Abstract
In this chapter we discuss the locomotive fueling problem (LFP) which is a critical problem in the operation of railroads using diesel locomotives. We describe three different algorithms, two based on greedy method and one using a MIP model to find a fueling plan for the various trains to minimize the total cost of fueling the locomotives. It is a case study, based on a simplified real problem constructed and set up for the “Problem Solving Competition 2010” organized by the RAS (Railway Applications Society) of the professional society INFORMS.
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Murty, K. G. (1994). Operations research: Deterministic optimization models. Englewood Cliffs: Prentice Hall.
Murty, K. G. (2010). Optimization for decision making: Linear and quadratic models. Springer 2010, ISBN 0884–8289.
Railway Applications Section (RAS) of INFORMS. Problem Solving Competition-2010. http://www.informs.org/Community/RAS/Problem-Solving-Competition/2010-RAS-Competition. Accessed 7 Nov 2011.
Railway Applications Section (RAS) of INFORMS. RAS-2010-ProblemSolvingCompetition (PDF file) downloaded from INFORMS website. http://www.informs.org/content/download/188885/1887915/file/RAS-2010-ProblemSolvingCompetition.pdf. Accessed 7 Nov 2011.
Acknowledgments
We thank RAS of INFORMS, and Kamlesh Somani, Juan C Morales for permission to use this problem as a case study problem for this chapter and for agreeing to maintain the statement of the problem for future readers at the site mentioned in [3]. This problem specified by the data sets here can be used as a classroom project problem illustrating the usefulness of the greedy method in real world applications.
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Nag, B., Murty, K.G. (2015). Diesel Locomotive Fueling Problem (LFP) in Railroad Operations. In: Murty, K. (eds) Case Studies in Operations Research. International Series in Operations Research & Management Science, vol 212. Springer, New York, NY. https://doi.org/10.1007/978-1-4939-1007-6_2
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DOI: https://doi.org/10.1007/978-1-4939-1007-6_2
Publisher Name: Springer, New York, NY
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