Essays about: "IMPORTANCE of demand forecasting"

Showing result 6 - 10 of 20 essays containing the words IMPORTANCE of demand forecasting.

  1. 6. After-Market Spare Parts Forecasting at Sandvik Stationary Crushing & Screening

    University essay from Lunds universitet/Produktionsekonomi

    Author : Artur Jusopov; Arian Marofkhani; [2022]
    Keywords : Forecasting; Intermittent Demand; Spare Parts; After-Market; Crostons; Exponential Smoothing; Hierarchical Forecasting; Technology and Engineering;

    Abstract : Title: After-Market Spare Parts Forecasting at Sandvik Stationary Crushing & Screening. Authors: Arian Marofkhani and Artur Jusopov Supervisors: Professor Gudrun Kiesmüller, Lund University, Faculty of Engineering, Division of Production Management. Macarena Ribalta, Planning & Logistics Manager, Sandvik Stationary Crushing & Screening. READ MORE

  3. 7. Explainability of Machine Learning in Forecasts for Retail Sales Campaigns

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

    Author : Alexander Olsson; Robin Zamojsky; [2022]
    Keywords : ;

    Abstract : Explainable artificial intelligence is a growing field which is becoming increasingly important as machine learning is more integrated in businesses and various functions in society. A rising concern is the lack of transparency in decision-making processes for a substantial number of machine learning models. READ MORE

  4. 8. Forecasting Electricity Prices for Intraday Markets with Machine Learning : An exploratory comparison of the state of the art

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

    Author : Panagiotis-Christos Kotsias; [2022]
    Keywords : Electricity Trading; Intraday Market; Price Forecasting; Machine Learning; Elhandel; Intradagsmarknad; Prisprognoser; Maskininlärning;

    Abstract : Electricity needs to be consumed when it is produced, making sure that supply closely meets demand at all times. To account for the rapidly changing operational status and the need for increasing the flexibility of power systems, financial instruments have been put in place creating markets where electricity is traded as a commodity across different time frames; from months or days to minutes before, or even after, planned delivery. READ MORE

  5. 9. Multivariate Short-term Electricity Load Forecasting with Deep Learning and exogenous covariates

    University essay from Umeå universitet/Institutionen för tillämpad fysik och elektronik

    Author : Nordström Oscar; [2021]
    Keywords : Machine learning; Time series; Deep learning; Forecasting; Short-term electricity load forecasting; Artificial Neural Network;

    Abstract : Maintaining the electricity balance between supply and demand is a challenge for electricity suppliers. If there is an under or overproduction, it entails financial costs and affects consumers and the climate. To better understand how to maintain the balance, can the suppliers use short-term forecasts of electricity load. READ MORE

  6. 10. Investigating Demand Forecasting Strategy and Information Exchange : A case study at a Swedish wholesaler

    University essay from Jönköping University/JTH, Logistik och verksamhetsledning

    Author : Christian Karlsson; Imadeddin Abdul aziz; [2021]
    Keywords : Forecast model; forecast process; seasonality; information sharing; partnership; Holt-Winters model;

    Abstract : Purpose – Forecasting is a firm's ability to anticipate or predict the future demand givenon a set of assumptions. For a company to implement an appropriate forecast model whichcan make accurate assumptions, the model needs to be aligned with the company's businesssituation and enhanced through supply chain relationships. READ MORE