Single-machine batch delivery scheduling with an assignable common due window

被引:73
|
作者
Yin, Yunqiang [2 ,3 ]
Cheng, T. C. E. [4 ]
Hsu, Chou-Jung [5 ]
Wu, Chin-Chia [1 ]
机构
[1] Feng Chia Univ, Dept Stat, Taichung 40724, Taiwan
[2] E China Inst Technol, State Key Lab Breeding Base Nucl Resources & Envi, Nanchang 330013, Peoples R China
[3] E China Inst Technol, Sch Sci, Fuzhou 344000, Jiangxi, Peoples R China
[4] Hong Kong Polytech Univ, Dept Logist & Maritime Studies, Kowloon, Hong Kong, Peoples R China
[5] Nan Kai Univ Technol, Dept Ind Engn & Management, Nan Tou 542, Taiwan
来源
关键词
Scheduling; Due window assignment; Batch delivery; DUE-DATE ASSIGNMENT; TARDINESS PENALTIES; WEIGHTED NUMBER; TARDY JOBS; EARLINESS; LOCATION; MAINTENANCE; MINIMIZE;
D O I
10.1016/j.omega.2012.06.002
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
This paper addresses a batch delivery single-machine scheduling problem in which jobs have an assignable common due window. Each job will incur an early (tardy) penalty if it is early (tardy) with respect to the common due window under a given schedule. There is no capacity limit on each delivery batch, and the cost per batch delivery is fixed and independent of the number of jobs in the batch. The objective is to find the optimal size and location of the window, the optimal dispatch date for each job, as well as an optimal job sequence to minimize a cost function based on earliness, tardiness, holding time, window location, window size, and batch delivery. We show that the problem can be optimally solved in O(n(8)) time by a dynamic programming algorithm under a reasonable assumption on the relationships among the cost parameters. A computational experiment is also conducted to evaluate the performance of the proposed algorithm. We also show that some special cases of the problem can be optimally solved by lower order algorithms. (C) 2012 Elsevier Ltd. All rights reserved.
引用
收藏
页码:216 / 225
页数:10
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