Demand side climate change mitigation actions and SDGs: literature review with systematic evidence search
To strengthen current discourse on acceleration and scale up of the emissions mitigation
actions by sector-specific demand side actions, information on the intersection of three …
actions by sector-specific demand side actions, information on the intersection of three …
Forecasting offline retail sales in the COVID-19 pandemic period: A case study of a complex shopping mall in South Korea
This study examines the case of a shopping mall in Seoul, South Korea, based on its offline
retail sales data during the period of the enforcement of the COVID-19 pandemic social …
retail sales data during the period of the enforcement of the COVID-19 pandemic social …
Time series analysis for vegetable price forecasting in E-commerce platform: a review
Vegetables industry plays an important role especially in providing the abundant fresh
agricultural products. Forecasting the vegetable price is vital in agriculture sector for effective …
agricultural products. Forecasting the vegetable price is vital in agriculture sector for effective …
Forecasting and analysis of solar power output from integrated solar energy and IoT system
Solar-powered irrigation systems has attracted enormous attention considering because it is
a green energy source and cost-effective green energy and power supply source for …
a green energy source and cost-effective green energy and power supply source for …
Sales prediction using arima, facebook's prophet and xgboost model of machine learning
S Ratre, J Jayaraj - … Learning, Image Processing, Network Security and …, 2023 - Springer
In this paper, a comparative study is conducted on machine learning models used for
predictive analytics of sales. Sales prediction is an important part of modern business …
predictive analytics of sales. Sales prediction is an important part of modern business …
Discrete-event simulation of a production process for increasing the efficiency of a newspaper production
O Riskadayanti, M Hisjam - IOP Conference Series: Materials …, 2019 - iopscience.iop.org
One of the characteristics of the newspaper industry is the cycle time of production is limited.
The production time cycle is depending on several aspects, namely the quantity of paper …
The production time cycle is depending on several aspects, namely the quantity of paper …
[PDF][PDF] Learning a supply chain management course by problem based learning: Case studies in the newspaper industry
W Sutopo, EF Aqidawati - Proceedings of the International …, 2019 - ieomsociety.org
The paper illustrates the applications of problem-based learning in a Supply Chain
Management (SCM) course for Industrial Engineering Students. As engineers' candidate …
Management (SCM) course for Industrial Engineering Students. As engineers' candidate …
Demand forecasting of individual probability density functions with machine learning
Introduction Demand forecasting is a central component of the replenishment process for
retailers, as it provides crucial input for subsequent decision making like ordering processes …
retailers, as it provides crucial input for subsequent decision making like ordering processes …
[PDF][PDF] Sales Prediction Based on ARIMA Time Series and Multifactorial Linear Model
Z Zhang - Highlights in Science, Engineering and Technology, 2023 - scholar.archive.org
Contemporarily, sales forecasting based on historical data is one of the key topics of
research. Researchers have found that different analytical forecasting models can predict …
research. Researchers have found that different analytical forecasting models can predict …
Demand models for supermarket demand forecasting
U Kerzel - International Journal of Supply and Operations …, 2023 - ijsom.com
Model-based approaches remain an important option for modelling customer demand.
While this approach allows to analyse demand using a model based on theoretical …
While this approach allows to analyse demand using a model based on theoretical …