Author/Authors :
Unekwe, Christian National Open University - Awka Center , Ekechukwu, Boniface Nnamdi Azikiwe University - Nigeria , Nwokoye, Henry Fed College of Education(Tech) - Anambra State
Abstract :
The immense dynamics and criticality of spare parts and the large revenues accrued, as
essential motivating factors for providing control in manufacturing companies has never
showed any sign of decrease. In fact, in the vast technological environment of today the
complexities of Spare Parts Inventory Control enjoys more insights from analysts (in the
Management Science, Information Technology and Industrial/Mechanical Engineering fields)
as inventory policies get modeled to ensure customer satisfaction. In other words manual
ways of handling inventory has failed to cope with factors like stochastic demands, better
service levels, and shorter lead times and providing perfect heuristics for Inventory-related
decision making. To this end, significant results for forecasting spare parts requirements can
be achieved through the use of novel decision models. Besides the selling of vehicles, the
spare parts of various models of heavy duty vehicles are stored and managed by the
company. The management of these models which is complex was further complicated by the
vast number of parts required in each model. In fact, more than 20,000 active parts needed to
be controlled. The management of these parts can only be done with the aid of a computer;
hence the spare parts complex has a computerized spare parts inventory database. Each of
the parts that is supplied or replenished is continuously keyed into the computer and the
inventory stock parameters are updated automatically. The company uses a software package
for its inventory control. This is used to identify the part number of the spare parts. From the
part number, the location of the spare parts in the stock room is identified.