Abstract
Project selection and the prioritization of activities are configured as classical optimization problems, and one of the most commonly used techniques to solve this kind of problem is Goal Programming (GP), a multi-criteria analysis technique. Problems related to the prioritization of railway investment selection or maintenance processes involve goals and constraints such as budget constraints, the availability of labour and resources, and the degradation of permanent track materials. This chapter presents two applications of Goal Programming in railways. The first model selects projects for a railway-sustaining investment portfolio. The second model allows for the prioritization of railway superstructure maintenance based on the maintenance demand for components and the geometric, environmental and demographic characteristics of a railway. Defining the best investment portfolio or a proper maintenance strategy are essential tasks for railway sustainability to achieve long-term goals involving multiple, often immeasurable and conflicting, objectives. The results show that these two proposed models allow for the prioritization of goals defined as the most important and proved useful in the presentation of scenarios that facilitate the choice of investment portfolio or superstructure maintenance strategy.
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Notes
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Brazilian Transport Agency (Agência Nacional de Transportes Terrestres – ANTT).
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Part of these studies were funded by FAPES Nº 04/2015
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Del Caro Daher, P.H., de Moura, D.F., de Morais Neto, G.C., da Costa Cruz, M.M., Cardoso, P.A. (2020). Sustainable Railway Solutions Using Goal Programming. In: Marinov, M., Piip, J. (eds) Sustainable Rail Transport. Lecture Notes in Mobility. Springer, Cham. https://doi.org/10.1007/978-3-030-19519-9_4
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