Optimization-based model of a circular supply chain for coffee waste

Keyphrases

• Actionable Strategies 25%
• Allocation Decisions 25%
• Circular Economy Principles 50%
• Circular Supply Chain 100%
• Coffee Shop 50%
• Coffee Waste 100%
• Contamination Risk 25%
• Cost Reduction 25%
• Data-driven Approach 25%
• Drying Technology 50%
• Economically Viable 25%
• Environmental Challenges 25%
• Environmental Impact 25%
• Environmental Performance 25%
• Food Service 25%
• Gas Contamination 25%
• Greenhouse Gas Emissions 25%
• Greenhouse Gasses Emission 25%
• Ground Operations 25%
• Industry 4.0 (I4.0) 25%
• Location Decision 25%
• Location-allocation 25%
• Location-routing 25%
• Logistic Model 25%
• Logistics Strategy 25%
• Mixed Integer Linear Programming Model 25%
• Montreal 25%
• Municipal Services 25%
• Network Efficiency 25%
• Network Sustainability 25%
• Optimized Model 100%
• Organic Waste Management 25%
• Pre-drying 50%
• Processing Cost 25%
• Real-time Analytics 25%
• Reduction Performance 25%
• Reverse Logistics 50%
• Routing Decision 25%
• Scalable Data 25%
• Smart Bin 25%
• Smart Logistics 25%
• Spent Coffee Grounds 100%
• Strategic Placement 25%
• Sustainable Business Model 25%
• Transportation Cost 25%
• Urban Organic Waste 25%
• Waste Management 25%

Engineering

• Case Scenario 50%
• Cost Reduction 50%
• Drying Technology 100%
• Environmental Performance 50%
• Greenhouse Gas 50%
• Ground Operations 50%
• Industry 4.0 50%
• Logistics Strategy 50%
• Logistics System 50%
• Mixed-Integer Linear Programming Model 50%
• Nodes 50%
• Organic Waste 50%
• Processing Cost 50%
• Real Data 50%
• Reverse Logistics 100%
• Sustainable Business Model 50%

Earth and Planetary Sciences

• Circular Economy 100%
• Cost Reduction 50%
• Environmental Challenge 50%
• Environmental Performance 50%
• Greenhouse Gas Emission 50%
• Industry 4.0 50%
• Organic Waste 50%
• Real Time 50%
• Reverse Logistics 100%
• Waste Management 100%