Title: Risk analysis of CNG dispensing unit by fuzzy digraph matrix and Dempster-Shafer approach
Authors: Priyank Srivastava; Dinesh Khanduja; Subra Ganesan; Mohit Agarwal; Mridul Tulsiyan; Manik Tandon; Sumit Gupta
Addresses: Department of Mechanical Engineering, National Institute of Technology, Kurukshetra, India; Department of Mechanical Engineering, Amity University, Noida, India ' Department of Mechanical Engineering, National Institute of Technology, Kurukshetra, India ' Oakland University, Rochester, MI 48309, USA ' Department of Mechanical Engineering, Amity University, Noida, India ' Department of Mechanical Engineering, Amity University, Noida, India ' Department of Mechanical Engineering, Amity University, Noida, India ' Department of Mechanical Engineering, Amity University, Noida, India
Abstract: The CNG dispensing unit is an important investment for taking advantage of CNG fuel, though its handling is not as simple as other conventional fuels. The cost can only be realised if it is operated with maximum availability. In present research work, risk analysis of CNG dispensing unit has been exemplified by applying fuzzy digraph matrix and D-S theory. Forty-three failure causes have been identified, analysed and prioritised using the mentioned approach. The display error and regulator function failure for metering skid, internal valve failure and gasket damage for compressor, internal pipe leakage and PLC failure for priority panel, flow sensor, motherboard and valve failure for dispenser unit, plug and tank leakage have been identified as risk for CNG dispensing unit. The results from both the approaches show synergy. The risk identification and prioritisation results have been forwarded to maintenance engineer for critical analysis and proper maintenance planning.
Keywords: CNG; FDMA; D-S theory.
DOI: 10.1504/IJPQM.2019.102922
International Journal of Productivity and Quality Management, 2019 Vol.28 No.2, pp.227 - 255
Received: 01 May 2018
Accepted: 06 Aug 2018
Published online: 11 Oct 2019 *