DocumentCode :
2601044
Title :
On the assignment problem of arbitrary processing time operations in partially overlapping manufacturing resources
Author :
Ghonaim, W. ; Ghenniwa, H. ; Shen, W.
Author_Institution :
Dept. of Electr. & Comput. Eng., Western Univ., London, ON, Canada
fYear :
2012
fDate :
20-24 Aug. 2012
Firstpage :
341
Lastpage :
346
Abstract :
The frequent transfers´ challenge of workpieces between multiple resources is quite evident in the production process of customized parts. In fact, special jobs´ transfers and processing, often, require workpiece unloading, transport and loading with, rather, idling and reconfiguration of resources that impact much job completion time and resource utilization. The overlapping capabilities of machine tools, otherwise, are common with, typically, few special tooling. In such settings, the overlapping and special tooling capabilities intensify the complexity of the assignment problem, mainly, when allocating the operations of arbitrary processing times. This work targets the efficient assignment of unrelated jobs of operations with arbitrary processing time to multiple resources of partially overlapping capabilities. The work introduces a formal model and a more efficient solution approach for minimizing jobs´ transfer and balancing workloads. The sequencing problem of the assigned unrelated jobs would be, then, an orthogonal problem, of less significance, that can be tackled separately.
Keywords :
job shop scheduling; machine tools; manufacturing resources planning; resource allocation; arbitrary processing time operations; assignment problem complexity; balancing workloads; customized parts production process; formal model; frequent transfers challenge; job completion time; job processing; job transfer minimization; machine tools; operation allocation; orthogonal problem; partially overlapping capabilities; partially overlapping manufacturing resources; resource utilization; resources reconfiguration; special tooling capabilities; workpiece unloading; Complexity theory; Dispatching; Heuristic algorithms; Job shop scheduling; Loading; Resource management; Schedules;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Automation Science and Engineering (CASE), 2012 IEEE International Conference on
Conference_Location :
Seoul
ISSN :
2161-8070
Print_ISBN :
978-1-4673-0429-0
Type :
conf
DOI :
10.1109/CoASE.2012.6386373
Filename :
6386373
Link To Document :
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