Title: Fuzzy analytic hierarchy process-based decision tree in identifying priority attributes for supply chain coordination
Authors: Mithun J. Sharma; Song Jin Yu
Addresses: Centre for Management Studies, Dibrugarh University, Dibrugarh – 786004, India ' Department of Shipping Management, Korea Maritime University, Busan – 606791, South Korea
Abstract: It is seen that conflicting objectives and lack of coordination between supply chain members may often cause uncertainties in supply and demand. Coordination may help in managing inter dependencies and reducing uncertainties. This paper develops a decision tree-based fuzzy analytic hierarchy process (FAHP) to support decision-making for priority evaluation of attributes responsible for supply chain coordination. To deal with the uncertain judgement of decision-makers, a decision tree-based fuzzy modification of analytic hierarchy process (AHP) method is applied to derive consistent or inconsistent fuzzy judgement matrix. It demonstrates that proposed prioritisation method can be utilised to identify critical factors that improve coordination and streamline the supply chain.
Keywords: decision tree; fuzzy AHP; supply chain coordination; FAHP; analytical hierarchy process; priority attributes; supply chain management; SCM; decision making; priority evaluation; fuzzy logic; uncertainty.
International Journal of Logistics Systems and Management, 2014 Vol.17 No.1, pp.46 - 65
Published online: 30 Oct 2013 *Full-text access for editors Access for subscribers Purchase this article Comment on this article