Stochastic Modeling of Manufacturing Systems

George Liberopoulos, Chrissoleon T. Papadopoulos, Baris Tan, J. MacGregor Smith - Collection Advances in Design, Performance Evaluation, and Control Issues

362 pages, parution le 01/09/2005

Ajouter à une liste

Indisponible

Résumé

Manufacturing systems rarely perform exactly as expected and predicted. Unexpected events, such as order changes, equipment failures and product defects, affect the performance of the system and complicate decision-making. This volume is devoted to the development of analytical methods aiming at responding to variability in a way that limits its corrupting effects on system performance. The book includes fifteen novel chapters that mostly focus on the development and analysis of performance evaluation models of manufacturing systems using decomposition-based methods, Markovian and queuing analysis, simulation, and inventory control approaches. They are organized into four distinct sections to reflect their shared viewpoints: factory design, unreliable production lines, queuing network models, production planning and assembly.

Sommaire

Factory Design
Unreliable Production Lines
Queuing Network Models of Manufacturing Systems
Stochastic Production Planning and Assembly

Voir tout

Replier

Caractéristiques techniques

	PAPIER
Éditeur(s)	Springer
Auteur(s)	George Liberopoulos, Chrissoleon T. Papadopoulos, Baris Tan, J. MacGregor Smith
Collection	Advances in Design, Performance Evaluation, and Control Issues
Parution	01/09/2005
Nb. de pages	362
Format	16 x 24
Couverture	Relié
Poids	679g
Intérieur	Noir et Blanc
EAN13	9783540265795