| dc.contributor.author |
Yildirim, Mehmet Bayram |
|
| dc.contributor.author |
Mouzon, Gilles C. |
|
| dc.date.accessioned |
2012-09-18T18:41:55Z |
|
| dc.date.available |
2012-09-18T18:41:55Z |
|
| dc.date.issued |
2011-11-18 |
|
| dc.identifier.citation |
Yildirim, M. B.; Mouzon, G. "Single-Machine Sustainable Production Planning to Minimize Total Energy Consumption and Total Completion Time Using a Multiple Objective Genetic Algorithm," Engineering Management, IEEE Transactions on , vol.PP, no.99, pp.1-13, 0 |
en_US |
| dc.identifier.issn |
0018-9391 |
|
| dc.identifier.uri |
http://dx.doi.org/10.1109/TEM.2011.2171055 |
|
| dc.identifier.uri |
http://hdl.handle.net/10057/5284 |
|
| dc.description |
Click on the DOI link below to access the article (may not be free). |
en_US |
| dc.description.abstract |
Energy is an expensive resource that is becoming more scarce with increasing population and demand. In this paper, a mathematical model to minimize energy consumption and reduce total completion time of a single machine is proposed, and a multiobjective genetic algorithm is utilized to obtain an approximate set of nondominated alternatives. Furthermore, dominance rules and a heuristic are proposed to increase the speed of the proposed genetic algorithm. Finally, the analytical hierarchical process is utilized to select a solution with some additional criteria. |
en_US |
| dc.description.sponsorship |
This work was supported in
part by the NSF CMMI 0946342 and in part by the Department of Energy under
Grant DE-FG36-08GO88149 and Grant DE-FC36-06GO16075. |
en_US |
| dc.language.iso |
en_US |
en_US |
| dc.publisher |
IEEE Technology Management Council |
en_US |
| dc.relation.ispartofseries |
IEEE Transactions on Engineering Management;vol.PP, no.99 |
|
| dc.subject |
Dominance rules |
en_US |
| dc.subject |
Energy efficient scheduling |
en_US |
| dc.subject |
Green manufacturing |
en_US |
| dc.subject |
Multiple objective genetic algorithm |
en_US |
| dc.subject |
Sustainable engineering |
en_US |
| dc.title |
Single-machine sustainable production planning to minimize total energy consumption and total completion time using a multiple objective genetic algorithm |
en_US |
| dc.type |
Article |
en_US |
| dc.description.version |
Peer reviewed |
|
| dc.rights.holder |
© 2011 IEEE |
|