DocumentCode
2611011
Title
Scheduling performance evaluation in hybrid production environments
Author
Wang, W.P.
Author_Institution
Nat. Chin-Yi Univ. of Technol., Taichung
fYear
2007
fDate
2-4 Dec. 2007
Firstpage
1143
Lastpage
1147
Abstract
The configurations inside firms are most often neither pure flow-shop nor pure job-shop in practice. A scheduling performance evaluation is proposed to extend and integrate several ideas into a research framework where results can be referred to real-world manufacturing situations. The investigation therefore composes in which some of simple and popular scheduling rules are examined in hybrid shops comprising both job-shop and flow-shop. The average flow time is specifically the principle performance measure taken into account to estimate how closely the rules accomplish jobs relative to their due dates. The research effect indicated that the SPT rule is oftentimes preferred to cater for customers´ requests and CR is of a kind to the contrary. In addition, this paper supplies a basis for extending the conclusions beyond the boundaries of the specific scenario presented with some believability. Regarding the computational results the approach has the potential to be applied to practical hybrid manufacturing systems and can probably obtain desirable performance by using either of these rules as the basis while using some of the very elementary rules researched over years in considerably unrealistic operations research models.
Keywords
job shop scheduling; manufacturing systems; flow-shop; hybrid manufacturing systems; hybrid production environments; hybrid shops; job-shop; scheduling performance evaluation; Environmental management; Industrial engineering; Job production systems; Job shop scheduling; Manufacturing systems; Production management; Production planning; Production systems; Routing; Technology management; Hybrid environment; average flow time; performance; scheduling rules; simulation;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Engineering and Engineering Management, 2007 IEEE International Conference on
Conference_Location
Singapore
Print_ISBN
978-1-4244-1529-8
Electronic_ISBN
978-1-4244-1529-8
Type
conf
DOI
10.1109/IEEM.2007.4419371
Filename
4419371
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