Design Of Advanced Manufacturing Systems

by Matta, Andrea; Semeraro, Quirico

• ISBN13: 9781402029301
• ISBN10: 1402029306
• Format: Hardcover
• Copyright: 2005-07-30
• Publisher: Kluwer Academic Pub

Summary

This book presents a framework and specific methods and tools for the selection and configuration of the capacity of Advanced Manufacturing Systems (AMS).AMS include Flexible Manufacturing Systems, Dedicated Manufacturing Systems, and Reconfigurable Manufacturing Systems. Starting from the characteristic of the competitive environment, the directions given by the company strategy, data regarding the products, and information regarding the different system architectures, the decision support system described here aids the decision maker by means of a formalized methodology that follows the various steps required to define the type and timing of 'capacity' acquisition and to define the detailed configuration of AMS along its life cycle.The decision making framework and tools illustrated in this volume combine decision-making theory, optimization theory, discrete event simulation and queuing networks. It will be of interest to graduate students and researchers involved in manufacturing engineering, industrial engineering and operations research.

Table of Contents

List of Figures	vii
List of Tables	xii
Preface	xiii
Contributing Authors	xv
1 A framework for long term capacity decisions in AMSs	1	(36)
A. Matta, Q. Semeraro, T. Tolio
1 Introduction	1	(2)
2 Manufacturing capacity	3	(2)
3 Manufacturing strategy	5	(5)
4 Advanced Manufacturing Systems	10	(3)
5 A framework for capacity problems	13	(24)
2 A DSS for strategic planning.	37	(36)
M. Bruccoleri, G. Lo Nigro, S. Noto La Diega, P. Renna, G. Perrone
1 The strategic planning process	40	(4)
2 Models for Production Strategy Planning	44	(5)
3 Models for Long-term Capacity Planning	49	(6)
4 DSS description	55	(3)
5 Tests and results	58	(9)
6 Conclusions	67	(6)
3 Stochastic programming models for manufacturing applications	73	(52)
A. Alfieri, P. Brandimarte
1 Introduction	73	(2)
2 The newsvendor problem	75	(3)
3 Stochastic linear programming	78	(8)
4 General structure of two-stage stochastic linear programs	86	(2)
5 Solution methods	88	(3)
6 Multi-stage stochastic programming models	91	(7)
7 Strong mixed-integer model formulations	98	(5)
8 Scenario generation	103	(8)
9 Models for capacity planning	111	(5)
10 An alternative approach to cope with uncertainty: robust optimization	116	(3)
11 Conclusions	119	(6)
4 Configuration of AMSs	125	(66)
A. Matta, Q. Semeraro, T. Tolio
1 Introduction	125	(1)
2 Problem description	126	(3)
3 Description of Automated Manufacturing Systems	129	(7)
4 Design of Automated Manufacturing Systems	136	(9)
5 Performance evaluation of Dedicated Manufacturing Flow Lines	145	(12)
6 Performance evaluation of Flexible Manufacturing Systems	157	(16)
7 Conclusions	173	(18)
5 Selecting capacity plan	191	(42)
A. Anglani, P. Caricato, A. Grieco, F. Nucci
1 Introduction	192	(1)
2 Problem statement	193	(7)
3 The proposed methodology	200	(20)
4 Case study	220	(10)
5 Conclusions	230	(3)
6 Fuzzy performance evaluator of AMSs	233
F. Caiazzo, R. Pasquino, V. Sergi, B. Spiezio
1 Introduction	233	(2)
2 Fuzzy sets and fuzzy numbers	235	(7)
3 Describing uncertainty	242	(1)
4 Linguistic modifiers	243	(4)
5 Constructing fuzzy sets	247	(2)
6 Queuing systems	249	(3)
7 Open queuing network models	252	(1)
8 Closed queuing network models	253	(5)
9 The method proposed: single-class case	258	(2)
10 The method proposed: multi-class case	260	(1)
11 The algorithm for the method proposed: single-class case	261	(3)
12 A sample application	264	(1)
13 Conclusions	265