Digital Manufacturing/Industry 4.0

Identifying smart design attributes for Industry 4.0 customization using a clustering Genetic Algorithm

“…According to [13], many manufacturers have large amounts of data available, but are limited in their ability to analyse and effectively translate them into revenue. The concept of smart data enables real-time data stream analysis, providing enormous improvement in real-time problem-solving as well as cost prevention.…”

“…According to this, it can be assumed that smart data and analytics will be the foundation for areas such as: proactive maintenance, forecasting and automation. In a practical case study provided in [13], a company named ConAgra Mills make 800 different kinds of flour for its clients. They introduce a predictive tool named: "building smarter manufacturing with the internet of things"; in this way customer demand, capacity requirements and pricing forecast is achieved, and the way decisions are made increased production capacity utilization in 5% as well as maximize revenues.…”

“…Sketching a number of different techniques (e.g., modelling, machine learning and statistical methods), it is possible to predict what might happen in the future based on probability of reliability. The current flow of data is then analysed to identify known patterns for prediction of future similar events [13]. Big data and cloud computing for i4 are viewed as data services that utilize the data generated in i4 implementations, but are not independent as i4 components [6].…”

Attribute identification and predictive customisation using fuzzy clustering and genetic search for Industry 4.0 environments

“…Coined in the late 80's, the term mass-customized production has become a subject of research along with the proliferation of information throughout the IoT in the 21 st century affecting business strategies and acquiring goods & services [5]. This implicates that mass customisation in manufacturing's supply chain, material flow and information concerns, and connection between product types had a direct effect on customer satisfaction [6].…”

“…Customized manufacturing describes a process for which all involved elements of the manufacturing system are designed in a certain way that enable high levels of product variety at mass production costs [5] -the reason why companies today are facing challenges as a result of customers' increasing demand for individualized goods and services. With the development and introduction of CPS into the manufacturing process, manual adjustments and variations on product quality can be minimized by connecting the virtual part of the process through computer-aided design (CAD) and comparing the desired information to target optimal features.…”