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Sankar Kumar Roy

Researcher at Vidyasagar University

Publications -  145
Citations -  2897

Sankar Kumar Roy is an academic researcher from Vidyasagar University. The author has contributed to research in topics: Computer science & Transportation theory. The author has an hindex of 24, co-authored 109 publications receiving 1637 citations.

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Multi-objective fixed-charge solid transportation problem with product blending under intuitionistic fuzzy environment

TL;DR: A new ranking method is used to convert intuitionistic fuzzy multi-objective fixed-charge solid transportation problem with product blending to a deterministic form and a comparison is drawn between the obtained solutions extracted from the approaches.
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Application of Type-2 Fuzzy Logic to a Multiobjective Green Solid Transportation–Location Problem With Dwell Time Under Carbon Tax, Cap, and Offset Policy: Fuzzy Versus Nonfuzzy Techniques

TL;DR: An unprecedented integrated mathematical model for a green solid transportation system with dwell time to execute the carbon tax, cap, and offset regulation with twofold uncertainty is incorporated to provide a realistic transportation system.
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Designing an efficient blood supply chain network in crisis: neural learning, optimization and case study

TL;DR: An efficient blood supply chain that can fulfill hospitals blood demand quickly with the lowest cost is designed using simulation and optimization processes to avoid the worst consequences of a disaster using a neural-learning process.
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Multi-objective Transportation Problem with Cost Reliability Under Uncertain Environment

TL;DR: The concept of reliability is incorporated in the transportation cost and the effectiveness is justified through the proposed MOTP, and Fuzzy Multi-Choice Goal Programming (FMCGP) is used to select the proper goals to the objective functions of the MOTP.
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Solving a multi-objective transportation problem with nonlinear cost and multi-choice demand

TL;DR: In this paper, a mathematical model for a transportation problem consisting of a multi-objective environment with nonlinear cost and multi-choice demand was developed. But the objective functions of the proposed transportation problem are non-commensurable and conflict with each other.