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Mohd. Nishat Faisal

Researcher at Qatar University

Publications -  56
Citations -  2566

Mohd. Nishat Faisal is an academic researcher from Qatar University. The author has contributed to research in topics: Supply chain & Supply chain management. The author has an hindex of 21, co-authored 56 publications receiving 2161 citations. Previous affiliations of Mohd. Nishat Faisal include Indian Institute of Technology Delhi & Indian Institutes of Technology.

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Supply chain risk mitigation: modeling the enablers

TL;DR: There exists a group of enablers having a high driving power and low dependence requiring maximum attention and of strategic importance while another group consists of those variables which have high dependence and are the resultant actions.
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Sustainable supply chains: a study of interaction among the enablers

TL;DR: The paper shows that there exists a group of enablers having a high‐driving power and low‐dependence requiring maximum attention and of strategic importance while another group consists of those variables which have high dependence and are the resultant actions.
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Mapping supply chains on risk and customer sensitivity dimensions

TL;DR: A model is proposed by which suitable supply chain strategy can be selected based on customer sensitivity and risk alleviation competency dimension and it is recommended that the model be tested for those supply chains which have established themselves as lean, agile or leagile entities.
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Information risks management in supply chains: an assessment and mitigation framework

TL;DR: The research presents a classification of the enablers of information risks mitigation according to their driving power and dependence and presents a risk index to quantify information risks.
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An analytic network process model for municipal solid waste disposal options.

TL;DR: An evaluation method that can aid decision makers in a local civic body to prioritize and select appropriate municipal solid waste disposal methods using the analytic network process (ANP) super-matrix approach to measure the relative desirability of disposal alternatives.