Name
Title | ||
|---|---|---|
Integrated scheduling for a distributed manufacturing system: a stochastic multi-objective model. |
Abstract | ||
|---|---|---|
This study investigates and studies an integrated scheduling problem in a distributed manufacturing system that comprises multiple distributed factories, each of which has one independent flow shop with different numbers of serial machines. A stochastic multi-objective model is built with consideration of two criteria of scheduling and uncertainties of the operation process. A multi-objective brain storm optimization algorithm is designed to solve the model. Through a comparison with two state-of-the-art multi-objective algorithms, the experimental results indicate that the proposed model is effective, and the proposed algorithm can achieve satisfactory performance. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1080/17517575.2018.1545160 | ENTERPRISE INFORMATION SYSTEMS |
Keywords | Field | DocType |
Distributed manufacturing,integrated operation process,scheduling,stochastic multi-objective scheduling,brain storm optimization | Data mining,Job shop scheduling,Scheduling (computing),Computer science,Flow shop scheduling,Distributed manufacturing,Optimization algorithm,Distributed computing | Journal |
Volume | Issue | ISSN |
13.0 | SP4 | 1751-7575 |
Citations | PageRank | References |
2 | 0.36 | 35 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yaping Fu | 1 | 14 | 2.54 |
| Hongfeng Wang | 2 | 52 | 3.70 |
| Min Huang | 3 | 56 | 19.15 |