Name
Abstract | ||
|---|---|---|
For the purpose of simplifying the procedure of part task distribution and improve the quality of scheduling, a new manufacturing resources organization model based virtual manufacturing cells (VMCs) is proposed, it is formularized as 4-tuple {machine, subsidiary tools, process capability, machine Status}. Then, the procedure of VMCs formation is divided into two phases: resource selection and resource cluster. Finally, to solve the resource selection problem, a multi-objective cooperative co-evolutionary algorithm (MOCCEA) is employed and a multi-objective optimization problem model is constructed, the model is aimed to maximize the sum of processing routes' similarity coefficient, minimize the total cost and time of transportation, and minimize the machine loading unbalance. A case has shown that the algorithm possessed good prospects of application in resource selection for VMCs formation. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/ICDIM.2009.5356773 | 2009 FOURTH INTERNATIONAL CONFERENCE ON DIGITAL INFORMATION MANAGEMENT |
Keywords | Field | DocType |
evolutionary computation,minimisation,process capability,decision support systems,evolutionary algorithm,scheduling,data mining | Process capability,Mathematical optimization,Cellular manufacturing,Computer science,Scheduling (computing),Decision support system,Evolutionary computation,Minimisation (psychology),Optimization problem,Total cost | Conference |
Volume | Issue | ISSN |
null | null | null |
Citations | PageRank | References |
0 | 0.34 | 2 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ning Guo | 1 | 351 | 35.26 |
| Tian-guo Jing | 2 | 0 | 0.68 |
| Wen-jian Liu | 3 | 0 | 0.34 |