Design of a Reliable Location-Allocation Model under Maintenance Uncertainty for Emergency Service Network

Fan Lu, Liya Yao, Kezhong Wu, Yaoguang Hu, Jinliang Li

科研成果: 书/报告/会议事项章节会议稿件同行评审

1 引用 (Scopus)

摘要

With the increasing number of machinery clusters, traditional service providers can't meet all the maintenance demands during the busy stage, thus it is necessary to construct high-efficiency emergency service stations to ensure continuous and reliable operation. However, in contrast, there is a lack of methods and researches on the location-allocation of emergency service stations. Motivated by the gap and based on a real-life case, we aims at the location-allocation of emergency service stations under maintenance uncertainty which contains the uncertainty of maintenance demand location and quantity. We construct a stochastic programming model with probability constraints. We use cluster analysis and simulated annealing algorithms to solve this problem. In addition, we use the actual case to verify the validity of the model and algorithm. We also get the relationship between costs and service level, which provides a solution for equipment manufacturer to make decisions.

源语言英语
主期刊名2019 IEEE 6th International Conference on Industrial Engineering and Applications, ICIEA 2019
出版商Institute of Electrical and Electronics Engineers Inc.
546-550
页数5
ISBN(电子版)9781728108513
DOI
出版状态已出版 - 14 5月 2019
活动6th IEEE International Conference on Industrial Engineering and Applications, ICIEA 2019 - Tokyo, 日本
期限: 12 4月 201915 4月 2019

出版系列

姓名2019 IEEE 6th International Conference on Industrial Engineering and Applications, ICIEA 2019

会议

会议6th IEEE International Conference on Industrial Engineering and Applications, ICIEA 2019
国家/地区日本
Tokyo
时期12/04/1915/04/19

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