Adaptive Genetic Hybrids for Order Review and Release into Production

Over recent years order review and release (ORR) has attracted increasing attention in manufacturing research due to its important impact on production performance. By means of effectively controlling the rate of input of jobs into the production system, in fact, the sustainability of feasible and e...

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Bibliographic Details
Main Author: Orsoni, A.
Format: Conference Proceeding
Language:English
Subjects:
Adaptive genetic hybrids
complex production systems
Computational modeling
Control systems
Costs
Decision support systems
Genetics
hybrid decision support systems
Job production systems
order review and release
Production systems
Resource management
simulation
Testing
Virtual manufacturing
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Summary:Over recent years order review and release (ORR) has attracted increasing attention in manufacturing research due to its important impact on production performance. By means of effectively controlling the rate of input of jobs into the production system, in fact, the sustainability of feasible and economical production levels can be significantly enhanced. In this context of research the paper proposes a hybrid decision support system (DSS) to address the simultaneous review of multiple incoming orders and, thereby, support better informed acceptance and rejection decisions. The DSS, as developed for this research, relies on the interactive use of simulation and adaptive genetic hybrids, integrating local and global search techniques, to identify the combination of accepted orders that maximizes production performance while reducing the risk of accepting sub-optimal combinations
ISSN:1541-1672
1941-1294
DOI:10.1109/IS.2006.348521