MULTI-CRITERIA DECISION MAKING FOR REVERSE LOGISTIC CONTRACTOR SELECTION IN E-WASTE RECYCLING INDUSTRY USING POLYTOMOUS RASCH MODEL
DOI:
https://doi.org/10.11113/jt.v77.6906Keywords:
Reverse supply chain, reverse logistic, third party logistic, rasch model, e-waste, decision makingAbstract
E-waste recycling is a growing sector in the reverse supply chain and the main purpose of recycling is to recover precious materials making these recycling activities economically interesting. To increase vibrancy of this activity, third party logistic (3PLs) are used to carry out most of the logistic functions that contribute to the competitive advantages. Thus, this study attempts to ascertain the attributes that influence the selection and evaluation of 3PLs the most. Survey based approach were carried out on experts from recycling companies in Malaysia via questionnaire, the results were evaluated using rasch model analysis for evaluating and prioritizing the attributes according to the scores. Previous studies have proposed their multiple dimensions and criterias for selection on 3PLs with different types of industries and methods. The criterias play a vital role in the selection of the best on 3PLs . There are 10 criterias with 38 sub-items were identified and constructed used in screening the best reverse logistic contractor. The results shows that organisation role attribute is the most critical attributes that must be considered. The results of this study are usefull in focusing on several vital attributes for selecting the best 3PLs provider that can intensify total firm performance.
References
Wenzhi, H., Guangming, L., Xingfa M., Hua, W., Juwen, H., Min, X. and Chunjie, H. 2006. WEEE Recovery Strategies and The WEEE Treatment Status in China. Journal of Hazardous Materials. 136: 502–512.
Li, R. C. and Tee, T. J. C. 2012. A Reverse Logistics Model For Recovery Options of E-Waste Considering The Integration of The Formal and Informal Waste Sectors. Procedia-Social And Behavioral Sciences. 40: 788–816.
Kleindorfer, P., Singhal, K. And Van Wassenhovel. 2005. Sustainable Operations Management. Production and Operations Management. 14(4): 482-492.
Rahman, S. and Subramanian, N. 2012. Factors For Implementing End-Of-Life Computer Recycling Operations in Reverse Supply Chains. International Journal of Production Economics. 140(1): 239–248.
Rogers, D. S. and Tibben-Lembke, R. S. 2001. An Examination of Reverse Logistics Practices. Journal of Business Logistics. 22(2): 129–148.
Savaskan, R. C. and Bhattacharya, S and Van WassenhoveL. N. 2004. Channel Choice and Coordination In A Remanufacturing Environment. Management Sci. 50(2) : 239–252.
Khor, K. S. and Udin, Z. M. 2013. Reverse Logistics in Malaysia: Investigating The Effect Of Green Product Design and Resource Commitment. Resources, Conservation And Recycling. 81: 71–80.
Senthil, S., Srirangacharyulu, B. and Ramesh, A. 2014. A Robust Hybrid Multi-Criteria Decision Making Methodology For Contractor Evaluation And Selection In Third-Party Reverse Logistics. Expert Systems With Applications. 41(1): 50–58.
Du, F. and Evans, G.W. 2008A Bi-Objective Reverse Logistics Network Analysis for Post Sale Service. Comput Oper Res. 35(8): 2617–34.
Das, K. and Chowdhury, A. H. 2012. Designing A Reverse Logistics Network for Optimal Collection, Recovery and Quality-Based Product-Mix Planning. International Journal of Production Economics. 135(1): 209–221.
Guide, V. and Van Wassenhove, L. 2002. The Reverse Supply Chain: Smart Manufacturers Are Designing Efficient Processes For Reusing Their Products. Harvard Business Review. 25-26.
Meade, L. and Sarkis, J. 2002. A Conceptual Model for Selecting and Evaluating Third-Party Reverse Logistics Providers. Supply Chain Management, An International Journal. 7(5): 283–295.
Zacharia, Z.G., Sanders, N.R. and Nix, N.W. 2011. The Emerging Role Of The Third-Party Logistics Provider (3PL) As An Orchestrator. Journal of Business Logistics. 32(1): 40–54.
Shaharudin, M. R. and Zailani, S. and Ismail, M. 2014. Third Party Logistics Orchestrator Role in Reverse Logistics and Closed-Loop Supply Chains. International. J. Logistics Systems and Management. 18(2): 200–215.
Govindan, K., Palaniappan, M., Zhu, Q. and Kannan, D. 2012. Analysis of Third Party Reverse Logistics Provider Using Interpretive Structural Modeling. International Journal Of Production Economics. 140(1): 204–211.
Murray, A. G. And Mills B. F. 2012. An Application of Dichotomous and Polytomous Rasch Models for Scoring Energy Insecurity. Energy Policy. 51: 946–956.
Kannan, G. 2009. Fuzzy Approach For The Selection of Third Party Reverse Logistics Provider. Asia Pacific Journal of Marketing and Logistics. 21(3): 397–416.
Kendel, F., Wirtz, M., Dunkel, A., Lehmkuhl, E.,Hetzer, R. and Regitz-Zagrosek, V. 2010. Screening for Depression: Rasch Analysis Of The Dimensional Structure of The PHQ-9 and The HADS-D. J. Affect. Disord. 122: 241–246.
Downloads
Published
Issue
Section
License
Copyright of articles that appear in Jurnal Teknologi belongs exclusively to Penerbit Universiti Teknologi Malaysia (Penerbit UTM Press). This copyright covers the rights to reproduce the article, including reprints, electronic reproductions, or any other reproductions of similar nature.
