Mathematical programming for industrial engineers

"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 ma...

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Bibliographic Details
Other Authors: Avriel, M., Golany, B.
Format: Book
Language:English
Published: New York Marcel Dekker 1996
Series:Industrial engineering v. 20
Subjects:
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020 |a 0824796209 (alk. paper) 
039 9 |a 201401201806  |b zul  |c 201308151528  |d shahrim  |c 200910081341  |d VLOAD  |y 200910081220  |z VLOAD 
040 |a UPNM 
090 |a TS 57.7  |b .M317 1996 
245 0 0 |a Mathematical programming for industrial engineers  |c edited by Mordecai Avriel, Boaz Golany. 
260 |a New York  |b Marcel Dekker  |c 1996 
300 |a xiv, 637 p.  |b ill.  |c 24 cm. 
490 1 |a Industrial engineering  |v 20 
504 |a Includes bibliographical references and index. 
505 0 0 |g 1.  |t Introduction  |r Mordecai Avriel and Boaz Golany --  |g 2.  |t Linear Programming  |r Allen L. Soyster and Jose A. Ventura --  |g 3.  |t Integer Programming  |r Timothy M. Magee and Fred Glover --  |g 4.  |t Graph Theory and Networks  |r James R. Evans --  |g 5.  |t Dynamic Programming  |r Eric V. Denardo --  |g 6.  |t Nonlinear Programming  |r Leon Lasdon, John Plummer and Allan D. Waren --  |g 7.  |t Multiobjective Programming for Industrial Engineers  |r Mario T. Tabucanon --  |g 8.  |t Stochastic Programming  |r John R. Birge and John M. Mulvey --  |g 9.  |t Heuristic Methods  |r Michael Pinedo and David Simchi-Levi. 
520 |a "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."--BOOK JACKET. 
650 0 |a Programming (mathematics). 
700 1 |a Avriel, M. 
700 1 |a Golany, B. 
830 0 |a Industrial engineering  |v v. 20 
999 |a vtls000004510  |c 4576  |d 4576