Nesting problem: novel models and algorithms to new applications
A solution method for the irregular strip-packing problem integrated to the cuttin...
| Full text | |
| Author(s): |
Toledo, Franklina M. B.
[1]
;
Carravilla, Maria Antonia
[2]
;
Ribeiro, Cristina
[3]
;
Oliveira, Jose F.
[2]
;
Gomes, A. Miguel
[2]
Total Authors: 5
|
| Affiliation: | [1] Univ Sao Paulo, Inst Ciencias Matemat & Comp, BR-13560970 Sao Carlos, SP - Brazil
[2] Univ Porto, Fac Engn, INESC, TEC, P-4200465 Oporto - Portugal
[3] Univ Porto, INESC, TEC, DEI, FAC Engn, P-4200465 Oporto - Portugal
Total Affiliations: 3
|
| Document type: | Journal article |
| Source: | INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS; v. 145, n. 2, p. 478-487, OCT 2013. |
| Web of Science Citations: | 28 |
| Abstract | |
The nesting problem, also known as irregular packing problem, belongs to the generic class of cutting and packing (C\&P) problems. It differs from other 2-D C\&P problems in the irregular shape of the pieces. This paper proposes a new mixed-integer model in which binary decision variables are associated with each discrete point of the board (a dot) and with each piece type. It is much more flexible than previously proposed formulations and solves to optimality larger instances of the nesting problem, at the cost of having its precision dependent on board discretization. To date no results have been published concerning optimal solutions for nesting problems with more than 7 pieces. We ran computational experiments on 45 problem instances with the new model, solving to optimality 34 instances with a total number of pieces ranging from 16 to 56, depending on the number of piece types, grid resolution and the size of the board. A strong advantage of the model is its insensitivity to piece and board geometry, making it easy to extend to more complex problems such as non-convex boards, possibly with defects. Additionally, the number of binary variables does not depend on the total number of pieces but on the number of piece types, making the model particularly suitable for problems with few piece types. The discrete nature of the model requires a trade-off between grid resolution and problem size, as the number of binary variables grows with the square of the selected grid resolution and with board size. (C) 2013 Elsevier B.V. All rights reserved. (AU) | |
| FAPESP's process: | 10/10133-0 - Cutting, packing, lot-sizing and scheduling problems and their integration in industrial and logistics settings |
| Grantee: | Reinaldo Morabito Neto |
| Support Opportunities: | Research Projects - Thematic Grants |
| FAPESP's process: | 12/00464-4 - Models and resolution methods for the nesting problem |
| Grantee: | Franklina Maria Bragion de Toledo |
| Support Opportunities: | Research Grants - Visiting Researcher Grant - International |