摘要
研究了钢铁企业冷轧原料库中的吊机调度问题.将吊机的运输和倒垛操作集成考虑,目标函数为将全部需求板卷运输到指定位置的时间最小化.对于该问题,首先提出了一个混合整规划模型,进一步证明了该问题是强NP难的.基于对问题性质的分析,针对无倒垛操作的特殊情况,提出了多项式时间可解的最优算法.对于问题的一般情况,提出了一个启发式算法并分析了它的最坏情况.
The crane scheduling problem which is motivated by cooled-rolling material warehouse in iron and steel enterprise is studied. Considering the transportation and shifting simultaneously, the objective function is to minimize the time of transporting all demand coils to a specified location. For this problem, a mixed integer programming model is proposed, which further proofs that the problem is strongly NP-hard. Based on some analytical properties, a polynomial-time optimal algorithmis proposed for solving a special case that no shuffling operation happens, and furthermore a heuristic algorithm is developed for solving general case, respectively. The performance is analyzed from worst-case point of view.
出处
《沈阳大学学报(自然科学版)》
CAS
2014年第2期159-165,共7页
Journal of Shenyang University:Natural Science
基金
国家自然科学基金资助项目(71201104)
关键词
吊机调度
仓库
强NP难
启发式
最坏情况分析
crane scheduling
warehouse
strongly NP-hard
heuristics
worst-case analysis