In order to stay competitive, many manufacturing companies, especially small and medium
sized enterprises (SME), face the challenge to transform their production and the …

Data-driven decision making (DDDM) in advanced manufacturing systems (AMS) is the use
of data to make smart decisions that improve manufacturing operations. Companies can …

Purpose–To propose and develop a cost‐effective approach to developing and
implementing customized electronic business solutions in a do‐it‐yourself (DIY) fashion …

In a manufacturing organization, there are several issues that directly or indirectly affect the
performance of the organization. The performance of the organization is measured by both …

The manufacturing sector in South Africa has been dramatically affected by easily
accessible and low-cost goods from China and other manufacturing giants in the East …

Purpose Over the years, technology development has rationalized supply chain processes.
The demand economy is disrupting every sector causing the supply chain to be more …

In the rapidly advancing fields of Artificial Intelligence (AI) and Big Data, creating a robust
and high-quality data foundation is a critical requirement for data-driven projects. However …

Paper aims This study reviews the available literature regarding big data analytics
applications in supply chain management and provides insight on topics that received a …

The increase in the amount of manufacturing information available means that big data can
be collected and, with appropriate deep analysis, could be of great value to manufacturers …

Purpose: Business analytics, a buzzword of the recent decade, has been applied by
thousands of enterprises to help generate more values and enhance their business …