Abstract
This paper deals with the development of a microcomputer-based simulation model of a random flexible manufacturing system aimed at solving scheduling problems. The model is written in SLAM II and can be used interactively. It offers five alternative scheduling rules, but other rules could be incorporated if required. The selection process is demonstrated through an example, and an experimental design is conducted to evaluate the effect of changes in the levels of various resources on system performance.
This is a preview of subscription content, log in via an institution to check access.
Similar content being viewed by others
References
K. E. Stecke, “Design, planning, scheduling and control problems of flexible manufacturing systems”,Proceedings of the First ORSA/TIMS Special Interest Conference on FMS: Operations Research Models and Applications, Ann Arbor, Mich., 15–17 August 1984. pp. 1–7.
T. E. Morton and T. L. Smunt, “A planning and scheduling system for flexible manufacturing” in: A. Kusiak (ed.),Flexible Manufacturing Systems: Methods and Studies, North-Holland, New York, 1986.
G. K. Hutchinson and B. E. Wynne, “A flexible manufacturing system”,Industrial Engineering,5(12), pp. 10–17, December 1973.
K. L. Hitz, “Scheduling of flexible flow shops”, report no. LIDS-R-879, Laboratory for Information and Decision Systems, MIT, Cambridge, Mass., 1979.
K. E. Stecke and J. J. Solberg, “Loading and control policies for a flexible manufacturing system”,International Journal of Production Research,19(5), pp. 481–490, 1981.
K. E. Stecke, “Formulation and solution of nonlinear integer production planning problems for flexible manufacturing systems”Management Science,29(3), pp. 273–288, 1983.
A. S. Carrie and A. C. Petsopoulas, “Operations sequencing in an FMS”Robotica,3(4), pp. 259–264, 1985.
S. Y. Nof, A. B. Whinston and W. I. Bullers, “Control and decision support in automatic manufacturing systems”,IIE Transactions,12(2), pp. 156–169, 1980.
G. Finke and A. Kusiak, “Network approach to modelling flexible manufacturing modules and cells”,Revue Française d'Automatique, de la Informatique et de Recherche Operationelle (RAIRO APII),12(4), pp. 359–370, 1985.
H. El Maraghy, “Simulation and graphical animation of advanced manufacturing systems”,Journal of Manufacturing Systems,1(1), pp. 53–63, 1982.
P. O'Gorman, J. Gibbons and J. Browne, “Evaluation of scheduling systems for a flexible transfer line using a simulation model” in: A. Kusiak (ed.),Flexible Manufacturing Systems: Methods and Studies, North-Holland, New York, 1986.
J. Talavage and R. G. Hannam,Flexible Manufacturing Systems in Practice: Applications, Design, and Simulation, Marcel Dekker, New York, 1988.
A. Kusiak, “Artificial intelligence and operations research in flexible manufacturing systems”,Information Systems and Operations Research INFOR,25(1), pp. 2–12, 1987.
A. A. B. Pritsker,Introduction to Simulation and SLAM II, Systems Publishing Corporation, West Lafayette, Ind., 1984.
E. J. Dudewicz and S. R. Dalal, “Allocation of measurements in ranking and selection with unequal variances”,Sankhya,B37, pp. 28–78, 1975.
A. M. Law and W. D. Kelton,Simulation Modeling and Analysis, McGraw-Hill, New York, 1982.
Y. Chang, R. E. Sullivan and J. R. Wilson, “Using SLAM to design the material handling system of a flexible manufacturing system”International Journal of Production Research,24(1), pp. 15–26, 1986.
Author information
Authors and Affiliations
Rights and permissions
About this article
Cite this article
Ravi, T., Lashkari, R.S. & Dutta, S.P. Selection of scheduling rules in FMSs—A simulation approach. Int J Adv Manuf Technol 6, 246–262 (1991). https://doi.org/10.1007/BF02601797
Accepted:
Issue Date:
DOI: https://doi.org/10.1007/BF02601797