Assessing End-Of-Supply Risk of Spare Parts Using the Proportional Hazard Model
Decision Sciences. A Journal of the Decision Sciences Institute , Volume 47 - Issue 2 p. 373- 394
Operators of long field-life systems like airplanes are faced with hazards in the supply of spare parts. If the original manufacturers or suppliers of parts end their supply, this may have large impacts on operating costs of firms needing these parts. Existing end-of-supply evaluation methods are focused mostly on the downstream supply chain, which is of interest mainly to spare part manufacturers. Firms that purchase spare parts have limited information on parts sales, and indicators of end-of-supply risk can also be found in the upstream supply chain. This article proposes a methodology for firms purchasing spare parts to manage end-of-supply risk by utilizing proportional hazard models in terms of supply chain conditions of the parts. The considered risk indicators fall into four main categories, of which two are related to supply (price and lead time) and two others are related to demand (cycle time and throughput). The methodology is demonstrated using data on about 2,000 spare parts collected from a maintenance repair organization in the aviation industry. Cross-validation results and out-of-sample risk assessments show good performance of the method to identify spare parts with high end-of-supply risk. Further validation is provided by survey results obtained from the maintenance repair organization, which show strong agreement between the firm's and the model's identification of high-risk spare parts.
|Analytics approaches to supply chain, Production operations, Supply chain risk management|
|ERIM Top-Core Articles|
|Decision Sciences. A Journal of the Decision Sciences Institute|
|Organisation||Department of Econometrics|
Li, X, Dekker, R, Heij, C, & Hekimoğlu, M. (2016). Assessing End-Of-Supply Risk of Spare Parts Using the Proportional Hazard Model. Decision Sciences. A Journal of the Decision Sciences Institute, 47(2), 373–394. doi:10.1111/deci.12192