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Ritesh Kumar Singh

Researcher at Birla Institute of Technology, Mesra

Publications -  24
Citations -  886

Ritesh Kumar Singh is an academic researcher from Birla Institute of Technology, Mesra. The author has contributed to research in topics: Lean manufacturing & Decision support system. The author has an hindex of 11, co-authored 24 publications receiving 796 citations. Previous affiliations of Ritesh Kumar Singh include Birla Institute of Technology and Science.

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Implementing the Lean Sigma framework in an Indian SME: a case study

TL;DR: In this article, the authors proposed a Lean-Sigma framework to reduce the defect occurring in the final product (automobile accessories) manufactured by a die-casting process, which integrates Lean tools (current state map, 5S system, and total productive maintenance) within Six Sigma DMAIC methodology to enhance the bottom-line results and win customer loyalty.
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A fuzzy TOPSIS based approach for e-sourcing

TL;DR: A fuzzy TOPSIS based methodology along with a mechanism for determination of fuzzy linguistic value of each attribute is proposed in this article to address the imprecision of suppliers or decision makers in formulating the preference value of various attributes in MCDM.
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Lean tool selection in a die casting unit: a fuzzy-based decision support heuristic

TL;DR: In this article, a case study related to a die casting unit has been taken, where a hierarchy related to the decision problem has been developed to select the value stream mapping tools.
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Justification for the selection of a reconfigurable manufacturing system: a fuzzy analytical hierarchy based approach

TL;DR: In this paper, a decision-making module is established for the evaluation of existing and new generation manufacturing systems by trading off among the tangible and intangible design parameters, and fuzzy logic is introduced into the pairwise comparison of alternatives.
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A consensus based group decision making methodology for strategic selection problems of supply chain coordination

TL;DR: A fuzzy TOPSIS and soft consensus based group decision making methodology to solve the multi-criteria decision making (MCDM) problems in supply chain coordination, i.e., selection problems is presented.