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Abstract Planning of maintenance activities plays a dominant role in determining the effectiveness of the system. It represents a major task for the planner to try to plan his activities effectively. Preventive maintenance or planned maintenance and reprur work or unplanned maintenance are two facets of maintenance activities. Planning the maintenance activities for unpredictable failure is a complex situation because of the highly randomness involved. Handling such activities needs an effective and reliable technique. Simulation techniques offer the only tool to plan maintenance of the unpredictable activities and to aid the planner to effectively use his resources. This thesis designs a simulation model that handles the unpredictable maintenance activities in bus maintenance workshop in order to include the required expected capacity of the servers for these activities into the plan of work of the workshop. Moreover , the model could present an aid to planner to simulate his requirements and to test the limits of his system. The workshop consists of seven main service units. The total number of buses allocated for the workshop is two hundred and fifty buses. Recorded data. are available for the type and frequency (giving the interarrivals time) of the failure. The data for the present work is collected from records for fifty buses representing 20 % sample size. The service time required for each failure is not recorded. An analytical estimation technique is used to determine the minimum and maximum expected time for each failure. A thorough statistical analysis is carried out for the data collected to identify the controlling variables for theoretical distributions that could, with high level of significance, represent these data. Four well known distributions are |