http://www.cnr.it/ontology/cnr/individuo/prodotto/ID204712
Job Shop Scheduling with Routing Flexibility and Sequence-Dependent Setup Times (Contributo in atti di convegno)
- Type
- Label
- Job Shop Scheduling with Routing Flexibility and Sequence-Dependent Setup Times (Contributo in atti di convegno) (literal)
- Anno
- 2011-01-01T00:00:00+01:00 (literal)
- Alternative label
Oddi, Angelo [1]; Rasconi, Riccardo [1]; Cesta, Amedeo [1]; Smith, Stephen F. [2] (2011)
Job Shop Scheduling with Routing Flexibility and Sequence-Dependent Setup Times
in 18th RCRA International Workshop on "Experimental Evaluation of Algorithms for solving problems with combinatorial explosion" (RCRA 2011), Barcelona, Spain, 17-18 July 2011
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- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
- Oddi, Angelo [1]; Rasconi, Riccardo [1]; Cesta, Amedeo [1]; Smith, Stephen F. [2] (literal)
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- ID_PUMA: cnr.istc/2011-A2-049 (literal)
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- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
- [1] CNR-ISTC, Roma1-SanMartino; [2] CMU - Carnegie Mellon University, Robotics Institute (literal)
- Titolo
- Job Shop Scheduling with Routing Flexibility and Sequence-Dependent Setup Times (literal)
- Abstract
- This paper presents a meta-heuristic algorithm for solving a job shop scheduling problem involving both sequence dependent setup-times and the possibility of selecting alternative routes among the available machines. The proposed strategy is a variant of the Iterative Flattening Search (IFS ) schema. This work provides three separate results: (1) a constraint-based solving procedure that extends an existing approach for classical Job Shop Scheduling; (2) a new variable and value ordering heuristic based on temporal flexibility that take into account both sequence dependent setup-times and flexibility in machine selection; (3) an original relaxation strategy based on the idea of randomly breaking the execution orders of the activities on the machines with a activity selection criteria based on their proximity to the solution's critical path. The efficacy of the overall heuristic optimization algorithm is demonstrated on a new benchmark set which is an extension of a well-known and difficult benchmark for the Flexible Job Shop Scheduling Problem. (literal)
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