Compound mechanism design of supplier selection based on multi-attribute auction and risk management of supply chain

Computers and Industrial Engineering

Volumn 105, Issue , 2017, Pages 63-75

  Rao, Congjun ^a   Xiao, Xinping ^a   Goh, Mark ^b,c   Zheng, Junjun ^d   Wen, Jianghui ^a  

^a WUHAN UNIVERSITY OF TECHNOLOGY   (China)

^b NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

^c RMIT UNIVERSITY   (Australia)

^d WUHAN UNIVERSITY   (China)

Author keywords

Grey correlation degree; Multi attribute auction; Risk management; Supplier selection; Supply chain; Two stage compound mechanism

Indexed keywords

COMPETITION; MACHINE DESIGN; RISK MANAGEMENT; SUPPLY CHAINS;

AUCTION MECHANISMS; GREY CORRELATION DEGREES; MANAGEMENT OF SUPPLY CHAINS; MECHANISM DESIGN; MULTI-ATTRIBUTE AUCTION; QUANTITY FLEXIBILITY; SUPPLIER SELECTION; SUPPLY CHAIN RISK MANAGEMENT;

SUPPLY CHAIN MANAGEMENT;

EID: 85008957005     PISSN: 03608352     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cie.2016.12.042     Document Type: Article

References (75)

