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Metaheuristics for production systems

Amodeo, Lionel.

Metaheuristics for production systems

Record Type:	Electronic resources : Monograph/item
Title/Author:	Metaheuristics for production systemsedited by El-Ghazali Talbi, Farouk Yalaoui, Lionel Amodeo.
other author:	Talbi, El-Ghazali.
Published:	Cham :Springer International Publishing :2016.
Description:	xxii, 350 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Production schedulingData processing.
Online resource:	http://dx.doi.org/10.1007/978-3-319-23350-5
ISBN:	9783319233505$q(electronic bk.)

Metaheuristics for production systems
Metaheuristics for production systems[electronic resource] /edited by El-Ghazali Talbi, Farouk Yalaoui, Lionel Amodeo. - Cham :Springer International Publishing :2016. - xxii, 350 p. :ill., digital ;24 cm. - Operations research/computer science interfaces series,v.601387-666X ;. - Operations research/computer science interfaces series ;v.55..

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.

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.

ISBN: 9783319233505$q(electronic bk.)

Standard No.: 10.1007/978-3-319-23350-5doiSubjects--Topical Terms:

295855
Production scheduling
--Data processing.

LC Class. No.: TS157.5

Dewey Class. No.: 658.51

Metaheuristics for production systems
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245 0 0 $a Metaheuristics for production systems $h [electronic resource] / $c edited by El-Ghazali Talbi, Farouk Yalaoui, Lionel Amodeo.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2016.
300 $a xxii, 350 p. : $b ill., digital ; $c 24 cm.
490 1 $a Operations research/computer science interfaces series, $x 1387-666X ; $v v.60
505 0 $a 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.
520 $a 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.
650 0 $a Production scheduling $x Data processing. $3 295855
650 0 $a Production scheduling $x Mathematical models. $3 557586
650 1 4 $a Business and Management. $2 eflch $3 639169
650 2 4 $a Operations Management. $3 731073
650 2 4 $a Operation Research/Decision Theory. $3 585050
650 2 4 $a Operations Research, Management Science. $3 511451
700 1 $a Talbi, El-Ghazali. $3 737126
700 1 $a Yalaoui, Farouk. $3 737127
700 1 $a Amodeo, Lionel. $3 737128
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer eBooks
830 0 $a Operations research/computer science interfaces series ; $v v.55. $3 711081
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-23350-5
950 $a Business and Management (Springer-41169)