On the Initial Spare Parts Assortment for Capital Assets: A Structured Approach Aiding Initial Spare Parts Assortment Decision-Making (SAISAD)

Research output: Chapter in Book/Report/Conference proceedingChapterAcademic

Abstract

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.
Original languageEnglish
Title of host publicationAdvances in Through-life Engineering Services
EditorsLouis Redding, Rajkumar Roy, Andy Shaw
PublisherSpringer
Pages429-442
Number of pages14
ISBN (Electronic)978-3-319-49938-3
ISBN (Print)978-3-319-49937-6
DOIs
Publication statusPublished - 23 Apr 2017

Publication series

NameDecision Engineering
PublisherSpringer International Publishing
ISSN (Print)1619-5736

Fingerprint

Assortment
Spare parts
Decision making
Assets
The Netherlands
Logistics management
Industry
Life cycle cost
Decision support model
Owners
Railway
Renewal
Life span
Expenditure
Information management
Literature review

Cite this

Martinetti, Alberto ; Braaksma, Anne Johannes Jan ; Ziggers, J. ; van Dongen, Leonardus Adriana Maria. / On the Initial Spare Parts Assortment for Capital Assets : A Structured Approach Aiding Initial Spare Parts Assortment Decision-Making (SAISAD). Advances in Through-life Engineering Services. editor / Louis Redding ; Rajkumar Roy ; Andy Shaw. Springer, 2017. pp. 429-442 (Decision Engineering).
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On the Initial Spare Parts Assortment for Capital Assets : A Structured Approach Aiding Initial Spare Parts Assortment Decision-Making (SAISAD). / Martinetti, Alberto ; Braaksma, Anne Johannes Jan; Ziggers, J.; van Dongen, Leonardus Adriana Maria.

Advances in Through-life Engineering Services. ed. / Louis Redding; Rajkumar Roy; Andy Shaw. Springer, 2017. p. 429-442 (Decision Engineering).

Research output: Chapter in Book/Report/Conference proceedingChapterAcademic

TY - CHAP

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AB - 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.

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T3 - Decision Engineering

SP - 429

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Martinetti A, Braaksma AJJ, Ziggers J, van Dongen LAM. On the Initial Spare Parts Assortment for Capital Assets: A Structured Approach Aiding Initial Spare Parts Assortment Decision-Making (SAISAD). In Redding L, Roy R, Shaw A, editors, Advances in Through-life Engineering Services. Springer. 2017. p. 429-442. (Decision Engineering). https://doi.org/10.1007/978-3-319-49938-3_26