Linear programming ( LP ), also called linear optimization , is a method to achieve the best outcome (such as maximum profit or lowest cost) in a mathematical model whose requirements and objective are represented by linear relationships . Linear programming is a special case of mathematical programming (also known as mathematical optimization ).
127-430: Engineering economics , previously known as engineering economy , is a subset of economics concerned with the use and "...application of economic principles" in the analysis of engineering decisions. As a discipline, it is focused on the branch of economics known as microeconomics in that it studies the behavior of individuals and firms in making decisions regarding the allocation of limited resources. Thus, it focuses on
254-422: A company not only determine the difference between fixed and incremental costs of certain operations, but also calculates that cost, depending upon a number of variables. Further uses of engineering economics include: Each of the previous components of engineering economics is critical at certain junctures, depending on the situation, scale, and objective of the project at hand. Critical path economy, as an example,
381-410: A concise explanation. The actual acquisition of that capital has many different routes, from equity to bonds to retained profits, each having unique strengths and weakness, especially when in relation to income taxation. Factors such as risk of capital loss, along with possible or expected returns must also be considered when capital budgeting is underway. For example, if a company has $ 20,000 to invest in
508-702: A definition of economics as a study of human behaviour, subject to and constrained by scarcity, which forces people to choose, allocate scarce resources to competing ends, and economise (seeking the greatest welfare while avoiding the wasting of scarce resources). According to Robbins: "Economics is the science which studies human behavior as a relationship between ends and scarce means which have alternative uses". Robbins' definition eventually became widely accepted by mainstream economists, and found its way into current textbooks. Although far from unanimous, most mainstream economists would accept some version of Robbins' definition, even though many have raised serious objections to
635-451: A distinct field. The book focused on determinants of national income in the short run when prices are relatively inflexible. Keynes attempted to explain in broad theoretical detail why high labour-market unemployment might not be self-correcting due to low " effective demand " and why even price flexibility and monetary policy might be unavailing. The term "revolutionary" has been applied to the book in its impact on economic analysis. During
762-407: A family of linear programming problems for which the simplex method takes a number of steps exponential in the problem size. In fact, for some time it was not known whether the linear programming problem was solvable in polynomial time , i.e. of complexity class P . Like the simplex algorithm of Dantzig, the criss-cross algorithm is a basis-exchange algorithm that pivots between bases. However,
889-428: A farmer has a piece of farm land, say L hectares , to be planted with either wheat or barley or some combination of the two. The farmer has F kilograms of fertilizer and P kilograms of pesticide. Every hectare of wheat requires F 1 kilograms of fertilizer and P 1 kilograms of pesticide, while every hectare of barley requires F 2 kilograms of fertilizer and P 2 kilograms of pesticide. Let S 1 be
1016-497: A feasible solution at a vertex of the polytope and then walking along a path on the edges of the polytope to vertices with non-decreasing values of the objective function until an optimum is reached for sure. In many practical problems, " stalling " occurs: many pivots are made with no increase in the objective function. In rare practical problems, the usual versions of the simplex algorithm may actually "cycle". To avoid cycles, researchers developed new pivoting rules. In practice,
1143-420: A lower relative cost of production, rather relying only on its own production. It has been termed a "fundamental analytical explanation" for gains from trade . Coming at the end of the classical tradition, John Stuart Mill (1848) parted company with the earlier classical economists on the inevitability of the distribution of income produced by the market system. Mill pointed to a distinct difference between
1270-476: A meeting with John von Neumann to discuss his simplex method, von Neumann immediately conjectured the theory of duality by realizing that the problem he had been working in game theory was equivalent. Dantzig provided formal proof in an unpublished report "A Theorem on Linear Inequalities" on January 5, 1948. Dantzig's work was made available to public in 1951. In the post-war years, many industries applied it in their daily planning. Dantzig's original example
1397-449: A more comprehensive theory of costs on the supply side. In the 20th century, neoclassical theorists departed from an earlier idea that suggested measuring total utility for a society, opting instead for ordinal utility , which posits behaviour-based relations across individuals. In microeconomics , neoclassical economics represents incentives and costs as playing a pervasive role in shaping decision making . An immediate example of this
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#17327987482291524-467: A more important role in mainstream economic theory. Also, heterogeneity among the economic agents, e.g. differences in income, plays an increasing role in recent economic research. Other schools or trends of thought referring to a particular style of economics practised at and disseminated from well-defined groups of academicians that have become known worldwide, include the Freiburg School ,
1651-402: A number of high, moderate, and low risk projects, the decision would depend upon how much risk the company is willing to take on, and if the returns offered by each category offset this perceived risk. Continuing with this example, if the high risk offered only 20% return, while the moderate offered 19% return, engineers and managers would most likely choose the moderate risk project, as its return
1778-491: A profit, which may confuse the situation. To add to this, each will change the income tax position of the participants. Interest and money time relationships come into play when the capital required to complete a project must be either borrowed or derived from reserves. To borrow brings about the question of interest and value created by the completion of the project. While taking capital from reserves also denies its usage on other projects that may yield more results. Interest in
1905-597: A proportion of the value their work had created. Marxian economics was further developed by Karl Kautsky (1854–1938)'s The Economic Doctrines of Karl Marx and The Class Struggle (Erfurt Program) , Rudolf Hilferding 's (1877–1941) Finance Capital , Vladimir Lenin (1870–1924)'s The Development of Capitalism in Russia and Imperialism, the Highest Stage of Capitalism , and Rosa Luxemburg (1871–1919)'s The Accumulation of Capital . At its inception as
