Vehicle scheduling schemes for commercial and emergency logistics integration

• Published in: PloS one Vol. 8; no. 12; p. e82866
• Main Authors: Li, Xiaohui, Tan, Qingmei
• Format: Journal Article
• Language: English
• Published: United States Public Library of Science 31-12-2013; Public Library of Science (PLoS)
• Subjects: Biology; Business; China; Commerce; Commercial vehicles; Computer Science; Computer Simulation; Costs; Disaster Planning - economics; Disaster Planning - organization & administration; Disaster relief; Disasters; Earthquakes; Emergency preparedness; Emergency procedures; Emergency vehicles; Engineering; Feasibility studies; Humans; International conferences; Logistics; Logistics services; Mathematical models; Medicine; Network management systems; Profits; Programming, Linear; Relief Work - organization & administration; Schedules; Scheduling; Subsidies; Tactics; Task scheduling; Transportation; Transportation services; Vehicles; China
• ISSN: 1932-6203; 1932-6203
• DOI: 10.1371/journal.pone.0082866

In modern logistics operations, large-scale logistics companies, besides active participation in profit-seeking commercial business, also play an essential role during an emergency relief process by dispatching urgently-required materials to disaster-affected areas. Therefore, an issue has been widely addressed by logistics practitioners and caught researchers' more attention as to how the logistics companies achieve maximum commercial profit on condition that emergency tasks are effectively and performed satisfactorily. In this paper, two vehicle scheduling models are proposed to solve the problem. One is a prediction-related scheme, which predicts the amounts of disaster-relief materials and commercial business and then accepts the business that will generate maximum profits; the other is a priority-directed scheme, which, firstly groups commercial and emergency business according to priority grades and then schedules both types of business jointly and simultaneously by arriving at the maximum priority in total. Moreover, computer-based simulations are carried out to evaluate the performance of these two models by comparing them with two traditional disaster-relief tactics in China. The results testify the feasibility and effectiveness of the proposed models.