Repository logoGCRIS
  • English
  • Türkçe
  • Русский
Log In
New user? Click here to register. Have you forgotten your password?
Home
Communities
Browse GCRIS
Entities
Overview
GCRIS Guide
  1. Home
  2. Browse by Author

Browsing by Author "Stylos, Nikolaos"

Filter results by typing the first few letters
Now showing 1 - 1 of 1
  • Results Per Page
  • Sort Options
  • Loading...
    Thumbnail Image
    Article
    Citation - WoS: 32
    Citation - Scopus: 52
    Additive manufacturing integration in E-commerce supply chain network to improve resilience and competitiveness
    (Elsevier B.V., 2023) Banu Yetkin Yetkin Ekren; Nikolaos D. Stylos; Jeremy Zwiegelaar; Ecem Eroğlu Turhanlar; Vikas Kumar; Stylos, Nikolaos; Turhanlar, Ecem Eroglu; Zwiegelaar, Jeremy; Kumar, Vikas; Ekren, Banu Yetkin
    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. © 2022 Elsevier B.V. All rights reserved.
Repository logo
Collections
  • Scopus Collection
  • WoS Collection
  • TrDizin Collection
  • PubMed Collection
Entities
  • Research Outputs
  • Organizations
  • Researchers
  • Projects
  • Awards
  • Equipments
  • Events
About
  • Contact
  • GCRIS
  • Research Ecosystems
  • Feedback
  • OAI-PMH

Log in to GCRIS Dashboard

GCRIS Mobile

Download GCRIS Mobile on the App StoreGet GCRIS Mobile on Google Play

Powered by Research Ecosystems

  • Privacy policy
  • End User Agreement
  • Feedback