TY - GEN
T1 - Impact of Failure Rate Uncertainties on the Implementation of Additive Manufacturing in Spare Parts Supply Chains
AU - Peron, Mirco
AU - Knofius, Nils
AU - Basten, Rob
AU - Sgarbossa, Fabio
N1 - Publisher Copyright:
© 2021, IFIP International Federation for Information Processing.
PY - 2021
Y1 - 2021
N2 - The world of spare parts may be revolutionized by the advent of additive manufacturing (AM). Thanks to the possibility to manufacture spare parts on-demand, AM has attracted great attention in the last years as a substitute of conventional manufacturing techniques (CM). However, both researchers and practitioners point out two main limitations that might hinder the transition from CM to AM for the manufacturing of spare parts: AM parts’ high production costs and uncertain failure rate. While the former limitation will most likely be overcome in the near future, the latter remains an open issue, so far uninvestigated. We therefore aim to investigate the effect of uncertain failure rate estimates on the optimal inventory level and on the total costs of spare parts management. To do so, we adapt a periodic inventory management policy available in the literature to include failure rate uncertainties and perform a parametrical analysis to investigate their impact varying the mean values of the failure rate, the lead times, and the unitary backorder and production costs. From the results it emerged that the effects of the failure rate uncertainties on the optimal inventory level and on the total costs of spare parts management increases exponentially, leading to a divergence up to 250% for both.
AB - The world of spare parts may be revolutionized by the advent of additive manufacturing (AM). Thanks to the possibility to manufacture spare parts on-demand, AM has attracted great attention in the last years as a substitute of conventional manufacturing techniques (CM). However, both researchers and practitioners point out two main limitations that might hinder the transition from CM to AM for the manufacturing of spare parts: AM parts’ high production costs and uncertain failure rate. While the former limitation will most likely be overcome in the near future, the latter remains an open issue, so far uninvestigated. We therefore aim to investigate the effect of uncertain failure rate estimates on the optimal inventory level and on the total costs of spare parts management. To do so, we adapt a periodic inventory management policy available in the literature to include failure rate uncertainties and perform a parametrical analysis to investigate their impact varying the mean values of the failure rate, the lead times, and the unitary backorder and production costs. From the results it emerged that the effects of the failure rate uncertainties on the optimal inventory level and on the total costs of spare parts management increases exponentially, leading to a divergence up to 250% for both.
KW - Additive manufacturing
KW - Failure rate uncertainty
KW - Spare parts
UR - http://www.scopus.com/inward/record.url?scp=85115314897&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-85914-5_31
DO - 10.1007/978-3-030-85914-5_31
M3 - Conference contribution
AN - SCOPUS:85115314897
SN - 978-3-030-85913-8
SN - 978-3-030-85916-9
T3 - IFIP Advances in Information and Communication Technology (IFIPAICT)
SP - 291
EP - 299
BT - Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems
A2 - Dolgui, Alexandre
A2 - Bernard, Alain
A2 - Lemoine, David
A2 - von Cieminski, Gregor
A2 - Romero, David
PB - Springer
CY - Cham
T2 - IFIP WG 5.7 International Conference on Advances in Production Management Systems, APMS 2021
Y2 - 5 September 2021 through 9 September 2021
ER -