An Application of Analytic Hierarchy Process (AHP) and Sensitivity Analysis for Maintenance Policy Selection

Maletič, Matjaž; Lovrenčić, Viktor; Al‐Najjar, Basim; Gomišček, Boštjan

doi:10.2478/orga-2014-0016

Cited by 29 publications

(17 citation statements)

References 44 publications

(63 reference statements)

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“…If the ranking is highly sensitive to small changes in the criteria weights, a careful review of the weights is recommended. Also, additional decision criteria should be included as a highly sensitive ranking point to a weak discrimination potential of the present set of criteria (Chang et al, 2007; Maletič et al, 2014).…”

Section: Resultsmentioning

confidence: 99%

Identifying sustainable options for rice husk valorization using the analytic hierarchy process

et al. 2019

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Rice husk is a major waste of paddy rice cultivation, produced in very high quantities, with no specific applications in the past. However, considering physical and chemical properties of this material, the use of rice husk could be of major economic and environmental significance depending on possible utilization options. Therefore, finding sustainable ways of using rice husk is essential for a large rice producing country like Iran. The main aim of the present study was to identify the most suitable options for using rice husk to accomplish the goals of sustainable rice production and valorization in Guilan Province, Iran. To this end, we employed the analytic hierarchy process and the opinions of experts for exploring the most important potential applications of rice husk for industrial purposes, for energy generation, use as animal feed, for soil improvement, for mulching, and disposal by burning from economic, environmental, and social perspective. Among the studied indices, the economic criteria had the highest importance score (0.498) in determining the best applications of rice husk, followed by environmental and social indices (0.276 and 0.225, respectively). From the economic perspective, the use of rice husk waste for industrial purposes (0.349) was assessed to be more economical than use in other sectors. From the environmental perspective, rice husk was preferred to be used for soil improvement. Finally, from the social perspective, the use of rice husk for industrial use (0.315) was also assessed to be more socially compatible than its other uses. Overall, the application of rice husk in industry was prioritized by respondents with weight 0.299, with next priority its use for energy generation or processing with weight 0.188, showing a slight superiority over its application for soil amendment. The findings not only aid in selecting the best alternative for husk exploitation but also help decision makers to understand why an alternative is preferred over the other options.

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Section: Resultsmentioning

confidence: 99%

Identifying sustainable options for rice husk valorization using the analytic hierarchy process

et al. 2019

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“…AHP was introduced by Saaty (1980) as a method that can be used to solve complicated and unstructured problems. It provides a way to deal effectively with complex decision making (Maletič et al, 2014). Decision-making task in this method is completed in four steps:…”

Section: Ahp Methods and Reviewmentioning

confidence: 99%

“…More specifically, this process became very important in selection of machine tools for manufacturing companies (Ayağ and Özdemir, 2006). These companies need to make decisions which can reduce the delivery time to customers, achieve high quality of products, and reduce costs (Çimren et al, 2006;Carnero, 2014;Maletič et al, 2014). We believe this is an important issue in selection of machine tool configurations which is considered as multiple criteria decision-making problem.…”

Section: Introductionmentioning

confidence: 99%

Use of AHP in decision-making for machine tool configurations

Farhan

Tolouei‐Rad

Osseiran

2016

JMTM

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Purpose - The purpose of this paper is to develop a model of analytic hierarchy process (AHP), a multiple criteria decision-making method, to assist selecting suitable machine configurations for special purpose machines (SPMs) from available alternatives. Design/methodology/approach - The necessary criteria and sub-criteria were identified and used in the developed model. The assessment process was carried out by constructing the hierarchy of four levels. Then, pairwise comparison matrices were created for each level to compute the weights for the alternatives. The model was programmed and implemented by software for practical use. Findings - Different scenarios were obtained from the assessment process of the developed AHP model showing the influence of changing the relevant importance of the elements in the hierarchy on the selection of SPMs configurations. Selection of the suitable scenario was also affected by some factors of manufacturing preferences and industry recommendations such as cost and production rate. Originality/value - This is a new application of AHP method which assists decision makers to select suitable configurations for SPMs, and reduce the time required for designing SPMs

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“…Maletič et al [33] apply AHP for the evaluation/ selection of maintenance policy. Many different multiple criteria decision-making (MCDM) methods were also adopted in maintenance strategy selection.…”

Section: Maintenance Strategy Selectionmentioning

confidence: 99%

Evaluating Company's Maintenance Strategy Effectiveness by Maintenance Improvement Index - A Case Study

Maletič¹,

Gomišček²

2016

AMS

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The purpose of this paper is to present development of a methodology for identifying improvement areas and supporting decision making process in the field of maintenance; an index for measuring the performance level of different maintenance approaches is proposed. Empirical data for this case study was drawn from a Slovenian textile company. The results of this study indicate that from respondents' points of view, maintenance practices related to condition-based maintenance approach represent the highest opportunity for improvements in this company. Further, this study provides key insights for managers to evaluate maintenance approaches, and to identify potential areas for improvements. In this regard, companies can gain a better understanding of how to measure and diagnose the effectiveness of the selected (implemented) maintenance strategy. As such, the presented work provides an intuitive and simple approach to identify the areas where a company effectively deploys its resources, and those areas that need more attention. Presented approach therefore represents an effective way of selecting areas for improvements for companies searching an approach how to improve effectiveness of maintenance strategy, and therefore company's competitiveness.

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An Application of Analytic Hierarchy Process (AHP) and Sensitivity Analysis for Maintenance Policy Selection

Cited by 29 publications

References 44 publications

Identifying sustainable options for rice husk valorization using the analytic hierarchy process

Identifying sustainable options for rice husk valorization using the analytic hierarchy process

Use of AHP in decision-making for machine tool configurations

Evaluating Company's Maintenance Strategy Effectiveness by Maintenance Improvement Index - A Case Study

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