RAM Analysis of Industrial System of a Chemical Industry

Gopal, Nand; Panchal, Dilbagh; Tyagi, Mohit

doi:10.1007/978-3-030-70151-2_2

Cited by 2 publications

(3 citation statements)

References 28 publications

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“…Grey numbers consist of intervals of numbers; one is lower bound, and the other is the upper bound. This means that a linguistic value has been transformed to a range of numbers (grey number) instead of a crisp set that expresses the value as either zero or 1 61,62) . This course assists in incorporating the uncertainty in the problem, which then results in attaining sturdy results.…”

Section: Solution Methodologymentioning

confidence: 99%

Circular Economy Reinforcement to Diminish GHG Emissions: A grey DEMATEL Approach

Agarwal¹,

Tyagi²,

Garg³

2023

Evergreen

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GHG emissions cause climate change and environmental degradation. The proposed research examines the role of CE in reducing GHG emissions to achieve sustainable goals and an evergreen future by recirculating materials and products. The present work identified thirteen essential CE strategies from a literature review and expert perspective to reduce GHG emissions in India's rubber industry. To provide a comprehensive explanation of the problem, the identified CE strategies were ranked by importance and categorised using the grey DEMATEL (G-DEMATEL) approach. The study offers managers and policymakers a work plan to reduce the carbon footprint.

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Section: Solution Methodologymentioning

confidence: 99%

Circular Economy Reinforcement to Diminish GHG Emissions: A grey DEMATEL Approach

Agarwal¹,

Tyagi²,

Garg³

2023

Evergreen

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“…Jakkula et al (2022) investigated load haul dumpers through measuring their reliability characteristics. Gopal et al (2021) performed the RAM evaluation of industrial equipment's utilized in chemical industry. Goyal et al (2019) and Saini et al (2020) carried out RAMD analysis for complex industrial systems like sewage treatment plan and microprocessor systems.…”

Section: Introductionmentioning

confidence: 99%

“…(2022) investigated load haul dumpers through measuring their reliability characteristics. Gopal et al. (2021) performed the RAM evaluation of industrial equipment's utilized in chemical industry.…”

Section: Introductionmentioning

confidence: 99%

Reliability and maintainability optimization of load haul dump machines using genetic algorithm and particle swarm optimization

Saini

Sinwar

Swarith

et al. 2022

JQME

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PurposeReliability and maintainability estimation of any system depends on the identification of the best-fitted probability distribution of failure and repair rates. The parameters of the best-fitted probability distribution are also contributing significantly to reliability estimation. In this work, a case study of load haul dump (LHD) machines is illustrated that consider the optimization of failure and repair rate parameters using two well established metaheuristic approaches, namely, genetic algorithm (GA) and particle swarm optimization (PSO). This paper aims to analyze the aforementioned points.Design/methodology/approachThe data on time between failures (TBF) and time to repairs (TTR) are collected for a LHD machine. The descriptive statistical analysis of TBF & TTR data is performed, trend and serial correlation tested and using Anderson–Darling (AD) value best-fitted distributions are identified for repair and failure times of various subsystems. The traditional methods of estimation like maximum likelihood estimation, method of moments, least-square estimation method help only in finding the local solution. Here, for finding the global solution two well-known metaheuristic approaches are applied.FindingsThe reliability of the LHD machine after 60 days on the real data set is 28.55%, using GA on 250 generations is 17.64%, and using PSO on 100 generations and 100 iterations is 30.25%. The PSO technique gives the global best value of reliability.Practical implicationsThe present work will be very convenient for reliability engineers, researchers and maintenance managers to understand the failure and repair pattern of LHD machines. The same methodology can be applied in other process industries also.Originality/valueIn this case study, initially likelihood function of the best-fitted distribution is optimized by GA and PSO. Reliability and maintainability of LHD machines evaluated by the traditional approach, GA and PSO are compared. These results will be very helpful for maintenance engineers to plan new maintenance strategies for better functioning of LHD machines.

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RAM Analysis of Industrial System of a Chemical Industry

Cited by 2 publications

References 28 publications

Circular Economy Reinforcement to Diminish GHG Emissions: A grey DEMATEL Approach

Circular Economy Reinforcement to Diminish GHG Emissions: A grey DEMATEL Approach

Reliability and maintainability optimization of load haul dump machines using genetic algorithm and particle swarm optimization

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