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dc.contributor.authorNag, Bodhibrata
dc.contributor.authorMurty, Katta G.
dc.descriptionBodhibrata Nag, Department of Operations Management, Indian Institute of Management Calcutta, Kolkata; Katta G. Murty, IOE, University of Michigan, Ann Arbor, MI 48109-2117, USA
dc.descriptionDOI - 10.1007/s12597-012-0082-5
dc.description.abstractAbout 75 % of the world�s railroads operate with diesel fuel. Even though European railroads rely on electric traction to a large extent, US railroads rely mostly on diesel fuel (100 % of US freight is hauled by diesel locomotives). Like in other industries there is intense competition to keep costs low; and in railroad operations based on diesel locomotives, the cost of fuel and its delivery is the major component of the overall cost. Since the cost of fuel is highly location dependent (due to local taxes and transportation costs between supply and demand points), locomotive fueling problem discussed in this paper is a critical problem in railroad operations. Given: the set of yards, the set of trains to operate, the locomotive assignments to trains, and the fuel cost and capacity data; this problem deals with finding the fueling plan for the various trains to minimize the total cost of fueling the locomotives. We describe three different algorithms, two based on greedy method and one using MIP model, that we used to solve this problem and highlight the summary of solutions obtained by each of them for comparisons of these algorithms.
dc.subjectGreedy method
dc.subjectRailroad applications
dc.subjectMIP modeling
dc.titleDiesel locomotive fueling problem (LFP) in railroad operations
Appears in Collections:Operations Management

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