2032-409: A rapidly growing population against a limited amount of land meant diminishing returns to labour. The result, he claimed, was chronically low wages, which prevented the standard of living for most of the population from rising above the subsistence level. Economist Julian Simon has criticised Malthus's conclusions. While Adam Smith emphasised production and income, David Ricardo (1817) focused on
2159-558: A series of lines to create a polygon then to determine the largest, or smallest, point on that shape. Manufacturing operations often use linear programming to help mitigate costs and maximize profits or production. Considering the prevalence of capital to be lent for a certain period of time, with the understanding that it will be returned to the investor, money-time relationships analyze the costs associated with these types of actions. Capital itself must be divided into two different categories, equity capital and debt capital . Equity capital
2286-469: A set of stable preferences, a definite overall guiding objective, and the capability of making a choice. There exists an economic problem, subject to study by economic science, when a decision (choice) is made by one or more players to attain the best possible outcome. Keynesian economics derives from John Maynard Keynes , in particular his book The General Theory of Employment, Interest and Money (1936), which ushered in contemporary macroeconomics as
2413-409: A single tax on income of land owners. In reaction against copious mercantilist trade regulations, the physiocrats advocated a policy of laissez-faire , which called for minimal government intervention in the economy. Adam Smith (1723–1790) was an early economic theorist. Smith was harshly critical of the mercantilists but described the physiocratic system "with all its imperfections" as "perhaps
2540-452: A social science, economics was defined and discussed at length as the study of production, distribution, and consumption of wealth by Jean-Baptiste Say in his Treatise on Political Economy or, The Production, Distribution, and Consumption of Wealth (1803). These three items were considered only in relation to the increase or diminution of wealth, and not in reference to their processes of execution. Say's definition has survived in part up to
2667-435: A sought after end). Some subsequent comments criticised the definition as overly broad in failing to limit its subject matter to analysis of markets. From the 1960s, however, such comments abated as the economic theory of maximizing behaviour and rational-choice modelling expanded the domain of the subject to areas previously treated in other fields. There are other criticisms as well, such as in scarcity not accounting for
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#17327987482292794-442: A synthesis emerged by the 2000s, often given the name the new neoclassical synthesis . It integrated the rational expectations and optimizing framework of the new classical theory with a new Keynesian role for nominal rigidities and other market imperfections like imperfect information in goods, labour and credit markets. The monetarist importance of monetary policy in stabilizing the economy and in particular controlling inflation
2921-493: A system of linear inequalities dates back at least as far as Fourier , who in 1827 published a method for solving them, and after whom the method of Fourier–Motzkin elimination is named. In the late 1930s, Soviet mathematician Leonid Kantorovich and American economist Wassily Leontief independently delved into the practical applications of linear programming. Kantorovich focused on manufacturing schedules, while Leontief explored economic applications. Their groundbreaking work
3048-471: Is a convex polytope , which is a set defined as the intersection of finitely many half spaces , each of which is defined by a linear inequality. Its objective function is a real -valued affine (linear) function defined on this polytope. A linear programming algorithm finds a point in the polytope where this function has the largest (or smallest) value if such a point exists. Linear programs are problems that can be expressed in standard form as Here
3175-459: Is a global maximum . An optimal solution need not exist, for two reasons. First, if the constraints are inconsistent, then no feasible solution exists: For instance, the constraints x ≥ 2 and x ≤ 1 cannot be satisfied jointly; in this case, we say that the LP is infeasible . Second, when the polytope is unbounded in the direction of the gradient of the objective function (where
3302-421: Is a term for the "way (nomos) to run a household (oikos)", or in other words the know-how of an οἰκονομικός ( oikonomikos ), or "household or homestead manager". Derived terms such as "economy" can therefore often mean "frugal" or "thrifty". By extension then, "political economy" was the way to manage a polis or state. There are a variety of modern definitions of economics ; some reflect evolving views of
3429-438: Is also applied to such diverse subjects as crime , education , the family , feminism , law , philosophy , politics , religion , social institutions , war , science , and the environment . The earlier term for the discipline was "political economy", but since the late 19th century, it has commonly been called "economics". The term is ultimately derived from Ancient Greek οἰκονομία ( oikonomia ) which
3556-409: Is based on a number of tables that give the class of asset, and its life. Certain classes are given certain lifespans, and these affect the value of an asset that can be depreciated each year. This does not necessarily mean that an asset must be discarded after its MACRS life is fulfilled, just that it can no longer be used for tax deductions. Capital budgeting , in relation to engineering economics,
3683-410: Is called the objective function . The constraints A x ≤ b {\displaystyle A\mathbf {x} \leq \mathbf {b} } and x ≥ 0 {\displaystyle \mathbf {x} \geq \mathbf {0} } specify a convex polytope over which the objective function is to be optimized. Linear programming can be applied to various fields of study. It
3810-491: Is either a fixed number of years or the estimated life of the project. The salvage value is often forgotten, but is important, and is either the net cost or revenue for decommissioning the project. Some other topics that may be addressed in engineering economics are inflation , uncertainty , replacements, depreciation , resource depletion , taxes , tax credits , accounting , cost estimations, or capital financing . All these topics are primary skills and knowledge areas in
3937-529: Is far more favorable for its category. The high risk project failed to offer proper returns to warrant its risk status. A more difficult decision may be between a moderate risk offering 15% while a low risk offering 11% return. The decision here would be much more subject to factors such as company policy, extra available capital, and possible investors. "In general, the firm should estimate the project opportunities, including investment requirements and prospective rates of return for each, expected to be available for
Engineering economics - Misplaced Pages Continue
4064-507: Is important for two major reasons. Both of these reasons, however, cannot make up for the "fleeting" nature of depreciation, which make direct analysis somewhat difficult. To further add to the issues associated with depreciation, it must be broken down into three separate types, each having intricate calculations and implications. Calculation of depreciation also comes in a number of forms; straight line, declining balance, sum-of-the-year's, and service output . The first method being perhaps
