Tapan Kumar Roy

Work place: Department of Mathematics, Indian Institute of Engineering Science and Technology, Howrah-711103, West Bengal, India.

E-mail: roy_t_k@yahoo.co.in


Research Interests: Combinatorial Optimization, Information Theory, Computability Theory


Tapan Kumar Roy is a professor in the Department of Mathematics, Indian Institute of Engineering Science and Technology, Shibpur, West Bengal, India. He has published lots of papers on Fuzzy and Intuitionistic Fuzzy set Theory, Inventory, Transportation, Reliability Optimization, Portfolio Optimization, Fuzzy and Stochastic Optimization, etc.

Author Articles
Fractional Order EOQ Model with Linear Trend of Time-Dependent Demand

By Asim Kumar Das Tapan Kumar Roy

DOI: https://doi.org/10.5815/ijisa.2015.03.06, Pub. Date: 8 Feb. 2015

In this paper we introduce the classical EOQ model with a linear trend of time-dependent demand having no shortages using the concept of fractional calculus. The application of fractional calculus has been already used in classical EOQ model where the demand is assumed to be constant. In this present article fractional differential calculus can be used to describe EOQ model with time-dependent linear trend of demand to develop more generalized EOQ model. Here, we want to discuss more deeply its role as a tool for describing the traditional classical EOQ model with time dependent demand.

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A Fuzzy Programming Technique for Solving Multi-objective Structural Problem

By Samir Deya Tapan Kumar Roy

DOI: https://doi.org/10.5815/ijem.2014.05.03, Pub. Date: 29 Dec. 2014

This paper proposes a new fuzzy multi-objective optimization approach to solve a multi-objective nonlinear programming problem in context of a structural design. We have been developed a multi-objective structural problem of a planar truss structural model in fuzzy environment. Here, the objectives are (i) to minimize weight of the structure and (ii) to minimize the vertical deflection at loading point. In this model, the design variables are the cross-section of the truss members and the constraints are the stresses in members. This approach is used to solve the structural model under uncertainty based on different operator. A numerical illustration is given to support our approach.

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Other Articles