A distributionally robust optimisation model for last mile relief network under mixed transport. Issue 4 (16th February 2022)

• Record Type: Journal Article
• Authors: Zhang, Peiyu; Liu, Yankui; Yang, Guoqing; Zhang, Guoqing
• Is Part Of: International journal of production research. Volume 60:Issue 4(2022)
• Page Start: 1316
• Page End: 1340
• Publication Date: 2022-02-16
• Subjects: Last mile relief network -- mixed transport -- manpower and resource limitation -- distributionally robust optimisation -- safe approximation; Factory management -- Periodicals; 658.57
• DOI: 10.1080/00207543.2020.1856439
• Languages: English
• ISSNs: 0020-7543

Abstract

Abstract : The last mile relief network is the final stage of the relief chain but the most critical stage for ensuring the timely delivery of relief supplies after a disaster. Due to the suddenness of the disaster, balancing the shortages of relief supplies and the high demands of victims is a serious problem. We introduce a mixed transport way of relief supply transportation between points of distributions and demand nodes in our problem to face the manpower and resource limitations. We establish a bi-objective distributionally robust optimisation model to balance transportation time and transportation safety, where the demand, transportation time, freight and safety coefficient are assumed to be uncertain variables with partial distribution information. We also deduce the refinement robust counterparts under the ambiguous sets to prove the safe tractable approximations of chance constraints. Finally, we conduct a case study of Tonghai county earthquake to illustrate the efficiency of our proposed distributionally robust model.