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Design of Advanced Manufacturing Systems: Models for Capacity Planning in Advanced Manufacturing Sys


Design of Advanced Manufacturing Systems: Models for Capacity Planning in Advanced Manufacturing Sys
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  • 10339727


Beschreibung

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

Eigenschaften

Gewicht: 606 g
Höhe: 232
Seiten: 267
Sprachen: Englisch
Autor: Andrea Matta, Quirico Semeraro

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