1. Adida, E., DeMiguel, V., Supply chain competition with multiple manufacturers and retailers. Operations Research 59 (2011), 156–172.
2. Aliabadi, D.E., Kaazemi, A., Pourghannad, B., A two-level GA to solve an integrated multi-item supplier selection model. Applied Mathematics and Computation 219 (2013), 7600–7615.
3. Amid, A., Ghodsypour, S.H., O'Brien, C., A weighted max–min model for fuzzy multi-objective supplier selection in a supply chain. International Journal of Production Economics 131 (2011), 139–145.
4. Amindousta, A., Ahmeda, S., Saghafiniab, A., Bahreininejada, A., Sustainable supplier selection: A ranking model based on fuzzy inference system. Applied Soft Computing 12 (2012), 1668–1677.
5. Amorim, P., Curcio, E., Almada-Lobo, B., Barbosa-Póvoa, A.P.F.D., Grossmann, I.E., Supplier selection in the processed food industry under uncertainty. European Journal of Operational Research 252 (2016), 801–814.
6. Aqlan, F., Lam, S.S., Supply chain risk modelling and mitigation. International Journal of Production Research 53:18 (2015), 5640–5656.
7. Arikan, F., A fuzzy solution approach for multi objective supplier selection. Expert Systems with Applications 40 (2013), 947–952.
8. Ayhan, M.B., Kilic, H.S., A two stage approach for supplier selection problem in multi-item/multi-supplier environment with quantity discounts. Computers & Industrial Engineering 85 (2015), 1–12.
9. Azadi, M., Jafarian, M., Saen, R.F., Mirhedayatian, S.M., A new fuzzy DEA model for evaluation of efficiency and effectiveness of suppliers in sustainable supply chain management context. Computers & Operations Research 54 (2015), 274–285.
10. Cao, J. J. (2012). Research on supplier evaluation and selection from the perspective of supply chain risk management. Master degree paper of Chongqing Normal University.
11. Cárdenas-Barrón, L.E., González-Velarde, J.L., Treviño-Garza, G., A new approach to solve the multi-product multi-period inventory lot sizing with supplier selection problem. Computers & Operations Research 64 (2015), 225–232.
12. Chai, J.Y., Liu, J.N.K., A novel believable rough set approach for supplier selection. Expert Systems with Applications 41 (2014), 92–104.
13. Chen, P.S., Wu, M.T., A modified failure mode and effects analysis method for supplier selection problems in the supply chain risk environment: A case study. Computers & Industrial Engineering 66 (2013), 634–642.
14. Choudhary, D., Shankar, R., A goal programming model for joint decision making of inventory lot-size, supplier selection and carrier selection. Computers & Industrial Engineering 71 (2014), 1–9.
15. Choy, K.L., Lee, W.B., A generic supplier management tool for outsourcing manufacturing. Journal of Supply Chain Management 8 (2003), 140–154.
16. David, E., Azoulay-Schwartz, R., Kraus, R.S., Bidding in sealed-bid and English multi-attribute auctions. Decision Support Systems 42 (2006), 527–556.
17. Deng, X.Y., Hu, Y., Deng, Y., Mahadevan, S., Supplier selection using AHP methodology extended by D numbers. Expert Systems with Applications 41 (2014), 156–167.
18. Dickson, G., An analysis of vender selection systems and decisions. Journal of Purchasing 2 (1966), 5–17.
19. Federgruen, A., Yang, N., Selecting a portfolio of suppliers under demand and supply risks. Operations Research 56 (2008), 916–936.
20. Federgruen, A., Yang, N., Procurement strategies with unreliable suppliers. Operations Research l59 (2011), 1033–1039.
21. Ghorabaee, M.K., Zavadskas, E.K., Amiri, M., Esmaeili, A., Multi-criteria evaluation of green suppliers using an extended WASPAS method with interval type-2 fuzzy sets. Journal of Cleaner Production 137 (2016), 213–229.
22. Güneri, A.F., Ertay, T., Yücel, A., An approach based on ANFIS input selection and modeling for supplier selection problem. Expert Systems with Applications 38 (2011), 14907–14917.
23. Hammami, R., Temponi, C., Frein, Y., A scenario-based stochastic model for supplier selection in global context with multiple buyers, currency fluctuation uncertainties, and price discounts. European Journal of Operational Research 233 (2014), 159–170.
24. Hashemi, S.H., Karimi, A., Tavana, M., An integrated green supplier selection approach with analytic network process and improved grey relational analysis. International Journal of Production Economics 159 (2015), 178–191.
25. Heidarzadea, A., Mahdavi, I., Mahdavi-Amiri, N., Supplier selection using a clustering method based on a new distance for interval type-2 fuzzy sets: A case study. Applied Soft Computing 38 (2016), 213–231.
