Introduction

Houtum, Geert‐Jan van; Kranenburg, Bram

doi:10.1007/978-1-4899-7609-3_1

Cited by 2 publications

(1 citation statement)

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“…This challenging environment stimulated academia to propose models to optimize the spare parts management and thus support decisions regarding how many spare parts to stock at which location in the supply chain (see e.g. Sherbrooke, 2004; Muckstadt, 2005; Van Houtum and Kranenburg, 2015). Moreover, it is observable that asset owners increasingly outsource maintenance activities to service providers or OEMs with strict service-level requirements (Oliva and Kallenberg, 2003).…”

Section: Literature Reviewmentioning

confidence: 99%

Selecting parts for additive manufacturing in service logistics

Knofius

Heijden

Zijm

2016

JMTM

120

102

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Purpose-For more than ten years, the value of additive manufacturing (AM) for after-sales service logistics has been propagated. Today, however, only few applications are observed in practice. In this paper, possible reasons for this discrepancy are discussed and a method is developed to simplify the identification of economically valuable and technologically feasible business cases. Design/methodology/approach-The approach is based on the Analytic Hierarchy Process (AHP) and relies on spare part information that is easily retrievable from the company databases. This has two advantages: first, the approach can be customized towards specific company characteristics, and second, a very large number of spare parts may be assessed simultaneously. A field study is discussed in order to demonstrate and validate the approach in practice. Furthermore, sensitivity analyses are performed to evaluate the robustness of the method. Findings-Results provide evidence that the method allows a valid prioritization of a large spare part assortment. Also, sensitivity analyses clarify the robustness of the approach and illustrate the flexibility of applying the method in practice. More than 1000 positive business cases of AM for after-sales service logistics have been identified based on the method. Originality/value-The developed method enables companies to rank spare parts according to their potential value when produced with AM. As a result, companies can evaluate the most promising spare parts first. This increases the effectiveness and efficiency of identifying business cases and thus may support the adoption of AM in after-sales service supply chains.

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Section: Literature Reviewmentioning

confidence: 99%