Name
Abstract | ||
|---|---|---|
Abstract This paper considers the cutting stock problem with frustum of cone bars. A multiple objective optimization model is established by taking into account trim loss, the number of cutting patterns and usable leftovers. A decision-making method for solving this cutting stock problem is designed. First, an improved non-dominated sorting heuristic evolutionary algorithm is developed for generating the Pareto non-dominated solutions. Then the weights of the objectives are calculated by combining the subjective methods (subjectively determined by the decision maker) and objective methods (objectively determined by numerical computing). Finally, a multi-attribute decision making method is used for choosing a cutting plan from the Pareto non-dominated solutions. Computational results indicate that the method proposed is feasible. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1007/s12351-015-0221-x | Operational Research |
Keywords | Field | DocType |
Cutting stock,Multi-objective optimization,Multi-attribute decision making,Frustum of cone bars | USable,Mathematical optimization,Heuristic,Economics,Evolutionary algorithm,Frustum,Sorting,Multi-objective optimization,Cutting stock problem,Pareto principle | Journal |
Volume | Issue | ISSN |
17 | 1 | 1866-1505 |
Citations | PageRank | References |
3 | 0.43 | 6 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Lin Liu | 1 | 8 | 1.83 |
| Xin-Bao Liu | 2 | 254 | 26.14 |
| Jun Pei | 3 | 202 | 26.56 |
| Wenjuan Fan | 4 | 15 | 3.30 |
| P. M. Pardalos | 5 | 269 | 45.19 |