An integrated approach to joint production planning and reliability-based multi-level preventive maintenance scheduling optimisation for a deteriorating system considering due-date satisfaction

Gharoun, Hassan; Hamid, Mahdi; Torabi, S. Ali

doi:10.1080/23302674.2021.1941394

Cited by 11 publications

(11 citation statements)

References 63 publications

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“…BWM is a pairwise comparison method that provides more reliable results than similar methods [24][25][26][27]. It is used to calculate the optimal weight of each indicator [28].…”

Section: Best Worst Methodsmentioning

confidence: 99%

An integrated framework to assess and improve the financial soundness of private banks

et al. 2023

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According to significant challenges of the banks, there is a greater need to assess the existing banking system and implement corrective actions. In this paper, the financial soundness of 11 Iranian private banks is evaluated by using the CAMELS indicators (Capital adequacy, Asset quality, Management, Earning, Liquidity, and Sensitivity to market risk). The weights of indicators are determined using the Best-Worst Method (BWM). Data Envelopment Analysis (DEA) is consequently used to calculate the efficiency score of the Decision-Making Units (DMUs). Principal Component Analysis (PCA) is used to validate the DEA results. Also, several sensitivity analyses are conducted on private banks. The intuitive results of sensitivity analysis prove accurate as demonstrated by statistical tests. The results of sensitivity analysis and statistical tests demonstrate that Iranian private banks have the best performance in terms of the indicators of Management and Capital adequacy, and the poorest performance in terms of Asset quality. Also, using the Strengths-Weaknesses-Opportunities-Threats (SWOT) matrix, the authors present appropriate strategies for improving the performance of the banking system. To the best of our knowledge, the present study for the first time aims to assess and improve financial soundness of private banks by using a combination of qualitative and quantitative methods.

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“…BWM is a pairwise comparison method that provides more reliable results than similar methods [24][25][26][27]. It is used to calculate the optimal weight of each indicator [28].…”

Section: Best Worst Methodsmentioning

confidence: 99%

An integrated framework to assess and improve the financial soundness of private banks

et al. 2023

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“…For instance, it is not required to establish a connection between inputs and outputs. Additionally, the units of the inputs and outputs might be somewhat dissimilar [ 14 , 23 ]. Above all, unlike many other techniques, there is no requirement for an explicit mathematical representation of the production function.…”

Section: Methodsmentioning

confidence: 99%

An intelligent algorithm to evaluate and improve the performance of a home healthcare center considering trust indicators

Torabzadeh¹,

Tavakkoli–Moghaddam²,

Samieinasab³

et al. 2022

Computers in Biology and Medicine

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“…Model of a serial-parallel multistage manufacturing system's production, quality control, and preventive maintenance [37]. Each stage has many machines to achieve productivity and line balance requirements.…”

Section: Review Of Related Work On Maintainability Scheduling In the ...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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An integrated approach to joint production planning and reliability-based multi-level preventive maintenance scheduling optimisation for a deteriorating system considering due-date satisfaction

Cited by 11 publications

References 63 publications

An integrated framework to assess and improve the financial soundness of private banks

An integrated framework to assess and improve the financial soundness of private banks

An intelligent algorithm to evaluate and improve the performance of a home healthcare center considering trust indicators

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

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