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Recursion Models for Describing and Managing the Transient Flow of Materials in Generalized Flowlines

Author

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  • S. Saboo

    (Department of Industrial and Systems Engineering, Ohio State University, Columbus, Ohio 43210-1271)

  • L. Wang

    (Department of Industrial and Systems Engineering, Ohio State University, Columbus, Ohio 43210-1271)

  • W. E. Wilhelm

    (Department of Industrial and Systems Engineering, Ohio State University, Columbus, Ohio 43210-1271)

Abstract

This paper describes new algorithms for estimating the transient performance of generalized flowlines in which completed products undergo test and rework until quality standards are met. The recursion approach is extended to incorporate features found in actual systems including (a) small-lot production, (b) priority release of kits, (c) lot sequencing (dispatching) at stations, (d) parallel machines at a station, (e) generalized flowline routing, and (f) test/rework cycles. Accuracy of the modeling approach is investigated and test scenarios demonstrate application of the model as an aid in evaluating certain management policies that affect material flow. A number of tests are based on an actual industrial setting involving the small-lot assembly of circuit cards (i.e., printed circuit boards).

Suggested Citation

  • S. Saboo & L. Wang & W. E. Wilhelm, 1989. "Recursion Models for Describing and Managing the Transient Flow of Materials in Generalized Flowlines," Management Science, INFORMS, vol. 35(6), pages 722-742, June.
  • Handle: RePEc:inm:ormnsc:v:35:y:1989:i:6:p:722-742
    DOI: 10.1287/mnsc.35.6.722
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    Citations

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    Cited by:

    1. Gong, Dijin & Yamazaki, Genji & Gen, Mitsuo & Xu, Weixuan, 1999. "A genetic algorithm method for one-dimensional machine location problems," International Journal of Production Economics, Elsevier, vol. 60(1), pages 337-342, April.
    2. Hulett, Maria & Damodaran, Purushothaman, 2011. "Analytical approximations to predict performance measures of markovian type manufacturing systems with job failures and parallel processing," European Journal of Operational Research, Elsevier, vol. 212(1), pages 89-99, July.
    3. Papadopoulos, H. T. & Heavey, C., 1996. "Queueing theory in manufacturing systems analysis and design: A classification of models for production and transfer lines," European Journal of Operational Research, Elsevier, vol. 92(1), pages 1-27, July.
    4. Damodaran, Purushothaman & Hulett, Maria, 2012. "Analytical approximations to predict performance measures of manufacturing systems with general distributions, job failures and parallel processing," European Journal of Operational Research, Elsevier, vol. 221(1), pages 74-86.
    5. Tito Homem-de-Mello & Alexander Shapiro & Mark L. Spearman, 1999. "Finding Optimal Material Release Times Using Simulation-Based Optimization," Management Science, INFORMS, vol. 45(1), pages 86-102, January.
    6. Subba Rao, S. & Gunasekaran, A. & Goyal, S. K. & Martikainen, T., 1998. "Waiting line model applications in manufacturing," International Journal of Production Economics, Elsevier, vol. 54(1), pages 1-28, January.
    7. Sarker, Bhaba R. & Wilhelm, Wilbert E. & Hogg, Gary L. & Han, Min-Hong, 1995. "Backtracking of jobs in one-dimensional machine location problems," European Journal of Operational Research, Elsevier, vol. 85(3), pages 593-609, September.

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