Search for Author, Title, Keyword
Maintenance management balanced scorecard approach for urban transport fleets
More details
Hide details
Instituto Universitario CMT-Motores Térmicos Universitat Politècnica de València Campus de Vera. Edificio 6D. 46022, Valencia. Spain
ATUC- Asociación de Empresas Gestoras de los Transportes Urbanos Colectivos C\ Princesa, 31 Piso 5 Oficina 1, 28008, Madrid. Spain
Publication date: 2019-06-30
Eksploatacja i Niezawodność – Maintenance and Reliability 2019;21(2):226–236
Attending the important role of maintenance function in any production or service provider company, the measurement and assessment of maintenance performance is crucial for competitiveness and future survival. That situation is even more critical in urban transport fleets where some specific boundary conditions and special characteristics will affect maintenance policy and implementation. This paper presents a deep review of different studies worldwide to define the most proper and effective maintenance performance indicators, selecting and refining the most important ones to obtain a reduced maintenance management balanced scorecard. That balanced scorecard is proposed as a main tool for urban transport fleet maintenance managers to assess efficiency and effectiveness of maintenance processes and will be used as a basis for a future benchmarking process for this type of companies.
Abbas K. Developing optimum KPI system for Public Transport Organizations. Sigma Journal of Engineering and Natural Sciences 2016; 7 (1): 31-41.
Ahn H. Applying the Balanced Scorecard Concept: An Experience Report. Long Range Planning 2001; 34: 441-461,
Albert H, Tsang C, Jardine Andrew K S, Kolodny H. Measuring maintenance performance: a holistic approach. International Journal of Operations & Production Management 1999; 19 (7): 691-715,
Alsyouf I. Measuring maintenance performance using a balanced scorecard approach. Journal of Quality in Maintenance Engineering 2006;12 (2): 133-149,
Bakhtiar A, Purwanggono B, Metasari N. Maintenance Function's Performance Evaluation Using Adapted Balanced Scorecard Model. International Journal of Industrial and Manufacturing Engineering 2009; 3(10): 1255-1259.
Crespo A, Moreu de León P, Gómez Fernández J F, Parra C, López Campos M. The maintenance management framework: A practical view to maintenance management. Journal of Quality in Maintenance Engineering 2009; 15 (2): 167-178, https://doi. org/10.1108/13552510910961110.
De Sa-Riechi JL, Macian V, Tormos B, Avila C. Optimal fleet replacement: A case study on a Spanish urban transport fleet. Journal of the Operational Research Society 2017; 68(8): 886-894,
EN 13816: 2002 Transportation-Logistics and services – Public passenger transport service quality definition, targeting and measurement.
EN 15341: 2007 Maintenance - Maintenance Key Performance Indicators.
Field study on bus depots and bus maintenance. Similarities between and singularities of different engine technologies and their impact on infrastructure, quality and maintenance. UITP Bus Committee. 2013. Internal Report.
Fredrich L. Performance Metrics for the New Fleet Manager. Wheels & Wings - Online Newsletter for the Federal Motor Vehicle and Aviation Communities. 2014. Available at
Georgiadis G. The Role of Benchmarking in Public Transport: The Case of Thessaloniki, Greece. Procedia - Social and Behavioral Sciences 2012; 48: 2577 – 2587,
Henning T, Dalil Essakali M, Eun Oh J. A framework for urban Transport benchmarking. The World Bank. 2011. Downloadable from https://openknowledge.worldban....
Kaplan R S, Norton D P. The Balanced Scorecard – Measures that Drive Performance. Harvard Business Review 1992; 70(1): 71-79.
Kumar U, Galar D, Parida A, Stenström C, Berges L. Maintenance performance metrics: a state‐of‐the‐art review. Journal of Quality in Maintenance Engineering 2013; 19 (3): 233-277,
Macián V, Tormos B, Ruiz S, Riechi J. Urban bus fleet maintenance costs: comparative analysis between diesel vs CNG fuelled vehicles. EuroMaintenance 2014 Congress Proceedings ISBN 978-952-67981-3-4. Helsinki (Finland), May 2014.
Macián V, Tormos B, Riechi J. Time replacement optimization model: comparative analysis of urban transport fleets using Monte Carlo Simulation. Eksploatacja i Niezawodnosc – Maintenance and Reliability 2017; 19 (2): 151-157,
Managing for Results in America's Great City Schools: A Report of the Performance Measurement and Benchmarking Project. 2017. Downloadable at
MBTA Bus Maintenance Efficiency Study. Final Report. Massachusetts Bay Transportation Authority. March 2016. Downloadable from
Neely A, Gregory M, Platts K. Performance measurement system design: A literature review and research agenda. International Journal of Operations & Production Management 1995; 15 (4): 80-116,
Parida A, Kumar U. Maintenance performance measurement (MPM): issues and challenges. Journal of Quality in Maintenance Engineering 2006, 12 (3); 239-251,
Randall E, Condry B, Trompet M. International Bus System Benchmarking: Performance Measurement Development, Challenges, and Lessons Learned, Proceedings of the 86th Transportation Research Board Annual Meeting, January 2007, Washington.
Sondalini M. Useful Key Performance Indicators for Maintenance. Downloadable at https://www.lifetime-reliabili....
Stuart D. KPI's for maintenance: 15 suggestions for numbers that matter. 2016. Available at
Tubis A, Werbińska-Wojciechowska S. Balanced Scorecard use in Passenger Transport Companies Performing at Polish Market. Procedia Engineering 2017; 187: 538-547,
Wireman T. Developing Performance Indicators for Managing Maintenance. New York: Industrial Press, 1998.
Improved method of processing the output parameters of the diesel locomotive engine for more efficient maintenance
Peter Zvolenský, Dalibor Barta, Droździel Pawel, Ľubomír Kašiar
Eksploatacja i Niezawodnosc - Maintenance and Reliability
Identification of safety hazards and operating conditions of the low-floor tram with independently rotating wheels with various drive control algorithms
Robert Konowrocki, Dariusz Kalinowski, Tomasz Szolc, Artur Marczewski
Eksploatacja i Niezawodnosc - Maintenance and Reliability
Application of the logistic regression for determining transition probability matrix of operating states in the transport systems
Edward Kozłowski, Anna Borucka, Andrzej Świderski
Eksploatacja i Niezawodność – Maintenance and Reliability