Design of Advanced Manufacturing Systems

Models for Capacity Planning in Advanced Manufacturing Systems

  • Andrea Matta
  • Quirico Semeraro

Table of contents

  1. Front Matter
    Pages i-xvi
  2. A. Matta, Q. Semeraro, T. Tolio
    Pages 1-35
  3. M. Bruccoleri, G. Lo Nigro, S. La Noto Diega, P. Renna, G. Perrone
    Pages 37-71
  4. A. Alfieri, P. Brandimarte
    Pages 73-124
  5. A. Matta, Q. Semeraro, T. Tolio
    Pages 125-189
  6. A. Anglani, P. Caricato, A. Grieco, F. Nucci
    Pages 191-231
  7. F. Caiazzo, R. Pasquino, V. Sergi, B. Spiezio
    Pages 233-267

About this book


Since manufacturing has acquired industrial relevance, the problem of adequately sizing manufacturing plants has always been discussed and has represented a di?cult problem for the enterprises, which prepare strategic plans to competitively operate in the market. Manufact- ing capacity is quite expensive and its exploitation and planning must be carefully designed in order to avoid large wastes, or to preserve the survival of enterprises in the market. Indeed a good choice of ma- facturing capacity can result in improved performance in terms of cost, innovativeness, ?exibility, quality and service delivery. Unfortunately the capacity planning problem is not easy to solve because of the lack of clarity in the decisional process, the large number of variables involved, the high correlation among variables and the high level of uncertainty that inevitably a?ects decisions. The aim of this book is to provide a framework and speci?c methods and tools for the selection and con?guration of capacity of Advanced Manufacturing Systems (AMS). In particular this book de?nes an - chitecture where the multidisciplinary aspects of the designofAMSare properly organized and addressed. The tool will support the decisi- maker in the de?nition of the con?guration of the system which is best suited for the particular competitive context where the ?rm operates or wants tooperate. Thisbookisofinterest for academic researchers in the ?eldofind- trial engineering and particularly indicated in the areas of operations and manufacturing strategy.


Fuzzy Operations Research Simulation algorithm algorithms architecture environment fuzzy set linear optimization manufacturing engineering model optimization planning production programming

Editors and affiliations

  • Andrea Matta
    • 1
  • Quirico Semeraro
    • 1
  1. 1.Politecnico di MilanoMilanItaly

Bibliographic information

  • DOI
  • Copyright Information Springer 2005
  • Publisher Name Springer, Dordrecht
  • eBook Packages Engineering
  • Print ISBN 978-1-4020-2930-1
  • Online ISBN 978-1-4020-2931-8
  • Buy this book on publisher's site