TY - JOUR
T1 - Modelling and solving spare parts supply chain network design problems
AU - Tapia-Ubeda, Francisco J.
AU - Miranda, Pablo A.
AU - Roda, Irene
AU - Macchi, Marco
AU - Durán, Orlando
N1 - Funding Information:
This research work was performed within the context of SustainOwner (?Sustainable Design and Management of Industrial Assets through Total Value and Cost of Ownership"), a project sponsored by the EU Framework Programme Horizon 2020, MSCA-RISE-2014: Marie Sk?odowska-Curie Research and Innovation Staff Exchange (RISE), grant agreement number 645733-Sustain-Owner- H2020-MSCA-RISE-2014. Dr. Tapia-Ubeda wants to acknowledge the support from ?Vicerrector?a de Investigaci?n y Estudios Avanzados?, Pontificia Universidad Cat?lica de Valpara?so, through the Project ?Postdoctorado DI 2019?, grant agreement number 37.0/2019. Dr. Miranda expresses his sincere gratitude to Portsmouth Business School at the University of Portsmouth, for the support in hosting him as a Visiting Researcher from May 2017 to March 2018, stay that was helpful to partially develop this and other research activities.
Funding Information:
This research work was performed within the context of SustainOwner (“Sustainable Design and Management of Industrial Assets through Total Value and Cost of Ownership"), a project sponsored by the EU Framework Programme Horizon 2020, MSCA-RISE-2014: Marie Skłodowska-Curie Research and Innovation Staff Exchange (RISE), grant agreement number 645733-Sustain-Owner- H2020-MSCA-RISE-2014. Dr. Tapia-Ubeda wants to acknowledge the support from “Vicerrectoría de Investigación y Estudios Avanzados”, Pontificia Universidad Católica de Valparaíso, through the Project “Postdoctorado DI 2019”, grant agreement number 37.0/2019. Dr. Miranda expresses his sincere gratitude to Portsmouth Business School at the University of Portsmouth, for the support in hosting him as a Visiting Researcher from May 2017 to March 2018, stay that was helpful to partially develop this and other research activities.
Publisher Copyright:
© 2020 Informa UK Limited, trading as Taylor & Francis Group.
PY - 2020/1/1
Y1 - 2020/1/1
N2 - Spare parts are key operational assets in order to minimise unexpected equipment downtimes that may significantly impact a company’s results. The spare parts supply chain network supports the entire spare parts operations management and it is essential to achieve the planned goals. However, most of the traditional literature on spare parts management has not focused on the underlying supply chain network. Thus, this paper studies the integration of supply chain network design and control with traditional spare parts management. In particular, a generic network optimisation modelling structure is proposed, with simultaneous optimisation of warehouse locations and inventory control decisions, allowing minimising the total costs associated with the spare parts supply chain network. The generic model is specified based on three inventory control policies widely employed in the industry, which are suitable for managing a great variety of spare parts, i.e. (s, Q), (R, s, S) and (S-1, S). Furthermore, a solution approach is proposed based on Generalised Benders Decomposition. Finally, numerical results from a real-world application case in the process industry are shown and discussed.
AB - Spare parts are key operational assets in order to minimise unexpected equipment downtimes that may significantly impact a company’s results. The spare parts supply chain network supports the entire spare parts operations management and it is essential to achieve the planned goals. However, most of the traditional literature on spare parts management has not focused on the underlying supply chain network. Thus, this paper studies the integration of supply chain network design and control with traditional spare parts management. In particular, a generic network optimisation modelling structure is proposed, with simultaneous optimisation of warehouse locations and inventory control decisions, allowing minimising the total costs associated with the spare parts supply chain network. The generic model is specified based on three inventory control policies widely employed in the industry, which are suitable for managing a great variety of spare parts, i.e. (s, Q), (R, s, S) and (S-1, S). Furthermore, a solution approach is proposed based on Generalised Benders Decomposition. Finally, numerical results from a real-world application case in the process industry are shown and discussed.
KW - Generalised Benders Decomposition
KW - inventory location problems
KW - network optimisation
KW - spare parts
KW - supply chain network design
UR - http://www.scopus.com/inward/record.url?scp=85079232056&partnerID=8YFLogxK
U2 - 10.1080/00207543.2020.1720924
DO - 10.1080/00207543.2020.1720924
M3 - Article
AN - SCOPUS:85079232056
SN - 0020-7543
VL - 58
SP - 5299
EP - 5319
JO - International Journal of Production Research
JF - International Journal of Production Research
IS - 17
ER -