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S. Srivatsa Srinivas

Researcher at Indian Institute of Management Ahmedabad

Publications -  13
Citations -  184

S. Srivatsa Srinivas is an academic researcher from Indian Institute of Management Ahmedabad. The author has contributed to research in topics: Queue & Supply chain. The author has an hindex of 5, co-authored 10 publications receiving 103 citations. Previous affiliations of S. Srivatsa Srinivas include Anna University & College of Engineering, Guindy.

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Moving towards “mobile warehouse”: Last-mile logistics during COVID-19 and beyond

TL;DR: In this article, the authors present a review of literature related to last-mile logistics and supply chain disruptions to identify the limitations of existing last mile delivery practices during COVID-19.
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A review of the quality evolution in various organisations

TL;DR: A review of the quality principles such as Total Quality Management, Lean, Six Sigma and Lean Six Sigma is discussed in order to provide an understanding for implementing quality principles in different organisations, which includes manufacturing, service, healthcare, government, non-profit organisations, transportation and logistics, process industry, etc.
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Optimization of process parameters in feed manufacturing using artificial neural network

TL;DR: An analysis of Polak-Ribiere conjugate gradient backpropagation training function with log sigmoid - pure linear transfer function combination provided good results among the different available alternatives for poultry feed recipe prediction.
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Vehicle routing problem and driver behaviour: a review and framework for analysis

TL;DR: In this paper, a review of existing models of vehicle routing problems, planner behaviour models in the VRP context and driver behaviour models is presented and provided a motivation to inte...
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Failure analysis of automobile spares in a manufacturing supply chain distribution centre using Six Sigma DMAIC framework

TL;DR: The root cause of this problem arising in the distribution centre is identified to be the packing method and an economic solution to the existing cause is implemented with minor variations in the current packing method, and the results are discussed.