
Number of Journals | 34 |
Number of Issues | 1,306 |
Number of Articles | 9,428 |
Article View | 9,191,885 |
PDF Download | 5,622,552 |
Integrated Model QFD, FMEA and Fuzzy AHP Approach to Improve Logistics Outsourcing Decision | ||
مدیریت زنجیره تأمین | ||
Article 7, Volume 14, Issue 38, August 2020, Pages 4-11 PDF (355.2 K) | ||
Receive Date: 11 December 2012, Revise Date: 20 January 2013, Accept Date: 27 January 2013 | ||
Abstract | ||
In this paper, for evaluating and optimal selecting of third-party logistics providers, an integrated approach is proposed that combined QFD, FMEA and Fuzzy AHP techniques. In this approach, proportional to outsourcing company stakeholders’ requirements, evaluation factors are introduced by using of quality houses. The importance level of each stakeholders in decision-making process, weighted relationships of each evaluation factors in proposed approach, are calculated by using of Fuzzy AHP and finally the FMEA approach is used for analyzing likely risks that affect the performance of supply chain. Proposed approach in comparison to other developed approaches, not only consider the voice of outsourcing company’sstakeholdersin decision-making process, but also analyze the risks for perform the logistic outsourcing process in the best manner. In order to prove efficiency, proposed approach is used for a foodstuffs manufacturer company in a case study research. | ||
Keywords | ||
Logistics outsourcing; Selection; QFD; AHP; Fuzzy; FMEA | ||
References | ||
[1] Razzaque, M.A. and C.C. Sheng, "Outsourcing of logistics functions: a literature survey". International Journal of Physical Distribution & Logistics Management. 28(2): p. 89-107, 1998. [2] Liu, H.T. and W.K. Wang, "An integrated fuzzy approach for providerevaluation and selection in third-party logistics". Expert Systems with Applications. 36(3): p. 4387-4398, 2009. [3] Ho, W., P.K. Dey, and M. Lockström, "Strategic sourcing: a combined QFD and AHP approach in manufacturing". Supply Chain Management: An International Journal. 16(6): p. 446-461, 2011. [4] Ho, W., X. Xu, and P.K. Dey, "Multi-criteria decision making approaches for supplier evaluation and selection: A literature review". European Journal of Operational Research. 202(1): p. 16-24, 2010. [5] Meade, L. and J. Sarkis, "A conceptual model for selecting and evaluating third-party reverse logistics providers". Supply Chain Management: An International Journal. 7(5): p. 283-295, 2002. [6] Bottani, E. and A. Rizzi, "A fuzzy TOPSIS methodology to support outsourcing of logistics services". Supply Chain Management: An International Journal. 11(4): p. 294-308, 2006. [7] Işıklar, G., E. Alptekin, and G. Büyüközkan, "Application of a hybrid intelligent decision support model in logistics outsourcing". Computers & operations research. 34(12): p. 3701-3714, 2007. [8] Efendigil, T., S. Önüt, and E. Kongar, "A holistic approach for selecting a third-party reverse logistics provider in the presence of vagueness". Computers & industrial engineering. 54(2): p. 269-287, 2008. [9] Zhou, G., et al., "Evaluating the comparative efficiency of Chinese third-party logistics providers using data envelopment analysis". International Journal of Physical Distribution & Logistics Management. 38(4): p. 262-279, 2008. [10] Kwong, C. and H. Bai, "A fuzzy AHP approach to the determination of importance weights of customer requirements in quality function deployment". Journal of intelligent manufacturing. 13(5): p. 367-377, 2002. [11] Pillay, A. and J. Wang, "Modified failure mode and effects analysis using approximate reasoning". Reliability Engineering & System Safety. 79(1): p. 69-85, 2003. | ||
Statistics Article View: 817 PDF Download: 337 |