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An Experimental Investigation and Comparative Evaluation of Production Line Balancing Techniques

Author

Listed:
  • Anthony A. Mastor

    (On-Line Decisions, Inc., Los Angeles)

Abstract

Although computationally feasible optimizing algorithms for solving the production line balancing problem have not been found, a number of computational techniques have been devised and used to obtain solutions which are not necessarily optimal solutions but are hoped to be good solutions. In the study the most prominent of these techniques are examined and compared by applying them to a sample of production line balancing problems. The maximum output rate attained for a specified line length is used as the measure of effectiveness and the computing time required to make line balancing calculations for a specified output rate is used as the measure of cost. The central results of the study show that there are significant differences among the effectiveness results achieved by the line balancing techniques. Although the differences are not large, there are few changes in the relative effectiveness of the computing techniques over the range of line lengths, partial ordering strengths, and problem sizes that were investigated. For the larger problems the computing time differences are significant and in some instances are a more important consideration in the relative evaluation of the computing techniques than are the effectiveness results.

Suggested Citation

  • Anthony A. Mastor, 1970. "An Experimental Investigation and Comparative Evaluation of Production Line Balancing Techniques," Management Science, INFORMS, vol. 16(11), pages 728-746, July.
  • Handle: RePEc:inm:ormnsc:v:16:y:1970:i:11:p:728-746
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    File URL: http://dx.doi.org/10.1287/mnsc.16.11.728
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    Cited by:

    1. De Reyck, Bert & Herroelen, Willy, 1999. "The multi-mode resource-constrained project scheduling problem with generalized precedence relations," European Journal of Operational Research, Elsevier, vol. 119(2), pages 538-556, December.
    2. Rubinovitz, J. & Levitin, G., 1995. "Genetic algorithm for assembly line balancing," International Journal of Production Economics, Elsevier, vol. 41(1-3), pages 343-354, October.
    3. Amen, Matthias, 2001. "Heuristic methods for cost-oriented assembly line balancing: A comparison on solution quality and computing time," International Journal of Production Economics, Elsevier, vol. 69(3), pages 255-264, February.
    4. Kenneth H. Doerr & Theodore D. Klastorin & Michael J. Magazine, 2000. "Synchronous Unpaced Flow Lines with Worker Differences and Overtime Cost," Management Science, INFORMS, vol. 46(3), pages 421-435, March.
    5. Vanhoucke, Mario & Coelho, Jose & Debels, Dieter & Maenhout, Broos & Tavares, Luis V., 2008. "An evaluation of the adequacy of project network generators with systematically sampled networks," European Journal of Operational Research, Elsevier, vol. 187(2), pages 511-524, June.
    6. Messelis, Tommy & De Causmaecker, Patrick, 2014. "An automatic algorithm selection approach for the multi-mode resource-constrained project scheduling problem," European Journal of Operational Research, Elsevier, vol. 233(3), pages 511-528.
    7. Vanhoucke, Mario, 2010. "Using activity sensitivity and network topology information to monitor project time performance," Omega, Elsevier, vol. 38(5), pages 359-370, October.
    8. Klindworth, Hanne & Otto, Christian & Scholl, Armin, 2012. "On a learning precedence graph concept for the automotive industry," European Journal of Operational Research, Elsevier, vol. 217(2), pages 259-269.
    9. De Reyck, Bert & Herroelen, willy, 1998. "A branch-and-bound procedure for the resource-constrained project scheduling problem with generalized precedence relations," European Journal of Operational Research, Elsevier, vol. 111(1), pages 152-174, November.
    10. Fatih Ugurdag, H. & Rachamadugu, Ram & Papachristou, Christos A., 1997. "Designing paced assembly lines with fixed number of stations," European Journal of Operational Research, Elsevier, vol. 102(3), pages 488-501, November.
    11. Van Peteghem, Vincent & Vanhoucke, Mario, 2014. "An experimental investigation of metaheuristics for the multi-mode resource-constrained project scheduling problem on new dataset instances," European Journal of Operational Research, Elsevier, vol. 235(1), pages 62-72.
    12. Aase, Gerald R. & Olson, John R. & Schniederjans, Marc J., 2004. "U-shaped assembly line layouts and their impact on labor productivity: An experimental study," European Journal of Operational Research, Elsevier, vol. 156(3), pages 698-711, August.
    13. Mario Vanhoucke & Erik Demeulemeester & Willy Herroelen, 2001. "On Maximizing the Net Present Value of a Project Under Renewable Resource Constraints," Management Science, INFORMS, vol. 47(8), pages 1113-1121, August.
    14. Roemer, Thomas A. & Ahmadi, Reza, 2010. "Models for concurrent product and process design," European Journal of Operational Research, Elsevier, vol. 203(3), pages 601-613, June.
    15. Van de Vonder, Stijn & Demeulemeester, Erik & Herroelen, Willy & Leus, Roel, 2005. "The use of buffers in project management: The trade-off between stability and makespan," International Journal of Production Economics, Elsevier, vol. 97(2), pages 227-240, August.
    16. Vanhoucke, Mario & Demeulemeester, Erik & Herroelen, Willy, 2003. "Progress payments in project scheduling problems," European Journal of Operational Research, Elsevier, vol. 148(3), pages 604-620, August.
    17. Otto, Alena & Otto, Christian & Scholl, Armin, 2013. "Systematic data generation and test design for solution algorithms on the example of SALBPGen for assembly line balancing," European Journal of Operational Research, Elsevier, vol. 228(1), pages 33-45.
    18. repec:gam:jsusta:v:9:y:2017:i:10:p:1811-:d:114386 is not listed on IDEAS
    19. Kolisch, Rainer & Sprecher, Arno & Drexl, Andreas, 1992. "Characterization and generation of a general class of resource-constrained project scheduling problems: Easy and hard instances," Manuskripte aus den Instituten für Betriebswirtschaftslehre der Universität Kiel 301, Christian-Albrechts-Universität zu Kiel, Institut für Betriebswirtschaftslehre.
    20. Sprecher, Arno, 2000. "SALBLIB: Challenging instances for assembly line balancing," Manuskripte aus den Instituten für Betriebswirtschaftslehre der Universität Kiel 526, Christian-Albrechts-Universität zu Kiel, Institut für Betriebswirtschaftslehre.
    21. Amen, Matthias, 2006. "Cost-oriented assembly line balancing: Model formulations, solution difficulty, upper and lower bounds," European Journal of Operational Research, Elsevier, vol. 168(3), pages 747-770, February.

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