Machinery/Service system Scheduled Replacement time determination: A combine Weighted Aggregated Sum Product Assessment, Additive Ratio Assessment and Age Replacement Model approach

Emovon, Ikuobase; Mgbemena, Chinedum Ogonna

doi:10.30880/ijie.2018.10.01.016

Cited by 5 publications

(8 citation statements)

References 21 publications

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“…In the studies of the ARAS methods, to handle the complex decision-making problems more comprehensively, there are some researchers that combine the ARAS method with other kinds of decision-making methods to rank the alternatives**. These studies can be segmented to two categories, that is, the parallel combination-based studies, 23,27,37,41,44,50,[54][55][56]63,67,[72][73][74][75]83,86,96,97,99,[122][123][124][125][126][127] and the subsequent combinationbased studies. 46 For the studies belonging to the first category, the methods and the ARAS method derive rankings separately, and then researchers generally analyze the different rankings or aggregate the rankings into one final ranking.…”

Section: The Combination With Other Decision-making Methodsmentioning

confidence: 99%

“…For the parallel combination-based studies, some of them mainly started from the perspective of overviewing to analyze the features of different methods, 125 some combined different methods to decide the final ranking and analyzed the results derived from the different methods, 27,37,44,50,55,63,[72][73][74]86,96,97,99,[122][123][124]127 and the other had the specific procedure to aggregate the results derived from the different methods. 23,41,54,56,67,75,83 As Figure 10 shows, the analyses for the rankings derived from different methods mainly start from the following two perspectives: (1) correlation index, which mainly analyzes the correlation between the rankings.…”

Section: The Parallel Combination-based Studiesmentioning

confidence: 99%

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An overview of ARAS method: Theory development, application extension, and future challenge

Liu

Zhang

2021

Int J Intell Syst

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Multi‐attribute decision‐making (MADM) is one of the most important parts in decision‐making theory, and related research is becoming more and more popular over the past few years. Investigating that the information could be qualitative and quantitative, and the different measurement units cause difficulties in some MADM problems, the additive ratio assessment system (ARAS) method was proposed. The method tries to solve MADM problems through a simple way efficiently, and at the same time eliminates the influence of different measurement units. Till now, the method has received extensive attention and has been extended to different information environments and application fields. To know about the development of the method and improve the method efficiently, this paper reviews the studies on the ARAS method from the perspectives of basic information (including the bibliometrics analyses and the outline of ARAS method), the development on theory (including the development on MADM mechanism, different information environments, and combination with different methods), the development on the application and the future challenge. From the overview, the basic situations and the development of the ARAS method are presented clearly, and the analyses of the challenges can also provide useful and sufficient instructions for the future application and improvement of the method.

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Section: The Combination With Other Decision-making Methodsmentioning

confidence: 99%

Section: The Parallel Combination-based Studiesmentioning

confidence: 99%

An overview of ARAS method: Theory development, application extension, and future challenge

Liu

Zhang

2021

Int J Intell Syst

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“…Some authors have pointed out the drawbacks of the risk priority number (RPN) as they established that RPN is not able to depict exactly the severity of some failure modes especially when certain factors such as economic cost and environmental impact are involved in the risk analysis [30]. Consequently, some other authors integrated the weighted aggregated product assessment (WASPAS) into RCM as an alternative for prioritizing the use of the RPN [31]. The technique was said to improve the effectiveness of RCM as well as in the selection of an optimal maintenance strategy for some industrial applications [32].…”

Section: Other Logical Actionsmentioning

confidence: 99%

A Reliability-Centered Maintenance Study for an Individual Section-Forming Machine

et al. 2018

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This study investigated the breakdown trend in an automated production with an aim to recommend the application of reliability-centered maintenance (RCM) for improved productivity via a new preventive maintenance (PM) program. An individual section-forming machine (ISM)—a glass blowing machine for making glass bottles—was used as the case study for an automated production system. The machine parts and the working mechanisms were analysed with a special focus on methods of processes and procedures. This will enable the ISM maintenance department to run more effectively and achieve its essential goal of ensuring effective machine operation and reduction in machine downtime. In this work, information is provided on the steps and procedures to identify critical components of the ISM using failure modes and effect analysis (FMEA) as a tool to come up with an optimal and efficient maintenance program using the reliability data of the equipment’s functional components. A relationship between the failure rate of the machine components and the maintenance costs was established such that using the recommended PM program demonstrates evidence of an improvement in the machine’s availability, safety, and cost-effectiveness and will result in an increase in the company’s profit margin.

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“…For more simplified models of stone column treatments, such as gravel trenches or soil homogenization, calibrating or tuning model parameters using the unit cell as an auxiliary problem was recommended. Kardgar [23] and Das and Dey [24] analyzed the bearing capacity of a crushed stone pile foundation using a finite element analysis. Kardgar [23] found that even though a wider foundation, larger stone column diameter, and larger quantity of stone columns corresponded to an increase in the bearing capacity of the foundation, the effect of stone column length and encasement stiffness was more pronounced.…”

Section: Introductionmentioning

confidence: 99%

“…Kardgar [23] and Das and Dey [24] analyzed the bearing capacity of a crushed stone pile foundation using a finite element analysis. Kardgar [23] found that even though a wider foundation, larger stone column diameter, and larger quantity of stone columns corresponded to an increase in the bearing capacity of the foundation, the effect of stone column length and encasement stiffness was more pronounced. As such, these parameters can be considered critical factors in the analysis of shallow foundations in reinforced soil.…”

Section: Introductionmentioning

confidence: 99%

Dynamic Behavior of Ground Improved Using a Crushed Stone Foundation Wall

2019

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The improvement of soft clay and dredged soils to carry structures is increasingly important. In this study, the dynamic behavior of a crushed stone foundation wall in clay soil was analyzed using a 1g shaking table test. The response accelerations and spectra for three input ground motions were analyzed relative to the distance from the foundation wall, confirming that the acceleration was damped from the outside. The acceleration according to the distance from the wall was not significant under long-period motions, while different responses were obtained under short-period motions. The increased ground stiffness provided by the crushed stone wall lowered the natural period of the ground, and the acceleration amplification under short-period seismic waves was larger than that under long-period waves. Finally, equations were derived to describe the relationship between the acceleration amplification ratio and distance from the wall. The slopes of the proposed equations are larger under shorter periods, implying that the change in acceleration change with distance from the wall is more significant under shorter periods. The results of this study can be used to inform the design of soft soil improvements and the structures built atop them.

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Machinery/Service system Scheduled Replacement time determination: A combine Weighted Aggregated Sum Product Assessment, Additive Ratio Assessment and Age Replacement Model approach

Cited by 5 publications

References 21 publications

An overview of ARAS method: Theory development, application extension, and future challenge

An overview of ARAS method: Theory development, application extension, and future challenge

A Reliability-Centered Maintenance Study for an Individual Section-Forming Machine

Dynamic Behavior of Ground Improved Using a Crushed Stone Foundation Wall

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