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Models for Tightly-Coupled Production Systems

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Perspectives in Operations Management

Abstract

Shorter lead times and lower inventories have become major goals in the operation of contemporary manufacturing systems. In the past, inventories were used to decouple adjacent stages of production and to provide some autonomy to individual stages of the process. The longer lead times that resulted were not viewed as a disadvantage in traditional markets. Today, in the new paradigm for world-class manufacturing, such inventories prevent a firm from fulfilling its potential on response time, product quality, and indirect cost, thus diminishing competitiveness. As a consequence, there is much more concern now with removing inventories and operating tightly-coupled production systems.

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References

  • Anderson, D.R., and C.L. Moodie 1969. Optimal Buffer Storage Capacity in Production Line Systems. International Journal of Production Research 7, 233–240.

    Article  Google Scholar 

  • Baker, K.R., S.G. Powell and D.F. Pyke 1990a. The Performance of Push and Pull Systems: A Corrected Analysis. International Journal of Production Research 28, 1731–1736.

    Article  Google Scholar 

  • Baker, K.R., S.G. Powell and D.F. Pyke 1990b. Buffered and Unbuffered Assembly Systems with Variable Processing Times. Journal of Manufacturing and Operations Management 3, 200–223.

    Google Scholar 

  • Baker, K.R., S.G. Powell and D.F. Pyke 1990c. A Predictive Model for the Throughput of Unbuffered Three Station Serial Lines. Working Paper No. 257, Amos Tuck School of Business Administration, Hanover, NH.

    Google Scholar 

  • Baker, K.R., S.G. Powell and D.F. Pyke 1990d. Optimal Allocation of Work in Assembly Systems. Management Science (to appear).

    Google Scholar 

  • Basu, R.N. 1977. The Interstage Buffer Storage Capacity of Nonpowered Assembly Lines: A Simple Mathematical Approach, International Journal of Production Research 15, 365–385.

    Article  Google Scholar 

  • Buzacott, J.A. 1968. Prediction of the Efficiency of Production Systems without Internal Storage. International Journal of Production Research 6, 173–188.

    Article  Google Scholar 

  • Carnall, C. and R. Wild 1976. The Location of Variable Workstations and the Performance of Production Flow Lines. International Journal of Production Research 14,703–710.

    Article  Google Scholar 

  • Conway, R.W., W.L. Maxwell, J.O. McClain and L.J. Thomas 1988. The Role of Work-In-Process Inventory in Serial Production Lines. Operations Research 36, 229–241.

    Article  Google Scholar 

  • De Kok, A.G. 1990. Computationally Efficient Approximations for Balanced Flowlines with Finite Intermediate Buffers. International Journal of Production Research 28, 401–419.

    Article  Google Scholar 

  • El-Rayah, T.E. 1979a. The Efficiency of Balanced and Unbalanced Production Lines. International Journal of Production Research 17, 61–76.

    Article  Google Scholar 

  • El-Rayah, T.E. 1979b. The Effect of Inequality of Interstage Buffer Capacities and Operation Time Variability on the Efficiency of Production Line Systems. Internationaljournal of Production Research 17, 77–89.

    Article  Google Scholar 

  • Hendricks, K., D. Moodie and K. Williams 1988. The Effect on Throughput and Flowtime of the Configuration of a System of Identical Machines without Buffers. Working Paper 88-09, Johnson Graduate School of Management, Cornell University.

    Google Scholar 

  • Hillier, F. and R. Boling 1966. The Effect of Some Design Factors on the Efficiency of Production Lines with Variable Operation Times. Journal of Industrial Engineering 17, 651–658.

    Google Scholar 

  • Hillier, F. and R. Boling 1967. Finite Queues in Series with Exponential or Erlang Service Times: A Numerical Approach. Operations Research 15, 286–303.

    Article  Google Scholar 

  • Hillier, F. and R. Boling 1979. On the Optimal Allocation of Work in Symmetrically Unbalanced Production Line Systems with Variable Operation Times. Management Science 25, 721–728.

    Article  Google Scholar 

  • Hopp, W.J. and J.T. Simon 1989. Bounds and Heuristics for Assembly-like Queues. Queueing Systems 4, 137–156.

    Article  Google Scholar 

  • Hunt, G.C. 1956. Sequential Arrays of Waiting Lines. Operations Research 4, 674–683.

