TY - BOOK

T1 - Mathematical programming for industrial engineers

AU - Avriel, M.

AU - Golany, B.

PY - 1996

Y1 - 1996

N2 - "Bridging the gap between the theory of mathematical programming and the varied, real-world practices of industrial engineers, this state-of-the-art reference/text introduces the latest developments in linear, integer, multiobjective, stochastic, network, and dynamic programming, and details many relevant industrial-engineering applications." "Organized by mathematical-programming categories, Mathematical Programming for Industrial Engineers provides numerous exercises that reinforce essential concepts ... examines newly emerging uses for mathematical programming in operations research and management science ... compares the formulation, implementation, and success of various mathematical-programming approaches to different planning and control situations ... presents practical guidelines for using nonlinear programming software ... describes several case studies in full ... surveys a range of proven heuristic methods for solving industrial-engineering problems ... and more."--Jacket. 1. Introduction Mordecai Avriel and Boaz Golany -- 2. Linear Programming Allen L. Soyster and Jose A. Ventura -- 3. Integer Programming Timothy M. Magee and Fred Glover -- 4. Graph Theory and Networks James R. Evans -- 5. Dynamic Programming Eric V. Denardo -- 6. Nonlinear Programming Leon Lasdon, John Plummer and Allan D. Waren -- 7. Multiobjective Programming for Industrial Engineers Mario T. Tabucanon -- 8. Stochastic Programming John R. Birge and John M. Mulvey -- 9. Heuristic Methods Michael Pinedo and David Simchi-Levi.

AB - "Bridging the gap between the theory of mathematical programming and the varied, real-world practices of industrial engineers, this state-of-the-art reference/text introduces the latest developments in linear, integer, multiobjective, stochastic, network, and dynamic programming, and details many relevant industrial-engineering applications." "Organized by mathematical-programming categories, Mathematical Programming for Industrial Engineers provides numerous exercises that reinforce essential concepts ... examines newly emerging uses for mathematical programming in operations research and management science ... compares the formulation, implementation, and success of various mathematical-programming approaches to different planning and control situations ... presents practical guidelines for using nonlinear programming software ... describes several case studies in full ... surveys a range of proven heuristic methods for solving industrial-engineering problems ... and more."--Jacket. 1. Introduction Mordecai Avriel and Boaz Golany -- 2. Linear Programming Allen L. Soyster and Jose A. Ventura -- 3. Integer Programming Timothy M. Magee and Fred Glover -- 4. Graph Theory and Networks James R. Evans -- 5. Dynamic Programming Eric V. Denardo -- 6. Nonlinear Programming Leon Lasdon, John Plummer and Allan D. Waren -- 7. Multiobjective Programming for Industrial Engineers Mario T. Tabucanon -- 8. Stochastic Programming John R. Birge and John M. Mulvey -- 9. Heuristic Methods Michael Pinedo and David Simchi-Levi.

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SN - 9780824796204

BT - Mathematical programming for industrial engineers

CY - New York

ER -