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Abstract

We examine the phenomenon of shifting production bottlenecks from an analytic perspective. We quantify the propensity of a work center to be a bottleneck, defined as maximal queue length, using a simple Jackson production network model. Comparison of the analytic model against an empirical simulation‐based model shows that the two are in good agreement. A scalar measure of bottleneck shiftiness is proposed and used to investigate several policies for mitigating shiftiness. Simulation experiments show that several commonly observed managerial policies for coping with shifting bottlenecks actually increase shiftiness, but that shiftiness declines when the capacity of nonbottleneck resources is increased.

Keywords

CAPACITY BOTTLENECKS UTILIZATION QUEUEING NETWORKS

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References

Adams

Balas

, and Zawack

(1988), “The Shifting Bottleneck Procedure for Job Shop Scheduling,” Management Science, 34, 3, 391–401.

Billington

P. J.

McClain

J. O.

, and Thomas

L. J.

(1986), “Heuristics for Multilevel Lot‐Sizing with a Bottleneck,” Management Science, 32, 8, 989–1006.

Bitran

G. R.

and Tirupati

(1988), “Multiproduct Queueing Networks with Deterministic Routing: Decomposition Approach and the Notion of Interference,” Management Science, 34, 1, 75–100.

Bitran

G. R.

and Tirupati

(1989), “Tradeoff Curves, Targeting and Balancing in Manufacturing Queueing Networks,” Operations Research, 37, 4, 547–564.

Buzacott

J. A.

and Shanthikumar

J. G.

(1993), Stochastic Models of Manufacturing Systems, Prentice‐Hall, Englewood Cliffs, NJ.

Chang

Matsuo

, and Sullivan

R. S.

(1989), “A Bottleneck‐Based Beam Search for Job Scheduling in a Flexible Manufacturing System,” InternationalJournal of Production Research, 27, 11, 1949–1961.

Disney

R. L.

and Kiessler

P. C.

(1987), Traffic Processes in Queueing Networks: A Markov Renewal Approach, The Johns Hopkins Press, Baltimore, MD.

Glassey

C. R.

, and Petrakian

R. G.

(1989), “The Use of Bottleneck Starvation Avoidance with Queue Predictions in Shop Floor Control” in Proceedings of the 1989 Winter Simulation Conference, MacNair

E. A.

Musselman

K. J.

, and Heidelberger

(eds.), The Society for Computer Simulation, San Diego, CA, 908–917.

Goldratt

E. M.

(1991), Theory of Constraints, North River Press, Croton‐on‐Hudson, NY.

10.

Goldratt

E. M.

and Cox

(1984), The Goal: Excellence in Manufacturing, North River Press, Croton‐on‐Hudson, NY.

11.

Gross

and Harris

C. M.

(1985), Fundamentals of Queueing Theory, Second Edition, John Wiley and Sons, New York.

12.

Harvard Business School (1989), Donner Company, #9–689‐030, Harvard University, Boston, MA.

13.

Jackson

J. R.

(1957), “Networks of Waiting Lines,” Operations Research, 5, 4, 518–521.

14.

Kleinrock

, 1976, Queueing Systems Volume 2: Computer Applications, John Wiley and Sons, New York.

15.

Lawrence

S. R.

and Buss

A. H.

(1991), Economic Analysis of Production Bottlenecks, Working Paper, John M. Olin School of Business, Washington University, St. Louis, MO.

16.

Lozinski

and Glassey

C. R.

(1988), “Bottleneck Starvation Indicators for Shop Floor Control,” IEEE Transactions on Semiconductor Manufacturing, 1, 4, 147–153.

17.

Schmenner

R. W.

(1990), Production/Operations Management, MacMillan Publishing Co., New York.

18.

Shanthikumar

J. G.

and Sumita

(1988), “Approximations for the Time Spent in a Dynamic Job Shop with Applications to Due‐Date Assignment,” International Journal of Production Research, 26, 8, 1329–1352.

19.

Umble

M. M.

and Srikanth

M. L.

(1990), Synchronous Manufacturing: Principles for World Class Excellence, South‐Western Publishing, Cincinnati, OH.

SHIFTING PRODUCTION BOTTLENECKS: CAUSES,CURES,AND CONUNDRUMS

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