DCM: D Number Extended Cognitive Map. Application on Location Selection in SCM
AbstractOffshore outsourcing is a widely used management technique for performing business functions with the aim of reducing labor and transportation costs. The selection of locations has a significant influence on the supply chain’s resilience and qualities, but the influence of multiple external factors on the supply chain’s performance in local places in a complex and uncertain environment has not been examined. In this study, we investigated the influence of external factors in a highly uncertain and complicated situation in which relationships between external factors and supply chain resilience are complicated. Furthermore, we proposed a novel model to select locations from a comprehensive perspective. Specifically, the fuzzy cognitive map (FCM) is utilized to simulate the dynamic influence process where the adjacency is aggregated by D numbers. The weights of different resilience capabilities are considered from the perspective of maximizing benefits by using the decision-making trial and evaluation laboratory-analytic network processes (DEMATEL-ANP) model. By comparing the distance to the ideal solutions, we selected the best alternative location. Our results differ from the general case, which reveals that the weights of different capabilities influence selections.
 Dekkers, R.(2000). Decision models for outsourcing and cor competencies in manufacturing. International Journal of Production Research, 38(17), 4085-4096, 2000.
 Dempster, A.P. (1967). Upper and lower probabilities induced by a multivalued mapping. The annals of mathematical statistics, 325-339, 1967.
 Dong, Y.; Zhang, J.; Li, Z.; Hu, Y.; Deng, Y.(2019). Combination of evidential sensor reports with distance function and belief entropy in fault diagnosis. International Journal of Computers Communications & Control, 14(3), 293-307, 2019.
 Fontela, E.; Gabus, A.(1976). The dematel observer, Battelle Geneva Research Center, Geneva, 1976.
 Gao, X.; Deng, Y. (2019). The generalization negation of probability distribution and its application in target recognition based on sensor fusion. International Journal of Distributed Sensor Networks,15(5), 381, 2019.
 Giret, A.; Julián, V.; Corchado, J.M.; Fernández, A.; Salido, M.A.; Tang, D.(2018). How to choose the greenest delivery plan: A framework to measure key performance indicators for sustainable urban logistics. IFIP International Conference on Advances in Production Management Systems, 181-189, 2018.
 Guan, X.; Liu, H.; Yi, X.; Zhao, J.(2018). The Improved Combination Rule of D Numbers and Its Application in Radiation Source Identification, Mathematical Problems in Engeneering, Article ID 6025680, 2018.
 Gurtu, A.; Searcy, C.; Jaber, M. (2016). Effects of offshore outsourcing on a nation. Sustainable Production and Consumption, 7, 94-105, 2016.
 Gylling, M.; Heikkilä, J.; Jussila, K.; Saarinen, M. (2015). Making decisions on offshore outsourcing and backshoring: A case study in the bicycle industry. International Journal of Production Economics, 162, 92-100, 2015.
 Han, Y.; Deng, Y.(2018). An enhanced fuzzy evidential dematel method with its application to identify critical success factors. Soft computing, 22(15), 5073-5090, 2018.
 Han, Y.; Deng, Y. (2018). An evidential fractal ahp target recognition method. Defence Science Journal, 68(4), 367-373, 2018.
 Han, Y.; Deng, Y.(2018). A hybrid intelligent model for assessment of critical Ambient intelligence, 9(6), 1933-1953, 2018.
 Han, Y.; Deng, Y. (2019). A novel matrix game with payoffs of maxitive belief structure, International Journal of Intelligent Systems, 34(4), 690-706
 Han, Y.; Deng, Y.; Cao, Z.; Lin, C.(2019). An interval-valued pythagorean prioritized operator-based game theoretical framework with its applications in multicriteria group decision making, Neural Computing and Applications, 1-19, 2019.
 Lai, Y.J.; Liu, T.Y.; Hwang, C.L.(1994). Topsis for modm. European journal of operational research, 76(3), 486-500, 1994.
 Li, Y.; Deng, Y.(2019). TDBF: Two Dimension Belief Function. International Journal of Intelligent Systems, 34(8), 1968-1982, 2019.
