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Main Data
Author: George Liberopoulos, Chrissoleon T. Papadopoulos, Baris Tan, J. M. Smith, Stanley B. Gershwin
Editor: George Liberopoulos, Chrissoleon T. Papadopoulos, Bar Tan, James MacGregor Smith, Stanley B. Gersh
Title: Stochastic Modeling of Manufacturing Systems Advances in Design, Performance Evaluation, and Control Issues
Publisher: Springer-Verlag
ISBN/ISSN: 9783540290575
Edition: 1
Price: CHF 142,80
Publication date: 01/01/2005
Content
Category: Wirtschaft/Management
Language: English
Technical Data
Pages: 363
Kopierschutz: DRM
Geräte: PC/MAC/eReader/Tablet
Formate: PDF
Table of contents

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.

Table of contents
Editorial  Stochastic Modeling of Manufacturing Systems: Advances in Design, Performance Evaluation, and Control Issues5
Contents9
Section I: Factory Design11
Dilemmas in factory design: paradox and paradigm12
Section II: Unreliable Production Lines35
Lean buffering in serial production lines with non- exponential machines36
Analysis of flow lines with Cox- 2- distributed processing times and limited buffer capacity61
Performance evaluation of production lines with finite buffer capacity producing two different products83
Automated flow lines with shared buffer104
Integrated quality and quantity modeling of a production line126
Stochastic cyclic flow lines with blocking: Markovian models154
Section III: Queueing Network Models of Manufacturing Systems172
Performance analysis of multi-server tandem queues with finite buffers and blocking173
An analytical method for the performance evaluation of echelon kanban control systems197
Closed loop two-echelon repairable item systems227
A heuristic to control integrated multi-product multi- machine production- inventory systems with job shop routings and stochastic arrival, set-up and processing times257
Performance analysis of parallel identical machines with a generalized shortest queue arrival mechanism293
A review and comparison of hybrid and pull- type production control strategies310
Section IV: Stochastic Production Planning and Assembly333
Planning order releases for an assembly system with random operation times334
A multiperiod stochastic production planning and sourcing problem with service level constraints346