Metaheuristics for Production Systems

Metaheuristics for Production Systems edited by El-Ghazali Talbi, Farouk Yalaoui, Lionel Amodeo.

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 consi...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Talbi, El-Ghazali (Editor), Yalaoui, Farouk (Editor), Amodeo, Lionel (Editor)
Format: eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2016.
Edition:1st ed. 2016.
Series:Operations Research/Computer Science Interfaces Series, 60
Springer eBook Collection.
Subjects:
Production management.
Operations research.
Decision making.
Management science.
Electronic resources (E-books)
Online Access:Click to view e-book
Holy Cross Note:Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.
Table of Contents:
  • A Literature Survey on Metaheuristics in Production Systems
  • Solving Unidirectional Flow Path Design Problems Using Metaheuristics
  • Iterated Great Deluge for the Dynamic Facility Layout Problem
  • Optimization Approaches for Multi-Level Assembly Systems Under Stochastic Lead Times
  • An Adapted NSGA-H Algorithm for a Reconfigurable Manufacturing System (RMS) Design Under Machines Reliability Constraints
  • Levy Strategy Based Metaheuristic for Smart Grid
  • Minimising Safety Stock and Lead Time in Production Systems Under Guaranteed-Service Time Models by Swarm Intelligence
  • Tabu Search Approaches for Two Car Sequencing Problems with Smoothing Constraints
  • Investigations on Performance Evaluation of Scheduling Heuristics and Metaheuristics in a Parallel machine Environment
  • Scheduling Complex Manufacturing Systems Using a Genetic Algorithm
  • An Efficient Heuristic to Minimize the Total Tardiness in the Parallel Machines Scheduling Problem
  • Integrated Planning and Scheduling with Dynamic Analysis and Control of Service Level and Costs
  • Meta-heuristics Approaches for the Flexible Job Shop Scheduling Problem
  • Fuzzy Modeling of Single Machine Scheduling Problems Including the Learning Effect.

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