Abstract
We introduce, model and solve to optimality a rich multi-product, multi-period and multi-compartment vehicle routing problem with a required compartment cleaning activity. This real-life application arises in the olive oil collection process in Tunisia, where regional collection offices dispose of a fleet of vehicles to collect one or several grades of olive oil from a set of producers. For each grade, the quantity offered by a producer changes dynamically over the planning horizon. We first provide a mathematical formulation of the problem, along with a set of known and new valid inequalities. We then propose an exact branch-and-cut algorithm to solve the problem. We evaluate the performance of the algorithm on real data sets under different transportation scenarios to demonstrate to our industrial partner the advantages of using multi-compartment vehicles.
Original language | English |
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Pages (from-to) | 1-10 |
Number of pages | 10 |
Journal | Omega (United Kingdom) |
Volume | 51 |
DOIs | |
Publication status | Published - 1 Mar 2015 |
Funding
This work was partially supported by the International Campus on Safety and Intermodality in Transportation, the Nord–Pas-de-Calais Region, the European Community, the Regional Delegation for Research and Technology, the French Ministry of Higher Education and Research and the National Center for Scientific Research . The internship of the first author in CIRRELT was partly supported by the University Lille Nord de France and Fondation Centrale Initiatives . This work was partly supported by the Natural Sciences and Engineering Research Council of Canada (NSERC) under Grant 39682-10 . This support is gratefully acknowledged. We also thank Calcul Québec for providing computing facilities. We thank our contact persons at the offices of our Tunisian partner and two anonymous referees who provided valuable comments.
Keywords
- Branch-and-cut
- Incompatible products
- Valid inequalities
- Vehicle routing with compartments
ASJC Scopus subject areas
- Strategy and Management
- Management Science and Operations Research
- Information Systems and Management