4191-418: Is money already at the disposal of the business, and mainly derived from profit, and therefore is not of much concern, as it has no owners that demand its return with interest. Debt capital does indeed have owners, and they require that its usage be returned with "profit", otherwise known as interest. The interest to be paid by the business is going to be an expense, while the capital lenders will take interest as
4318-507: Is necessary in most situations as it is the coordination and planning of material, labor, and capital movements in a specific project. The most critical of these "paths" are determined to be those that have an effect upon the outcome both in time and cost. Therefore, the critical paths must be determined and closely monitored by engineers and managers alike. Engineering economics helps provide the Gantt charts and activity-event networks to ascertain
4445-422: Is primal feasible and that y = ( y 1 , y 2 , ... , y m ) is dual feasible. Let ( w 1 , w 2 , ..., w m ) denote the corresponding primal slack variables, and let ( z 1 , z 2 , ... , z n ) denote the corresponding dual slack variables. Then x and y are optimal for their respective problems if and only if So if
4572-413: Is promoting it. By preferring the support of domestic to that of foreign industry, he intends only his own security; and by directing that industry in such a manner as its produce may be of the greatest value, he intends only his own gain, and he is in this, as in many other cases, led by an invisible hand to promote an end which was no part of his intention. Nor is it always the worse for the society that it
4699-458: Is slack in the dual (shadow) price non-negativity constraint requirement, i.e., the price is not zero, then there must be scarce supplies (no "leftovers"). Geometrically, the linear constraints define the feasible region , which is a convex polytope . A linear function is a convex function , which implies that every local minimum is a global minimum ; similarly, a linear function is a concave function , which implies that every local maximum
4826-598: Is the consumer theory of individual demand, which isolates how prices (as costs) and income affect quantity demanded. In macroeconomics it is reflected in an early and lasting neoclassical synthesis with Keynesian macroeconomics. Neoclassical economics is occasionally referred as orthodox economics whether by its critics or sympathisers. Modern mainstream economics builds on neoclassical economics but with many refinements that either supplement or generalise earlier analysis, such as econometrics , game theory , analysis of market failure and imperfect competition , and
4953-420: Is the fact that (for the symmetric dual) the dual of a dual linear program is the original primal linear program. Additionally, every feasible solution for a linear program gives a bound on the optimal value of the objective function of its dual. The weak duality theorem states that the objective function value of the dual at any feasible solution is always greater than or equal to the objective function value of
5080-423: Is the proper usage and utilization of capital to achieve project objectives. It can be fully defined by the statement; "... as the series of decisions by individuals and firms concerning how much and where resources will be obtained and expended to meet future objectives." This definition almost perfectly explains capital and its general relation to engineering, though some special cases may not lend themselves to such
5207-417: Is the usual and most intuitive form of describing a linear programming problem. It consists of the following three parts: The problem is usually expressed in matrix form , and then becomes: Other forms, such as minimization problems, problems with constraints on alternative forms, and problems involving negative variables can always be rewritten into an equivalent problem in standard form. Suppose that
Engineering economics - Misplaced Pages Continue
5334-571: Is widely used in mathematics and, to a lesser extent, in business, economics , and some engineering problems. There is a close connection between linear programs, eigenequations, John von Neumann 's general equilibrium model, and structural equilibrium models (see dual linear program for details). Industries that use linear programming models include transportation, energy, telecommunications, and manufacturing. It has proven useful in modeling diverse types of problems in planning , routing , scheduling , assignment , and design. The problem of solving
5461-780: The School of Lausanne , the Stockholm school and the Chicago school of economics . During the 1970s and 1980s mainstream economics was sometimes separated into the Saltwater approach of those universities along the Eastern and Western coasts of the US, and the Freshwater, or Chicago school approach. Within macroeconomics there is, in general order of their historical appearance in
5588-525: The dominating set problem are also covering LPs. Finding a fractional coloring of a graph is another example of a covering LP. In this case, there is one constraint for each vertex of the graph and one variable for each independent set of the graph. It is possible to obtain an optimal solution to the dual when only an optimal solution to the primal is known using the complementary slackness theorem. The theorem states: Suppose that x = ( x 1 , x 2 , ... , x n )
5715-517: The i -th slack variable of the primal is not zero, then the i -th variable of the dual is equal to zero. Likewise, if the j -th slack variable of the dual is not zero, then the j -th variable of the primal is equal to zero. This necessary condition for optimality conveys a fairly simple economic principle. In standard form (when maximizing), if there is slack in a constrained primal resource (i.e., there are "leftovers"), then additional quantities of that resource must have no value. Likewise, if there
5842-433: The macroeconomics of high unemployment. Gary Becker , a contributor to the expansion of economics into new areas, described the approach he favoured as "combin[ing the] assumptions of maximizing behaviour, stable preferences , and market equilibrium , used relentlessly and unflinchingly." One commentary characterises the remark as making economics an approach rather than a subject matter but with great specificity as to
5969-432: The minimum principle for concave functions ) since linear functions are both convex and concave. However, some problems have distinct optimal solutions; for example, the problem of finding a feasible solution to a system of linear inequalities is a linear programming problem in which the objective function is the zero function (i.e., the constant function taking the value zero everywhere). For this feasibility problem with
6096-467: The neoclassical model of economic growth for analysing long-run variables affecting national income . Neoclassical economics studies the behaviour of individuals , households , and organisations (called economic actors, players, or agents), when they manage or use scarce resources, which have alternative uses, to achieve desired ends. Agents are assumed to act rationally, have multiple desirable ends in sight, limited resources to obtain these ends,
