S
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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Analysis of inventory control model with shortage under time-dependent demand and time-varying holding cost including stochastic deterioration
TL;DR: The main purpose of the paper is to investigate the optimal retailer’s replenishment decisions for deteriorating items including time-dependent demand for demonstrating more practical circumstances within economic-order quantity frameworks.
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Multi-choice stochastic transportation problem involving extreme value distribution
TL;DR: In this article, the authors considered a multi choice stochastic transportation problem where the supply and demand parameters of the constraints follow extreme value distribution and some of the cost coefficients of the objective function are multi-choice type.
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Conic scalarization approach to solve multi-choice multi-objective transportation problem with interval goal
TL;DR: The approaches of revised multi-choice goal programming (RMCGP) and conic scalarizing function into the MOTP are proposed and compared and two numerical examples are presented to show the feasibility and usefulness of the paper.
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Multi-objective two-stage grey transportation problem using utility function with goals
TL;DR: The mathematical model of Two-Stage Multi-Objective Transportation Problem (MOTP) is formulated where the feasibility space is designed based on the selection of goal values and a utility function for selecting the goals of the objective functions is introduced.
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Effect of variable carbon emission in a multi-objective transportation-p-facility location problem under neutrosophic environment
TL;DR: This study delineates the stated formulation in which the total transportation cost, transportation time, and carbon emission cost from existing sites to p-facilities will be minimized and a hybrid approach is improved based on an alternating locate-allocate heuristic and the neutrosophic compromise programming to obtain the non-dominated solution.