The fixed-route vehicle-refueling problem is a daily scheduling problem used by truck companies that seeks the best set of refueling stations (truck stops) for a given route. The paper introduces valid inequalities, lower bounds, as well as methods to reduce the number of stops that can be visited directly after a given stop. We show in a comprehensive computational study that our model formulation reduces the average computation times in comparison with a standard MIP formulation by over 78% on average and by 95% for instances with 2000 truck stops. Instances with 2000 truck stops are solved in less than 0.3 s.
机构:
Univ Illinois, 1200 W Harrison St, Chicago, IL 60607 USAUniv Illinois, 1200 W Harrison St, Chicago, IL 60607 USA
Davatgari, Amir
Cokyasar, Taner
论文数: 0引用数: 0
h-index: 0
机构:
Argonne Natl Lab, 9700 S Cass Ave, Lemont, IL 60439 USA
TrOpt R&D, Balcali Mah, TR-01330 Adana, TurkiyeUniv Illinois, 1200 W Harrison St, Chicago, IL 60607 USA
Cokyasar, Taner
Subramanyam, Anirudh
论文数: 0引用数: 0
h-index: 0
机构:
Argonne Natl Lab, 9700 S Cass Ave, Lemont, IL 60439 USA
Penn State Univ, 201 Old Main, University Pk, PA 16802 USAUniv Illinois, 1200 W Harrison St, Chicago, IL 60607 USA
Subramanyam, Anirudh
Larson, Jeffrey
论文数: 0引用数: 0
h-index: 0
机构:
Argonne Natl Lab, 9700 S Cass Ave, Lemont, IL 60439 USAUniv Illinois, 1200 W Harrison St, Chicago, IL 60607 USA
Larson, Jeffrey
Mohammadian, Abolfazl
论文数: 0引用数: 0
h-index: 0
机构:
Univ Illinois, 1200 W Harrison St, Chicago, IL 60607 USAUniv Illinois, 1200 W Harrison St, Chicago, IL 60607 USA