Abstract | ||
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AbstractThis paper presents a branch-and-price approach to solve personalized tour-scheduling problems in a multiactivity context. Two formulations are considered. In the first, columns correspond to daily shifts that are modeled with context-free grammars, and tours are assembled in the master problem by means of extra constraints. In the second formulation, columns correspond to tours that are built in a two-phase procedure. The first phase involves the composition of daily shifts; the second assembles those shifts to generate tours using a shortest path problem with resource constraints. Both formulations are flexible enough to allow different start times, lengths, and days-off patterns, as well as multiple breaks and continuity and discontinuity in labor requirements. We present computational experiments on problems dealing with up to five work activities and a one-week planning horizon. The results show that the second formulation is stronger in terms of its lower bound and that it is able to find high-quality solutions for all instances with an optimality gap lower than 1%. |
Year | DOI | Venue |
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2016 | 10.1287/ijoc.2015.0683 | Periodicals |
Keywords | Field | DocType |
multiactivity tour scheduling problem, branch and price, context-free grammars, shortest path problem with resource constraints | Rule-based machine translation,Mathematical optimization,Time horizon,Context-free grammar,Shortest path problem,Upper and lower bounds,Scheduling (computing),Discontinuity (linguistics),Branch and price,Mathematics | Journal |
Volume | Issue | ISSN |
28 | 2 | 1526-5528 |
Citations | PageRank | References |
4 | 0.46 | 17 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
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Maria I. Restrepo | 1 | 4 | 0.46 |
Bernard Gendron | 2 | 688 | 49.92 |
Louis-Martin Rousseau | 3 | 888 | 63.71 |