Article ID: | iaor20072484 |
Country: | United Kingdom |
Volume: | 33 |
Issue: | 9 |
Start Page Number: | 2667 |
End Page Number: | 2702 |
Publication Date: | Sep 2006 |
Journal: | Computers and Operations Research |
Authors: | Bodin Lawrence, Mingozzi Aristide, Baldacci Roberto |
Keywords: | programming: integer, vehicle routing & scheduling, location |
In the multiple disposal facilities and multiple inventory locations rollon–rolloff vehicle routing problem (M-RRVRP), one of the very important pickup and disposal problems in the sanitation industry, tractors move large trailers, one at a time, between customer locations such as construction sites and shopping centers, disposal facilities and inventory locations. In this paper, we model the M-RRVRP as a time constrained vehicle routing problem on a multigraph (TVRP-MG). We then formulate the TVRP-MG as a set partitioning problem with an additional constraint and describe an exact method for solving the TVRP-MG. This exact method is based on a bounding procedure that combines three lower bounds derived from different relaxations of the formulation of the problem. Further, we obtain a valid upper bound and show how this bounding procedure can transform the solution of a Lagrangean lower bound into a feasible solution. Our computational results show that the proposed method is very effective in deriving an optimal or near optimal solution to the M-RRVRP in a reasonable amount of computing time. Since the capacitated vehicle routing problem (CVRP) can be transformed into a TVRP-MG, we tested our procedure on 11 instances of the CVRP. Our computational results show that our procedure very effectively found the optimal solution to 7 of the 11 instances of the CVRP. In many cases, our procedure was at least 10 times faster than the procedure proposed by Fukasawa