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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Al-Jabari M, Sawalha H (2002) Treating stone cutting waste by flocculation-sedimentation. In: Proceedings of the 28th WEDC conference, sustainable environmental sanitation and water services conference, Calcutta, India
Almeida N, Branco F, Santos J (2007) Recycling of stones lurry in industrial activities: application to concrete mixtures. Build Environ 42(2): 810C819
Chanta S, Mayorga ME, Mclay LA (2014) Improving emergency service in rural areas: a bi-objective covering location model for ems systems. Ann Oper Res 221(1):133–159
Charnes A, Cooper W (1959) Chance-constrained programming. Manage Sci 6(1):73–79
Daskin MS (2016) A maximum expected covering location model: formulation, properties and heuristic solution. Transp Sci 17(1):48–70
Davis PS, Ray TL (2015) A branch-bound algorithm for the capacitated facilities location problem. Naval Res Logist 16(3):331–344
Gang J, Tu Y et al (2015) A multi-objectivebi-levellocationplanningproblemforstone industrial parks. Comput Oper Res 56:8–21
Jena SD, Cordeau JF, Gendron B (2016) Solving a dynamic facility location problem with partial closing and reopening. Comput Oper Res 67:143–154
Xu J, Zhou X (2011) Fuzzy-like multiple objective decision making springer
Yao L, Xu J, Guo F (2012) A stone resource assignment model under the fuzzy environment. Math Probl Eng https://doi.org/10.1155/2012/265837
Zhalechian M, Tavakkoli-Moghaddam R (2017) An interactive possibilistic programming approach for a multi-objective hub location problem: economic and environmental design. Appl Soft Comput 52(C): 699–713
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).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer International Publishing AG, part of Springer Nature
About this paper
Cite this paper
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
Download citation
DOI: https://doi.org/10.1007/978-3-319-93351-1_46
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-93350-4
Online ISBN: 978-3-319-93351-1
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)