Abstract
This paper presents an optimization method for a stone industry park location planning problem considering hierarchical structure of local government and stone enterprises under fuzzy random environment. A multi-objective bi-level decision making model is established in which the unit production cost and unit transportation cost are considered as fuzzy random variables. The local government, as the leader in the hierarchy, aims to minimize both total pollution emissions and development and operating costs. The stone enterprises, as the followers in the hierarchy, regard the target only to minimize total costs. To deal with the uncertainties, the expected value operator and chance constraint method are used to transform the uncertain model into a calculable one. Finally, a case study was conducted as a practical example to demonstrate the practicality and efficiency of the proposed model.
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Acknowledgements
Support was provided by the National Natural Science Foundation of China (Grant nos. 71401093, 71601134), Soft Science Research Project of Shaanxi Province (Grant no. 2016KRM089), Research Center for Systems Science & Enterprise Development (Grant nos. Xq16B01, Xq17B07), and the Fundamental Research Funds for the Central Universities (Grant no. WUT: 2018VI068).
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Tu, Y., Li, Z., Nie, L., Zhou, X. (2019). Multi-Objective Bi-Level Programming Under Fuzzy Random Environment for Stone Industry Parks Location. In: Xu, J., Cooke, F., Gen, M., Ahmed, S. (eds) Proceedings of the Twelfth International Conference on Management Science and Engineering Management. ICMSEM 2018. Lecture Notes on Multidisciplinary Industrial Engineering. Springer, Cham. https://doi.org/10.1007/978-3-319-93351-1_46
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DOI: https://doi.org/10.1007/978-3-319-93351-1_46
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