Supplier selection in a Turkish textile company by using intuitionistic fuzzy decision-making

Nakiboğlu, Gülsün; Bulğurcu, Berna

doi:10.1080/00405000.2020.1747675

Cited by 22 publications

(4 citation statements)

References 55 publications

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“…The utilisation of a PROMETHEE II technique that has been underexplored was investigated by Agarwal (2021) in the context of vendor selection. The study conducted by Nakiboglu and Bulgurcu (2021) aimed to enhance the TOPSIS technique's applicability in uncertain environments by incorporating the intuitionistic fuzzy set. The research focused on utilising this approach to select the most suitable vendor of raw materials for a textile company based in Turkey.…”

Section: Literature Reviewmentioning

confidence: 99%

Application of Time Series Analysis to Vendor Selection Problem: A Problem of Multi-Objective Decision Making

Gupta

Gupta²,

Kamal

2023

Preprint

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The attainment of a competitive advantage can be facilitated by the presence of a vendor who is both effective and efficient. The process of selecting a vendor is a complex decision-making task that entails consideration of multiple quantitative and qualitative factors. The objective of this study is to minimise the net ordering cost, transportation cost, and late deliveries. When examining the various circumstances of existence, it is impossible to make anticipatory prognostications. The utilisation of Interval type-2 trapezoidal fuzzy numbers has been employed to effectively demonstrate the presence of uncertainty in the input parameters. A precise equivalent form has been derived through the calculation of the expected value. Exponential smoothing forecasting analysis has been utilised to ascertain the precise demand for the product in order to mitigate the risk of shortages and consequent financial losses. Ultimately, an effective methodology utilising fuzzy goal programming has been employed to attain a mutually satisfactory solution. The proposed methodology has been elucidated through the addition of a numerical illustration of its underlying concepts.

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Section: Literature Reviewmentioning

confidence: 99%

Application of Time Series Analysis to Vendor Selection Problem: A Problem of Multi-Objective Decision Making

Gupta

Gupta²,

Kamal

2023

Preprint

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“…Agarwal (2021) explored an underutilized PROMETHEE II technique in the supplier selection problem. Nakiboglu and Bulgurcu (2021) extended the TOPSIS technique in an uncertain environment using the intuitionistic fuzzy set for the selection of the best raw material supplier for a Turkish textile company. Kamal et al (2020) explore a sustainable supplier selection problem with ambiguity and eliminate it using intuitionistic fuzzy numbers.…”

Section: Literature Reviewmentioning

confidence: 99%

Application of Time Series Analysis to Supplier Selection Problem: A Problem of Multi-Objective Decision Making

Gupta

Gupta²,

Kamal

2022

Preprint

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In today’s competitive environment, markets have made the purchasing function an ever more necessary action in supply chain management while in the same manner the survival of a business, for the most part, depends largely on its supplier’s. An effective and efficient supplier can give a competitive edge to a business. In general, the supplier selection is a multi-objective decision-making problem that involves several quantitative and qualitative factors that helps in minimizing the net ordering cost, minimizing the transportation cost, and minimizing the late deliveries. If we look at the different circumstances of life, we cannot predict anything in advanced. Therefore, we have taken the case of ambiguity in input parameters. Interval type-2 trapezoidal fuzzy numbers have been used to present the ambiguity in the input parameters, and crisp equivalent form has been obtained by taking the expected value. We also have used exponential smoothing forecasting analysis for getting the specific demand for the product to avoid the losses of shortages. Finally, we have used an efficient fuzzy goal programming approach for obtaining the compromise solution. A numerical example has been given to illustrate the concepts of the proposed methodology.

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“…Selecting and managing suppliers and partners have been found to be proactive practices that will deliver quality development in the supply chain, as businesses depend on their core competencies and depend on suppliers and partners to gain a competitive advantage in their operations [24]. Various issues such as flexibility over time and quantity of order, service quality, financial stability, reliability, brand recognition, R&D, trust, economic and political stability of the supplier's country, environmental and social responsiveness, working conditions, reputation, responsiveness, and others are discussed in addition to the main criteria explored in papers such as cost, delivery, quality, and service [25,26]. Alignment can be described in the scope of supply chain as incentives for partners to boost overall supply chain efficiency.…”

Section: Relationships Among Supply Chain Practices Competitive Advan...mentioning

confidence: 99%

Performance Implications of Aligning Supply Chain Practices with Competitive Advantage: Empirical Evidence from the Agri-Food Sector

et al. 2021

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During this pandemic crisis, supply chain management (SCM) has emerged as a critical source of competitive advantage driving organizational performance, especially in the agri-food sector, since public health and consumers’ confidence as well as firms’ survival depend on the effectiveness of supply chain networks. This study adopts two central SCM practices, namely strategic suppliers’ partnerships and partners’ information quality & sharing and tests their relationships with competitive advantage (quality, process flexibility, and time to market) and business performance (profitability and market share), based on an empirical study of 300 enterprises in the agri-food sector in Greece. After data collection, we deploy a diagnostic-exploratory model, utilizing fuzzy cognitive mapping, with agent-based modeling following up for development for data prediction and simulation. Consequently, we found that supply chain firms’ compelling and robust relationships with supply chain partners and suppliers can promote their profitability and market share. Relationships of this kind focus on quality information sharing and are strongly connected with businesses’ quality, process flexibility, and time to market competitive capabilities. Hence, our study provides salutary info to supply chain firms regarding potential implementation to existing and new collaborators.

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Supplier selection in a Turkish textile company by using intuitionistic fuzzy decision-making

Cited by 22 publications

References 55 publications

Application of Time Series Analysis to Vendor Selection Problem: A Problem of Multi-Objective Decision Making

Application of Time Series Analysis to Vendor Selection Problem: A Problem of Multi-Objective Decision Making

Application of Time Series Analysis to Supplier Selection Problem: A Problem of Multi-Objective Decision Making

Performance Implications of Aligning Supply Chain Practices with Competitive Advantage: Empirical Evidence from the Agri-Food Sector

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