Learn about the key concepts and terms you will encounter on your digital transformation journey.
Model training is the process of training an ML algorithm with adequate training data to demonstrate correlation between the outcome and the influencing variables.
Performance benchmarking is a strategic exercise that helps manufacturers understand and quantify their performance relative to their competitors and class standards.
Pareto analysis identifies areas around business projects where 20% effort can potentially create outcomes equivalent to 80% of similar effort elsewhere within the same project.
ISA 95 is a standard that enables data exchange between the different levels of a manufacturing process and allows connection from production floor to the boardroom.
A data historian is a software that enables the logging of production data from processes that are executed in a manufacturing system.
Just-in-Time manufacturing facilitates efficient use of available resources to reduce turnaround time in a production system, as well as help lower the cost of holding by only focusing...
Line quality control systems help manufacturers enhance precision and reduce wastage by monitoring and regulating product specifications that impact quality.
OPC UA is a communication protocol that can enable data exchange within a machine, between machines, and between machines and systems for industrial automation.
Smart manufacturing uses data-driven technologies combined with manufacturing capabilities to render efficiency, agility and flexibility in the physical manufacturing processes.
Total Quality Management is the continual process of identifying and minimizing or eliminating errors or inconsistencies in a manufacturing process.
Edge computing is a computational process that helps minimize processes running in the cloud by moving them to local places like the user's computer, or an edge server...
Root cause analysis is used to identify the reason for a deviation or irregularity in the production process, and can be used to predict problems before they occur.
Operational technology is a collection of computing systems that manage and monitor the physical operations in manufacturing.
A Machine Learning model is a functional or mathematical representation of a physical process. They are built around Machine Learning algorithms that are trained with either labeled or...
Lean manufacturing is a set of continuous improvement methods that eliminate waste and maximize efficiency, effectiveness and productivity.
Interoperability is the integrated compatibility established between multiple unlike systems to facilitate communication and data exchange.
Industry 4.0 is the mesh of information-rich networks connected to form an IoT enabled ecosystem that enables the digital transformation of manufacturing processes (across industries).
Digitization is the conversion of different types of data or information into binary codes. These codes facilitate human- machine cooperation that streamline operating procedures.
A digital twin replicates physical assets on the factory floor., that is used to simulate, study and predict all conditions on the factory floor.
The digital thread is the framework that allows the flow of data across the entire product lifecycle. This visibility streamlines the manufacturing process.
Cloud computing is the on-demand delivery of IT resources over the internet
An algorithm is a sequence of well-defined instructions to solve a problem. It is the blueprint for all computerized behaviors that optimize production.