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Conventional or additive manufacturing for spare parts management: An extensive comparison for Poisson demand

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  • Sgarbossa, Fabio
  • Peron, Mirco
  • Lolli, Francesco
  • Balugani, Elia

Abstract

Due to the main peculiarities of spare parts, i.e. intermittent demands, long procurement lead times and high downtime costs when the parts are not available on time, it is often difficult to find the optimal inventory level. Recently, Additive Manufacturing (AM) has emerged as a promising technique to improve spare parts inventory management thanks to a ‘print on demand’ approach.

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  • Sgarbossa, Fabio & Peron, Mirco & Lolli, Francesco & Balugani, Elia, 2021. "Conventional or additive manufacturing for spare parts management: An extensive comparison for Poisson demand," International Journal of Production Economics, Elsevier, vol. 233(C).
    • Handle: RePEc:eee:proeco:v:233:y:2021:i:c:s092552732030342x
    DOI: 10.1016/j.ijpe.2020.107993
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    References listed on IDEAS

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    Cited by:

    1. Naghshineh, Bardia & Carvalho, Helena, 2022. "The implications of additive manufacturing technology adoption for supply chain resilience: A systematic search and review," International Journal of Production Economics, Elsevier, vol. 247(C).
    2. Kim, Kyudong & Park, Kijung & Jeon, Hyun Woo & Kremer, Gül E., 2024. "Design complexity based flexible order dispatching for additive manufacturing production," International Journal of Production Economics, Elsevier, vol. 274(C).
    3. Marić, Josip & Opazo-Basáez, Marco & Vlačić, Božidar & Dabić, Marina, 2023. "Innovation management of three-dimensional printing (3DP) technology: Disclosing insights from existing literature and determining future research streams," Technological Forecasting and Social Change, Elsevier, vol. 193(C).
    4. Lolli, Francesco & Coruzzolo, Antonio Maria & Peron, Mirco & Sgarbossa, Fabio, 2022. "Age-based preventive maintenance with multiple printing options," International Journal of Production Economics, Elsevier, vol. 243(C).
    5. Foshammer, Jeppe & Søberg, Peder Veng & Helo, Petri & Ituarte, Iñigo Flores, 2022. "Identification of aftermarket and legacy parts suitable for additive manufacturing: A knowledge management-based approach," International Journal of Production Economics, Elsevier, vol. 253(C).

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