Title: A novel DEANP method for customer order decoupling point positioning in a supply chain

Authors: Masoud Rabbani; Helia Yusefnejad

Addresses: School of Industrial and System Engineering, College of Engineering, University of Tehran, Iran ' School of Industrial and System Engineering, College of Engineering, University of Tehran, Iran

Abstract: This article deals with one of the most vital strategic decisions in supply chain design, in terms of manufacturing context. The issue of finding the best position of customer order decoupling point (CODP) in a production line has been taken into consideration by many researchers in recent years, but locating CODP along a supply chain has not yet been completely investigated. Here, a novel combined DEANP method is presented to tackle the problem of positioning CODP in a supply chain. Then in order to prove the applicability of the proposed structure in a real case, the model is implemented in a food processing supply chain.

Keywords: supply chain management; SCM; hybrid manufacturing systems; MTS; make to stock; MTO; make to order; customer order decoupling point; CODP; analytical network process; ANP; data envelopment analysis; DEA; decoupling point positioning; supply chain design; food processing supply chains.

DOI: 10.1504/IJISE.2016.075202

International Journal of Industrial and Systems Engineering, 2016 Vol.22 No.4, pp.393 - 408

Received: 30 Dec 2013
Accepted: 03 Jul 2014
Published online: 08 Mar 2016 *

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