An integrated grey-based multi-criteria decision-making approach for supplier evaluation and selection in the oil and gas industry

被引:47
|
作者
Kaviani, Mohamad Amin [1 ]
Yazdi, Amir Karbassi [2 ]
Ocampo, Lanndon [3 ]
Kusi-Sarpong, Simonov [4 ]
机构
[1] Univ Cyprus, KIOS Res & Innovat Ctr Excellence, Dept Elect & Comp Engn, Nicosia, Cyprus
[2] Islamic Azad Univ, South Tehran Branch, Young Researchers & Elite Club, Tehran, Iran
[3] Cebu Technol Univ, Cebu, Philippines
[4] Ecoengn & Management Consult Ltd, Accra, Ghana
关键词
Supplier selection; Multi-criteria decision-making; Evaluation based on distance from average solution (EDAS) method; Grey systems theory; Uncertainty; Oil and gas industry; CHAIN RISK-MANAGEMENT; PROGRAMMING APPROACH; ORDER ALLOCATION; FUZZY TOPSIS; PERFORMANCE; ENTROPY; CRITERIA; AHP; METHODOLOGY; FRAMEWORK;
D O I
10.1108/K-05-2018-0265
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Purpose The oil and gas industry is a crucial economic sector for both developed and developing economies. Delays in extraction and refining of these resources would adversely affect industrial players, including that of the host countries. Supplier selection is one of the most important decisions taken by managers of this industry that affect their supply chain operations. However, determining suitable suppliers to work with has become a phenomenon faced by these managers and their organizations. Furthermore, identifying relevant, critical and important criteria needed to guide these managers and their organizations for supplier selection decisions has become even more complicated due to various criteria that need to be taken into consideration. With limited works in the current literature of supplier selection in the oil and gas industry having major methodological drawbacks, the purpose of this paper is to develop an integrated approach for supplier selection in the oil and gas industry. Design/methodology/approach To address this problem, this paper proposes a new uncertain decision framework. A grey-Delphi approach is first applied to aid in the evaluation and refinement of these various available criteria to obtain the most important and relevant criteria for the oil and gas industry. The grey systems theoretic concept is adopted to address the subjectivity and uncertainty in human judgments. The grey-Shannon entropy approach is used to determine the criteria weights, and finally, the grey-EDAS (evaluation based on distance from average solution) method is utilized for determining the ranking of the suppliers. Findings To exemplify the applicability and robustness of the proposed approach, this study uses the oil and gas industry of Iran as a case in point. From the literature review, 21 criteria were established and using the grey-Delphi approach, 16 were finally considered. The four top-ranked criteria, using grey-Shannon entropy, include warranty level and experience time, relationship closeness, supplier's technical level and risks which are considered as the most critical and influential criteria for supplier evaluation in the Iranian oil and gas industry. The ranking of the suppliers is obtained, and the best and worst suppliers are also identified. Sensitivity analysis indicates that the results using the proposed methodology are robust. Originality/value This study is among the first few studies of supplier selection in the oil and gas industry from an emerging economy perspective and sets the stage for future research. The proposed integrated grey-based MCDM approach provides robust results in supplier evaluation and can be used for future domain applications.
引用
收藏
页码:406 / 441
页数:36
相关论文
共 50 条
  • [1] A grey-based decision-making approach to the supplier selection problem
    Li, Guo-Dong
    Yamaguchi, Daisuke
    Nagai, Masatake
    [J]. MATHEMATICAL AND COMPUTER MODELLING, 2007, 46 (3-4) : 573 - 581
  • [2] A grey-based rough decision-making approach to supplier selection
    Li, Guo-Dong
    Yamaguchi, Daisuke
    Nagai, Masatake
    [J]. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2008, 36 (9-10): : 1032 - 1040
  • [3] A grey-based rough decision-making approach to supplier selection
    Guo-Dong Li
    Daisuke Yamaguchi
    Masatake Nagai
    [J]. The International Journal of Advanced Manufacturing Technology, 2008, 36 : 1032 - 1040
  • [4] An integrated information fusion and grey multi-criteria decision-making framework for sustainable supplier selection
    Aslani, Babak
    Rabiee, Meysam
    Tavana, Madjid
    [J]. INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE-OPERATIONS & LOGISTICS, 2021, 8 (04) : 348 - 370
  • [5] A MULTI-CRITERIA DECISION-MAKING APPROACH FOR GREENOVATIVE SUPPLIER SELECTION
    Buyukselcuk, Elif Caloglu
    Tozan, Hakan
    Vayvay, Ozalp
    [J]. INTERNATIONAL JOURNAL OF INDUSTRIAL ENGINEERING-THEORY APPLICATIONS AND PRACTICE, 2022, 29 (02): : 283 - 301
  • [6] Supplier selection in the oil & gas industry: A comprehensive approach for Multi-Criteria Decision Analysis
    Yazdi, Amir Karbassi
    Wanke, Peter Fernandes
    Hanne, Thomas
    Abdi, Farshid
    Sarfaraz, Amir Homayoun
    [J]. SOCIO-ECONOMIC PLANNING SCIENCES, 2022, 79
  • [7] A Multi-Criteria Decision-Making (MCDM) Approach Using Hybrid SCOR Metrics, AHP, and TOPSIS for Supplier Evaluation and Selection in the Gas and Oil Industry
    Wang, Chia-Nan
    Huang, Ying-Fang
    Cheng, I-Fang
    Van Thanh Nguyen
    [J]. PROCESSES, 2018, 6 (12)
  • [8] Developing a grey-based decision-making model for supplier selection
    Golmohammadi, Davood
    Mellat-Parast, Mahour
    [J]. INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, 2012, 137 (02) : 191 - 200
  • [9] An integrated fuzzy multi-criteria group decision-making approach for green supplier evaluation
    Buyukozkan, Gulcin
    [J]. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2012, 50 (11) : 2892 - 2909
  • [10] SUPPLIER EVALUATION AND SELECTION: A FUZZY NOVEL MULTI-CRITERIA GROUP DECISION-MAKING APPROACH
    Kusi-Sarpong, Simonov
    Varela, Maria Leonilde
    Putnik, Goran
    Avila, Paulo
    Agyemang, John
    [J]. INTERNATIONAL JOURNAL FOR QUALITY RESEARCH, 2018, 12 (02) : 459 - 486