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Metaheuristics for Production Systems

✍ Scribed by El-Ghazali Talbi, Farouk Yalaoui, Lionel Amodeo (eds.)


Publisher
Springer International Publishing
Year
2016
Tongue
English
Leaves
370
Series
Operations Research/Computer Science Interfaces Series 60
Edition
1
Category
Library

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✦ Synopsis


This book discusses the main techniques and newest trends to manage and optimize the production and service systems. The book begins by examining the three main levels of decision systems in production: the long term (strategic), the middle term (tactical) and short term (operational). It also considers online management as a new level (a sub level of the short term). As each level encounters specific problems, appropriate approaches to deal with these are introduced and explained. These problems include the line design, the line balancing optimization, the physical layout of the production or service system, the forecasting optimization, the inventory management, the scheduling etc.

Metaheuristics for Production Systems then explores logistic optimization from two different perspectives: internal (production management), addressing issues of scheduling, layout and line designs, and external (supply chain management) focusing on transportation optimization, supply chain evaluation, and location of production. The book also looks at NP-hard problems that are common in production management. These complex configurations may mean that optimal solutions may not be reached due to variables, but the authors help provide a good solution for such problems. The effective new results and solutions offered in this book should appeal to researchers, managers, and engineers in the production and service industries.

✦ Table of Contents


Front Matter....Pages i-xxii
A Literature Survey on Metaheuristics in Production Systems....Pages 1-24
Solving Unidirectional Flow Path Design Problems Using Metaheuristics....Pages 25-56
Iterated Great Deluge for the Dynamic Facility Layout Problem....Pages 57-92
Optimization Approaches for Multi-level Assembly Systems Under Stochastic Lead Times....Pages 93-107
An Adapted NSGA-II Algorithm for a Reconfigurable Manufacturing System (RMS) Design Under Machines Reliability Constraints....Pages 109-130
LΓ©vy Strategy Based Metaheuristic for Smart Grid....Pages 131-147
Minimising Safety Stock and Lead Time in Production Systems Under Guaranteed-Service Time Models by Swarm Intelligence....Pages 149-166
Tabu Search Approaches for Two Car Sequencing Problems with Smoothing Constraints....Pages 167-190
Investigations on Performance Evaluation of Scheduling Heuristics and Metaheuristics in a Parallel Machine Environment....Pages 191-222
Scheduling Complex Manufacturing Systems Using a Genetic Algorithm....Pages 223-240
An Efficient Heuristic to Minimize the Total Tardiness in the Parallel Machines Scheduling Problem....Pages 241-262
Integrated Planning and Scheduling with Dynamic Analysis and Control of Service Level and Costs....Pages 263-283
Meta-heuristics Approaches for the Flexible Job Shop Scheduling Problem....Pages 285-314
Fuzzy Modeling of Single Machine Scheduling Problems Including the Learning Effect....Pages 315-348
Back Matter....Pages 349-350

✦ Subjects


Operations Management; Operation Research/Decision Theory; Operations Research, Management Science


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