Assessing the impact of maintenance practices on asset's sustainability

Ghaleb, Mageed; Taghipour, Sharareh

doi:10.1016/j.ress.2022.108810

Cited by 19 publications

(14 citation statements)

References 54 publications

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“…The DDEA model in this study uses a model delivered [20], which is input-oriented to minimize input concerning fixed output. Still, adjustments are made to input variables according to the results of identifying sustainability indicators conveyed [8], [15] so that the model used in this study becomes as shown in Figure 1.…”

Section: Data Analysis Methodsmentioning

confidence: 99%

“…This illustrates that industrial activities that produce a product's economic value also impact society and the safety and health of the surrounding environment. Thus, compliance in asset maintenance, production processes, and manufacturing processes during operations must always be controlled to reduce the impact of industry on the economy, society, and the surrounding environment [8].…”

Section: Introductionmentioning

confidence: 99%

“…However, changes in the utilization of physical assets between different entities certainly have an impact not only on the life cycle but also on the risk of maintaining sustainable assets. This is to ensure safety, availability, and reliability, as well as the provision of products according to the required quality [8].…”

Section: Introductionmentioning

confidence: 99%

“…[15] in their research through empirical studies using the case exploration method, retested [16] model of 80 sustainability indicators (43 economic aspect indicators, 20 social aspect indicators, and 17 environmental aspect indicators) as a measure of industrial sustainability performance in the manufacturing industry in Italy and Germany. [8]in their research, assessed the impact of maintenance practices on asset sustainability in manufacturing companies located in the German region by measuring the level of efficiency in environmental, social, and economic aspects.…”

Section: Introductionmentioning

confidence: 99%

“…Researchers need to consider the variables conveyed by [8] in evaluating sustainability assets, namely by evaluating other aspects, such as aspects of the environmental budget level and aspects of the health budget level. In addition, it is necessary to consider long-term business conditions.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Improving Sustainability Asset Performance Based on Dynamic Data Envelopment Analysis

Nugraha,

Cahyo

2023

IOP Conf. Ser.: Earth Environ. Sci.

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The success of an industry is often measured through sustainability performance because it serves as a benchmark of consideration for asset managers in carrying out actions, planning, and decisions. However, changes in the utilization of physical assets between entities impact not only the life cycle of these assets but also sustainability assets that will affect company performance in terms of controlling company efficiency. The DDEA method is an analytical method that can be used to assess the level of efficiency of the performance of sustainability assets. The performance of sustainability assets is measured using variable maintenance costs, asset availability, material consumption as an economic aspect, variable environmental impact costs, employee health costs, and accidents and incidents as social aspects. In addition, material rejects variables, hazardous waste, and energy consumption costs as environmental aspects. From the results of the analysis of sustainability asset performance through the DDEA method in the period 2018–2022, it shows that both before and after organizational changes have no significant impact. This is shown by the level of efficiency of sustainability asset indicators on the impact of organizational change found in DMU 1, DMU 2, DMU 3, DMU 5, DMU 6, DMU 9, and DMU 10. The achievement of constant or efficient conditions with input-oriented CRS efficiency is at a score of 1. While DMU 4, DMU 7, and DMU 8 show increasing conditions with input-oriented CRS efficiency at less than 1.

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Section: Data Analysis Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%