A strategic investment model for phased implementation of flexible manufacturing systems

This paper describes a set of strategic, tactical, and operational models that can be used to analyze the phased implementation of flexible technology in a manufacturing system. The strategic model represents capital investment decisions, the tactical model represents aggregate production decisions, and the operational model represents the functional form of the production costs. Learning effects and other nonlinearities (such as setup costs, economies of scale, and congestion effects) can be quantified in the models. An efficient solution procedure (using dynamic programming and minimum cost network flow optimization) is described. The efficiency of the solution method permits a host of ‘what-if’ scenarios to be examined by the decision maker.

[1]  Suresh P. Sethi,et al.  Flexibility in manufacturing: A survey , 1990 .

[2]  A. Atmani A production planning model for flexible manufacturing systems with setup cost consideration , 1995 .

[3]  Uday S. Karmarkar,et al.  Lot Sizes, Lead Times and In-Process Inventories , 1987 .

[4]  Mihkel M. Tombak,et al.  A strategic analysis of flexible manufacturing systems , 1990 .

[5]  Mario T. Tabucanon,et al.  A multiple-criteria approach to machine selection for flexible manufacturing systems , 1994 .

[6]  Heinrich Kuhn,et al.  Flexible Manufacturing Systems: Decision Support for Design and Operation , 1993 .

[7]  Stephen F. Weber A Modified Analytic Hierarchy Process for Automated Manufacturing Decisions , 1993 .

[8]  Timothy L. Smunt,et al.  A Multilevel Decision Support System for the Financial Justification of Automated Flexible Manufacturing Systems , 1987 .

[9]  Cheryl Gaimon,et al.  The Optimal Acquisition of Automation to Enhance the Productivity of Labor , 1985 .

[10]  L. Röller,et al.  Competition and Investment in Flexible Technologies , 1993 .

[11]  J. A. Buzacott,et al.  Flexible manufacturing systems: a review of analytical models , 1986 .

[12]  Kathryn E. Stecke,et al.  A Hierarchical approach to solving machine grouping and loading problems of flexible manufacturing systems , 1986 .

[13]  Sven Axsäter,et al.  Disaggregation under Uncertainty in Hierarchical Production Planning , 1988 .

[14]  Abraham Seidmann,et al.  Optimizing Processing Rates for Flexible Manufacturing Systems , 1991 .

[15]  Toshiyuki Sueyoshi,et al.  A unified framework for the selection of a Flexible Manufacturing System , 1995 .

[16]  J. W. Troxler,et al.  A comprehensive methodology for manufacturing system evaluation and comparison , 1989 .

[17]  Werner Bruggeman,et al.  Investment Justification of Flexible Manufacturing Technologies: Inferences from Field Research , 1992 .

[18]  Jan Paulli,et al.  A hierarchical approach for the FMS scheduling problem , 1995 .

[19]  Arnoldo C. Hax,et al.  Hierarchical integration of production planning and scheduling , 1973 .

[20]  N. Raman,et al.  FMS planning decisions, operating flexibilities, and system performance , 1995 .

[21]  M. Kakati,et al.  Investment justification in flexible manufacturing systems , 1991 .

[22]  Timothy L. Smunt,et al.  Optimal Acquisition of Automated Flexible Manufacturing Processes , 1989, Oper. Res..

[23]  Rajan Suri,et al.  Modelling flexible manufacturing systems using mean-value analysis , 1984 .

[24]  Roger N. Wabalickis Justification of FMS with the analytic hierarchy process , 1988 .

[25]  Ulrich A. W. Tetzlaff,et al.  Optimal design of flexible manufacturing systems , 1990 .

[26]  Arnoldo C. Hax,et al.  Hierarchical Production Planning Systems. , 1977 .

[27]  John R. Canada,et al.  Past and Present Methods of Manufacturing Investment Evaluation: A Review of the Empirical and Theoretical Literature , 1992 .

[28]  S. Graves Using Lagrangean Techniques to Solve Hierarchical Production Planning Problems , 1982 .