Additive manufacturing integration in E-commerce supply chain network to improve resilience and competitiveness

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dc.contributor.authorYetkin Ekren, Banu
dc.contributor.authorStylos, Nikolaos
dc.contributor.authorZwiegelaar, Jeremy
dc.contributor.authorEroğlu Turhanlar, Ecem
dc.contributor.authorKumar, Vikas
dc.date.accessioned2022-11-07T15:21:55Z
dc.date.available2022-11-07T15:21:55Z
dc.date.issued2022-10-27
dc.description.abstractIn light of recently increased e-commerce, also a result of the COVID-19 pandemic, this study examines how additive manufacturing (AM) can contribute to e-commerce supply chain network resilience, profitability and competitiveness. With the recent competitive supply chain challenges, companies aim to decrease cost performance metrics and increase responsiveness. In this work, we aim to establish utilisation policies for AM in a supply chain network so that companies can simultaneously improve their total network cost and response time performance metrics. We propose three different utilisation policies, i.e. reactive, proactive – both with 3D printing support – and a policy excluding AM usage in the system. A simulation optimisation process for 136 experiments under various input design factors for an (s, S) inventory control policy is carried out. We also completed a statistical analysis to identify significant factors (i.e. AM, holding cost, lead time, response time, demand amount, etc.) affecting the performance of the studied retailer supply chain. Results show that utilising AM in such a network can prove beneficial, and where the reactive policy contributes significantly to the network performance metrics. Practically, this work has important managerial implications in defining the most appropriate policies to achieve optimisation of supply network operations and resilience with the aid of AM, especially in times of turbulence and uncertainty.en_UK
dc.identifier.citationEkren BY, Stylos N, Zwiegelaar J, et al., (2023) Additive manufacturing integration in e-commerce supply chain network to improve resilience and competitiveness. Simulation Modelling Practice and Theory, Volume 122, January 2023, Article number 102676en_UK
dc.identifier.issn1569-190X
dc.identifier.urihttps://doi.org/10.1016/j.simpat.2022.102676
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/18665
dc.language.isoenen_UK
dc.publisherElsevieren_UK
dc.rightsAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectAdditive manufacturingen_UK
dc.subject3D printingen_UK
dc.subjectinventory optimisationen_UK
dc.subjectsupply chainen_UK
dc.subjecte-commerceen_UK
dc.subjectresilienceen_UK
dc.titleAdditive manufacturing integration in E-commerce supply chain network to improve resilience and competitivenessen_UK
dc.typeArticleen_UK

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