SELECTION OF A DECISION MODEL FOR ROLLING STOCK MAINTENANCE SCHEDULING

Rolling stock is the most maintenance intensive part of the railway system and therefore, the most vulnerable if maintenance is neglected. It is therefore, essential to have an efficient maintenance schedule for rolling stock components. A decision support model can be used to achieve this. However, selecting the appropriate model to achieve this is vital to the success of the decision support model. In this paper a practical way of selecting the appropriate model to develop a decision support for scheduling of rolling stock maintenance, is presented. A case study is used as a numerical example for the proposed framework. OPSOMMING Die rollende voorraad van ‘n spoorwegstelsel vereis gewoonlik intensiewe instandhouding en daarom is dit die meeste kwesbaar indien instandhouding afgeskeep word. Dit is dus noodsaaklik dat ‘n doeltreffende instandhoudingskedule vir rollende voorraad onderdele gebruik word. Om dit moontlik te maak, kan ‘n besluitsteunmodel gebruik word. Om ‘n suksesvolle besluitsteunmodel daar te stel, is dit egter noodsaaklik om die mees geskikte model hiervoor te kies. In hierdie artikel word ‘n praktiese metode voorgestel om die mees geskikte model te kies vir die ontwikkeling van ‘n skedulering besluitsteunmodel