    Article  Google Scholar 

  • Knott, A.D. 1970. The Inefficiency of a Series of Work Stations: A Simple Formula. International Journal of Production Research 8, 109–119.

    Article  Google Scholar 

  • Lau, H.-S. 1986. A Directly-Coupled Two-Stage Unpaced Line. IIE Transactions 18, 304–312.

    Article  Google Scholar 

  • Liggett, T.M. 1975. Ergodic theorems for the asymmetric simple exclusion process. Transactions of the American Mathematical Society 213, 237–261.

    Article  Google Scholar 

  • Makino, T. 1964. On The Mean Passage Time Concerning Some Queueing Problems of the Tandem Type. Journal of the Operations Research Society of Japan 7, 17–47.

    Google Scholar 

  • Magazine, M.J. and G.L. Silver 1978. Heuristics for Determining Output and Work Allocations in Series Flow Lines. International Journal of Production Research 16, 169–181.

    Article  Google Scholar 

  • Mishra, A., D. Acharya, N.P. Rao and G.P. Sastry 1985. Composite State Effects In Unbalancing of Series Production Systems. International Journal of Production Research 23, 1–20.

    Article  Google Scholar 

  • Muth, E.J. 1973. The Production Rate of a Series of Work Stations with Variable Service Times. International Journal of Production Research 11, 155–169.

    Article  Google Scholar 

  • Muth, E.J. 1977. Numerical Methods Applicable to a Production Line with Stochastic Servers. Algorithmic Methods in Probability, M.F. Neuts (ed.), Studies in the Management Sciences, 7, 143–159.

    Google Scholar 

  • Muth, E.J. 1979. The Reversibility Property of Production Lines. Management Science 25, 152–158.

    Article  Google Scholar 

  • Muth, E.J. 1984. Stochastic Processes and their Network Representations Associated with a Production Line Queueing Model. European Journal of Operational Research 15, 63–83.

    Article  Google Scholar 

  • Muth, E.J. 1987. An Update on Analytical Models of Serial Transfer Lines. Research Report No. 87-15, Department of Industrial and Systems Engineering, University of Florida, Gainesville.

    Google Scholar 

  • Muth, E. J. and A. Alkaff 1987a. The Bowl Phenomenon Revisited. International Journal of Production Research 25, 161–173.

    Article  Google Scholar 

  • Muth, E. J. and A. Alkaff 1987b. The Throughput Rate of Three-Station Production Lines: A Unifying Solution. International Journal of Production Research 25, 1405–1413.

    Article  Google Scholar 

  • Panwalkar, S.S. and M.L. Smith 1979. A Predictive Equation for Average Output of K Stage Series Systems with Finite Interstage Queues. AIIE Transactions 11,136–139.

    Article  Google Scholar 

  • Rao, N.P. 1975a. On the Mean Production Rate of a Two-stage Production System of the Tandem Type. International Journal of Production Research 13, 207–217.

    Article  Google Scholar 

  • Rao, N.P. 1975b. Two Stage Production Systems with Internal Storage. AIIE Transactions 7, 414–421.

    Article  Google Scholar 

  • Rao, N.P. 1976a. A Generalization of the Bowl Phenomenon in Series Production Systems. International Journal of Production Research 14, 437.

    Article  Google Scholar 

  • Rao, N.P. 1976b. A Viable Alternative to the Method of Stages Solution of Series Production Systems with Erlang Service Times. International Journal of Production Research 14, 699–702.

    Article  Google Scholar 

  • So, K.C. 1989. On the Efficiency of Unbalancing Production Lines. International Journal of Production Research 27, 717–729.

    Article  Google Scholar 

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Author information

Authors and Affiliations

  1. Amos Tuck School of Business Administration, Dartmouth College, Hanover, NH, USA

    Kenneth R. Baker

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  1. Kenneth R. Baker
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Editor information

Editors and Affiliations

  1. Anderson Graduate School of Management, UCLA, Los Angeles, California, USA

    Rakesh K. Sarin (Paine Professor of Management) (Paine Professor of Management)

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© 1993 Springer Science+Business Media New York

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Baker, K.R. (1993). Models for Tightly-Coupled Production Systems. In: Sarin, R.K. (eds) Perspectives in Operations Management. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-3166-1_17

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  • DOI: https://doi.org/10.1007/978-1-4615-3166-1_17

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4613-6387-3

  • Online ISBN: 978-1-4615-3166-1

  • eBook Packages: Springer Book Archive

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