Production Economics: Integrating the Microeconomic and Engineering PerspectivesSpringer Science & Business Media, 2008-01-28 - 516 psl. A production economist focuses on assessment, and will use an aggregate description of technology to answer such questions as: How does the firm compare to its competitors? Has the firm improved its production capabilities? A production engineer focuses on optimizing resources, and will use a detailed description of technology to answer a completely different set of questions: Which operations or plants should produce which products at what time? Should resource capacity be expanded and, if so, which resources should be acquired? Each group could benefit from the other group's perspective. This book offers a unified, integrated point of view that bridges the gap between these two historically distinct perspectives. |
Turinys
Overview | 1 |
Production Functions | 19 |
Formal Description of Technology 35 | 34 |
Nonparametric Models of Technology | 53 |
Cost Function | 71 |
Indirect Production Function | 97 |
Distance Functions | 109 |
Nonconvex Models of Technology 125 | 124 |
IndexBased Dynamic Production Functions | 295 |
DistributionBased Dynamic Production Functions 309 | 308 |
Dynamic Production Function Approximations | 337 |
A Stochastic InputOutput Model | 373 |
MultiStage Dynamic Models of Technology 391 | 390 |
Optimizing Labor Resources Within a Warehouse | 421 |
A Notation and Mathematical Preliminaries | 435 |
B Real Analysis | 449 |
Efficiency Analysis 149 | 147 |
The TwoDimensional Projection | 167 |
MultiStage Efficiency Analysis | 191 |
Efficiency Analysis of Warehouse | 207 |
Index Numbers 223 | 222 |
Productivity Measurement | 241 |
Performance Measurement | 257 |
Economic Analysis | 271 |
Convex Sets | 461 |
Concave Convex Functions and Generalizations | 473 |
E Optimality Conditions | 479 |
F Envelope Theorem 491 | 490 |
H Theorem of the Maximum | 501 |
References | 511 |
| 517 | |
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activity aggregate assume batch Cobb-Douglas compute concave constant returns-to-scale constraints consumer convex combination convex cone convex hull convex sets corresponding cost function cumulative output defined Definition denote Determine differentiable distance function dual linear program dynamic production function Efficient Frontier emerge as output Envelope Theorem example firm follows free disposable hull homothetic HR technology identical implies indirect production function input and output input efficiency input free disposable input possibility set input vector input-output intersection interval inventory isocost isoquant labor Laspeyres line segment linear program matrix measure of input minimum cost model of technology nonnegative optimal output efficiency output rate Pareto efficient Pick Poisson process price index price vector problem Proof Proposition quantity index quasiconcave queue radial measure ratio Remark respectively Starts in period subset Suppose technology set Theorem TVRS units warehouse zero
