Application of Machine Learning to support production planning of a food industry in the context of waste generation under uncertainty

Business & Economics

• Waste Generation 100%
• Machine Learning 92%
• Production Planning 74%
• Food Industry 68%
• Food 53%
• Learning Model 52%
• Environmental Impact 48%
• Profitability 44%
• Uncertainty 41%
• Discrepancy 33%
• Operations Research 24%
• Waste Disposal 22%
• Data Analytics 22%
• Carbon Footprint 22%
• Food Production 21%
• Fruits and Vegetables 21%
• Learning Algorithm 21%
• Waste Management 20%
• Economic Cost 19%
• Normal Distribution 19%
• Batch 17%
• Anomaly 17%
• Managers 16%
• Economic Benefits 16%
• Machinery 15%
• Raw Materials 15%
• Deviation 14%
• Prediction 14%

Mathematics

• Production Planning 99%
• Machine Learning 77%
• Industry 71%
• Uncertainty 59%
• Profitability 44%
• Context 43%
• Discrepancy 28%
• Predict 26%
• Economics 24%
• Fruit 21%
• Output 20%
• Predictive Model 19%
• Parameter Selection 18%
• Carbon 17%
• Learning Algorithm 16%
• Process Control 16%
• Anomaly 16%
• Operations Research 16%
• Batch 15%
• Demand 14%
• Model 13%
• Liquid 13%
• Deviation 12%
• Linear Model 12%
• Gaussian distribution 11%
• Prediction 11%
• Costs 10%
• Demonstrate 8%