Essays about: "Food waste prediction"

Showing result 1 - 5 of 7 essays containing the words Food waste prediction.

  1. 1. Predictive Regression Model Evaluation : Evaluating Predictive Machine Learning Models to Reduce Food Waste in the Dairy Industry

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Alexander Carlsson; [2023]
    Keywords : Machine learning; Food loss; Food overproduction; Food waste forecast; Food waste prediction; Maskininlärning; Matsvinn; Svinn; Matsvinnsprognos;

    Abstract : Food waste in the food industry is often a result from the complex nature of food production. Uncertainty is always present as yields vary and as there is a chain of consumer demand from stores to producers. Food waste is a waste of both natural and economic resources affecting both the planet and the producer. READ MORE

  3. 2. An Investigation of How Well Random Forest Regression Can Predict Demand : Is Random Forest Regression better at predicting the sell-through of close to date products at different discount levels than a basic linear model?

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Estrid Jonsson; Sara Fredrikson; [2021]
    Keywords : Random Forest Regression; Linear Regression; Food Waste; Demand Prediction;

    Abstract : Allt eftersom klimatkrisen fortskrider ökar engagemanget kring hållbarhet inom företag. Växthusgaser är ett av de största problemen och matsvinn har därför fått mycket uppmärksamhet sedan det utnämndes till den tredje största bidragaren till de globala utsläppen. READ MORE

  4. 3. Food Industry Sales Prediction : A Big Data Analysis & Sales Forecast of Bake-off Products

    University essay from Umeå universitet/Institutionen för fysik

    Author : Maja Lindström; [2021]
    Keywords : Machine Learning; Big Data Analysis; Data Exploration; Prediction; Statistics;

    Abstract : In this thesis, the sales of bread and coffee bread at Coop Värmland AB have been studied. The aim was to find what factors that are important for the sales and then make predictions of how the sales will look like in the future to reduce waste and increase profits. READ MORE

  5. 4. A comparative study between LSTM and ARIMA for sales forecasting in retail

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Ajla Elmasdotter; Carl Nyströmer; [2018]
    Keywords : ;

    Abstract : Food waste is a major environmental issue. Expired products are thrown away, implying that too much food is ordered compared to what is sold and that a more accurate prediction model is required within grocery stores. READ MORE

  6. 5. Opportunities and Challenges in the Implementation of Dynamic Shelf Life in a Food Supply Chain

    University essay from Lunds universitet/Förpackningslogistik

    Author : Lina Nord; Lina Olofzon; [2014]
    Keywords : DSLP Service; DynahMat; Dynamic Shelf Life; RFID; Biosensors; Supply Chain Management; Business Model; Coordination; Information Sharing; Transparency; 4PL company; Technology and Engineering;

    Abstract : DynahMat is an ongoing project at the Packaging Logistics department at Lund University, which aims to reduce food waste by establishing the true quality and shelf life of chilled goods through a dynamic shelf life prediction (DSLP) service. The idea behind the service is, throughout the entire supply chain, to measure temperature and microbial growth using sensors attached to the package. READ MORE