Fuzzy-AHP MOORA approach for vendor selection applications

Khoiry, I’tishom Al; Gernowo, Rahmat; Surarso, Bayu

doi:10.26594/register.v8i1.2356

Cited by 11 publications

(8 citation statements)

References 33 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Various methods have been proposed for this purpose. For instance, the fuzzy analytic hierarchy process (AHP) and MOORA techniques have been used to evaluate and select vendors [ 24 ]. The fuzzy MOORA (FMOORA) approach has been employed to assess the potential for mushroom farming [ 25 ], and MOORA has been used to select the best teachers and staff [ 26 ].…”

Section: Literature Reviewmentioning

confidence: 99%

An integrated model for rice supplier selection strategies and a comparative analysis of fuzzy multicriteria decision-making approaches based on the fuzzy entropy weight method for evaluating rice suppliers

Magableh

2024

PLoS ONE

View full text Add to dashboard Cite

Rice, being a staple food in many countries, necessitates the identification of reliable suppliers to ensure a steady supply. Consequently, it is vital to establish trustworthy vendors for various types of this essential grain who can meet stringent product quality standards. This study aims to identify, analyze, rank, and select primary rice suppliers. The study emphasizes the importance of selecting and managing suitable providers to meet customer demands, proposes a ranking model for rice suppliers, and introduces developed fuzzy MCDM techniques. It proposes an integrated model for selecting rice suppliers, considering factors related to the processes before, during, and after selecting providers within a defined framework. The outcomes shows that rice supplier selection strategy can efficiently identify reliable rice suppliers, improve buyer value, reduce procurement risk, enhance efficiency, and establish strong supply chain relationships in complex decision-making processes. To assess suppliers, the study introduces two advanced integrated approaches and compares them. The fuzzy entropy weight method (EWM) was used to determine the criteria weights. The ranking of rice suppliers was achieved using a fuzzy multi-objective optimization based on ratio analysis (MOORA), fuzzy complex proportional assessment (COPRAS), and combinations of these two methods in different approaches. The methodology supports decision-makers in a rapidly evolving global environment by assisting importers, traders, suppliers, procurement, and logistics management, particularly for non-rice-cultivating countries in rice importation and supplier selection. The numerical analysis is grounded in a real-world case study of selecting rice suppliers in Jordan. The findings reveal that the various strategies yield both similar and different results. Furthermore, the integrated method is considered the most accurate for evaluating rice imports and suppliers, aligning closely with the reality of the current situation.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

An integrated model for rice supplier selection strategies and a comparative analysis of fuzzy multicriteria decision-making approaches based on the fuzzy entropy weight method for evaluating rice suppliers

Magableh

2024

PLoS ONE

View full text Add to dashboard Cite

show abstract

“…Finally, a comparative study of Pythagorean fuzzy MOORA and TOPSIS methods was performed to rank the suppliers’ options. Khoiry et al [ 135 ] proposed a decision-making framework integrating fuzzy-AHP and MOORA methods for good vendor selection. The results were validated by sensitivity analysis and confirmed the robustness of the hybrid approach.…”

Section: Application Areasmentioning

confidence: 99%

A historical review and analysis on MOORA and its fuzzy extensions for different applications

Singh,

Pathak,

Kumar

et al. 2024

Heliyon

View full text Add to dashboard Cite

“…The literature review shows that several researchers [20][21][22][23][24][25][26][27][28][29][30] have proposed different tools as well as models that are used in the GSD context. Rahman et al [15] suggested a model based on the factors that are used to help IT experts in taking decisions in the global delivery context.…”

Section: Study Backgroundmentioning

confidence: 99%

OffshoringDSS: An Automated Tool of Application Maintenance Offshoring

et al. 2022

View full text Add to dashboard Cite

The rapid spread of the internet over the last two decades has prompted more and more companies to deploy their work internationally. The offshoring strategy enables organizations to cut down costs, boost shareholder value, acquire a competitive advantage, reduce cycle time, increase workforce flexibility, generate revenue and focus on their core business. The number of worldwide software development projects has increased due to globalization. Global Software Development (GSD) projects are forecast to grow by 20% to 30% in countries like India and China. The outsourcing experts choose one of the suitable models from the available global delivery options to deliver services in the global software paradigm. However, adopting the appropriate model for application maintenance is a complicated process. In addition, the right model is selected based on various influencing factors, type of the project and client requirements. Additionally, sufficient domain expertise is necessary for the decision making of offshore outsourcing. Currently, there is no dynamic and automated tool for the decision making of application maintenance offshoring. Therefore, this study presents an Offshoring Decision Support System (OffshoringDSS), an automated and novel tool to make the offshoring decisions of application maintenance. The suggested tool is based on the Analytic Hierarchy Process (AHP) technique. The tool automatically performs all the calculations involved in the decision making and ranks the sourcing models.

show abstract

Fuzzy-AHP MOORA approach for vendor selection applications

Cited by 11 publications

References 33 publications

An integrated model for rice supplier selection strategies and a comparative analysis of fuzzy multicriteria decision-making approaches based on the fuzzy entropy weight method for evaluating rice suppliers

An integrated model for rice supplier selection strategies and a comparative analysis of fuzzy multicriteria decision-making approaches based on the fuzzy entropy weight method for evaluating rice suppliers

A historical review and analysis on MOORA and its fuzzy extensions for different applications

OffshoringDSS: An Automated Tool of Application Maintenance Offshoring

Contact Info

Product

Resources

About