6223-415: The societal to the microeconomic level: Economics is a study of man in the ordinary business of life. It enquires how he gets his income and how he uses it. Thus, it is on the one side, the study of wealth and on the other and more important side, a part of the study of man. Lionel Robbins (1932) developed implications of what has been termed "[p]erhaps the most commonly accepted current definition of
6350-675: The time value of money is central to most engineering economic analyses. Cash flows are discounted using an interest rate , except in the most basic economic studies. For each problem, there are usually many possible alternatives . One option that must be considered in each analysis, and is often the choice , is the do nothing alternative . The opportunity cost of making one choice over another must also be considered. There are also non-economic factors to be considered, like color, style, public image, etc.; such factors are termed attributes . Costs as well as revenues are considered, for each alternative, for an analysis period that
6477-400: The "choice process and the type of social interaction that [such] analysis involves." The same source reviews a range of definitions included in principles of economics textbooks and concludes that the lack of agreement need not affect the subject-matter that the texts treat. Among economists more generally, it argues that a particular definition presented may reflect the direction toward which
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#17327987482296604-486: The 1970s and 1980s, when several major central banks followed a monetarist-inspired policy, but was later abandoned because the results were unsatisfactory. A more fundamental challenge to the prevailing Keynesian paradigm came in the 1970s from new classical economists like Robert Lucas , Thomas Sargent and Edward Prescott . They introduced the notion of rational expectations in economics, which had profound implications for many economic discussions, among which were
6731-531: The LP feasible region, there exists a set of d (or fewer) inequality constraints from the LP such that, when we treat those d constraints as equalities, the unique solution is x . Thereby we can study these vertices by means of looking at certain subsets of the set of all constraints (a discrete set), rather than the continuum of LP solutions. This principle underlies the simplex algorithm for solving linear programs. The simplex algorithm , developed by George Dantzig in 1947, solves LP problems by constructing
6858-400: The amount of unused pesticide. In matrix form this becomes: Every linear programming problem, referred to as a primal problem, can be converted into a dual problem , which provides an upper bound to the optimal value of the primal problem. In matrix form, we can express the primal problem as: An alternative primal formulation is: There are two ideas fundamental to duality theory. One
6985-407: The analysis of wealth: how wealth is created (production), distributed, and consumed; and how wealth can grow. But he said that economics can be used to study other things, such as war, that are outside its usual focus. This is because war has as the goal winning it (as a sought after end ), generates both cost and benefits; and, resources (human life and other costs) are used to attain the goal. If
7112-479: The area of inquiry or object of inquiry rather than the methodology. In the biology department, it is not said that all biology should be studied with DNA analysis. People study living organisms in many different ways, so some people will perform DNA analysis, others might analyse anatomy, and still others might build game theoretic models of animal behaviour. But they are all called biology because they all study living organisms. According to Ha Joon Chang, this view that
7239-443: The author believes economics is evolving, or should evolve. Many economists including nobel prize winners James M. Buchanan and Ronald Coase reject the method-based definition of Robbins and continue to prefer definitions like those of Say, in terms of its subject matter. Ha-Joon Chang has for example argued that the definition of Robbins would make economics very peculiar because all other sciences define themselves in terms of
7366-443: The basis for depreciation in a basic sense, as any decrease in value would be based on an original value . The idea and existence of depreciation becomes especially relevant to engineering and project management is the fact that capital equipment and assets used in operations will slowly decrease in worth, which will also coincide with an increase in the likelihood of machine failure. Hence the recording and calculation of depreciation
7493-716: The behaviour and interactions of economic agents and how economies work. Microeconomics analyses what is viewed as basic elements within economies , including individual agents and markets , their interactions, and the outcomes of interactions. Individual agents may include, for example, households, firms, buyers, and sellers. Macroeconomics analyses economies as systems where production, distribution, consumption, savings , and investment expenditure interact, and factors affecting it: factors of production , such as labour , capital , land , and enterprise , inflation , economic growth , and public policies that have impact on these elements . It also seeks to analyse and describe
7620-574: The central concepts of optimization theory, such as duality, decomposition, and the importance of convexity and its generalizations. Likewise, linear programming was heavily used in the early formation of microeconomics , and it is currently utilized in company management, such as planning, production, transportation, and technology. Although the modern management issues are ever-changing, most companies would like to maximize profits and minimize costs with limited resources. Google also uses linear programming to stabilize YouTube videos. Standard form
7747-517: The colonies. Physiocrats , a group of 18th-century French thinkers and writers, developed the idea of the economy as a circular flow of income and output. Physiocrats believed that only agricultural production generated a clear surplus over cost, so that agriculture was the basis of all wealth. Thus, they opposed the mercantilist policy of promoting manufacturing and trade at the expense of agriculture, including import tariffs. Physiocrats advocated replacing administratively costly tax collections with
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#17327987482297874-571: The coming period. Then the available capital should be tentatively allocated to the most favorable projects. The lowest prospective rate of return within the capital available then becomes the minimum acceptable rate of return for analyses of any projects during that period." Being one of the most important and integral operations in the engineering economic field is the minimization of cost in systems and processes. Time, resources, labor, and capital must all be minimized when placed into any system, so that revenue, product, and profit can be maximized. Hence,
8001-404: The common form of the simplex algorithm . This form introduces non-negative slack variables to replace inequalities with equalities in the constraints. The problems can then be written in the following block matrix form: where s {\displaystyle \mathbf {s} } are the newly introduced slack variables, x {\displaystyle \mathbf {x} } are
