DESCRIBING PROCESSING TIME WHEN SIMULATING JIT ENVIRONMENTS

被引：33

作者：

MURALIDHAR, K

SWENSETH, SR

WILSON, RL

机构：

[1] Department of Management, University of Nebraska-Lincoln, Lincoln, NE

[2] Decision Sciences and Information Systems, Florida International University, Miami, FL

[3] Department of Management, Oklahoma State University, Stillwater, OK

来源：

INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH | 1992年 / 30卷 / 01期

关键词：

D O I：

10.1080/00207549208942874

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

The purpose of this study is to determine if the selection of the distribution used to describe processing times in JIT simulations will affect the simulation results. Three distributions that closely adhere to the requirements for describing processing times in the JIT environment are identified, namely the truncated normal, the gamma, and the log-normal distributions. The results indicate that no significant difference in performance could be attributed to the choice of the distribution, i.e. as long as the distribution selected fits closely with the requirements for describing processing times in the JIT environment, the results of the simulation study will not be affected. The gamma distribution is recommended since it specifically meets the requirements for describing processing times in the JIT environment and is computationally efficient.

引用

页码：1 / 11

页数：11

共 22 条

[1]

Buhoin T.A., The gamma distribution and inventory control, Operational Research Quarterly, 23, 3, pp. 507-525, (1975)

[2]

Cadley J.A., Heintz H.E., Allocco L.V., Insights from simulating JIT manufacturing, Interfaces, 19, 2, pp. 88-97, (1989)

[3]

Ebrahimpour M., Fathi B., Dynamic simulation of a Kanban production inventory system, International Journal of Operations and Production Management, 5, 1, pp. 5-14, (1985)

[4]

Fallon D., Browne J., Simulating just-in-time systems, International Journal of Operations and Production Management, 8, 6, pp. 30-45, (1988)

[5]

Gravel M.L., Price W.L., Using the Kanban in a job shop environment, International Journal of Production Research, 26, 6, pp. 1105-1118, (1988)

[6]

Gupta Y.P., Gupta M.C., A system dynamics model for a multi-stage multi-line dual-card JIT-kanban system, International Journal of Production Research, 27, 2, pp. 309-352, (1989)

[7]

Hillier F.S., Boling R.W., On the optimal allocation of work in symmetrically unbalanced production line systems with variable operation times, Management Science, 25, 8, pp. 721-728, (1979)

[8]

Huang P.Y., Rees L.P., Taylor Iii B.W., A simulation of the Japanese just-in-time technique (With kanbans) for a multiline, multistage production system, Decision Sciences, 14, 3, pp. 326-344, (1983)

[9]

(1987)

[10]

Johnson N.L., Kotz S., Continuous Univariate Distributions-1, (1970)

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