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

dc.contributor.author Banu Yetkin Ekren
dc.contributor.author Nikolaos Stylos
dc.contributor.author Jeremy Zwiegelaar
dc.contributor.author Vikas Kumar
dc.contributor.author Ecem Eroglu Turhanlar
dc.date JAN
dc.date.accessioned 2025-10-06T16:23:33Z
dc.date.issued 2023
dc.description.abstract In 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.
dc.identifier.doi 10.1016/j.simpat.2022.102676
dc.identifier.issn 1569-190X
dc.identifier.uri http://dx.doi.org/10.1016/j.simpat.2022.102676
dc.identifier.uri https://gcris.yasar.edu.tr/handle/123456789/7906
dc.language.iso English
dc.publisher ELSEVIER
dc.relation.ispartof Simulation Modelling Practice and Theory
dc.source SIMULATION MODELLING PRACTICE AND THEORY
dc.subject Additive manufacturing, 3D printing, inventory optimisation, Supply chain, e -commerce, Resilience
dc.subject RESOURCE-BASED THEORY, SPARE PARTS, MANAGEMENT, BUSINESS, PERFORMANCE, INVENTORY, IMPACT, FIRM
dc.title Additive manufacturing integration in E-commerce supply chain network to improve resilience and competitiveness
dc.type Article
dspace.entity.type Publication
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gdc.bip.influenceclass C4
gdc.bip.popularityclass C3
gdc.coar.type text::journal::journal article
gdc.collaboration.industrial false
gdc.description.startpage 102676
gdc.description.volume 122
gdc.identifier.openalex W4307003110
gdc.index.type WoS
gdc.oaire.accesstype HYBRID
gdc.oaire.diamondjournal false
gdc.oaire.impulse 44.0
gdc.oaire.influence 4.5367394E-9
gdc.oaire.isgreen true
gdc.oaire.keywords 330
gdc.oaire.keywords inventory optimisation
gdc.oaire.keywords Resilience
gdc.oaire.keywords Additive manufacturing
gdc.oaire.keywords 3d printing
gdc.oaire.keywords 380
gdc.oaire.keywords e-commerce
gdc.oaire.keywords 3D printing
gdc.oaire.keywords 650
gdc.oaire.keywords resilience
gdc.oaire.keywords supply chain
gdc.oaire.popularity 3.4144072E-8
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gdc.oaire.sciencefields 0502 economics and business
gdc.oaire.sciencefields 05 social sciences
gdc.openalex.collaboration International
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gdc.opencitations.count 42
gdc.plumx.crossrefcites 43
gdc.plumx.mendeley 139
gdc.plumx.scopuscites 52
gdc.virtual.author Yetkin Ekren, Banu
person.identifier.orcid Zwiegelaar- Jeremy B/0000-0002-5702-6610, Yetkin Ekren- Banu/0000-0001-6491-1389, Kumar- Vikas/0000-0002-8062-7123, Stylos- Nikolaos/0000-0003-1626-0088, Yetkin Ekren- Banu/0009-0009-4228-7795
publicationvolume.volumeNumber 122
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