8128-588: The company wishes to know the Net Present Benefit (NPB) of these benefits; then the factor is the P/A of 8 yrs at 5%. This is 6.463. If the company wishes to know the future worth of these benefits; then the factors is the F/A of 8 yrs at 5%; which is 9.549. The former gives a NPB of $ 16,157.50, while the latter gives a future value of $ 23,872.50. These scenarios are extremely simple in nature, and do not reflect
8255-546: The components of x {\displaystyle \mathbf {x} } are the variables to be determined, c {\displaystyle \mathbf {c} } and b {\displaystyle \mathbf {b} } are given vectors , and A {\displaystyle A} is a given matrix . The function whose value is to be maximized ( x ↦ c T x {\displaystyle \mathbf {x} \mapsto \mathbf {c} ^{\mathsf {T}}\mathbf {x} } in this case)
8382-676: The correct use of time and resources. Proper value analysis finds its roots in the need for industrial engineers and managers to not only simplify and improve processes and systems, but also the logical simplification of the designs of those products and systems. Though not directly related to engineering economy, value analysis is nonetheless important, and allows engineers to properly manage new and existing systems/processes to make them more simple and save money and time. Further, value analysis helps combat common "roadblock excuses" that may trip up managers or engineers. Sayings such as "The customer wants it this way" are retorted by questions such as; has
8509-489: The criss-cross algorithm need not maintain feasibility, but can pivot rather from a feasible basis to an infeasible basis. The criss-cross algorithm does not have polynomial time-complexity for linear programming. Both algorithms visit all 2 corners of a (perturbed) cube in dimension D , the Klee–Minty cube , in the worst case . In contrast to the simplex algorithm, which finds an optimal solution by traversing
8636-468: The customer been told of cheaper alternatives or methods? "If the product is changed, machines will be idle for lack of work" can be combated by; can management not find new and profitable uses for these machines? Questions like these are part of engineering economy, as they preface any real studies or analyses. Linear programming is the use of mathematical methods to find optimized solutions, whether they be minimized or maximized in nature. This method uses
8763-460: The decision making process, its context and environment. It is pragmatic by nature, integrating economic theory with engineering practice. But, it is also a simplified application of microeconomic theory in that it assumes elements such as price determination, competition and demand/supply to be fixed inputs from other sources. As a discipline though, it is closely related to others such as statistics , mathematics and cost accounting . It draws upon
8890-422: The decision variables, and z {\displaystyle z} is the variable to be maximized. The example above is converted into the following augmented form: where x 3 , x 4 , x 5 {\displaystyle x_{3},x_{4},x_{5}} are (non-negative) slack variables, representing in this example the unused area, the amount of unused fertilizer, and
9017-488: The design of modern monetary policy and are now standard workhorses in most central banks. After the 2007–2008 financial crisis , macroeconomic research has put greater emphasis on understanding and integrating the financial system into models of the general economy and shedding light on the ways in which problems in the financial sector can turn into major macroeconomic recessions. In this and other research branches, inspiration from behavioural economics has started playing
9144-506: The distribution of income among landowners, workers, and capitalists. Ricardo saw an inherent conflict between landowners on the one hand and labour and capital on the other. He posited that the growth of population and capital, pressing against a fixed supply of land, pushes up rents and holds down wages and profits. Ricardo was also the first to state and prove the principle of comparative advantage , according to which each country should specialise in producing and exporting goods in that it has
9271-507: The easiest to calculate, while the remaining have varying levels of difficulty and utility. Most situations faced by managers in regards to depreciation can be solved using any of these formulas, however, company policy or preference of individual may affect the choice of model. The main form of depreciation used inside the U.S. is the Modified Accelerated Capital Recovery System ( MACRS ), and it
9398-626: The economic outcomes when alternatives to accomplish a defined purpose are available. In some U.S. undergraduate civil engineering curricula, engineering economics is a required course. It is a topic on the Fundamentals of Engineering examination , and questions might also be asked on the Principles and Practice of Engineering examination; both are part of the Professional Engineering registration process. Considering
9525-469: The economy can and should be studied in only one way (for example by studying only rational choices), and going even one step further and basically redefining economics as a theory of everything, is peculiar. Questions regarding distribution of resources are found throughout the writings of the Boeotian poet Hesiod and several economic historians have described Hesiod as the "first economist". However,
9652-490: The edges between vertices on a polyhedral set, interior-point methods move through the interior of the feasible region. This is the first worst-case polynomial-time algorithm ever found for linear programming. To solve a problem which has n variables and can be encoded in L input bits, this algorithm runs in O ( n 6 L ) {\displaystyle O(n^{6}L)} time. Leonid Khachiyan solved this long-standing complexity issue in 1979 with
9779-489: The effect annuities have on loans, operations, or other situations. All one needs to utilize a compound interest table is three things; the time period of the analysis, the minimum attractive rate of return (MARR), and the capital value itself. The table will yield a multiplication factor to be used with the capital value, this will then give the user the proper future or present value. Using the compound interest tables mentioned above, an engineer or manager can quickly determine
9906-570: The engineer at hand. Economic studies, which are much more common outside of engineering economics, are still used from time to time to determine feasibility and utility of certain projects. They do not, however, truly reflect the "common notion" of economic studies, which is fixated upon macroeconomics, something engineers have little interaction with. Therefore, the studies conducted in engineering economics are for specific companies and limited projects inside those companies. At most one may expect to find some feasibility studies done by private firms for
10033-516: The field of cost engineering . Since engineering is an important part of the manufacturing sector of the economy , engineering industrial economics is an important part of industrial or business economics. Major topics in engineering industrial economics are: Some examples of engineering economic problems range from value analysis to economic studies. Each of these is relevant in different situations, and most often used by engineers or project managers. For example, engineering economic analysis helps
