Reliability, availability and maintainability (RAM) investigation of Load Haul Dumpers (LHDs): a case study

Jakkula, Balaraju; Mandela, Govinda Raj; Chivukula, Suryanarayana Murthy

doi:10.1007/s13198-021-01154-3

Cited by 4 publications

(3 citation statements)

References 22 publications

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“…The company must implement a training program with a particular emphasis on incorporating RAMS and risk analysis into maintenance procedures. According to Jakkula et al [57], load haul dumpers (LHDs) are a common equipment used for transportation operations in many underground mines. Due to several technical and managerial practices, this equipment frequently experiences breakdowns, which raises maintenance costs and reduces production and productivity.…”

Section: Reliability Optimisation In the Manufacturing Industry In Ni...mentioning

confidence: 99%

Improving the Maintainability and Reliability in Nigerian Industry 4.0: Its Challenges and the Way Forward from the Manufacturing Sector

Okokpujie,

Tartibu,

Omietimi

2023

IJSDP

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Due to the high demand for quality goods and products, most manufacturing industries run their equipment and manufacturing teams more than expected to meet the demands. However, they do not regularly conduct maintenance and reliability checks to ascertain the industry's well-being. Operating their manufacturing systems and processes to achieve the requisite production rates of high-quality goods is a constant challenge for manufacturing industries in Nigeria due to a need for maintainability. To improve performance, this paper recently reviewed Nigeria's manufacturing industries' maintainability and reliability. The study examined articles that cut across, Maintainability scheduling in the production system with the analysis of Industry 4.0 Technologies, the reliability optimisation in the manufacturing industry in Nigeria, and the effects of sustainable maintainability and reliability implementation on manufacturing systems and the sustainability issues. Furthermore, the research highlighted the manufacturing industries' challenges regarding maintainability and reliability. Some of these challenges are insecurity, lousy infrastructure, inadequate company growth plans, and irregular taxation, which affect the day-to-day running of the industry. One of the most significant issues facing the manufacturing sector today is inventory management; nonetheless, many small manufacturers still manage their stocks by hand. Furthermore, this study provides possible suggestions for a sustainable way forward for these identified problems. Nigerian manufacturing industries might adopt Industry 4.0 technology, which will assist in successfully adopting total preventive maintenance as a strategy and culture. This article recommends a maintenance culture in the manufacturing industry. It also recommends self-auditing and benchmarking as ideal preconditions for total productive maintenance.

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Section: Reliability Optimisation In the Manufacturing Industry In Ni...mentioning

confidence: 99%

Improving the Maintainability and Reliability in Nigerian Industry 4.0: Its Challenges and the Way Forward from the Manufacturing Sector

Okokpujie,

Tartibu,

Omietimi

2023

IJSDP

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“…Kumar and Singh (2020) conducted cost optimization and RAM analysis of several industrial sectors. 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.…”

Section: Introductionmentioning

confidence: 99%

“…Kumar and Singh (2020) conducted cost optimization and RAM analysis of several industrial sectors. Jakkula et al. (2022) investigated load haul dumpers through measuring their reliability characteristics.…”

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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Reliability, availability and maintainability analysis of hot standby database systems

Saini

Yadav

Kumar

2022

Int J Syst Assur Eng Manag

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Reliability, availability and maintainability (RAM) investigation of Load Haul Dumpers (LHDs): a case study

Cited by 4 publications

References 22 publications

Improving the Maintainability and Reliability in Nigerian Industry 4.0: Its Challenges and the Way Forward from the Manufacturing Sector

Improving the Maintainability and Reliability in Nigerian Industry 4.0: Its Challenges and the Way Forward from the Manufacturing Sector

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

Reliability, availability and maintainability analysis of hot standby database systems

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