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IOBPCS based models and decoupling thinking

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  • Wikner, Joakim
  • Naim, Mohamed M.
  • Spiegler, Virginia L.M.
  • Lin, Junyi

Abstract

The inventory and order based production control system (IOBPCS) is mainly a model of a forecast driven production system where the production decision is based on the forecast in combination with the deviation between target inventory and actual inventory. The model has been extended in various directions by including e.g. WIP feedback but also by interpreting the inventory as an order book and hence representing a customer order driven system. In practice a system usually consists of one forecast driven subsystem in tandem with a customer order driven subsystem and the interface between the two subsystems is represented by information flows and a stock point associated with the customer order decoupling point (CODP). The CODP may be positioned late in the flow, as in make to stock systems, or early, as in make to order systems, but in any case the model should be able to capture the properties of both subsystems in combination. A challenge in separating forecast driven from customer order driven is that neither the inventory nor the order book should be allowed to take on negative values, and hence non-linearities are introduced making the model more difficult to solve analytically unless the model is first linearized. In summary the model presented here is based on two derivatives of IOBPCS that are in tandem, and interfaces between them related to where the demand information flow is decoupled and the position of the CODP.

Suggested Citation

  • Wikner, Joakim & Naim, Mohamed M. & Spiegler, Virginia L.M. & Lin, Junyi, 2017. "IOBPCS based models and decoupling thinking," International Journal of Production Economics, Elsevier, vol. 194(C), pages 153-166.
    • Handle: RePEc:eee:proeco:v:194:y:2017:i:c:p:153-166
    DOI: 10.1016/j.ijpe.2017.05.009
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    1. Soman, C.A. & van Donk, D.P. & Gaalman, G.J.C., 2007. "Capacitated planning and scheduling for combined make-to-order and make-to-stock production in the food industry: An illustrative case study," International Journal of Production Economics, Elsevier, vol. 108(1-2), pages 191-199, July.
    2. Dudek, Gregor & Stadtler, Hartmut, 2005. "Negotiation-based collaborative planning between supply chains partners," European Journal of Operational Research, Elsevier, vol. 163(3), pages 668-687, June.
    3. Brian Denton & Diwakar Gupta & Keith Jawahir, 2003. "Managing Increasing Product Variety at Integrated Steel Mills," Interfaces, INFORMS, vol. 33(2), pages 41-53, April.
    4. van Donk, Dirk Pieter, 2001. "Make to stock or make to order: The decoupling point in the food processing industries," International Journal of Production Economics, Elsevier, vol. 69(3), pages 297-306, February.
    5. V.L.M. Spiegler & A.T. Potter & M.M. Naim & D.R. Towill, 2016. "The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain," International Journal of Production Research, Taylor & Francis Journals, vol. 54(1), pages 265-286, January.
    6. Sun, X.Y. & Ji, P. & Sun, L.Y. & Wang, Y.L., 2008. "Positioning multiple decoupling points in a supply network," International Journal of Production Economics, Elsevier, vol. 113(2), pages 943-956, June.
    7. Soman, Chetan Anil & van Donk, Dirk Pieter & Gaalman, Gerard, 2004. "Combined make-to-order and make-to-stock in a food production system," International Journal of Production Economics, Elsevier, vol. 90(2), pages 223-235, July.
    8. Ben Naylor, J. & Naim, Mohamed M & Berry, Danny, 1999. "Leagility: Integrating the lean and agile manufacturing paradigms in the total supply chain," International Journal of Production Economics, Elsevier, vol. 62(1-2), pages 107-118, May.
    9. Disney, S. M. & Towill, D. R., 2003. "On the bullwhip and inventory variance produced by an ordering policy," Omega, Elsevier, vol. 31(3), pages 157-167, June.
    10. Sharda, Bikram & Akiya, Naoko, 2012. "Selecting make-to-stock and postponement policies for different products in a chemical plant: A case study using discrete event simulation," International Journal of Production Economics, Elsevier, vol. 136(1), pages 161-171.
    11. Scott Carr & Izak Duenyas, 2000. "Optimal Admission Control and Sequencing in a Make-to-Stock/Make-to-Order Production System," Operations Research, INFORMS, vol. 48(5), pages 709-720, October.
    12. Dejonckheere, J. & Disney, S. M. & Lambrecht, M. R. & Towill, D. R., 2003. "Measuring and avoiding the bullwhip effect: A control theoretic approach," European Journal of Operational Research, Elsevier, vol. 147(3), pages 567-590, June.
    13. Gupta, Diwakar & Weerawat, Waressara, 2006. "Supplier-manufacturer coordination in capacitated two-stage supply chains," European Journal of Operational Research, Elsevier, vol. 175(1), pages 67-89, November.
    14. Kerkkanen, Annastiina, 2007. "Determining semi-finished products to be stocked when changing the MTS-MTO policy: Case of a steel mill," International Journal of Production Economics, Elsevier, vol. 108(1-2), pages 111-118, July.
    15. Disney, S. M. & Towill, D. R. & van de Velde, W., 2004. "Variance amplification and the golden ratio in production and inventory control," International Journal of Production Economics, Elsevier, vol. 90(3), pages 295-309, August.
    16. Wikner, J. & Towill, D. R. & Naim, M., 1991. "Smoothing supply chain dynamics," International Journal of Production Economics, Elsevier, vol. 22(3), pages 231-248, December.
    17. Gunasekaran, A. & Patel, C. & McGaughey, Ronald E., 2004. "A framework for supply chain performance measurement," International Journal of Production Economics, Elsevier, vol. 87(3), pages 333-347, February.
    18. Grunwald, Herbert J. & Fortuin, Leonard, 1992. "Many steps towards zero inventory," European Journal of Operational Research, Elsevier, vol. 59(3), pages 359-369, June.
    19. Hau L. Lee & Christopher S. Tang, 1997. "Modelling the Costs and Benefits of Delayed Product Differentiation," Management Science, INFORMS, vol. 43(1), pages 40-53, January.
    20. S. Rajagopalan, 2002. "Make to Order or Make to Stock: Model and Application," Management Science, INFORMS, vol. 48(2), pages 241-256, February.
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    Cited by:

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    3. Lina Tang & Taho Yang & Yiliu Tu & Yizhong Ma, 2021. "Supply chain information sharing under consideration of bullwhip effect and system robustness," Flexible Services and Manufacturing Journal, Springer, vol. 33(2), pages 337-380, June.
    4. Lin, Junyi & Naim, Mohamed M. & Spiegler, Virginia L.M., 2020. "Delivery time dynamics in an assemble-to-order inventory and order based production control system," International Journal of Production Economics, Elsevier, vol. 223(C).
    5. Youbin KANG, 2021. "The rise, demise and replacement of the Bangladesh experiment in transnational labour regulation," International Labour Review, International Labour Organization, vol. 160(3), pages 407-430, September.
    6. Lin, Junyi & Huang, Hongfu & Li, Shanshan & Naim, Mohamed M., 2023. "On the dynamics of order pipeline inventory in a nonlinear order-up-to system," International Journal of Production Economics, Elsevier, vol. 266(C).
    7. Huthaifa AL-Khazraji & Colin Cole & William Guo, 2021. "Optimization and Simulation of Dynamic Performance of Production–Inventory Systems with Multivariable Controls," Mathematics, MDPI, vol. 9(5), pages 1-13, March.

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    Keywords

    IOBPCS; CODP; System dynamics;
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