Classical stock cutting calls for fulfilling a given demand of parts minimizing raw material needs. With the production of each part type regarded as a job due within a specific date, a problem arises of scheduling cutting operations. We here propose an exact integer linear programming formulation, and develop primal heuristics, upper bounds and an implicit enumeration scheme. A computational experience carried out for the one-dimensional problem shows that our primal heuristics outperform known ones, and that the formulation has good features for finding exact solutions of non-trivial instances.
Titolo: | On Cutting Stock with Due Dates |
Autori: | |
Data di pubblicazione: | 2014 |
Rivista: | |
Abstract: | Classical stock cutting calls for fulfilling a given demand of parts minimizing raw material needs. With the production of each part type regarded as a job due within a specific date, a problem arises of scheduling cutting operations. We here propose an exact integer linear programming formulation, and develop primal heuristics, upper bounds and an implicit enumeration scheme. A computational experience carried out for the one-dimensional problem shows that our primal heuristics outperform known ones, and that the formulation has good features for finding exact solutions of non-trivial instances. |
Handle: | http://hdl.handle.net/11697/9708 |
Appare nelle tipologie: | 1.1 Articolo in rivista |
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