Design Of Advanced Manufacturing Systems: Models For Capacity

Description:
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 List of Tables Preface Contributing Authors; 1: A framework for long term capacity decisions in AMSs; A. Matta, Q. Semeraro, T. Tolio 1 Introduction 2 Manufacturing capacity3 Manufacturing strategy4 Advanced Manufacturing Systems5 A framework for capacity problems; 2: A DSS for strategic planning; M. Bruccoleri, G. Lo Nigro, S. Noto La Diega, P. Retina, C. Perrone1 The strategic planning process 2 Models for Production Strategy Planning 3 Models for Long-term Capacity Planning 4 DSS description5 Tests and results6 Conclusions; 3: Stochastic programming models for manufacturing applications; A. Alfieri, P. Brandimarte1 Introduction 2 The newsvendor problem 3 Stochastic linear programming4 General structure of two-stage stochastic linear programs 5 Solution methods6 Multi-stage stochastic programming models 7 Strong mixed-integer model formulations 8 Scenario generation 9 Models for capacity planning10 An alternative approach to cope with uncertainty: robust optimization 11 Conclusions; 4: Configuration of AMSs; A. Matta. Q. Semeraro. T. Tolio 1 Introduction 2 Problem description 3 Description of Automated Manufacturing Systems 4 Design of Automated Manufacturing Systems 5 Performance evaluation of Dedicated Manufacturing Flow Lines 6 Performance evaluation of Flexible Manufacturing Systems 7 Conclusions; 5: Selecting capacity plan; A. Anglani, P. Caricato, A. Grieco, F. Nucci 1 Introduction 2 Problem statement3 The proposed methodology 4 Case study 5 Conclusions; 6: Fuzzy performance evaluator of AMSs; F. Caiazzo, R. Pasquino, V. Sergi, B. Spiezio 1 Introduction 2 Fuzzy sets arid fuzzy numbers 3 Describing uncertainty 4 Linguistic modifiers 5 Constructing fuzzy sets 6 Queuing systems 7 Open queuing network models8 Closed queuing network models 9 The method proposed: single-class case 10 The method proposed: multi-class case 11 The algorithm for the method proposed: single-class case 12 A sample application 13 Conclusions