Magableh Ghazi M, Al-Dwairi Abdullah F, Alhamouri Ahmad
Industrial Engineering Department, Yarmouk University, Irbid, Jordan.
Industrial Engineering Department, Jordan University of Science and Technology, Irbid, Jordan.
PLoS One. 2025 Jun 18;20(6):e0326581. doi: 10.1371/journal.pone.0326581. eCollection 2025.
Coffee is one of the drinks that are consumed worldwide. The global coffee beans industry is currently facing several challenges, including The COVID19 pandemic's long-term effects on their supply chains (SCs), adverse weather conditions affecting major coffee-producing regions, escalating price dynamics, and the increased in transportation costs. Jordan significantly relies on coffee imports, a critical agricultural product that constitutes an important part of local trade. Due to the lack of previous studies, the research aims to evaluate the current SC and improve Jordan's coffee SC performance by reducing lead time and shipping cost. The research first uses the combined Fuzzy Analytic Hierarchy Process (FAHP) and The Fuzzy Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method to rank the supplier and choose the best suppliers based on established criteria. Then, the research proposes an analysis with the goal of enhancing the efficiency of Jordan's coffee SC by applying Discrete Event Simulation (DES). Real company data is utilized to study, apply and evaluate the methodology used. The decision-making process employ decision makers and expert opinion input, providing a comprehensive and balanced evaluation of suppliers. Different scenarios are evaluated and compared based on the integrations of the FMCDM results in the simulation model. The findings identify the best and least favorable suppliers, highlighting Ethiopia's leadership in several indicators. The outcomes suggest reducing lead time and shipping costs, investing in technology, and establishing a culture of continuous improvement to improve efficiency, stability, and adapt to market conditions. The research provides a comprehensive analysis of the current state of the coffee SC and suggests opportunities for development. Finally, recommendations to improve the current coffee SC in Jordan and directions for future research are discussed.
咖啡是全球范围内消费的饮品之一。全球咖啡豆产业目前面临着诸多挑战，包括新冠疫情对其供应链的长期影响、影响主要咖啡产区的恶劣天气状况、价格动态不断上涨以及运输成本增加。约旦严重依赖咖啡进口，咖啡作为一种关键农产品，是当地贸易的重要组成部分。由于此前缺乏相关研究，本研究旨在评估当前的供应链，并通过缩短交货时间和降低运输成本来提升约旦咖啡供应链的绩效。该研究首先运用模糊层次分析法（FAHP）和与理想解相似的优先顺序模糊技术（TOPSIS）相结合的方法，根据既定标准对供应商进行排名并选择最佳供应商。然后，该研究提出通过应用离散事件模拟（DES）来提高约旦咖啡供应链效率的分析。利用真实公司数据来研究、应用和评估所使用的方法。决策过程采用决策者和专家意见输入，对供应商进行全面且平衡的评估。基于模糊多准则决策（FMCDM）结果在模拟模型中的整合，对不同情景进行评估和比较。研究结果确定了最佳和最不理想的供应商，突出了埃塞俄比亚在若干指标方面的领先地位。研究结果表明，应缩短交货时间和降低运输成本，投资技术，并建立持续改进的文化，以提高效率、稳定性并适应市场状况。该研究对咖啡供应链的当前状态进行了全面分析，并提出了发展机遇。最后，讨论了改善约旦当前咖啡供应链的建议以及未来研究的方向。
