| dc.contributor.author | Andria, Yuvi | |
| dc.contributor.author | Arkeman, Yandra | |
| dc.contributor.author | Gunawan, Hendra | |
| dc.date.accessioned | 2014-01-07T08:37:15Z | |
| dc.date.available | 2014-01-07T08:37:15Z | |
| dc.date.issued | 2009-04 | |
| dc.identifier.issn | 2085-3963 | |
| dc.identifier.uri | http://repository.ipb.ac.id/handle/123456789/66813 | |
| dc.description.abstract | Abstract Genetic Algorithms search the best solutions based on the natural genetic system and the process of evolution. The best solution of Total Supply Chain Cost (TSCC) in agroindustrial supply chain model is solved by genetic algorithms efficiently and effectively. The purposes of this research are : Build the agroindustrial supply chain model based on transportation, inventory, and distribution model; Build a genetic algorithms program to optimize the agroindustrial supply chain model and see the searching efficiency of the best solution with genetic algorithms; Studying and applying genetic algorithms program that has been made for the cocodiesel agroindustrial supply chain. A result of this research shows The GASCM Ver. 1.0 program is very effective and efficient to find the best solutions of TSCC from agroindustrial supply chain model | en |
| dc.language.iso | id | |
| dc.publisher | Forum Biodiesel Indonesia, SBRC LPPM-IPB | |
| dc.relation.ispartofseries | 1;1 | |
| dc.title | Optimization of c ocodiesel supply chain model using genetic algorithms | en |
| dc.type | Article | en |
| dc.subject.keyword | Genetic algorithms | en |
| dc.subject.keyword | TSCC | en |
| dc.subject.keyword | agroindustrial supply chain model | en |
| dc.subject.keyword | coco diesel | en |
