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Customized pull systems for single-product flow lines

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Author Info
Gaury, E.G.A.
Kleijnen, J.P.C.
Pierreval, H. (Tilburg University, Center for Economic Research)

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

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

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C0 - Mathematical and Quantitative Methods - - General

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Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
  1. 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. [Downloadable!] (restricted)
  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. [Downloadable!] (restricted)
  3. Kleijnen, J.P.C., 1997. "Experimental design for sensitivity analysis, optimization, and validation of simulation models," Discussion Paper 52, Tilburg University, Center for Economic Research. [Downloadable!]
  4. 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. [Downloadable!] (restricted)
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  1. Luis Vildosola, 2002. "Circular Variable Work In Process," Macroeconomics 0203004, EconWPA. [Downloadable!]
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