D
Dipankar Chakraborty
Researcher at Heritage Institute of Technology
Publications - 24
Citations - 434
Dipankar Chakraborty is an academic researcher from Heritage Institute of Technology. The author has contributed to research in topics: Fuzzy logic & Fuzzy number. The author has an hindex of 11, co-authored 22 publications receiving 309 citations. Previous affiliations of Dipankar Chakraborty include Haldia Institute of Technology & Indian Institute of Engineering Science and Technology, Shibpur.
Papers
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Multi-item integrated supply chain model for deteriorating items with stock dependent demand under fuzzy random and bifuzzy environments
TL;DR: This paper has investigated multi-item integrated production-inventory models of supplier and retailer with a constant rate of deterioration under stock dependent demand and formulated deterministic optimization models for minimizing the entire monetary value of the supply chain.
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Two-warehouse partial backlogging inventory model with ramp type demand rate, three-parameter Weibull distribution deterioration under inflation and permissible delay in payments
TL;DR: Two warehouse inventory models with ramp type demand rate and three-parameter Weibull distribution deterioration (ThPWD) under inflationary conditions, where permissible delay in payment is available for retailer if outstanding amount is compensated within the given credit period are developed.
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Arithmetic operations on generalized intuitionistic fuzzy number and its applications to transportation problem
TL;DR: This paper has developed a generalized intuitionistic fuzzy number and its arithmetic operations and it is a unique attempt made in which for the first time two basic generalized intuitionism fuzzy numbers namely generalized trapezoidal and generalized triangular intuitionists fuzzy numbers have been considered to serve the purpose.
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A new approach to solve multi-objective multi-choice multi-item Atanassov's intuitionistic fuzzy transportation problem using chance operator
TL;DR: Possibility, necessity and credibility measures for Atanassov's intuitionistic fuzzy numbers for the first time have been developed here.