This paper aims to explore the challenges and opportunities for Small and Medium-sized
Manufacturing Enterprises (SMMEs) in implementing data-driven techniques in their …

Digital transformation and Industry 4.0 pose challenges for all industries. Small and medium-
sized enterprises (SMEs) are particularly affected due to cost pressure and the shortage of …

In the field of logistics many companies strive to optimize their processes with different
automated systems when the importance of measuring operations highlights. However …

In the current competitive environment, Big Data Analytics (BDA) has become a prominent
metric to reach an integrated, efficient, and effective supply chain (SC). In the literature, the …

Business growth is an area that the company is expanding and seeking opportunities to
make more gains. The industry decision-making process is a step-by-step process that …

The potential of data analytics to improve business processes is commonly recognized.
Despite the general enthusiasm, the implementation of data-driven methods in production …

Production companies are facing the major challenge of digitization. New technical
developments enable new optimization potentials in production that can be leveraged in a …

Today's business environment infers organizational competitiveness that encourages
organizations to adopt standardized systems that facilitate effective business management …

Abstract Big Data Analytics (BDA) has attracted significant attention from both academicians
and practitioners alike as it provides several ways to improve strategic, tactical and …

It has become very important for most the large scale manufacturing companies to analyze
each step in the supply chain and predict any failure at the basic level. Cost can be reduced …