10160-751: The first large-scale macroeconometric model , applying the Keynesian thinking systematically to the US economy . Immediately after World War II, Keynesian was the dominant economic view of the United States establishment and its allies, Marxian economics was the dominant economic view of the Soviet Union nomenklatura and its allies. Monetarism appeared in the 1950s and 1960s, its intellectual leader being Milton Friedman . Monetarists contended that monetary policy and other monetary shocks, as represented by
10287-456: The five years, not making any payments prior. A much more applicable example is one with a certain piece of equipment that will yield benefit for a manufacturing operation over a certain period of time. For instance, the machine benefits the company $ 2,500.00 every year, and has a useful life of 8 years. The MARR is determined to be roughly 5%. The compound interest tables yield a different factor for different types of analysis in this scenario. If
10414-540: The following decades, many economists followed Keynes' ideas and expanded on his works. John Hicks and Alvin Hansen developed the IS–LM model which was a simple formalisation of some of Keynes' insights on the economy's short-run equilibrium. Franco Modigliani and James Tobin developed important theories of private consumption and investment , respectively, two major components of aggregate demand . Lawrence Klein built
10541-402: The general equation; C = a x + b / x + k {\displaystyle C=ax+b/x+k} where C is total cost, a b and k are constants, and x is the variable number of units produced. There are a great number of cost analysis formulas, each for particular situations and are warranted by the policies of the company in question, or the preferences of
10668-509: The global economy . Other broad distinctions within economics include those between positive economics , describing "what is", and normative economics , advocating "what ought to be"; between economic theory and applied economics ; between rational and behavioural economics ; and between mainstream economics and heterodox economics . Economic analysis can be applied throughout society, including business , finance , cybersecurity , health care , engineering and government . It
10795-474: The government or another business, but these again are in stark contrast to the overarching nature of true economic studies. Studies have a number of major steps that can be applied to almost every type of situation, those being as follows; Economics Economics ( / ˌ ɛ k ə ˈ n ɒ m ɪ k s , ˌ iː k ə -/ ) is a social science that studies the production , distribution , and consumption of goods and services . Economics focuses on
10922-461: The gradient of the objective function is the vector of the coefficients of the objective function), then no optimal value is attained because it is always possible to do better than any finite value of the objective function. Otherwise, if a feasible solution exists and if the constraint set is bounded, then the optimum value is always attained on the boundary of the constraint set, by the maximum principle for convex functions (alternatively, by
11049-424: The growth in the money stock, was an important cause of economic fluctuations, and consequently that monetary policy was more important than fiscal policy for purposes of stabilisation . Friedman was also skeptical about the ability of central banks to conduct a sensible active monetary policy in practice, advocating instead using simple rules such as a steady rate of money growth. Monetarism rose to prominence in
11176-463: The importance of various market failures for the functioning of the economy, as had Keynes. Not least, they proposed various reasons that potentially explained the empirically observed features of price and wage rigidity , usually made to be endogenous features of the models, rather than simply assumed as in older Keynesian-style ones. After decades of often heated discussions between Keynesians, monetarists, new classical and new Keynesian economists,
11303-407: The introduction of the ellipsoid method . The convergence analysis has (real-number) predecessors, notably the iterative methods developed by Naum Z. Shor and the approximation algorithms by Arkadi Nemirovski and D. Yudin. Khachiyan's algorithm was of landmark importance for establishing the polynomial-time solvability of linear programs. The algorithm was not a computational break-through, as
11430-568: The later simplex method . Hitchcock had died in 1957, and the Nobel Memorial Prize is not awarded posthumously. From 1946 to 1947 George B. Dantzig independently developed general linear programming formulation to use for planning problems in the US Air Force. In 1947, Dantzig also invented the simplex method that, for the first time efficiently, tackled the linear programming problem in most cases. When Dantzig arranged
11557-451: The literature; classical economics , neoclassical economics , Keynesian economics , the neoclassical synthesis , monetarism , new classical economics , New Keynesian economics and the new neoclassical synthesis . Linear programming More formally, linear programming is a technique for the optimization of a linear objective function , subject to linear equality and linear inequality constraints . Its feasible region
11684-424: The logical framework of economics but adds to that the analytical power of mathematics and statistics. Engineers seek solutions to problems, and along with the technical aspects, the economic viability of each potential solution is normally considered from a specific viewpoint that reflects its economic utility to a constituency. Fundamentally, engineering economics involves formulating, estimating, and evaluating
11811-449: The market's two roles: allocation of resources and distribution of income. The market might be efficient in allocating resources but not in distributing income, he wrote, making it necessary for society to intervene. Value theory was important in classical theory. Smith wrote that the "real price of every thing ... is the toil and trouble of acquiring it". Smith maintained that, with rent and profit, other costs besides wages also enter
11938-437: The most famous passages in all economics," Smith represents every individual as trying to employ any capital they might command for their own advantage, not that of the society, and for the sake of profit, which is necessary at some level for employing capital in domestic industry, and positively related to the value of produce. In this: He generally, indeed, neither intends to promote the public interest, nor knows how much he
12065-925: The number of possible solutions that must be checked. The linear programming problem was first shown to be solvable in polynomial time by Leonid Khachiyan in 1979, but a larger theoretical and practical breakthrough in the field came in 1984 when Narendra Karmarkar introduced a new interior-point method for solving linear-programming problems. Linear programming is a widely used field of optimization for several reasons. Many practical problems in operations research can be expressed as linear programming problems. Certain special cases of linear programming, such as network flow problems and multicommodity flow problems , are considered important enough to have much research on specialized algorithms. A number of algorithms for other types of optimization problems work by solving linear programming problems as sub-problems. Historically, ideas from linear programming have inspired many of
