Economic and environmental assessment of an unreliable supply chain management

Rekha Guchhait, Biswajit Sarkar

Research output: Contribution to journalArticlepeer-review

11 Citations (Scopus)


The retailers within a supply chain management are the most important player as it has direct contact with the customers. Customers are the source of the money and information for the entire supply chain management. The equilibrium condition of the forward and backward supply chain is tight until it is reliable. But sometimes the retailers hide information from the manufacturer and this unreliability starts to propagate to the entire supply chain management. Blockchain technology is one of the secure decentralized systems to prevent unreliability. This study eliminates the unreliability of the system. A mathematical model is derived where the vendor-managed inventory policy is used by the single manufacturer to deal with multiple unreliable retailers. The entire process of manufacturing emits carbon. The carbon emission is controlled by the cap and trade policy and by paying the carbon tax. The results are found by the classical optimization technique and the numerical studies open up a way to the blockchain to deal with unreliable retailers. The decentralized system is a probable choice to prevent unreliability and thus the blockchain.

Original languageEnglish
Pages (from-to)3153-3170
Number of pages18
JournalRAIRO - Operations Research
Issue number5
Publication statusPublished - 2021 Sept 1

Bibliographical note

Funding Information:
Acknowledgements. This work was supported (in part) by the Yonsei University Research Fund (Post Doc. Researcher Supporting Program) of 2020 (project no.: 2020-12-0136). The work is supported by the National Research Foundation of Korea (NRF) grant, funded by the Korea Government (MSIT) (NRF-2020R1F1A1064460).

Publisher Copyright:
© 2021 The authors. Published by EDP Sciences, ROADEF, SMAI.

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science Applications
  • Management Science and Operations Research


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