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 …

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 …

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 …

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 …

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 …

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 paper illustrates the applications of problem-based learning in a Supply Chain
Management (SCM) course for Industrial Engineering Students. As engineers' candidate …

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 …

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 …

Model-based approaches remain an important option for modelling customer demand.
While this approach allows to analyse demand using a model based on theoretical …