Fuzzy Multi-Objective Optimization to Evaluate the Performance of Suppliers Taking Into Account the Visibility and Supply Chain Risk

[1] Barney J., Firm resources and sustained competitive advantage, Journal of Management, 17, 1, 1991, 99-120. Search in Google Scholar

[2] Heikkilä J., From supply to demand chain management: efficiency and customer satisfaction. Journal of Operations Management, 20, 6, 2002, 747-767. Search in Google Scholar

[3] Goli A., Khademi-Zare H., Tavakkoli-Moghaddam R., Sadeghieh A., Sasanian M., Malekalipour Kordestanizadeh R., An integrated approach based on artificial intelligence and novel meta-heuristic algorithms to predict demand for dairy products: a case study. Network: Computation in Neural Systems, 32, 1, 2021, 1-35. Search in Google Scholar

[4] Giri B.K., Roy S.K., Neutrosophic multi-objective green four-dimensional fixed-charge transportation problem, International Journal of Machine Learning and Cybernetics, 13, 10, 2022, 3089-3112. Search in Google Scholar

[5] Sanders D.R., Manfredo M.R., The role of value-at-risk in purchasing: an application to the foodservice industry, Journal of Supply Chain Management, 38, 1, 2002, 38-45. Search in Google Scholar

[6] Maity G., Yu V.F., Roy S.K., Optimum Intervention in Transportation Networks Using Multimodal System under Fuzzy Stochastic Environment, Journal of Advanced Transportation, 2022. Search in Google Scholar

[7] Zsidisin G.A., Managerial perceptions of supply risk, Journal of Supply Chain Management, 39, 4, 2003, 14-26. Search in Google Scholar

[8] Childerhouse P., Disney S.M., Towill D.R., On the impact of order volatility in the European automotive sector, International Journal of Production Economics, 114, 1, 2008, 2-13. Search in Google Scholar

[9] Goh M., Lim J.Y., Meng F., A stochastic model for risk management in global supply chain networks, European Journal of Operational Research, 182, 1, 2007, 164-173. Search in Google Scholar

[10] Mondal A., Roy S.K., Midya S., Intuitionistic fuzzy sustainable multi-objective multi-item multi-choice step fixed-charge solid transportation problem. Journal of Ambient Intelligence and Humanized Computing, 2021, 1-25. Search in Google Scholar

[11] Mondal A., Roy S.K., Multi-objective sustainable opened-and closed-loop supply chain under mixed uncertainty during COVID-19 pandemic situation, Computers & Industrial Engineering, 159, 2021, 107453. Search in Google Scholar

[12] Petersen K.J., Ragatz G.L., Monczka R.M., An examination of collaborative planning effectiveness and supply chain performance, Journal of Supply Chain Management, 41, 2, 2005, 14-25. Search in Google Scholar

[13] Bartlett P.A., Julien D.M., Baines T.S., Improving supply chain performance through improved visibility, The International Journal of Logistics Management, 18, 2, 2007, 294-313. Search in Google Scholar

[14] Enslow B., Global Supply Chain Benchmark Report: Industry Priorities for Visibility. B2B Collaboration, Trade Compliance and Risk Management, Aberdeen Group, 2006. Search in Google Scholar

[15] Delen D., Hardgrave B.C., Sharda R., RFID for better supply-chain management through enhanced information visibility. Production And Operations Management, 16, 5, 2007, 613-624. Search in Google Scholar

[16] Zhou W., RFID and item-level information visibility, European Journal of Operational Research, 198, 1, 2009, 252-258. Search in Google Scholar

[17] Ouyang Y., The effect of information sharing on supply chain stability and the bullwhip effect, European Journal of Operational Research, 182, 3, 2007, 1107-1121. Search in Google Scholar

[18] Goh M., De Souza R., Zhang A.N., He W., Tan P.S., Supply chain visibility: adecision making perspective. In 2009 4th IEEE Conference on industrial electronics and applications (pp. 2546-2551). IEEE. 2009 Search in Google Scholar

[19] Amid A., Ghodsypour S.H., O’Brien C., Fuzzy multiobjective linear model for supplier selection in a supply chain. International Journal of production economics, 104, 2, 2006, 394-407. Search in Google Scholar

[20] Turgut O., Dalkiran E., Murat A.E., An exact parallel objective space decomposition algorithm for solving multi-objective integer programming problems, Journal of Global Optimization, 75, 1, 2019, 35-62. Search in Google Scholar

[21] Xue Y., Li Y.F., Multi-objective integer programming approaches for solving the multi-criteria test-suite minimization problem: Towards sound and complete solutions of a particular search-based software-engineering problem, ACM Transactions on Software Engineering and Methodology (TOSEM), 29, 3, 2020, 1-50. Search in Google Scholar

[22] Manuj I., Mentzer J.T., Global supply chain risk management, Journal of Business Logistics, 29 1, 2008, 133-155. Search in Google Scholar

[23] Goli A., Tirkolaee E.B., Malmir B., Bian G.B., Sangaiah A.K., A multi-objective invasive weed optimization algorithm for robust aggregate production planning under uncertain seasonal demand, Computing, 101, 6, 2019, 499-529. Search in Google Scholar

[24] Rubashkina Y., Galeotti M., Verdolini E., Environmental regulation and competitiveness: empirical evidence on the Porter Hypothesis from European manufacturing sectors, Energy Policy, 83, 2015, 288-300. Search in Google Scholar

[25] Gajdzik B., Key Directions in Changes from Steelworks 3.0 to Steelworks 4.0 with analysis of selected technologies of digitalizing the steel industry in Poland. Management Systems in Production Engineering, 30, 1, 2022, 46-53. Search in Google Scholar

[26] Goli A., Tirkolaee E.B., Aydın N.S., Fuzzy integrated cell formation and production scheduling considering automated guided vehicles and human factors, IEEE Transactions on Fuzzy Systems, 29, 12, 2021, 3686-3695. Search in Google Scholar

[27] Mondal A., Roy S.K., Application of Choquet integral in interval type-2 Pythagorean fuzzy sustainable supply chain management under risk, International Journal of Intelligent Systems, 37, 1, 2022, 217-263. Search in Google Scholar