12192-503: The pessimistic analysis of Malthus (1798). John Stuart Mill (1844) delimited the subject matter further: The science which traces the laws of such of the phenomena of society as arise from the combined operations of mankind for the production of wealth, in so far as those phenomena are not modified by the pursuit of any other object. Alfred Marshall provided a still widely cited definition in his textbook Principles of Economics (1890) that extended analysis beyond wealth and from
12319-487: The present, modified by substituting the word "wealth" for "goods and services" meaning that wealth may include non-material objects as well. One hundred and thirty years later, Lionel Robbins noticed that this definition no longer sufficed, because many economists were making theoretical and philosophical inroads in other areas of human activity. In his Essay on the Nature and Significance of Economic Science , he proposed
12446-409: The price of a commodity. Other classical economists presented variations on Smith, termed the ' labour theory of value '. Classical economics focused on the tendency of any market economy to settle in a final stationary state made up of a constant stock of physical wealth (capital) and a constant population size . Marxist (later, Marxian) economics descends from classical economics and it derives from
12573-405: The primal at any feasible solution. The strong duality theorem states that if the primal has an optimal solution, x , then the dual also has an optimal solution, y , and c x = b y . A linear program can also be unbounded or infeasible. Duality theory tells us that if the primal is unbounded then the dual is infeasible by the weak duality theorem. Likewise, if the dual is unbounded, then
12700-403: The primal must be infeasible. However, it is possible for both the dual and the primal to be infeasible. See dual linear program for details and several more examples. A covering LP is a linear program of the form: such that the matrix A and the vectors b and c are non-negative. The dual of a covering LP is a packing LP , a linear program of the form: such that the matrix A and
12827-429: The purest approximation to the truth that has yet been published" on the subject. The publication of Adam Smith 's The Wealth of Nations in 1776, has been described as "the effective birth of economics as a separate discipline." The book identified land, labour, and capital as the three factors of production and the major contributors to a nation's wealth, as distinct from the physiocratic idea that only agriculture
12954-453: The reality of most industrial situations. Thus, an engineer must begin to factor in costs and benefits, then find the worth of the proposed machine, expansion, or facility. The fact that assets and material in the real world eventually wear down, and thence break, is a situation that must be accounted for. Depreciation itself is defined by the decreasing of value of any given asset, though some exceptions do exist. Valuation can be considered
13081-412: The scope and method of economics, emanating from that definition. A body of theory later termed "neoclassical economics" formed from about 1870 to 1910. The term "economics" was popularised by such neoclassical economists as Alfred Marshall and Mary Paley Marshall as a concise synonym for "economic science" and a substitute for the earlier " political economy ". This corresponded to the influence on
13208-483: The selling price of wheat and S 2 be the selling price of barley, per hectare. If we denote the area of land planted with wheat and barley by x 1 and x 2 respectively, then profit can be maximized by choosing optimal values for x 1 and x 2 . This problem can be expressed with the following linear programming problem in the standard form: In matrix form this becomes: Linear programming problems can be converted into an augmented form in order to apply
13335-401: The simplest terms is defined by the multiplication of the principle, the units of time, and the interest rate . The complexity of interest calculations, however, becomes much higher as factors such as compounding interest or annuities come into play. Engineers often utilize compound interest tables to determine the future or present value of capital. These tables can also be used to determine
13462-403: The simplex algorithm is quite efficient and can be guaranteed to find the global optimum if certain precautions against cycling are taken. The simplex algorithm has been proved to solve "random" problems efficiently, i.e. in a cubic number of steps, which is similar to its behavior on practical problems. However, the simplex algorithm has poor worst-case behavior: Klee and Minty constructed
13589-480: The simplex method is more efficient for all but specially constructed families of linear programs. However, Khachiyan's algorithm inspired new lines of research in linear programming. In 1984, N. Karmarkar proposed a projective method for linear programming. Karmarkar's algorithm improved on Khachiyan's worst-case polynomial bound (giving O ( n 3.5 L ) {\displaystyle O(n^{3.5}L)} ). Karmarkar claimed that his algorithm
13716-486: The so-called Lucas critique and the presentation of real business cycle models . During the 1980s, a group of researchers appeared being called New Keynesian economists , including among others George Akerlof , Janet Yellen , Gregory Mankiw and Olivier Blanchard . They adopted the principle of rational expectations and other monetarist or new classical ideas such as building upon models employing micro foundations and optimizing behaviour, but simultaneously emphasised
13843-444: The source of the word economy. Joseph Schumpeter described 16th and 17th century scholastic writers, including Tomás de Mercado , Luis de Molina , and Juan de Lugo , as "coming nearer than any other group to being the 'founders' of scientific economics" as to monetary , interest , and value theory within a natural-law perspective. Two groups, who later were called "mercantilists" and "physiocrats", more directly influenced
13970-406: The state or commonwealth with a revenue for the publick services. Jean-Baptiste Say (1803), distinguishing the subject matter from its public-policy uses, defined it as the science of production, distribution, and consumption of wealth . On the satirical side, Thomas Carlyle (1849) coined " the dismal science " as an epithet for classical economics , in this context, commonly linked to
14097-408: The subject of mathematical methods used in the natural sciences . Neoclassical economics systematically integrated supply and demand as joint determinants of both price and quantity in market equilibrium, influencing the allocation of output and income distribution. It rejected the classical economics' labour theory of value in favour of a marginal utility theory of value on the demand side and
14224-402: The subject or different views among economists. Scottish philosopher Adam Smith (1776) defined what was then called political economy as "an inquiry into the nature and causes of the wealth of nations", in particular as: a branch of the science of a statesman or legislator [with the twofold objectives of providing] a plentiful revenue or subsistence for the people ... [and] to supply
