INTERACTION BETWEEN DISPATCHING AND NEXT STATION SELECTION-RULES IN A DEDICATED FLEXIBLE MANUFACTURING SYSTEM

被引:26
作者
OKEEFE, RM
KASIRAJAN, T
机构
[1] Department of Decision Sciences and Engineering Systems, Rensselaer Polytechnic Institute, Troy, NY
关键词
Dispatching rules - FMS - Next station selection rules - Software package RENSAM;
D O I
10.1080/00207549208948120
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The interaction between nine dispatching and four next station selection rules in a relatively large dedicated FMS is investigated. The FMS contains 16 workstations with local buffers, nine load/unload stations, and produces six different part types. A simulation model is used, and analysed as a steady-state model. Flowtime is taken as the main criterion. It is found that WINQ (select the station whose input buffer contains the smallest amount of work) dominates, performing significantly better than the other next station selection rules considered across all dispatching rules, with few significant differences between dispatching rules when combined with WINQ. SIO/TOT (select the job with the smallest ratio obtained by dividing the processing time of the imminent operation by the total processing time for the part) performs marginally better than the other dispatching rules, particularly SIO (select the job with the shortest imminent processing time). Reasons for when a next station selection rule is more important than a dispatching rule, and vice versa, are discussed.
引用
收藏
页码:1753 / 1772
页数:20
相关论文
共 18 条
[1]  
Blackstone J.H., Phillips D.T., Hogg G.L., A state-of-the-art survey of dispatching rules for manufacturing job shop operations, International Journal of Production Research, 20, 1, pp. 27-45, (1982)
[2]  
Carrie A., Simulation of Manufacturing Systems, (1988)
[3]  
Choi R.H., Malstrom E.M., Evaluation of traditional work scheduling rules in a flexible manufacturing system with a physical simulator, Journal of Manufacturing Systems, 7, 1, pp. 33-46, (1988)
[4]  
Davies R.M., O'Keefe R.M., Simulation Modelling with Pascal, (1989)
[5]  
Edghill J.S., Davies A., Flexible Manufacturing Systems—the myth and reality, International Journal of Advanced Manufacturing Technology, 1, 3, pp. 37-54, (1986)
[6]  
Foley W.J., Jain S., Haddock J., Using simulation generators for modeling Flexible Manufacturing Systems, Progress in Simulation, (1990)
[7]  
Elmaraghy H.A., Simulation and graphical animation of advanced manufacturing systems, Journal of Manufacturing Systems, 1, 1, pp. 53-63, (1982)
[8]  
Jaikumar R., Van Wassenhove L.N., A production planning framework for flexible manufacturing systems, Journal of Manufacturing and Operations Management, 2, 1, pp. 52-79, (1989)
[9]  
Law A.M., Kelton D., Simulation Modeling and Analysis, (1982)
[10]  
Lee E.J., Mirchandani P.B., Concurrent routing, sequencing and setupts for a two- machine Flexible Manufacturing Cell, IEEE Journal of Robotics and Automation, 4, 3, pp. 256-264, (1987)