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Computer Simulation for Mixed-Model Production Lines

Author

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  • J. L. C. Macaskill

    (University of Adelaide, Australia)

Abstract

This paper presents results of research into computer simulation of a mixed-model assembly line. The problem to be solved is described and the mathematical model of the line is presented. Algorithms that provide acceptable sequences of product models in various conditions are given, and results of simulator experiments are analysed and discussed. In the final section of the paper conclusions are drawn from the results of the work, and the general usefulness of simulation for assembly work is considered.

Suggested Citation

  • J. L. C. Macaskill, 1973. "Computer Simulation for Mixed-Model Production Lines," Management Science, INFORMS, vol. 20(3), pages 341-348, November.
    • Handle: RePEc:inm:ormnsc:v:20:y:1973:i:3:p:341-348
    DOI: 10.1287/mnsc.20.3.341
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    Cited by:

    1. Giard, Vincent & Jeunet, Jully, 2010. "Optimal sequencing of mixed models with sequence-dependent setups and utility workers on an assembly line," International Journal of Production Economics, Elsevier, vol. 123(2), pages 290-300, February.
    2. Xiaobo Zhao & Jianyong Liu & Katsuhisa Ohno & Shigenori Kotani, 2007. "Modeling and analysis of a mixed‐model assembly line with stochastic operation times," Naval Research Logistics (NRL), John Wiley & Sons, vol. 54(6), pages 681-691, September.
    3. Boysen, Nils & Fliedner, Malte & Scholl, Armin, 2009. "Sequencing mixed-model assembly lines: Survey, classification and model critique," European Journal of Operational Research, Elsevier, vol. 192(2), pages 349-373, January.
    4. F. Tanhaie & M. Rabbani & N. Manavizadeh, 2020. "Applying available-to-promise (ATP) concept in mixed-model assembly line sequencing problems in a Make-To-Order (MTO) environment: problem extension, model formulation and Lagrangian relaxation algori," OPSEARCH, Springer;Operational Research Society of India, vol. 57(2), pages 320-346, June.

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