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

Ekren, Banu Yetkin; Stylos, Nikolaos; Zwiegelaar, Jeremy; Turhanlar, Ecem Eroğlu; Kumar, Vikas

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.

Citation

Ekren, B. Y., Stylos, N., Zwiegelaar, J., Turhanlar, E. E., & Kumar, V. (2023). Additive manufacturing integration in E-commerce supply chain network to improve resilience and competitiveness. Simulation Modelling Practice and Theory, 122, Article 102676. https://doi.org/10.1016/j.simpat.2022.102676

• Journal Article Type: Article
• Acceptance Date: Oct 15, 2022
• Publication Date: Jan 1, 2023
• Deposit Date: Oct 16, 2022
• Publicly Available Date: Jan 2, 2025
• Journal: Simulation Modelling Practice and Theory
• Print ISSN: 1569-190X
• Publisher: Elsevier
• Peer Reviewed: Peer Reviewed
• Volume: 122
• Article Number: 102676
• DOI: https://doi.org/10.1016/j.simpat.2022.102676
• Keywords: Additive manufacturing 3D printing, Inventory optimisation, Supply chain, e-commerce, Resilience
• Public URL: https://uwe-repository.worktribe.com/output/10090739
• Publisher URL: https://www.sciencedirect.com/science/article/pii/S1569190X22001460