Personnel scheduling and supplies provisioning in emergency relief operations

被引:48
作者
Lei, Lei [1 ]
Pinedo, Michael [2 ]
Qi, Lian [1 ]
Wang, Shengbin [3 ]
Yang, Jian [4 ]
机构
[1] Rutgers State Univ, Rutgers Business Sch, Dept Supply Chain Management, Newark, NJ 07102 USA
[2] NYU, Stern Sch Business, Dept Informat Operat & Management Sci, New York, NY USA
[3] North Carolina A&T State Univ, Sch Business & Econ, Dept Mkt Transportat & Supply Chain, Greensboro, NC USA
[4] Rutgers State Univ, Rutgers Business, Dept Management Sci & Informat Syst, Newark, NJ 07102 USA
关键词
Emergency operations scheduling; Renewable and non-renewable resource constraints; Tardiness minimization; Mathematical programming based heuristics; Empirical results; RESOURCE CONSTRAINTS; MULTIPLE RESOURCES; ASSIGNMENT PROBLEM; DISASTER RESPONSE; ROLLING-HORIZON; LOGISTICS; ALGORITHM; MODEL; OPTIMIZATION;
D O I
10.1007/s10479-015-1990-6
中图分类号
C93 [管理学]; O22 [运筹学];
学科分类号
070105 ; 12 ; 1201 ; 1202 ; 120202 ;
摘要
The practice of emergency operations often involves the travelling of medical teams and the distribution of medical supplies. In an emergency, such as an earthquake, a medical team often has to visit various hospitals (the customers) one after another in a predetermined sequence in order to perform on-site operations that require certain amounts of medical supplies. Because of their perishable nature, the medical supplies are typically shipped in batches from upstream suppliers and kept at multiple distribution centers during the disaster relief process. The scheduling of the medical teams and the provisioning of the medical supplies give rise to a scheduling problem that involves the timely dispatching of supplies from distribution centers to hospitals in coordination with the scheduling of medical teams so as to minimize the total tardiness of the completions of the operations to be performed. We introduce a mathematical programming based rolling horizon heuristic that is able to find near optimal solutions for networks of up to 80 hospitals very fast. We also report on empirical observations with regard to the computational performance of the heuristic; we consider 5420 randomly generated test cases as well as a case that is based on an actual hospital-distribution center network in the greater New York metropolitan area. Managerial insights are drawn from numerical studies regarding the benefits of pre-positioning medical supplies at the distribution centers.
引用
收藏
页码:487 / 515
页数:29
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