A comprehensive blockchain-enabled supply chain network design: an iterative model versus an integrated model
Ardavan Babaei (),
Majid Khedmati () and
Mohammad Reza Akbari Jokar ()
Additional contact information
Ardavan Babaei: Sharif University of Technology
Majid Khedmati: Sharif University of Technology
Mohammad Reza Akbari Jokar: Sharif University of Technology
Annals of Operations Research, 2025, vol. 354, issue 1, No 6, 143-192
Abstract:
Abstract As an outcome of economies of scale, demand growth can benefit companies in various ways. However, demand fulfillment and management are just not possible in a supply chain whose managers focus only on cost minimization. For this reason, the present paper proposes a sustainable, efficient, customer-centered and resilient closed-loop supply chain network. Limited access to labor during the Covid-19 pandemic, traffic congestion due to transportation of products, as well as transparency through the Blockchain technology are some of the key considerations in our supply chain network design. To the best of our knowledge, this is the first attempt where such a supply chain network is designed, solved and analyzed based on iterative and integrated models. The fuzzy goal programming is adopted as a solution approach for both of the proposed models. The applications of the proposed models are demonstrated in the context of a case study. Furthermore, the results showed that the iterative model can focus on the expenditure minimization strategy and the integrated model can focus on the transparency and efficiency strategies.
Keywords: Supply chain; Efficiency; Sustainability; Covid-19; Blockchain (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:
Downloads: (external link)
http://link.springer.com/10.1007/s10479-023-05562-5 Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:annopr:v:354:y:2025:i:1:d:10.1007_s10479-023-05562-5
Ordering information: This journal article can be ordered from
http://www.springer.com/journal/10479
DOI: 10.1007/s10479-023-05562-5
Access Statistics for this article
Annals of Operations Research is currently edited by Endre Boros
More articles in Annals of Operations Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().