J
Jhareswar Maiti
Researcher at Indian Institute of Technology Kharagpur
Publications - 151
Citations - 3953
Jhareswar Maiti is an academic researcher from Indian Institute of Technology Kharagpur. The author has contributed to research in topics: Poison control & Computer science. The author has an hindex of 28, co-authored 123 publications receiving 2839 citations. Previous affiliations of Jhareswar Maiti include Indian Institutes of Technology & Yahoo!.
Papers
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Risk-based maintenance—Techniques and applications
N.S. Arunraj,Jhareswar Maiti +1 more
TL;DR: There is no unique way to perform risk analysis and risk-based maintenance, and the use of suitable techniques and methodologies, careful investigation during the risk analysis phase, and its detailed and structured results are necessary to make proper risk- based maintenance decisions.
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Occupational injury and accident research: A comprehensive review
TL;DR: The issues on risk assessment, accident causation, and intervention strategies are discussed progressively and the distinctiveness and overlaps in accident and injury research are highlighted.
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The role of behavioral factors on safety management in underground mines
TL;DR: In this article, the authors examined the role of behavioral factors on the occurrence of mine accidents and injuries through a case study and found that negative affectivity, job dissatisfaction, and risk taking behaviors predict an increased number of injuries in mines.
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Risk-based maintenance policy selection using AHP and goal programming
N.S. Arunraj,Jhareswar Maiti +1 more
TL;DR: In this paper, an approach of maintenance selection based on risk of equipment failure and cost of maintenance is presented, where analytic hierarchy process (AHP) and goal programming (GP) are used for maintenance policy selection.
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Risk analysis using FMEA
Saptarshi Mandal,Jhareswar Maiti +1 more
TL;DR: A new methodology integrating the concepts of similarity value measure of fuzzy numbers and possibility theory for FMEA is developed, which is more robust in nature as it does not require arbitrary precise operations like de-fuzzification to prioritise the failure modes.