Name
Title | ||
|---|---|---|
Two-objective stochastic flow-shop scheduling with deteriorating and learning effect in Industry 4.0-based manufacturing system. |
Abstract | ||
|---|---|---|
•Propose a novel flow-shop scheduling model with consideration of multiple objectives, uncertainty, deteriorating and learning effect.•Develop a novel multiobjective discrete fireworks optimization algorithm to solve the model above.•Validate the performance of the proposed model and algorithm. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.asoc.2017.12.009 | Applied Soft Computing |
Keywords | Field | DocType |
Industry 4.0,Flow-shop scheduling,Multi-objective optimization,Uncertainty,Time-dependent processing time | Learning effect,Mathematical optimization,Manufacturing,Job shop scheduling,Manufacturing systems,Flow shop scheduling,Integer programming,Optimization algorithm,Industry 4.0,Mathematics | Journal |
Volume | ISSN | Citations |
68 | 1568-4946 | 16 |
PageRank | References | Authors |
0.57 | 25 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yaping Fu | 1 | 69 | 4.41 |
| Jinliang Ding | 2 | 284 | 28.96 |
| Hongfeng Wang | 3 | 52 | 3.70 |
| Junwei Wang | 4 | 539 | 35.52 |