The objective of this study is to develop a decision-making framework for maintenance management targeting remotely operated assets. Using external data as an input, the developed framework can improve decision-making ability on maintenance from the field or remote office. This was achieved by presenting additional information from related departments in addition to data assessments, and identification and sorting of failures. The idea of accessing the information via digital devices which has internet access is also explored in this thesis.

This framework is developed using the Structured Analysis and Design Technique (SADT). The field data related to tire failures were used to gain the insight of the practical application of this framework. It is observed that this framework is more feasible in the field where operating conditions are similar over a long period. This framework can also help the decision-maker to make analytical decisions as compared to only relying on intuition.