A novel multiple criteria decision-making approach based on fuzzy DEMATEL, fuzzy ANP and fuzzy AHP for mapping collection and distribution centers in reverse logistics

被引:30
作者
Ocampo, L. A. [1 ]
Himang, C. M. [2 ]
Kumar, A. [3 ]
Brezocnik, M. [4 ]
机构
[1] Cebu Technol Univ, Dept Ind Engn, Cebu, Philippines
[2] Cebu Technol Univ, Grad Sch, Cebu, Philippines
[3] Univ Derby, Ctr Supply Chain Improvement, Derby, England
[4] Univ Maribor, Fac Mech Engn, Intelligent Mfg Syst Lab, Maribor, Slovenia
来源
ADVANCES IN PRODUCTION ENGINEERING & MANAGEMENT | 2019年 / 14卷 / 03期
关键词
Reverse logistics; Collection; Distribution; Fuzzy environment; Remanufacturing; Multiple criteria decision-making (MCDM); Decision-making and trial evaluation laboratory (DEMATEL); Analytic network process (ANP); Analytic hierarchy process (AHP); LOOP SUPPLY CHAIN; NETWORK DESIGN; LOCATION SELECTION; FACILITY LOCATION; HIERARCHY PROCESS; MANAGEMENT; TECHNOLOGY; PROVIDER; INDUSTRY; TOPSIS;
D O I
10.14743/apem2019.3.329
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The strategic location of reverse logistics facilities enables organizations to obtain optimal performance to collect end-of-line (EOL) products and distribute remanufactured products effectively and efficiently. The planning of facility location entails consideration of multiple essential criteria rather than optimizing a single criterion. This paper develops a methodological framework based on an integrated multiple criteria decision-making (MCDM) approach that captures the complexity of location planning for collection and distribution centers under fuzzy conditions utilizing decision making trial and evaluation laboratory (DEMATEL), analytic network process (ANP), and analytic hierarchy process (AHP). This novel approach aids decision-makers to simultaneously select a separate location for collection and distribution through a holistic assessment of a location's viability for both purposes. It advances the reverse logistics literature by considering multiple criteria and their interrelationships in the location selection process, along with uncertainty and vagueness in decision making. Additionally, the proposed approach allows flexibility for decision-makers as they retain the control in picking a site based on its priority on being a collection or distribution center. Results show that government policies and regulations play a vital role in the facility location decision as they interact mostly with other criteria. Moreover, results also suggest that quantity and quality uncertainties for remanufacturing are significant factors that must be taken into consideration in the collection function, while economic and market-oriented issues are major concerns for a distribution function. This finding was observed through the application of the proposed methodological framework in a case study of the furniture industry in the Philippines. The practical implications of this study focus on being an aid in organizing and improving the operations of the reverse logistics sector of the Philippines. Finally, the proposed approach can be used to address general facility location problems in other industrial applications where tradeoffs among stakeholders or entities are well pronounced and decision-makers find it imperative that such tradeoffs must be carefully considered. (C) 2019 CPE, University of Maribor. All rights reserved.
引用
收藏
页码:297 / 322
页数:26
相关论文
共 88 条
  • [1] Andel T., 2002, TRANSPORTATION DISTR, V43, P29
  • [2] [Anonymous], 2017, CEO SURV
  • [3] Locating collection centers for incentive-dependent returns under a pick-up policy with capacitated vehicles
    Aras, Necati
    Aksen, Deniz
    Tanugur, Ayse Goenuel
    [J]. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2008, 191 (03) : 1223 - 1240
  • [4] How Collection Cost Structure Drives a Manufacturer's Reverse Channel Choice
    Atasu, Atalay
    Toktay, L. Beril
    Van Wassenhove, Luk N.
    [J]. PRODUCTION AND OPERATIONS MANAGEMENT, 2013, 22 (05) : 1089 - 1102
  • [5] A hybrid approach to concept selection through fuzzy analytic network process
    Ayag, Z.
    Ozdemir, R. G.
    [J]. COMPUTERS & INDUSTRIAL ENGINEERING, 2009, 56 (01) : 368 - 379
  • [6] Integrating analytical network process and fuzzy logic to prioritize the strategies - A case study for tile manufacturing firm
    Babaesmailli, Mohammad
    Arbabshirani, Behrooz
    Golmah, Vahid
    [J]. EXPERT SYSTEMS WITH APPLICATIONS, 2012, 39 (01) : 925 - 935
  • [7] Extended process failure mode and effect analysis (PFMEA) for the automotive industry: The FSQC-PFMEA
    Banduka, N.
    Tadic, D.
    Macuzic, I
    Crnjac, M.
    [J]. ADVANCES IN PRODUCTION ENGINEERING & MANAGEMENT, 2018, 13 (02): : 206 - 215
  • [8] Integrating fuzzy DEMATEL and fuzzy hierarchical TOPSIS methods for truck selection
    Baykasoglu, Adil
    Kaplanoglu, Vahit
    Durmusoglu, Zeynep D. U.
    Sahin, Cenk
    [J]. EXPERT SYSTEMS WITH APPLICATIONS, 2013, 40 (03) : 899 - 907
  • [9] A hybrid fuzzy MCDM approach for mitigating airport congestion: A case in Ninoy Aquino International Airport
    Bongo, Miriam F.
    Ocampo, Lanndon A.
    [J]. JOURNAL OF AIR TRANSPORT MANAGEMENT, 2017, 63 : 1 - 16
  • [10] A novel hybrid MCDM approach based on fuzzy DEMATEL, fuzzy ANP and fuzzy TOPSIS to evaluate green suppliers
    Buyukozkan, Gulcin
    Cifci, Gizem
    [J]. EXPERT SYSTEMS WITH APPLICATIONS, 2012, 39 (03) : 3000 - 3011