Skip to main content
Log in

A Decentralized Approach to Estimate Activity-Based Costs and Near-Optimal Resource Allocation in Flexible Manufacturing Systems

  • Published:
International Journal of Flexible Manufacturing Systems Aims and scope Submit manuscript

Abstract

Flexible manufacturing systems (FMSs) can apply the efficiencies of large-scale production to small batch production. The coordination of FMS activities is a complex task; this paper presents a decentralized pricing mechanism that can be used to estimate the activity–based costs and manage the activities of the FMS efficiently. The pricing mechanism described in this paper does not require systemwide information to compute prices; instead, the pricing mechanism samples and uses the demand information at each CNC machine to compute rental prices at that machine. We derive the theoretical formula for rental prices supporting the optimal performance and propose simulation studies to estimate the rental prices for real-time price changes in a decentralized manner. Results from a preliminary simulation study indicate that stable rental prices can be estimated and significant improvements can be realized by using the pricing mechanism.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  • Cinlar, E., "Superposition of Point Processes," in Stochastic Point Processes: Statistical Analysis, Theory and Applications, P. Lewis (Ed.), John Wiley and Sons, New York, pp. 549–606 (1972).

    Google Scholar 

  • Cooper, R., "The Rise of Activity-Based Cost Systems: Parts I–IV," Journal of Cost Management (Summer 1988, Fall 1988, Winter 1989, and Spring 1989).

  • Cooper, R. and Kaplan, R.S., "Activity-Based Systems: Measuring the Costs of Resource Usage," Accounting Horizons, pp. 1–13 (Sept. 1992).

  • Dallery,Y. and Frein, Y., "An Efficient Method to Determine the Optimal Configuration of a Flexible Manufacturing System," Annals of Operations Research, Vol. 15, pp. 207–225 (1988

    Google Scholar 

  • Debreu, G., The Theory of Value, Yale University Press, New Haven, CT (1959).

    Google Scholar 

  • Intriligator, M., "Mathematical Programming with Applications to Economics," in Handbook of Mathematical Economics, K. Arrow and M. Intriligator (Eds.), North-Holland, Vol. 2, Ch. 2 (1982).

  • Kimemia, J.G., and Gershwin, S.B., "Network Flow Optimization in Flexible Manufacturing Systems," Proceedings of the IEEE Conference on Decision and Control, pp. 633–639 (1979).

  • Kleinrock, L., Queueing Systems, John Wiley and Sons, New York, Vols. 1 and 2 (1975, 1976).

    Google Scholar 

  • Kobayashi, H. and Gerla, M., "Optimal Routing in Closed Queueing Networks, ACM Transactions on Computer Systems, Vol. 1, pp. 294–310 (1983).

    Google Scholar 

  • Ledyard, J.O., "The Design of Coordination Mechanisms and Organizational Computing," Journal of Organizational Computing, forthcoming (1997).

  • Lee, H.L. and Cohen, M.A., "Multi-Agent Customer Allocation in a Stochastic Service System," Management Science, Vol. 31, pp. 752–763 (1985).

    Google Scholar 

  • Loch, C., "Pricing in Markets Sensitive to Delay," Ph.D. dissertation, Stanford University (1991).

  • Merabet, A.A., "Dynamic Job Shop Scheduling: An Operating System Based Design," in Flexible Manufacturing Systems: Methods and Studies, Studies in Management Science and Systems, Andrew Kusiak (Ed.), North-Holland, pp. 257–270 (1986).

  • Naor, P., "On the Regulation of Queue Size by Levying Tolls," Econometrica, Vol. 37, pp. 15–24 (1969)

    Google Scholar 

  • Parasuraman, A., Berry, L.L., and Zeithaml, V.A., "Understanding Customer Expectation of Service," Sloan Management Review, pp. 39–48 (Spring 1991).

  • Pine, B.J., II, Victor, B., and Boynton, A.C., "Making Mass Customization Work," Harvard Business Review, pp. 108–119 (Sept.–Oct. 1993).

  • Schwetman, Herb, "CSIM User's Guide, Rev. 2," MCC Technical Report No. ACT-126-90, Austin, TX (July 1992).

    Google Scholar 

  • Shanthikumar, J.G. and Yao, D.D., "Optimal Server Allocation in a System of Multi-Server Stations," Management Science, Vol.33, pp. 1173–1180 (1987).

    Google Scholar 

  • Shanthikumar, J.G. and Yao, D.D., "On Server Allocation in Multiple Center Manufacturing Systems," Operations Research, Vol. 36, pp. 333–342 (1988).

    Google Scholar 

  • Shanthikumar, J.G. and Yao, D.D., "Optimal Buffer Allocation in a Multicell System," International Journal of Flexible Manufacturing Systems, Vol. 1, pp. 347–356 (1989).

    Google Scholar 

  • Stahl, D.O., "Stochastic Decentralization of Competitive Allocations," Economics Letters, Vol.22, No. 2, pp. 111–113 (1986).

    Google Scholar 

  • Stahl, D.O. and Whinston, A.B., "A General Equilibrium Model of Distributed Computing," in New Directions in Computational Economics, W.W. Cooper and A.B. Whinston (Eds.), Kluwer Academic Publishers, Boston, MA, pp. 175–189 (1994).

    Google Scholar 

  • Tetzlaff, U.A.W., "Optimal Design of Flexible Manufacturing Systems," in Contribution to Management Science, Physica-Verlag, Heidelberg, Germany (1990).

    Google Scholar 

  • Vinod, B. and Solberg, J.J., "The Optimal Design of Flexible Manufacturing Systems," International Journal of Production Research, Vol. 23, pp. 1141–1151 (1985).

    Google Scholar 

  • Yao, D.D. and Shanthikumar, J.G., "Some Resource Allocation Problems in Multi-Cell Systems," Proceedings of the Second ORSA/TIMS Conference on Flexible Manufacturing Systems: Operations Research Models and Applications, K.E. Stecke and R. Suri (Eds.), Elsevier Science Publishers B.V., Amsterdam, pp. 245–255 (1986).

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

About this article

Cite this article

Gupta, A., Stahl, D.O. & Whinston, A.B. A Decentralized Approach to Estimate Activity-Based Costs and Near-Optimal Resource Allocation in Flexible Manufacturing Systems. International Journal of Flexible Manufacturing Systems 9, 167–193 (1997). https://doi.org/10.1023/A:1007919802284

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1023/A:1007919802284

Navigation