In the capital-intensive industry, maintenance expenditures can add up to several times the initial investment. In order to be competitive in their business, owners and users of these capital goods have to take into account the total life cycle cost at investment (e.g. the lifespan of a capital is often more than several decades), the renewal decisions for their installations and the logistic management of the spare parts. Erroneous or unstructured initial spare parts assortment decision-making part of the logistic management can lead to undesired downtime and increases the risk of obsolete or unavailable components. Decision making is complicated by non-existent data in the early design phase and several information management problems. Based on a case study at Netherlands Railways (the largest maintainer of rolling stock in the Netherlands) and literature review a Decision Support Model to structure and improve the data gathering for more effective initial spare part assortment decision making is proposed.
|Title of host publication||Advances in Through-life Engineering Services|
|Editors||Louis Redding, Rajkumar Roy, Andy Shaw|
|Number of pages||14|
|Publication status||Published - 23 Apr 2017|
|Publisher||Springer International Publishing|
Martinetti, A., Braaksma, A. J. J., Ziggers, J., & van Dongen, L. A. M. (2017). On the Initial Spare Parts Assortment for Capital Assets: A Structured Approach Aiding Initial Spare Parts Assortment Decision-Making (SAISAD). In L. Redding, R. Roy, & A. Shaw (Eds.), Advances in Through-life Engineering Services (pp. 429-442). (Decision Engineering). Springer. https://doi.org/10.1007/978-3-319-49938-3_26