Name
Abstract | ||
|---|---|---|
In recent years, the ever-rising return streams for repair service have forced the electronics manufacturers to expand their reverse logistics capacities. However, most existing papers on the reverse logistics network design neglected the time sensitivity of the return flows. Moreover, most of these investigations were primarily concerned with the single objective problems of either minimizing the... |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/TEM.2016.2516986 | IEEE Transactions on Engineering Management |
Keywords | Field | DocType |
Reverse logistics,Maintenance engineering,Evolutionary computation,Optimization,Genetic algorithms,Recycling | Mathematical optimization,Evolutionary algorithm,Network planning and design,Reverse logistics,Operations research,Evolutionary computation,Multi-objective optimization,Linear programming,Engineering,Local search (optimization),Genetic algorithm | Journal |
Volume | Issue | ISSN |
63 | 2 | 0018-9391 |
Citations | PageRank | References |
1 | 0.36 | 17 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Shuang Li | 1 | 1 | 0.36 |
| Nengmin Wang | 2 | 69 | 12.60 |
| Tao Jia | 3 | 16 | 2.71 |
| Zhengwen He | 4 | 53 | 5.33 |
| Huigang Liang | 5 | 2114 | 66.80 |