 Lin, S.; Li, C.; Xu, F.; Liu, D.; Liu, J. (2018). Risk identification and analysis for new energy power system in China based on D numbers and decision-making trial and evaluation laboratory (DEMATEL), Journal of Cleaner Production,180, 81-96, 2018.
 Liu, P.; Zhang, X.(2019). A multicriteria decision-making approach with linguistic D numbers based on the Choquet integral, Cognitive Computation, 11(4), 560-575, 2019.
 Mo, H.; Deng, Y.(2019). An evaluation for sustainable mobility extended by D numbers, Technological and Economic Development of Economy, 25(5), 802-819, 2019.
 Mousavi, S.M.; Antuchevicien˙e, J.; Zavadskas, E.K.; Vahdani, B.; Hashemi, H.(2019). A new decision model for cross-docking center location in logistics networks under interval-valued intuitionistic fuzzy uncertainty, Transport, 34(1), 30-40, 2019.
 Mukherjee, D.; Gaur, A.S.; Datta, A.(2013). Creating value through offshore outsourcing: An integrative framework, Journal of International Management, 19(4), 377-389, 2013.
 O'keefe, J.; Nadel, L.(1978). The hippocampus as a cognitive map, Clarendon Press, Oxford, 1978.
 Papageorgiou, E.; Stylios, C.; Groumpos, P.(2003). Fuzzy cognitive map learning based on nonlinear hebbian rule, Australasian Joint Conference on Artificial Intelligence, 256-268, 2003.
 Pereira, V.; Anderson, V.(2012). A longitudinal examination of hrm in a human resources offshoring (hro) organization operating from india. Journal of World Business, 47(2), 223- 231, 2012.
 Saaty, T.L.(1980). The analytic hierarchy process: planning. Priority Setting. Resource Allocation, MacGraw-Hill, New York International Book Company, 1980.
 Saaty, T.L.(1996). Decision making with dependence and feedback. The analytic network process, Rws Publications, 1996.
 Shafer, G., et al.(1976). A mathematical theory of evidence, vol. 1. Princeton university press, Princeton, 1976.
 Shankar, R.; Choudhary, D.; Jharkharia, S.(2018). An integrated risk assessment model: A case of sustainable freight transportation systems, Transportation Research Part D: Transport and Environment, 63, 662-676, 2018.
 Shukla, A.; Agarwal, P.; Rana, R.; Purohit, R.(2017). Applications of topsis algorithm on various manufacturing processes: A review. Materials Today: Proceedings, 4(4), 5320-5329, 2017.
 Singh, P.; Agrawal, R.(2018). A customer centric best connected channel model for heterogeneous and iot networks, Journal of Organizational and End User Computing, 30(4), 32-50, 2018.
 Sun, R.; Deng, Y.(2019). A new method to identify incomplete frame of discernment in evidence theory, IEEE Access, 7, 15547-15555
 Sun, R.; Deng, Y.(2019). A new method to determine generalized basic probability assignment in the open world, IEEE Access, 7, 52827-52835, 2019.
 Tsai, S.B.; Zhou, J.; Gao, Y.; Wang, J.; Li, G.; Zheng, Y.; Ren, P.; Xu, W.(2017). Combining fmea with dematel models to solve production process problems. Plos One, 12(8), e0183, 634, 2017.
 Yadlapalli, A.; Rahman, S.; Gunasekaran, A.(2018). Socially responsible governance mechanisms for manufacturing firms in apparel supply chains. International Journal of Production Economics, 196, 135-149, 2018.
 Yang, H.; Deng, Y. (2019). A bio-inspired optimal network division method, Physica A: Statistical Mechanics & Its Applications, 527, 210-219
 Yang, H.; Deng, Y.; Jones, J. (2018). Network division method based on cellular growth and physarum-inspired network adaptation, International Journal of Unconventional Computing, 13(6), 477-491, 2018.
 Yoon, K.; Hwang, C.L. (1981). Multiple attribute decision making: methods and applications, Springer-Verlag, Berlin, 1981.
 Yoon, K.P.; Kim, W.K.(2017). The behavioral topsis. Expert Systems with Applications, 89, 266-272, 2017.
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