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Customized Pull Systems for Single-Product Flow Lines

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  • Gaury, E.G.A.
  • Kleijnen, J.P.C.
  • Pierreval, H.

    (Tilburg University, Center for Economic Research)

Abstract

Traditionally pull production systems are managed through classic control systems such as Kanban, Conwip, or Base stock, but this paper proposes ‘customized’ pull control. Customization means that a given production line is managed through a pull control system that in principle connects each stage of that line with each preceding stage; optimization of the corresponding simulation model, however, shows which of these potential control loops are actually implemented. This novel approach may result in one of the classic systems, but it may also be another type: (1) the total line may be decomposed into several segments, each with its own classic control system (e.g., segment 1 with Kanban, segment 2 with Conwip); (2) the total line or segments may combine different classic systems; (3) the line may be controlled through a new type of system. These different pull systems are found when applying the new approach to a set of twelve production lines. These lines are configured through the application of a statistical (Plackett-Burman) design with ten factors that characterize production lines (such as line length, demand variability, and machine breakdowns).

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Bibliographic Info

Paper provided by Tilburg University, Center for Economic Research in its series Discussion Paper with number 1998-117.

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Date of creation: 1998
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Handle: RePEc:dgr:kubcen:1998117

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Web page: http://center.uvt.nl

Related research

Keywords: Pull production / inventory; sampling; optimization; evolutionary algorithm;

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References

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  1. Savsar, Mehmet & Al-Jawini, Abdullah, 1995. "Simulation analysis of just-in-time production systems," International Journal of Production Economics, Elsevier, vol. 42(1), pages 67-78, November.
  2. Olhager, Jan & Ostlund, Bjorn, 1990. "An integrated push-pull manufacturing strategy," European Journal of Operational Research, Elsevier, vol. 45(2-3), pages 135-142, April.
  3. Meral, Sedef & Erkip, Nesim, 1991. "Simulation analysis of a JIT production line," International Journal of Production Economics, Elsevier, vol. 24(1-2), pages 147-156, November.
  4. Price, Wilson & Gravel, Marc & Nsakanda, Aaron Luntala, 1994. "A review of optimisation models of Kanban-based production systems," European Journal of Operational Research, Elsevier, vol. 75(1), pages 1-12, May.
  5. Gaury, E.G.A. & Pierreval, H. & Kleijnen, J.P.C., 1998. "New species of hybrid pull systems," Discussion Paper 1998-31, Tilburg University, Center for Economic Research.
  6. Kleijnen, J.P.C., 1997. "Experimental Design for Sensitivity Analysis, Optimization and Validation of Simulation Models," Discussion Paper 1997-52, Tilburg University, Center for Economic Research.
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Cited by:
  1. Luis Vildosola, 2002. "Circular Variable Work In Process," Macroeconomics 0203004, EconWPA.

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