Skip to main content

IOBPCS based models and decoupling thinking

Wikner, J., Naim, M.M., Spiegler, V.L.M., Lin, J. (2017) IOBPCS based models and decoupling thinking. International Journal of Production Economics, 194 . pp. 153-166. ISSN 0925-5273. (doi:10.1016/j.ijpe.2017.05.009) (KAR id:61712)

PDF Author's Accepted Manuscript
Language: English

Download (855kB) Preview
[thumbnail of IOBPCS and Decoupling thinking%2C Ver 3....pdf]
This file may not be suitable for users of assistive technology.
Request an accessible format
PDF Author's Accepted Manuscript
Language: English

Restricted to Repository staff only

Contact us about this Publication
[thumbnail of IOBPCS and Decoupling thinking, Ver 3....pdf]
Official URL


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.

Item Type: Article
DOI/Identification number: 10.1016/j.ijpe.2017.05.009
Divisions: Divisions > Kent Business School - Division > Kent Business School (do not use)
Divisions > Kent Business School - Division > Centre for Logistics and Heuristic Optimisation (do not use)
Depositing User: Virginia Spiegler
Date Deposited: 14 May 2017 14:01 UTC
Last Modified: 16 Feb 2021 13:45 UTC
Resource URI: (The current URI for this page, for reference purposes)
Spiegler, V.L.M.:
  • Depositors only (login required):


Downloads per month over past year