FMEA-QFD Approach for Effective Risk Assessment in Distribution Processes

Pajić, Vukašin; Andrejić, Milan; Sternad, Marjan

doi:10.56578/jimd020201

Cited by 16 publications

(12 citation statements)

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“…It also works in settings with operators that may go in both directions, such as the Bonferroni Mean, Heronian Mean, Interactive, and Einstein operators. In addition, group decision-making using TOPSIS is useful for ATM site selection [49] , developing the Weighted Spearman's correlation coefficient [50] or WS rank similarity coefficient [51] , Enhancing Industry 4.0 Adoption [52] , Energy-Product Systems Modelling [53] , distributive risk assessment [54] , sustainable strategies [55] , and city supply chain management [56] . Economic models, intelligent diagnostics, business and management, and three-way decision-making all feature potentially unpredictable contexts.…”

Section: Discussionmentioning

confidence: 99%

Multi-attribute group decision making method for sponge iron factory location selection problem using multi-polar fuzzy EDAS approach

Jana,

Hezam

2024

Heliyon

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Section: Discussionmentioning

confidence: 99%

Multi-attribute group decision making method for sponge iron factory location selection problem using multi-polar fuzzy EDAS approach

Jana,

Hezam

2024

Heliyon

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“…Pajic et al 25 carried out a study to identify and prioritize risks associated with transport and warehousing processes in logistics systems. In the study, the Quality Function Deployment (QFD) method was used to consider customer satisfaction, and the FMEA method was used to identify and take precautions against risks in the distribution sector.…”

Section: Studies Related To Fmeamentioning

confidence: 99%

A novel method for weighting decision makers for failure mode and effect analysis under intuitionistic fuzzy environment

Akkus,

Testik

2024

Quality & Reliability Eng

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This study introduces an innovative method to implement Failure Mode and Effect Analysis (FMEA) in an Intuitionistic Fuzzy (IF) environment and targets inherent limitations of traditional FMEA, particularly its reliance on precise numerical values that can lead to human subjectivity and compromise accuracy of analysis. The primary aim is to increase the objectivity in evaluating Failure Modes (FMs) in industrial settings, thus enhancing safety and quality assessments. The novel approach integrates the Measurement Alternatives and Ranking according to the Compromise Solution (MARCOS) method within an IF framework. An implementation at a defense industry company is performed for evaluation of the FMs by four Decision Makers (DMs), each possessing different levels of experience and system knowledge. A key innovation of this study is the unique weighting methodology applied to DMs, based on predefined rules, which acknowledges and quantifies their varied expertise and insights. Our methodology significantly contributes to the study's practicality and significance in ranking FMs, emphasizing its effectiveness, robustness, and accuracy. The findings reveal that this method greatly reduces the subjectivity found in traditional FMEA, also providing a more detailed and reliable assessment. This is achieved by adapting the analysis to the specific knowledge levels of the DMs, leading to more dependable and objective quality evaluations in industrial processes. The application of this method in the real‐world setting demonstrates its practical relevance and potential for wider adoption.

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“…Mikušova et al [8] proposed an ANP-based (Analytic Network Process) model for selecting an appropriate distribution channel for high-value stones. A combination of FMEA (Failure Mode and Effects Analysis) and QFD (Quality Function Deployment) methods was applied by Pajić et al [19] for risk assessment in distribution processes. Risk analysis was performed for warehousing and transportation processes, and based on the obtained results, corrective-preventive actions were defined.…”

Section: Problem Description and Literature Reviewmentioning

confidence: 99%

Distribution Channel Selection Using FUCOM-ADAM: A Novel Approach

Andrejić,

Pajić,

Kilibarda

2023

Sustainability

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The selection of the appropriate distribution channel is crucial for the success of any business dealing with physical goods. When dealing with this selection, it is crucial to have an effective decision support system (DSS) that can assist with such decisions. While various DSS approaches exist in the literature, not all are suitable for real-world applications. This research aims to address this gap by developing practical DSS tools that can aid decision-makers in making optimal decisions even in situations of uncertainty. The paper explores six different distribution channels (retailer’s warehouse, wholesaler’s warehouse, manufacturer’s warehouse, cross-dock, 3PL services, and direct delivery) in order to select the optimal one based on nine established criteria (inventory costs, distribution costs, delivery speed, service level, market coverage, product availability, order consolidation capability, reverse logistics, and order tracking) by using the FUCOM (Full Consistency Method) and ADAM (Axial-Distance-Based Aggregated Measurement) methods. After applying the FUCOM method, C1 (inventory costs) had the highest value when observing criteria weights, whereas C9 (order tracking) had the lowest. The results of the ADAM method showed that A5 (3PL services) was the best-ranked alternative, whereas A4 (cross-dock) was ranked as the worst. Based on the results, a model validation, and sensitivity analysis was conducted to determine whether the final ranking of the alternatives will change. This research provides decision makers with the necessary tools for better decision making, leading to improved distribution operations and increased profitability for the business.

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FMEA-QFD Approach for Effective Risk Assessment in Distribution Processes

Cited by 16 publications

References 0 publications

Multi-attribute group decision making method for sponge iron factory location selection problem using multi-polar fuzzy EDAS approach

Multi-attribute group decision making method for sponge iron factory location selection problem using multi-polar fuzzy EDAS approach

A novel method for weighting decision makers for failure mode and effect analysis under intuitionistic fuzzy environment

Distribution Channel Selection Using FUCOM-ADAM: A Novel Approach

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