SYSTEM DYNAMICS ANALYSIS FOR IMPACT OF CLOUD-BASED INFORMATION-SHARING ON SUPPLY CHAIN PERFORMANCE

Authors

  • Yueran Zhang Tianjin University https://orcid.org/0000-0003-3386-2005
  • Zhanwen Niu Tianjin University
  • Chao Liu Tianjin University
  • Chaochao Liu Tianjin University of Commerce
  • Kaixuan Hou Tianjin University

DOI:

https://doi.org/10.23055/ijietap.2024.31.2.9693

Keywords:

information sharing, cloud platform, supply chain performance, system dynamics, manufacturing

Abstract

Cloud computing has emerged as a vital tool for facilitating information-sharing and collaboration in supply chain operations. However, how the information is shared in the cloud-based supply chain has not been thoroughly investigated. Thus, adopting a system dynamics approach, this research deepens the understanding of information transmission within the supply chain by proposing a general stock and flow model and endorsing the model in an equipment manufacturing setting in China. Building upon the general model, this paper establishes a conceptual framework for cloud-based information-sharing mechanisms both within and across supply chains. The impact of cloud-based information-sharing on supply chain performance is evaluated by inventory level and customer satisfaction. The findings indicate a positive influence of information-sharing on supply chain performance. Notably, sharing information across supply chains enhances customer satisfaction to a greater extent than within the supply chain. However, it does not lead to a significant increase in inventory levels. This research expounds on the impact of information-sharing on the supply chain in quantitative forms, which is of theoretical and practical significance to the field of supply chain management.

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Published

2024-04-18

How to Cite

Zhang, Y., Niu, Z., Liu, C., Liu, C., & Hou, K. (2024). SYSTEM DYNAMICS ANALYSIS FOR IMPACT OF CLOUD-BASED INFORMATION-SHARING ON SUPPLY CHAIN PERFORMANCE. International Journal of Industrial Engineering: Theory, Applications and Practice, 31(2). https://doi.org/10.23055/ijietap.2024.31.2.9693

Issue

Vol. 31 No. 2 (2024)

Section

Supply Chain Management

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