M
Manoj Kumar Tiwari
Researcher at Indian Institute of Technology Kharagpur
Publications - 459
Citations - 18374
Manoj Kumar Tiwari is an academic researcher from Indian Institute of Technology Kharagpur. The author has contributed to research in topics: Supply chain & Genetic algorithm. The author has an hindex of 60, co-authored 428 publications receiving 15084 citations. Previous affiliations of Manoj Kumar Tiwari include Residence Inn by Marriott & University of Delhi.
Papers
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Modeling the metrics of lean, agile and leagile supply chain: An ANP-based approach
TL;DR: The paper explores the relationship among lead-time, cost, quality, and service level and the leanness and agility of a case supply chain in fast moving consumer goods business and the justification of the framework is presented, which encapsulates the market sensitiveness, process integration, information driver and flexibility measures of supply chain performance.
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Global supplier selection: a fuzzy-AHP approach
TL;DR: In this article, the importance of the political-economic situation, geographical location, infrastructure, financial background, performance history, risk factors, etc., have also been pointed out in particularly in the case of global supplier selection.
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Modeling agility of supply chain
TL;DR: In this paper, using interpretive structural modeling, interrelationships of the variables, influencing supply chain agility, have been derived, and these variables have been categorized according to their driving power and dependence.
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Impact of COVID-19 on logistics systems and disruptions in food supply chain
TL;DR: In this paper, an outbreak of deadly COVID-19 virus has not only taken the lives of people but also severely crippled the economy. Due to strict lockdown, the manufacturing and logistics activities have been suspended.
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Analyzing alternatives in reverse logistics for end-of-life computers: ANP and balanced scorecard approach
TL;DR: A combination of balanced scorecard and ANP-based approach proposed in this paper provides a more realistic and accurate representation of the problem for conducting reverse logistics operations for EOL computers.