26. Ho, W., Xu, X., Dey, P.K., Multi-criteria decision making approaches for supplier evaluation and selection: A literature review. European Journal of Operational Research 202:1 (2010), 16–24.
27. Ho, W., Zheng, T., Yildiz, H., Talluri, S., Supply chain risk management: A literature review. International Journal of Production Research 53:16 (2015), 5031–5069.
28. Hosseini, S., Barker, K., A Bayesian network model for resilience-based supplier selection. International Journal of Production Economics 180 (2016), 68–87.
29. Jadidi, O., Cavalieri, S., Zolfaghari, S., An improved multi-choice goal programming approach for supplier selection problems. Applied Mathematical Modelling 39 (2015), 4213–4222.
30. Jadidi, O., Zolfaghari, S., Cavalieri, S., A new normalized goal programming model for multi-objective problems: A case of supplier selection and order allocation. International Journal of Production Economics 148 (2014), 158–165.
31. Ji, Y., Goh, M., Proximal point algorithms for multi-criteria DC programming with applications to Portfolio optimization. Journal of Optimization Theory and Applications 169:1 (2016), 280–289.
32. Karsak, E.E., Dursun, M., An integrated fuzzy MCDM approach for supplier evaluation and selection. Computers & Industrial Engineering 8 (2015), 282–293.
33. Kilic, H.S., An integrated approach for supplier selection in multi-item multi-supplier environment. Applied Mathematical Modelling 37 (2013), 7752–7763.
34. Kumar, A., Jain, V., Kumar, S., A comprehensive environment friendly approach for supplier selection. Omega 42 (2014), 109–123.
35. Li, C.H., Sourcing for supplier effort and competition: Design of the supply base and pricing mechanism. Management Science 59:6 (2013), 1389–1406.
36. Li, D.F., Notes on “Possibilistic programming approach for fuzzy multidimensional analysis of preference in group decision making”. Computers & Industrial Engineering 73 (2014), 1–4.
37. Li, D.F., Liu, J.C., A parameterized non-linear programming approach to solve matrix games with payoffs of I-fuzzy numbers. IEEE Transactions on Fuzzy Systems 23:4 (2015), 885–896.
38. Li, D.F., Ren, H.P., Multi-attribute decision making method considering the amount and reliability of intuitionistic fuzzy information. Journal of Intelligent & Fuzzy Systems 28 (2015), 1877–1883.
39. Liao, C.N., Kao, H.P., An integrated fuzzy TOPSIS and MCGP approach to supplier selection in supply chain management. Expert Systems with Applications 38 (2011), 10803–10811.
40. Liao, H.C., Xu, Z.S., Zeng, X.J., Hesitant fuzzy linguistic VIKOR method and its application in qualitative multiple criteria decision making. IEEE Transactions on Fuzzy Systems 23:5 (2015), 1343–1355.
41. Liao, H.C., Xu, Z.S., Zeng, X.J., Xu, D.L., An enhanced consensus reaching process in group decision making with intuitionistic fuzzy preference relations. Information Sciences 329 (2016), 274–286.
42. Liou, J.J.H., Chuang, Y.C., Tzeng, G.H., A fuzzy integral-based model for supplier evaluation and improvement. Information Sciences 266 (2014), 199–217.
43. Ma, S.H., Lin, Y., Chen, Z.Q., Supply chain management. 2000, China Machine Press, Beijing.
44. Memon, M.S., Lee, Y.H., Mari, S.I., Group multi-criteria supplier selection using combined grey systems theory and uncertainty theory. Expert Systems with Applications 42 (2015), 7951–7959.
45. Menon, M.K., McGinnis, M.A., Ackerman, K.B., Selection criteria for providers of third party logistics services: An exploratory study. Journal of Business Logistics 19 (2008), 121–137.
46. Orji, I.J., Wei, S., An innovative integration of fuzzy-logic and systems dynamics in sustainable supplier selection: A case on manufacturing industry. Computers & Industrial Engineering 88 (2015), 1–12.
47. Patton, W.E., Use of human judgment models in industrial buyers, vendor selection decisions. Industrial Marketing Management 25 (2008), 135–149.
48. Petroni, A., Braglia, M., Vendor selection using principal component analysis. Journal of Supply Chain Management 36 (2010), 63–69.
49. Qu, S.J., Goh, M., Ji, Y., Robert, D.S., A new algorithm for linearly constrained C-convex vector optimization with a supply chain network risk application. European Journal of Operational Research 247 (2015), 359–365.
50. Rao, C.J., Goh, M., Zhao, Y., Zheng, J.J., Location selection of sustainability city logistics centers. Transportation Research Part D: Transport and Environment 36 (2015), 29–44.
51. Rao, C.J., Peng, J., Fuzzy group decision making model based on credibility theory and gray relative degree. International Journal of Information Technology & Decision Making 8 (2009), 515–527.
