Make-or-Buy Policy Decision in Maintenance Planning for Mobility: A Multi-Criteria Approach

Tommaso Ortalli, Andrea Di Martino (), Michela Longo and Dario Zaninelli
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Tommaso Ortalli: Department of Energy, Politecnico di Milano, 20156 Milan, Italy
Andrea Di Martino: Department of Energy, Politecnico di Milano, 20156 Milan, Italy
Michela Longo: Department of Energy, Politecnico di Milano, 20156 Milan, Italy
Dario Zaninelli: Department of Energy, Politecnico di Milano, 20156 Milan, Italy

Logistics, 2024, vol. 8, issue 2, 1-18

Abstract: Background : The ongoing technical innovation is fully involving transportation sector, converting the usual mass-transit system toward a sustainable mobility. Make-or-buy decision are usually adopted to assess different solutions in terms of costs-benefits to put in place strategic choices regarding in-house production or from an external supplier. This can also be reflected on maintenance operations, thus replicating a similar approach to transport companies involved. Method : A decision-making model by means of a multi-criteria analysis can lead make-or-buy choices adapted to maintenance. A brief introduction into the actual mobility context is provided, evaluating global and national trends with respect to the mobility solutions offered. Then, a focus is set on maintenance approaches in mobility sector and the need of a make-or-buy decision process is considered. The decision-making path is developed through a multi-criteria framework based on eigenvector weighing assessment, where different Key Performance Indicators (KPIs) are identified and exploited to assess the maintenance approach at stake. Results : A comparison among different scenarios considered helped in identify the solution offered to the transport operator. In particular, for the case study of interest a −35% decrease in maintenance specific cost and −44% in cost variability were found. Reliability of the fleet was kept at an acceptable level compared to the reference in-house maintenance (≥90%) while an increase in the Mean Time Between Failure was observed. Conclusions : For the purposes of a small company, the method can address the choice of outsourcing maintenance as the best. Finally, a general trend is then extrapolated from the analysis performed, in order to constitute a decision guideline. The research can benefit from further analysis to test and validate that the selected approach is effective from the perspective of transport operator.

Keywords: decision-making; multi-criteria; planning; maintenance model; strategy; mobility (search for similar items in EconPapers)
JEL-codes: L8 L80 L81 L86 L87 L9 L90 L91 L92 L93 L98 L99 M1 M10 M11 M16 M19 R4 R40 R41 R49 (search for similar items in EconPapers)
Date: 2024
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