Ranking manufacturing processes from the quality management perspective in the automotive industry

Nestić, Snežana; Lampón, Jesús F.; Aleksić, Aleksandar; Cabanelas, P.; Tadić, Danijela

doi:10.1111/exsy.12451

Cited by 19 publications

(14 citation statements)

References 38 publications

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“…It is assumed that DMs may assess the relative importance of criteria in the direct manner. In the literature, the fuzzy rating aggregation of DMs into unique assessment is based on aggregation operators in many cases (Nestic et al, 2019). In this way, the treated criteria are considered independently.…”

Section: Criteria Weightsmentioning

confidence: 99%

Evaluation and ranking of insurance companies by combining TOPSIS and the interval fuzzy rough sets

Mimović¹,

Tadić²,

Borota-Tišma³

et al. 2021

Serb J Management

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Corporate and organizational performance assessment is an important activity for both the managers and other stakeholders, as it provides them with an asset to evaluate their own strengths and weaknesses in relation to the competition, as well as guidelines for selecting appropriate measures to address the existing problems. The issue of criteria selection has been overcome through the literature review and the issue of criteria weights is handled by applying group decision making procedure. The procedure itself consists of using predefined linguistic expressions that are modelled by triangular fuzzy numbers and the aggregation of decision makers' opinion based on the rules of rough sets algebra. The values of the decision matrix are determined by prognosis method and they are described by crisp values. The proposed algorithm is tested on the insurance companies that operate in the Republic of Serbia.

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Section: Criteria Weightsmentioning

confidence: 99%

Evaluation and ranking of insurance companies by combining TOPSIS and the interval fuzzy rough sets

Mimović¹,

Tadić²,

Borota-Tišma³

et al. 2021

Serb J Management

Self Cite

View full text Add to dashboard Cite

show abstract

“…Fuzzy decision-making model justification (ELECTRE III) was employed to rank the manufacturing processes involved in the automobile industry in view of quality management perspective. 20 The authors reported that the proposed methodology can also be useful in everyday business operations as a total quality management asset. CES selector software was employed to select the most suitable PCM from more than 300 PCMs having a temperature range from −50 C to 150 C for building applications.…”

Section: Introductionmentioning

confidence: 98%

“…Fuzzy decision‐making model justification (ELECTRE III) was employed to rank the manufacturing processes involved in the automobile industry in view of quality management perspective 20 . The authors reported that the proposed methodology can also be useful in everyday business operations as a total quality management asset.…”

Section: Introductionmentioning

confidence: 99%

Selection of phase‐change material for thermal management of electronic devices usingmulti‐attributedecision‐making technique

et al. 2020

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Selection of proper phase-change material (PCM) plays a crucial role in the development of latent heat thermal management module. Very often, selection of improper material leads to early failure of the product which results in huge economic loss. Most of the researchers utilize PCM in a particular application based on their experience and availability. The designer needs to consider all possible alternatives and evaluate in terms of various conflicting criteria or attributes. The optimal selection of PCM for a particular application is a multiattribute decision-making problem. Here, two evaluation techniques such as technique for order of preference by similarity to ideal solution (TOPSIS) and fuzzy TOPSIS are employed to select the optimal PCM for thermal management of electronic components. The analytical hierarchy process technique is utilized to determine the weight of the attributes. The present study considers 30 PCMs and 11 attributes for the selection of best PCM. The results are compared with both the methods and it is observed that RT 44 HC is found to be optimal PCM for thermal management of electronic components. The model is validated and results are found to be in good agreement with the existing experimental results.

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“…In practice, the basic task of the reliability manager is how to choose a set of quality methods whose application of the considered problem can be effectively solved in the shortest possible time. Many authors suggest that the choice of quality methods should be based on the priority of failures [8][9][10][11]. Experiences of best practice show that decision makers (DMs), when choosing quality methods, respect many criteria besides the priority of failures.…”

Section: Introductionmentioning

confidence: 99%

Evaluation and Selection of the Quality Methods for Manufacturing Process Reliability Improvement—Intuitionistic Fuzzy Sets and Genetic Algorithm Approach

et al. 2021

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The aim of this research is to propose a hybrid decision-making model for evaluation and selection of quality methods whose application leads to improved reliability of manufacturing in the process industry. Evaluation of failures and determination of their priorities are based on failure mode and effect analysis (FMEA), which is a widely used framework in practice combining with triangular intuitionistic fuzzy numbers (TIFNs). The all-existing uncertainties in the relative importance of the risk factors (RFs), their values, applicability of the quality methods, as well as implementation costs are described by pre-defined linguistic terms which are modeled by the TIFNs. The selection of quality methods is stated as the rubber knapsack problem which is decomposed into subproblems with a certain number of solution elements. The solution of this problem is found by using genetic algorithm (GA). The model is verified through the case study with the real-life data originating from a significant number of organizations from one region. It is shown that the proposed model is highly suitable as a decision-making tool for improving the manufacturing process reliability in small and medium enterprises (SMEs) of process industry.

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Ranking manufacturing processes from the quality management perspective in the automotive industry

Cited by 19 publications

References 38 publications

Evaluation and ranking of insurance companies by combining TOPSIS and the interval fuzzy rough sets

Evaluation and ranking of insurance companies by combining TOPSIS and the interval fuzzy rough sets

Selection of phase‐change material for thermal management of electronic devices usingmulti‐attributedecision‐making technique

Evaluation and Selection of the Quality Methods for Manufacturing Process Reliability Improvement—Intuitionistic Fuzzy Sets and Genetic Algorithm Approach

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