DocumentCode
3513020
Title
New shifting method for job shop scheduling subject to invariant constraints of resources availability
Author
Yahyaoui, A. ; Fnaiech, N. ; Fnaiech, F.
Author_Institution
Res. Team in Signal, Image & Intell. Control of Ind. Processes (SICISI), ESSTT, Tunis, Tunisia
fYear
2009
fDate
3-5 Nov. 2009
Firstpage
3387
Lastpage
3392
Abstract
In most machines scheduling models we assume that the machines are available all the time. However, in many realistic situations, machines need to be maintained and hence may become unavailable during a certain period. Indeed preventive maintenance (PM) is a vital activity in production workshops in order to eliminate risks associated with machine breakdowns. This paper deals with a heuristic algorithm based on new shifting method for solving the makespan of a nonresumable job shop scheduling problem while the resources are unavailable in some time periods. The starting times and durations of these availabilities are known in advance and fixed. The proposed method has been successfully tested on some experimental benchmarks and it is concluded that the idea can allows a satisfactory resolution of relatively important problem in a reasonable time and can be tested even to n-dimensional problems as well.
Keywords
constraint theory; job shop scheduling; optimisation; preventive maintenance; single machine scheduling; heuristic algorithm; invariant constraints; machine breakdowns; machines scheduling model; nonresumable job shop scheduling problem; preventive maintenance; production workshops; resources availability; shifting method; Availability; Costs; Electric breakdown; Job shop scheduling; Laboratories; Preventive maintenance; Production; Scheduling algorithm; Single machine scheduling; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Electronics, 2009. IECON '09. 35th Annual Conference of IEEE
Conference_Location
Porto
ISSN
1553-572X
Print_ISBN
978-1-4244-4648-3
Electronic_ISBN
1553-572X
Type
conf
DOI
10.1109/IECON.2009.5415368
Filename
5415368
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