Today, companies that want to keep up with technological development and globalization
must be able to effectively manage their supply chains to achieve high quality, increased …

This paper presents a comprehensive bibliometric literature review that aims to analyze and
synthesize the existing research on the digital supply chain. By employing a bibliometric …

Odimarha, Ayodeji, & Abaku, P. 725-740 Page 726 carbon emissions. By analyzing factors
such as traffic patterns, weather conditions, and road conditions, ML algorithms can …

In the context of a challenging retail business, optimizing inventory ordering decisions is
crucial to maintain product availability and avoid excessive storage costs. Decision Support …

Purpose In today's fast develo** era, the volume of data is increasing day by day. The
traditional methods are lagging for efficiently managing the huge amount of data. The …

Purpose Demand planning (DP) is a key element of supply chain management (SCM) and is
widely regarded as an important catalyst for improving supply chain performance …

This article presents a comprehensive review of the literature on the benefits, challenges,
and limitations of using machine learning (ML) algorithms in inventory control, focusing on …

This article aims to address the impacts that companies can have with the application of
machine learning to carry out their demand forecasts, knowing that a more accurate demand …

Predicting electrical loads is critical since it requires the preparation of work schedules for
main and minor transformer maintenance operations. This study aims to estimate the …

Objetivo: Clasificar el tipo de demanda de los productos colocados en el mercado por
empresas de autopartes en México, enfocadas al ensamble y venta de autopartes a nivel …