A multi-objective production planning model in a flexible manufacturing environment

Production planning for flexible manufacturing systems (FMS) has been studied using different methods, including simulation; queueing networks; and several single-objective mathematical programming techniques. The decision making process for production planning in FMS usually involves multiple conflicting objectives. Thus, goal programming (GP) can be effectively applied to this decision problem. This study discusses the superior aspects of the GP model over other models, when solving the production planning problem for FMS. A GP model is presented and the implementation results of an illustrative problem are analysed.

[1]  Cynthia K. Whitney Control Principles in Flexible Manufacturing , 1984, 1984 American Control Conference.

[2]  T.C.E. Cheng Simulation of flexible manufacturing systems , 1985 .

[3]  Kathryn E. Stecke,et al.  Formulation and Solution of Nonlinear Integer Production Planning Problems for Flexible Manufacturing Systems , 1983 .

[4]  Jr. Mikell P. Groover Automation, production systems, and computer-aided manufacturing , 1980 .

[5]  Kathryn E. Stecke,et al.  The Optimality of Unbalancing Both Workloads and Machine Group Sizes in Closed Queueing Networks of Multiserver Queues , 1985, Oper. Res..

[6]  James R. Wilson,et al.  Using SLAM to design the material handling system of a flexible manufacturing system , 1986 .

[7]  J. G. Shanthikumar,et al.  Heuristic analysis of closed queueing networks , 1983 .

[8]  Kathryn E. Stecke,et al.  Loading and control policies for a flexible manufacturing system , 1981 .

[9]  G. D. Crite,et al.  PATHSIM, a modular simulator for an automatic tool handling system evaluation in FMS , 1985 .

[10]  Thomas L. Morin,et al.  The optimality of balancing workloads in certain types of flexible manufacturing systems , 1985 .

[11]  E. Adhami,et al.  Introducing a flexible manufacturing system , 1984 .

[12]  J. A. Buzacott,et al.  Models of flexible manufacturing systems with limited local buffers , 1986 .

[13]  Randall P. Sadowski,et al.  A mixed integer program for loading and scheduling multiple flexible manufacturing cells , 1986 .

[14]  Didier Dubois,et al.  A mathematical model of a flexible manufacturing system with limited in-process inventory , 1983 .

[15]  Mark A. Vonderembse,et al.  Steps for implementing a flexible manufacturing system , 1987 .

[16]  Didier Dubois,et al.  Heuristic methods based on mean-value analysis for flexible manufacturing systems performance evaluation , 1982, 1982 21st IEEE Conference on Decision and Control.

[17]  J. A. Buzacott,et al.  The exponentialization approach to flexible manufacturing system models with general processing times , 1986 .

[18]  Catherine Dupont-Gatelmand A survey of flexible manufacturing systems , 1982 .

[19]  W. Eversheim,et al.  Recent trends in flexible automated manufacturing , 1982 .

[20]  Ramarathnam Ravichandran,et al.  Decision support in flexible manufacturing systems using timed Petri nets , 1986 .

[21]  J. A. Buzacott,et al.  Modelling the performance of flexible manufacturing systems , 1985 .

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