14351-471: The subject": Economics is the science which studies human behaviour as a relationship between ends and scarce means which have alternative uses. Robbins described the definition as not classificatory in "pick[ing] out certain kinds of behaviour" but rather analytical in "focus[ing] attention on a particular aspect of behaviour, the form imposed by the influence of scarcity ." He affirmed that previous economists have usually centred their studies on
14478-826: The subsequent development of the subject. Both groups were associated with the rise of economic nationalism and modern capitalism in Europe. Mercantilism was an economic doctrine that flourished from the 16th to 18th century in a prolific pamphlet literature, whether of merchants or statesmen. It held that a nation's wealth depended on its accumulation of gold and silver. Nations without access to mines could obtain gold and silver from trade only by selling goods abroad and restricting imports other than of gold and silver. The doctrine called for importing inexpensive raw materials to be used in manufacturing goods, which could be exported, and for state regulation to impose protective tariffs on foreign manufactured goods and prohibit manufacturing in
14605-406: The value of capital over a certain time period. For example, a company wishes to borrow $ 5,000.00 to finance a new machine, and will need to repay that loan in 5 years at 7%. Using the table, 5 years and 7% gives the factor of 1.403, which will be multiplied by $ 5,000.00. This will result in $ 7,015.00. This is of course under the assumption that the company will make a lump payment at the conclusion of
14732-426: The vectors b and c are non-negative. Covering and packing LPs commonly arise as a linear programming relaxation of a combinatorial problem and are important in the study of approximation algorithms . For example, the LP relaxations of the set packing problem , the independent set problem , and the matching problem are packing LPs. The LP relaxations of the set cover problem , the vertex cover problem , and
14859-467: The war is not winnable or if the expected costs outweigh the benefits, the deciding actors (assuming they are rational) may never go to war (a decision ) but rather explore other alternatives. Economics cannot be defined as the science that studies wealth, war, crime, education, and any other field economic analysis can be applied to; but, as the science that studies a particular common aspect of each of those subjects (they all use scarce resources to attain
14986-438: The wartime successes propelled linear programming into the spotlight. Post-WWII, the method gained widespread recognition and became a cornerstone in various fields, from operations research to economics. The overlooked contributions of Kantorovich and Leontief in the late 1930s eventually became foundational to the broader acceptance and utilization of linear programming in optimizing decision-making processes. Kantorovich's work
15113-515: The word Oikos , the Greek word from which the word economy derives, was used for issues regarding how to manage a household (which was understood to be the landowner, his family, and his slaves ) rather than to refer to some normative societal system of distribution of resources, which is a more recent phenomenon. Xenophon , the author of the Oeconomicus , is credited by philologues for being
15240-460: The work of Karl Marx . The first volume of Marx's major work, Das Kapital , was published in 1867. Marx focused on the labour theory of value and theory of surplus value . Marx wrote that they were mechanisms used by capital to exploit labour. The labour theory of value held that the value of an exchanged commodity was determined by the labour that went into its production, and the theory of surplus value demonstrated how workers were only paid
15367-423: The zero-function for its objective-function, if there are two distinct solutions, then every convex combination of the solutions is a solution. The vertices of the polytope are also called basic feasible solutions . The reason for this choice of name is as follows. Let d denote the number of variables. Then the fundamental theorem of linear inequalities implies (for feasible problems) that for every vertex x of
15494-584: Was initially neglected in the USSR . About the same time as Kantorovich, the Dutch-American economist T. C. Koopmans formulated classical economic problems as linear programs. Kantorovich and Koopmans later shared the 1975 Nobel Memorial Prize in Economic Sciences . In 1941, Frank Lauren Hitchcock also formulated transportation problems as linear programs and gave a solution very similar to
15621-447: Was largely overlooked for decades. The turning point came during World War II when linear programming emerged as a vital tool. It found extensive use in addressing complex wartime challenges, including transportation logistics, scheduling, and resource allocation. Linear programming proved invaluable in optimizing these processes while considering critical constraints such as costs and resource availability. Despite its initial obscurity,
15748-421: Was no part of it. By pursuing his own interest he frequently promotes that of the society more effectually than when he really intends to promote it. The Reverend Thomas Robert Malthus (1798) used the concept of diminishing returns to explain low living standards. Human population , he argued, tended to increase geometrically, outstripping the production of food, which increased arithmetically. The force of
15875-892: Was productive. Smith discusses potential benefits of specialisation by division of labour , including increased labour productivity and gains from trade , whether between town and country or across countries. His "theorem" that "the division of labor is limited by the extent of the market" has been described as the "core of a theory of the functions of firm and industry " and a "fundamental principle of economic organization." To Smith has also been ascribed "the most important substantive proposition in all of economics" and foundation of resource-allocation theory—that, under competition , resource owners (of labour, land, and capital) seek their most profitable uses, resulting in an equal rate of return for all uses in equilibrium (adjusted for apparent differences arising from such factors as training and unemployment). In an argument that includes "one of
16002-437: Was recognised as well as the traditional Keynesian insistence that fiscal policy could also play an influential role in affecting aggregate demand . Methodologically, the synthesis led to a new class of applied models, known as dynamic stochastic general equilibrium or DSGE models, descending from real business cycles models, but extended with several new Keynesian and other features. These models proved useful and influential in
16129-453: Was to find the best assignment of 70 people to 70 jobs. The computing power required to test all the permutations to select the best assignment is vast; the number of possible configurations exceeds the number of particles in the observable universe . However, it takes only a moment to find the optimum solution by posing the problem as a linear program and applying the simplex algorithm . The theory behind linear programming drastically reduces
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