Optimization in industry : mathematical programming and modeling techniques in practice

Bibliographic Information

Optimization in industry : mathematical programming and modeling techniques in practice

edited by Tito A. Ciriani and Robert C. Leachman

Wiley & Sons, c1993

Available at  / 35 libraries

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Note

Includes bibliographical references and index

Description and Table of Contents

Description

This volume focuses upon achievements in mathematical programming, their modelling and implications in optimization technology. The application areas presented use various models including linear, mixed integer and non-linear programming, and emphasize the practical value of optimization methods.

Table of Contents

  • Modelling Techniques for Automated Production Planning in the Semiconductor Industry
  • Crew Pairing Optimization at American Airlines Decision Technology
  • Optimization in Microelectronics Manufacturing
  • Combinatorial Models for Manufacturing: Optimizing Flow Management in Flexible Manufacturing Systems
  • Optimal Planning and Control of Consumer Products Packaging Lines
  • Optimization in Refinery Scheduling: Modelling and Solution
  • Nonlinear Optimization Algorithm for Mixed Integer Programming Problems
  • Mixed Integer Programming in Production Scheduling: A Case Study
  • Large Recursion Models: Practical Aspects of Recursion Techniques
  • The Job Sequencing Ordering Problems on a Card Assembly Line
  • Model Structures and Optimization Strategies.

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