A single machine scheduling problem with two-dimensional vector packing constraints
Jean-Charles Billaut,
Federico Della Croce and
Andrea Grosso
European Journal of Operational Research, 2015, vol. 243, issue 1, 75-81
Abstract:
We consider a scheduling problem where jobs consume a perishable resource stored in vials. It leads to a new scheduling problem, with two-dimensional jobs, one dimension for the duration and one dimension for the consumption. Jobs have to be finished before a given due date, and the objective is to schedule the jobs on a single machine so that the maximum lateness does not exceed a given threshold and the number of vials required for processing all the jobs is minimized. We propose a two-step approach embedding a Recovering Beam Search algorithm to get a good-quality initial solution reachable in short time and a more time consuming matheuristic algorithm. Computational experiments are performed on the benchmark instances available for the two-dimensional vector packing problem integrated with additional due dates to take into account the maximum lateness constraints. The computational results show very good performances of the proposed approach that remains effective also on the original two-dimensional vector packing instances without due dates where 7 new bounds are obtained.
Keywords: Scheduling; Two-dimensional vector packing; Recovering beam search; Matheuristics (search for similar items in EconPapers)
Date: 2015
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Citations: View citations in EconPapers (6)
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Persistent link: https://EconPapers.repec.org/RePEc:eee:ejores:v:243:y:2015:i:1:p:75-81
DOI: 10.1016/j.ejor.2014.11.036
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European Journal of Operational Research is currently edited by Roman Slowinski, Jesus Artalejo, Jean-Charles. Billaut, Robert Dyson and Lorenzo Peccati
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