Rollingstock Maintenance Strategy Selection by Application of the Analytic Network Process Algorithm

Atuheise Catherine
2019
Industries are facing a lot of challenges such as the optimization of operation and maintenance function due to the continually evolving world of technologies, global competitiveness, environmental and safety requirements. Thus, this study sets out to select an appropriate maintenance strategy with the use of one of the various Multi-Criteria Decision Making (MCDM) methods known as Analytic Network Process (ANP). This study is aimed at selecting an appropriate maintenance strategy to be adopted
more » ... ategy to be adopted at AALRTS. This consists of determination of evaluating criteria and maintenance strategies to be used in the study. Thereafter, there is formation of a model, pairwise comparisons based on the model formulated and validation of a model and to achieve this, a survey is carried out in three phases using questionnaires to be filled by a group of experts from the Addis Ababa University, Ethiopian Railway Corporation and Addis Ababa Light Rail Transit depot maintenance and management personnel to narrow down the evaluating criteria that were gotten from the literature review. The model used to analyze and evaluate the data is Analytic Network Process (ANP) and a software, SUPERDECISION is used to assist with the analysis. The results obtained is Total Productive Maintenance as the most recommended suitable maintenance strategies and Corrective maintenance as the least recommended alternative. The strategies currently being utilized at AALRT are preventive maintenance and corrective maintenance. Application of the new recommended strategy (CBM & TPM) can improve company operations, improve the whole system safety, improve company profitability and hence competitiveness.
doi:10.20372/nadre/10538 fatcat:islc3jho7fbfpk3tnnsuuoxkge