Essays about: "IMPORTANCE of demand forecasting"

Showing result 1 - 5 of 20 essays containing the words IMPORTANCE of demand forecasting.

  1. 1. Balancing Demand and Supply Planning in the Food Supply Chain : Insights from a Dairy Industry Case Study

    University essay from KTH/Skolan för industriell teknik och management (ITM)

    Author : Jennifer Laktena; [2023]
    Keywords : Food Supply Chain; Demand Management Demand Planning; Supply Planning; Forecast; Promotion activities; Livsmedelsförsörjningskedjan; Efterfrågehantering; Efterfrågeplanering; Försörjningsplanering; Prognos; Kampanj;

    Abstract : Globalization and increasing demand for a variety of food products have contributed to challenges within the food industry (Zhu et al, 2018). The Food Supply Chain, FSC, involves several processes from production to distribution, involving actors from all the different steps in the network (Rohmer et al., 2018). READ MORE

  3. 2. Charging Towards Savings : How Utility Tariffs and Consumtion Profiles Impact the Profitability of BTM Battery Storage Systems

    University essay from KTH/Skolan för industriell teknik och management (ITM)

    Author : Daniel Aston; Gustav Lindström; [2023]
    Keywords : Battery Energy Storage System BESS ; Behind The Meter BTM ; Demand Side Management; Energy Arbitrage; Peak Shaving; Load Profile; Utility Tariff; Batterilagring; Bakom Mätaren; Efterfrågestyrning; Energiarbitrage; Peak Shaving; Konsumtionsprofil; Tariff;

    Abstract : Battery Storage Systems (BESS) installed Behind the Meter (BTM) can provide demand management services, reducing electricity costs and enhancing overall electricity system stability. BTM BESS can also imporve self-consumption obtained with distributed generation assets like solar photovoltaics. READ MORE

  4. 3. Machine Learning Based Stock Price Prediction by Integrating ARIMA model and Sentiment Analysis with Insights from News and Information

    University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Author : Teja Sai Vaibhav Boppana; Joseph Sudheer Vinakonda; [2023]
    Keywords : Machine Learning; Market Trends; News; Headlines Stock Price Prediction; VADER.;

    Abstract : Background: Predicting stock prices in today’s complex financial landscape is asignificant challenge. An innovative approach to address this challenge is integrating sentiment analysis techniques with the well-established Autoregressive IntegratedMoving Average (ARIMA) model. READ MORE

  5. 4. Development of a Forecasting Model for Original Equipment Manufacturer (OEM) Components - A Design Science Study at Tetra Pak

    University essay from Lunds universitet/Teknisk logistik

    Author : Faruk Kodzaga; Giacomo Daniele; [2022]
    Keywords : Forecasting Model; OEM; Opportunity Pipeline; Forecasting Accuracy; Technology and Engineering;

    Abstract : Title: Development of a Forecasting Model for Original Equipment Manufacturer (OEM) Components. A Design Science Study at Tetra Pak. READ MORE

  6. 5. Managing Demand Variability by Distinguishing between Internal and External Variability : Investigating the Requirements for Managing Demand through Demand Shaping in B2B Companies

    University essay from KTH/Industriell ekonomi och organisation (Inst.)

    Author : Ewelyn Strandberg; Ingrid Åsenius; [2022]
    Keywords : Demand shaping; Demand management; Demand variability; Internal demand variability; Forecasting; External demand variability; Integrating demand and supply; Styra efterfrågan; Variationshantering; Efterfrågevariation; Intern efterfrågevariation; Prognostisering; Extern efterfrågevariation; Integering av försäljnings- och leveransfunktioner;

    Abstract : Due to the increasingly uncertain environments that global supply chains operate within, both due to component shortages and other types of challenges, the possibility of managing demand variability and balancing it with supply capabilities is getting more challenging. The primary way to deal with these fluctuations in demand is by building flexibility in the supply chain to meet the variations that occur and keep the customers satisfied. READ MORE