52. Rao, C.J., Zhao, Y., Optimal multi-attribute auctions for divisible goods. International Journal of Information Technology & Decision Making 10 (2011), 891–911.
53. Rao, C.J., Zhao, Y., Ma, S.H., Procurement decision making mechanism of divisible goods based on multi-attribute auction. Electronic Commerce Research and Applications 11:4 (2012), 397–406.
54. Rao, C.J., Zhao, Y., Zheng, J.J., Wang, C., Chen, Z.W., An extended uniform price auction mechanism of homogeneous divisible goods: Supply optimization and non-strategic bidding. International Journal of Production Research 54:13 (2016), 4028–4042.
55. Rao, C.J., Zheng, J.J., Wang, C., Xiao, X.P., A hybrid multi-attribute group decision making method based on grey linguistic 2-tuple. Iranian Journal of Fuzzy Systems 13:2 (2016), 37–59.
56. Rezaei, J., Davoodi, M., Multi-objective models for lot-sizing with supplier selection. International Journal of Production Economics 130 (2011), 77–86.
57. Rezaei, J., Nispeling, T., Sarkis, J., Tavasszy, L., A supplier selection life cycle approach integrating traditional and environmental criteria using the best worst method. Journal of Cleaner Production 135 (2016), 577–588.
58. Sawik, T., Joint supplier selection and scheduling of customer orders under disruption risks: Single vs. dual sourcing. Omega 43 (2014), 83–95.
59. Shawa, K., Shankar, R., Yadav, S.S., Thakur, L.S., Supplier selection using fuzzy AHP and fuzzy multi-objective linear programming for developing low carbon supply chain. Expert Systems with Applications 39 (2012), 8182–8192.
60. Shemshadi, A., Shirazi, H., Toreihi, M., Tarokh, M.J., A fuzzy VIKOR method for supplier selection based on entropy measure for objective weighting. Expert Systems with Applications 38 (2011), 12160–12167.
61. Sodenkamp, M.A., Tavana, M., Caprio, D.D., Modeling synergies in multi-criteria supplier selection and order allocation: An application to commodity trading. European Journal of Operational Research 254 (2016), 859–874.
62. Toloo, M., Nalchigar, S., A new DEA method for supplier selection in presence of both cardinal and ordinal data. Expert Systems with Applications 38 (2011), 14726–14731.
63. Torabi, S.A., Baghersad, M., Mansouri, S.A., Resilient supplier selection and order allocation under operational and disruption risks. Transportation Research Part E 79 (2015), 22–48.
64. Vahdani, B., Iranmanesh, S.H., Mousavi, S., Abdollahzade, M., A locally linear neuro-fuzzy model for supplier selection in cosmetics industry. Applied Mathematical Modelling 36 (2012), 4714–4727.
65. Ventura, J.A., Valdebenito, V.A., Golany, B., A dynamic inventory model with supplier selection in a serial supply chain structure. European Journal of Operational Research 230 (2013), 258–271.
66. Weber, C.A., Current, J.R., Benton, W.C., Vendor selection criteria and method. European Journal of Operational Research 50 (1991), 2–18.
67. Willis, T.H., Huston, R., Pohlkamp, P.F., Evaluation measures of just-in-time supplier performance. Production and Inventory Management Journal 34 (2005), l–5.
68. Wilson, E.L., The relative importance of supplier selection criteria: A review and update. International Journal of Purchasing and Materials Management 25 (2006), 35–41.
69. Xiao, X.P., Song, Z.M., Li, F., Grey technology and its application. 2005, Science Press, Beijing.
70. Xu, Z., Uncertain multiple attribute decision making: Methods and applications. 1999, Springer-Verlag, New York.
71. Xu, Z.S., Zhang, X.L., Hesitant fuzzy multi-attribute decision making based on TOPSIS with incomplete weight information. Knowledge-Based Systems 52 (2013), 53–64.
72. Yahya, S., Kingsman, B., Vender rating for an entrepreneur development programme: A case study using the analytic hierarchy process method. Journal of Operational Research Society 50 (2009), 916–930.
73. Yu, F., Kaihara, T., Fujii, N., Sun, C.Y., Yang, W.K., A multi-attribute multi-item negotiation mechanism of supply chain networks between buyers and sellers. International Journal of Production Research 53:20 (2015), 6143–6160.
74. Yu, F., Xue, L., Sun, C.Y., Zhang, C., Product transportation distance based supplier selection in sustainable supply chain network. Journal of Cleaner Production 137 (2016), 29–39.
75. Zhang, J.L., Chen, J., Supplier selection and procurement decisions with uncertain demand, fixed selection costs and quantity discounts. Computers & Operations Research 40 (2013), 2703–2710.