A double-layered optimisation approach for the integrated due date assignment and scheduling problem
A double-layered optimisation approach for the integrated due date assignment and scheduling problem
复制标题
综合到期日分配和调度问题的双层优化方法
DOI:
10.1080/00207543.2011.571440
复制
发表时间:
2012-01
影响因子:
9.2
通讯作者:
张瑞
中科院分区:
文献类型:
--
作者:
张瑞
As the market competition becomes fiercer, contemporary make-to-order firms are confronted with both due date quotation and production scheduling problems at the same time. On the one hand, in order to attract customers, the firm needs to quote a short lead time; on the other hand, once a due date has been promised, the firm must spare no effort to deliver the goods no later than this date. If due date assignment and shop scheduling are processed separately by two systems, the overall performance is unlikely to be satisfactory because the two tasks are actually interrelated (e.g. a tighter due date setting will increase the chances of tardiness despite its appeal for the incoming customer). Therefore, we consider the problem by integrating due date assignment and shop scheduling into one optimisation model. A double-layered heuristic optimisation algorithm is presented for solving this problem. In the upper-layer genetic algorithm which performs coarse-granularity optimisation, Bayesian networks are used to learn the distribution of optimal due date values. As the second-layer algorithm, a parameter perturbation method is applied for a finer-granularity neighbourhood search. Computational experiments prove the efficacy and efficiency of the proposed algorithm.
登录
查看更多内容
影响因子:
8.3
作者:
P. Chang;Jih-Chang Hieh;T. Warren Liao
通讯作者:
P. Chang;Jih-Chang Hieh;T. Warren Liao
DOI:
10.1007/bf01721162
发表时间:
1989-03
期刊:
Operations-Research-Spektrum
影响因子:
--
作者:
R. Haupt
通讯作者:
R. Haupt
DOI:
10.1007/bf01539799
发表时间:
1997-03
期刊:
Operations-Research-Spektrum
影响因子:
--
作者:
P. Brucker;Svetlana A. Kravchenko;Y. Sotskov
通讯作者:
P. Brucker;Svetlana A. Kravchenko;Y. Sotskov
DOI:
10.1504/ijise.2008.017421
发表时间:
2008-03
影响因子:
--
作者:
A. Baykasoğlu;M. Göçken;Zeynep D. Unutmaz
通讯作者:
A. Baykasoğlu;M. Göçken;Zeynep D. Unutmaz
影响因子:
9.2
作者:
R. Zhou;A. Nee;H.P. Lee
通讯作者:
R. Zhou;A. Nee;H.P. Lee