DocumentCode :
612854
Title :
Polynomially solvable cases for scheduling deteriorating jobs with rejection
Author :
Ming Liu ; Chengbin Chu
Author_Institution :
Sch. of Econ. & Manage., Tongji Univ., Shanghai, China
fYear :
2013
fDate :
10-12 April 2013
Firstpage :
318
Lastpage :
321
Abstract :
This paper considers the problem of scheduling proportionally deteriorating jobs with rejection on a single machine. Deteriorating job means that its actual processing time is a increasing function on its execution starting time. In this setting, jobs can be rejected by paying penalties. The objective is to minimize the makespan plus the total penalty incurred by rejecting jobs. It is known that this problem is NP-hard [13]. We show some polynomial-time solvable cases and propose the corresponding algorithm. Then we explore an modified criterion which can be solved polynomially.
Keywords :
computational complexity; single machine scheduling; NP-hard problem; deteriorating job scheduling; execution starting time; polynomial-time solvable case; single machine scheduling; Europe; Job shop scheduling; Optimal scheduling; Processor scheduling; Schedules; Single machine scheduling;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Networking, Sensing and Control (ICNSC), 2013 10th IEEE International Conference on
Conference_Location :
Evry
Print_ISBN :
978-1-4673-5198-0
Electronic_ISBN :
978-1-4673-5199-7
Type :
conf
DOI :
10.1109/ICNSC.2013.6548757
Filename :
6548757
Link To Document :
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