Industrial Engineering Department, Faculty of Hijjawi for Engineering Technology, Yarmouk University, Irbid, Jordan.
PLoS One. 2024 Apr 18;19(4):e0301930. doi: 10.1371/journal.pone.0301930. eCollection 2024.
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.
大米是许多国家的主食，因此需要确定可靠的供应商以确保稳定的供应。因此，建立各种类型的可靠大米供应商，使其能够达到严格的产品质量标准，这一点至关重要。本研究旨在识别、分析、排名和选择主要的大米供应商。本研究强调了选择和管理合适供应商以满足客户需求的重要性，提出了大米供应商的排名模型，并介绍了开发的模糊多准则决策技术。它提出了一个选择大米供应商的综合模型，考虑了在规定框架内选择供应商之前、期间和之后与供应商选择过程相关的因素。研究结果表明，大米供应商选择策略可以有效地识别可靠的大米供应商，提高买家的价值，降低采购风险，提高效率，并在复杂的决策过程中建立强大的供应链关系。为了评估供应商，本研究引入了两种先进的综合方法并进行了比较。模糊熵权法（EWM）用于确定标准权重。使用基于模糊多目标优化的比率分析（MOORA）、模糊复合比例评估（COPRAS）以及这两种方法在不同方法中的组合对大米供应商进行排名。该方法通过协助进口商、贸易商、供应商、采购和物流管理，特别是对非稻米种植国家的稻米进口和供应商选择，为决策者在快速发展的全球环境中提供支持。该数值分析基于约旦选择大米供应商的实际案例研究。结果表明，各种策略产生了相似和不同的结果。此外，综合方法被认为是评估大米进口和供应商最准确的方法，与当前情况的现实密切吻合。
