Reliability assessment for multi-state automatic ticket vending machine (ATVM) through software and hardware failures

Kumar, Amit; Kumar, Pawan

doi:10.1108/jqme-08-2020-0089

Cited by 4 publications

(1 citation statement)

References 32 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Gandhare and Akarte (2022) discussed the impact of maintenance in agro-based industries. Kumar and Kumar (2022) investigated the performance of multi-state automatic ticket vending machine through reliability measures subject to software and hardware failures. Dellagi and Darghouth (2022) discussed an improved imperfect maintenance strategy under stochastic repair times concept.…”

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

View full text Add to dashboard Cite

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.

show abstract

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

View full text Add to dashboard Cite

show abstract

Analyzing the Reliability of a Pumping System through the Application of Copula Analysis

Elshoubary,

Radwan

2024

International Journal of Mathematics and Mathematical Sciences

View full text Add to dashboard Cite

This paper derives and evaluates the reliability measures for a model pumping system composed of six subsystems linked in series: subsystems 1, 2, and 6, each comprising one unit, while subsystems 3 and 5 each contain three units operating in parallel. Subsystem 4 contains three units effectively operating in series. Unit failure rates are assumed to be constant, while repair rates are modeled by either a general distribution or, in the event of system failure, a Gumbel–Hougaard copula. The Laplace transform and additional supplementary variable approaches are employed to solve the system. The conventional measures of reliability are computed for a range of parameter values and as functions of time. In addition, tables are presented containing parameters for different cases, accompanied by a discussion of how they were chosen and their impact on the results.

show abstract

Quantifying Reliability Indices of Garbage Data Collection IOT-based Sensor Systems using Markov Birth-death Process

Kumar,

Kumar

2023

Int. j. math. eng. manag. sci.

Self Cite

View full text Add to dashboard Cite

The aim of this paper is to analyze the performance of a Garbage data collecting sensor network system (GDCSNS) through mathematical modelling and a reliability approach. The reliability assessment of such a system is essential to ensuring that it can collect data related to garbage at different locations consistently and accurately. After the determination of the reliability measures of the system, the next aim is to identify the weakest sensors of the system so that a timely maintenance strategy for the weakest sensor can be planned to avoid disruption in the collection of data from the sensor systems. In the considered system, three sensors have been installed at various location in the city that send the information to the center office (hub point) and then from the center office to the person who is responsible for collecting the garbage from the location and dumping it at some predefined places. These sensors collect data related to garbage level, weight, and other information and send it to computers at the city's central office. Markov modelling has been used to model the system. Based on the mathematical model, a state transition diagram and a set of Kolmogorov time-dependent differential equations have been obtained. The various state probabilities (explicit expressions) related to the performance of the system, namely, Reliability, Mean time to failure, have been obtained to understand the different maintenance policies that can be used. A sensitivity analysis has also been performed to determine the weakest sensor among the sensors.

show abstract

Reliability assessment for multi-state automatic ticket vending machine (ATVM) through software and hardware failures

Cited by 4 publications

References 32 publications

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

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

Analyzing the Reliability of a Pumping System through the Application of Copula Analysis

Quantifying Reliability Indices of Garbage Data Collection IOT-based Sensor Systems using Markov Birth-death Process

Contact Info

Product

Resources

About