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Improving the performance of the coffee supply chain using integrating fuzzy MCDM and simulation methods
by
Al-Dwairi, Abdullah F.
, Alhamouri, Ahmad
, Magableh, Ghazi M.
in
Analytic hierarchy process
/ Biology and Life Sciences
/ Coffee
/ Coffee - economics
/ Coffee industry
/ Commerce
/ Computer and Information Sciences
/ Computer Simulation
/ Continuous improvement
/ COVID-19
/ COVID-19 - epidemiology
/ Decision making
/ Discrete event systems
/ Distribution
/ Ecology and Environmental Sciences
/ Economic aspects
/ Engineering and Technology
/ Epidemics
/ Farm produce
/ Food
/ Food Supply
/ Forecasts and trends
/ Fuzzy Logic
/ Humans
/ International economic relations
/ Jordan
/ Lead time
/ Long-term effects
/ Medicine and Health Sciences
/ Methods
/ Operating costs
/ Pandemics
/ Physical Sciences
/ Research and Analysis Methods
/ SARS-CoV-2
/ Shipping
/ Simulation
/ Simulation methods
/ Simulation models
/ Social Sciences
/ Suppliers
/ Supply chain management
/ Supply chains
/ Transportation costs
/ Weather
/ Weather conditions
2025
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Improving the performance of the coffee supply chain using integrating fuzzy MCDM and simulation methods
by
Al-Dwairi, Abdullah F.
, Alhamouri, Ahmad
, Magableh, Ghazi M.
in
Analytic hierarchy process
/ Biology and Life Sciences
/ Coffee
/ Coffee - economics
/ Coffee industry
/ Commerce
/ Computer and Information Sciences
/ Computer Simulation
/ Continuous improvement
/ COVID-19
/ COVID-19 - epidemiology
/ Decision making
/ Discrete event systems
/ Distribution
/ Ecology and Environmental Sciences
/ Economic aspects
/ Engineering and Technology
/ Epidemics
/ Farm produce
/ Food
/ Food Supply
/ Forecasts and trends
/ Fuzzy Logic
/ Humans
/ International economic relations
/ Jordan
/ Lead time
/ Long-term effects
/ Medicine and Health Sciences
/ Methods
/ Operating costs
/ Pandemics
/ Physical Sciences
/ Research and Analysis Methods
/ SARS-CoV-2
/ Shipping
/ Simulation
/ Simulation methods
/ Simulation models
/ Social Sciences
/ Suppliers
/ Supply chain management
/ Supply chains
/ Transportation costs
/ Weather
/ Weather conditions
2025
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Do you wish to request the book?
Improving the performance of the coffee supply chain using integrating fuzzy MCDM and simulation methods
by
Al-Dwairi, Abdullah F.
, Alhamouri, Ahmad
, Magableh, Ghazi M.
in
Analytic hierarchy process
/ Biology and Life Sciences
/ Coffee
/ Coffee - economics
/ Coffee industry
/ Commerce
/ Computer and Information Sciences
/ Computer Simulation
/ Continuous improvement
/ COVID-19
/ COVID-19 - epidemiology
/ Decision making
/ Discrete event systems
/ Distribution
/ Ecology and Environmental Sciences
/ Economic aspects
/ Engineering and Technology
/ Epidemics
/ Farm produce
/ Food
/ Food Supply
/ Forecasts and trends
/ Fuzzy Logic
/ Humans
/ International economic relations
/ Jordan
/ Lead time
/ Long-term effects
/ Medicine and Health Sciences
/ Methods
/ Operating costs
/ Pandemics
/ Physical Sciences
/ Research and Analysis Methods
/ SARS-CoV-2
/ Shipping
/ Simulation
/ Simulation methods
/ Simulation models
/ Social Sciences
/ Suppliers
/ Supply chain management
/ Supply chains
/ Transportation costs
/ Weather
/ Weather conditions
2025
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Improving the performance of the coffee supply chain using integrating fuzzy MCDM and simulation methods
Journal Article
Improving the performance of the coffee supply chain using integrating fuzzy MCDM and simulation methods
2025
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Overview
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.
Publisher
Public Library of Science,Public Library of Science (PLoS)
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