Order Fulfillment Performance Evaluation in Supply Chain Management Under Intuitionistic Fuzzy Environment

Aydın, Sevcan; Kahraman, Cengiz

doi:10.2991/eusflat-19.2019.9

Cited by 3 publications

(2 citation statements)

References 19 publications

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“…Researchers [20][21][22][23] have also explored the application of IFS in uncertain dynamic intuitionistic fuzzy MCDM for assessing order fulfilment performance in firms. Aydin and Kahraman [24] endorsed this method as a valuable tool for solving MCDM problems in an intuitionistic fuzzy (IF) environment.…”

Section: Applying Topsis To Intuitionistic Fuzzy Setsmentioning

confidence: 99%

Evaluating and Selecting a Supplier in a Healthcare Supply Chain Using the Technique for Order Performance by Similarity to Ideal Solution Under Intuitionistic Fuzzy Environment

Trupti,

Umap

2024

IJFIS

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Supplier selection is an important aspect of effective supply chain management (SCM) and has implications in risk mitigation, profitability, and cultivating robust supplier-buyer relationships. In this dynamic and competitive landscape, it is essential to implement multi-criteria decisionmaking (MCDM) methods. Therefore, we employ the technique for order performance by similarity to ideal solution (TOPSIS), an MCDM technique, to evaluate the best supplier. Our approach incorporates fuzzy intuitionistic data and leverages the insights of decision-makers. Seven essential criteria, namely, supplier relationships, patient demand, quality, profitability, delivery time, post-delivery service, and patient cost, are integral to this assessment. This methodology is particularly valuable in situations that require swift supplier selection and those that cater to the urgent supplier needs of pharmacists. While our focus was on a specific context, the adaptability of this approach enables researchers to customize it for their respective fields by incorporating pertinent criteria based on expert inputs. Supplier evaluation within the healthcare sector, focusing on sector-specific metrics such as antibiotic drug selection, remains a relatively unexplored area. To address this issue, we present a comprehensive framework to select antibiotic drug suppliers.

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Section: Applying Topsis To Intuitionistic Fuzzy Setsmentioning

confidence: 99%

Evaluating and Selecting a Supplier in a Healthcare Supply Chain Using the Technique for Order Performance by Similarity to Ideal Solution Under Intuitionistic Fuzzy Environment

Trupti,

Umap

2024

IJFIS

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show abstract

“…A performance assessment problem needs expert judgments, and thus, the complexity of this decision-making problem increases in the form of subjectivity and vagueness. Due to the shortcomings created by the subjectivity of human judgments and the vagueness of data, fuzzy set theory can be used in performance-assessment-related decision-making processes [9]. The use of a fuzzy approach provides approximate reasoning methods that can handle the inherent subjectivity.…”

Section: Introductionmentioning

confidence: 99%

A Fuzzy Framework to Evaluate Players' Performance in Handball

Romero¹,

Angulo²,

Serrano-Guerrero³

et al. 2020

IJCIS

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The evaluation of the players' performance in sports teams is commonly based on the opinion of experts who do not always agree on the importance of the chosen indicators. This paper presents a novel approach based on fuzzy multi-criteria group decision-making tools for selecting those criteria that best represent the handball player's performance in a match and for setting their relevance weights. Our approach consists of a fuzzy model to aggregate expert judgments. This methodology overcomes some drawbacks of classical systems, including the definition of the relevance of each criteria using linguistic labels. A preliminary evaluation analyzes handball players' performance indicators and their application to a short tournament. Considering the obtained results, we can conclude that the proposal is relevant and provides useful insights regarding player performance in different matches. The proposed methodology has also been compared with a basic plus-minus rating methodology. This comparison illustrates the feasibility of our approach. Results suggest that plus-minus rating is not the best solution to represent the performance of specialized players who only play when their team attack or defense. Our approach demonstrates being more appropriate for sports such as handball because it includes the valuation of a full set of positive actions in defense and attack.

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Review on mathematical model, artificial intelligence and challenges to logistics and supply chain management

Isnin,

Almadani,

Hamdika

et al. 2024

The 7TH BIOMEDICAL ENGINEERING’S RECENT PROGRESS IN BIOMATERIALS, DRUGS DEVELOPMENT, AND MEDICAL DEVICES: The 15th Asian Congre

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Order Fulfillment Performance Evaluation in Supply Chain Management Under Intuitionistic Fuzzy Environment

Cited by 3 publications

References 19 publications

Evaluating and Selecting a Supplier in a Healthcare Supply Chain Using the Technique for Order Performance by Similarity to Ideal Solution Under Intuitionistic Fuzzy Environment

Evaluating and Selecting a Supplier in a Healthcare Supply Chain Using the Technique for Order Performance by Similarity to Ideal Solution Under Intuitionistic Fuzzy Environment

A Fuzzy Framework to Evaluate Players' Performance in Handball

Review on mathematical model, artificial intelligence and challenges to logistics and supply chain management

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