TY - JOUR
T1 - Multitasking scheduling problems with a common due-window
AU - Xu, Chen
AU - Xu, Yinfeng
AU - Zheng, Feifeng
AU - Liu, Ming
N1 - Publisher Copyright:
© The authors. Published by EDP Sciences, ROADEF, SMAI 2021.
PY - 2021/5/1
Y1 - 2021/5/1
N2 - We study multitasking scheduling and due-window assignment problems in a single machine, which can be found in various application domains. In multitasking environment, unfinished job always interrupts in-processing job. In common due window assignment, the aim is to find optimal due window to minimise the value of the earliness and tardiness penalty. In this paper, we study two problems, where the objective of the first problem is minimise the earliness, tardiness, due-window starting time, and due-window size costs, the objective of the second problem is minmax common due-date with completion time penalty, then we obtain some analytical properties and provide polynomial time solutions. Finally, the experimental results show that the proposed methods are effective.
AB - We study multitasking scheduling and due-window assignment problems in a single machine, which can be found in various application domains. In multitasking environment, unfinished job always interrupts in-processing job. In common due window assignment, the aim is to find optimal due window to minimise the value of the earliness and tardiness penalty. In this paper, we study two problems, where the objective of the first problem is minimise the earliness, tardiness, due-window starting time, and due-window size costs, the objective of the second problem is minmax common due-date with completion time penalty, then we obtain some analytical properties and provide polynomial time solutions. Finally, the experimental results show that the proposed methods are effective.
KW - Assignment problem
KW - Due-window
KW - Earliness-Tardiness
KW - Minmax
KW - Multitasking scheduling
UR - https://www.scopus.com/pages/publications/85110787836
U2 - 10.1051/ro/2021079
DO - 10.1051/ro/2021079
M3 - 文章
AN - SCOPUS:85110787836
SN - 2804-7303
VL - 55
SP - 1787
EP - 1798
JO - RAIRO - Operations Research
JF - RAIRO - Operations Research
IS - 3
ER -