Spare Parts Logistics and Installed Base Information

Muhammad Jalil, Rob Zuidwijk, Moritz Fleischmann and Jo van Nunen

ERIM Report Series Research in Management from Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam

Abstract: 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.

Keywords: forecasting; information quality; installed base information; practice of OR; spare parts logistics planning; value of information (search for similar items in EconPapers)
JEL-codes: L81 M M11 R4 (search for similar items in EconPapers)
Date: 2009-01-13
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Citations: View citations in EconPapers (3)

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