Name
Abstract | ||
|---|---|---|
We present a sequencing problem given on JIT (Just In Time) manufacturing environments, with the objective of minimizing the variation of manufacturing rates (ORV: Output Rate Variation). Specifically, we propose an extension based on requiring to the sequences the preservation of the production mix throughout the products manufacturing. To solve the ORV and the extended problem, we propose algorithms based on BDP (Bounded Dynamic Programming) and we perform two computational experiments based on instances from the literature. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1007/978-3-642-40643-0_26 | ADVANCES IN ARTIFICIAL INTELLIGENCE, CAEPIA 2013 |
Keywords | Field | DocType |
Automobile industry,JIT manufacturing,Sequences,Scheduling algorithms,Dynamic programming,Heuristics | Dynamic programming,Mathematical optimization,Scheduling (computing),Heuristics,Engineering,Bounded function,Automotive industry | Conference |
Volume | ISSN | Citations |
8109 | 0302-9743 | 5 |
PageRank | References | Authors |
0.56 | 3 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Joaquín Bautista | 1 | 345 | 27.50 |
| Alberto Cano | 2 | 269 | 18.88 |
| Rocío Alfaro | 3 | 11 | 1.50 |
| Cristina Batalla | 4 | 25 | 3.84 |