DocumentCode :
1102298
Title :
Resource optimal control in some single-machine scheduling problems
Author :
Cheng, T.C.E. ; Janiak, A.
Author_Institution :
Dept. of Manage., Hong Kong Polytech., Kowloon, Hong Kong
Volume :
39
Issue :
6
fYear :
1994
fDate :
6/1/1994 12:00:00 AM
Firstpage :
1243
Lastpage :
1246
Abstract :
We consider a problem to schedule a set of jobs on a single machine under the constraint that the maximum job completion time does not exceed a given limit. Before a job is released for processing, it must undergo some preprocessing treatment which consumes resources. It is assumed that the release time of a job is a positive strictly decreasing continuous function of the amount of resources consumed. The objective is to minimize the total resource consumption. We show that ordering jobs in nonincreasing processing times yields an optimal solution. We then consider a bicriterion approach to the problem in which the maximum job completion time and the resource consumption are simultaneously minimized and present a polynomial time solution algorithm. Finally, we consider a related problem in which the job release times are given but the processing times are functions of the amount of resource consumed. We show that ordering jobs in nondecreasing release times gives an optimal solution and that the problem to minimize both the maximum completion time and resource consumption is polynomially solvable
Keywords :
computational complexity; optimisation; production control; resource allocation; bicriterion approach; job scheduling; maximum job completion time; polynomial time solution; production control; resource consumption minimisation; resource optimal control; single machine scheduling; Councils; Cybernetics; Inverse problems; Job shop scheduling; Optimal control; Polynomials; Production; Resource management; Single machine scheduling; Steel;
fLanguage :
English
Journal_Title :
Automatic Control, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9286
Type :
jour
DOI :
10.1109/9.293187
Filename :
293187
Link To Document :
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