Grain Emergency Vehicle Scheduling Problem with Time and Demand Uncertainty | Zendy

Jiang DongQing | Zendy; Qunxiong Zhu | Zendy

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Grain Emergency Vehicle Scheduling Problem with Time and Demand Uncertainty

Author(s) -

Jiang DongQing,

Qunxiong Zhu

Publication year - 2014

Publication title -

mathematical problems in engineering

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.262

H-Index - 62

eISSN - 1026-7077

pISSN - 1024-123X

DOI - 10.1155/2014/971861

Subject(s) - randomness , scheduling (production processes) , research object , emergency vehicle , mathematical optimization , computer science , emergency relief , job shop scheduling , operations research , emergency response , engineering , emergency management , mathematics , real time computing , economics , business , statistics , medicine , business administration , schedule , medical emergency , economic growth , operating system

Grain transportation plays an important role in many relief and emergency supply chains. In this paper, we take the grain emergency vehicle scheduling model between multiwarehouses as the research object. Under the emergency environment, the aim of the problem is to maximize the utilization of vehicles and minimize the delay time. The randomness of the key parameters in grain emergency vehicle scheduling, such as time and demand, is determined through statistical analysis and the model is solved through robust optimization method. Besides, we apply the numerical examples for experimental analysis. We compare the robust optimization model with classic model to illustrate the differences and similarities between them. The results show that the uncertainty of both time and demand has great influence on the efficiency of grain emergency vehicle scheduling problem

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