Many of the challenges in spare parts logistics emerge due to the combination of large service networks, and sporadic/slow-moving demand. Customer heterogeneity and stringent service deadlines entail further challenges. Meanwhile, high revenues rates in service operations motivate companies to invest and optimize the service logistics function. An important aspect of the spare parts logistics function is its ability to support customer-specific requirements with respect to service deadlines. To support customer specific operations, many companies are actively maintaining and utilizing installed base data during forecasting, planning and execution stages. In this paper, we highlight the potential economic value of installed base data for spare parts logistics. We also discuss various data quality issues that are associated with the use of installed base data and show that planning performance depends on the quality dimensions.

Additional Metadata
Keywords forecasting, information quality, installed base information, practice of OR, spare parts logistics planning, value of information
Publisher Erasmus Research Institute of Management (ERIM)
Persistent URL hdl.handle.net/1765/14529
Citation
Jalil, M.N., Zuidwijk, R.A., Fleischmann, M., & van Nunen, J.A.E.E.. (2009). Spare Parts Logistics and Installed Base Information (No. ERS-2009-002-LIS). ERIM report series research in management Erasmus Research Institute of Management. Erasmus Research Institute of Management (ERIM). Retrieved from http://hdl.handle.net/1765/14529