Güçdemir H.Ilgin M.A.2024-07-222024-07-222014http://akademikarsiv.cbu.edu.tr:4000/handle/123456789/16864Timely and cost effective supply of spare parts is a vital issue in after sales service. If the demand for spare parts is overestimated, holding costs increase. Underestimation of demand results in lost goodwill of the customers. In order to manage the spare part inventories effectively, companies generally determine the importance level of each spare part and apply a suitable inventory control policy. In this study, we integrate clustering techniques and analytic hierarchy process (AHP) to determine the importance levels of spare parts kept by a television manufacturer. First, spare parts are grouped into 3 main categories using clustering algorithms. Then AHP is used to determine importance level of each group by considering several criteria including frequency, criticality, total monthly usage, lead time, availability, substitutability and tendency of obsolescence. Finally, suitable inventory policies are suggested for each spare part group.EnglishAnalytic hierarchy processCost effectivenessHierarchical systemsInventory controlManufactureObsolescenceAfter-sales servicesAnalytic hierarchy process (ahp)ClusteringClustering techniquesInventory control policiesInventory policiesMulti Criteria AnalysisSpare partsClustering algorithmsConference paper