Vipul Jain

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1999 Chemical Engineering Carnegie Mellon University, Pittsburgh, PA 
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Mostofi A, Jain V, Kumar S, et al. (2023) A game theory data science-based mechanism for licensed pharmaceutical products concerning their deterioration: a case of a micro, small, and medium enterprise in Iran. Annals of Operations Research. 1-35
Jain V, Kumar S, Mostofi A, et al. (2022) Sustainability performance evaluation of the E-waste closed-loop supply chain with the SCOR model. Waste Management (New York, N.Y.). 147: 36-47
Soni G, Prakash S, Kumar H, et al. (2020) An interpretive structural modeling of drivers and barriers of sustainable supply chain management: A case of stone industry Management of Environmental Quality: An International Journal. 31: 1071-1090
Farooque M, Jain V, Zhang A, et al. (2020) Fuzzy DEMATEL analysis of barriers to Blockchain-based life cycle assessment in China Computers & Industrial Engineering. 147: 106684
Prakash S, Kumar S, Soni G, et al. (2020) Closed-loop supply chain network design and modelling under risks and demand uncertainty: an integrated robust optimization approach Annals of Operations Research. 290: 837-864
Sakhuja S, Jain V. (2019) Structural investigation of service supply chain: a social network analysis approach International Journal of Business and Systems Research. 13: 404
Sakhuja S, Jain V, Jain S. (2019) Comparing third-party logistics network and fourth-party logistics network using social network analysis approach International Journal of Business Forecasting and Marketing Intelligence. 5: 205
Soni G, Jain V, Chan FTS, et al. (2019) Swarm intelligence approaches in supply chain management: potentials, challenges and future research directions Supply Chain Management. 24: 107-123
Panigrahi SS, Bahinipati B, Jain V. (2019) Sustainable supply chain management: A review of literature and implications for future research Management of Environmental Quality: An International Journal. 30: 1001-1049
Bottani E, Centobelli P, Gallo M, et al. (2019) Modelling wholesale distribution operations: an artificial intelligence framework Industrial Management and Data Systems. 119: 698-718
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