Your Industry 4.0 Journey

whitePaper | October 28, 2022

Manufacturing companies can integrate all the connected resources of a process and their various business applications – enterprise resource planning (ERP), manufacturing execution system (MES), product lifecycle management (PLM), and warehouse management system (WMS). They can also connect their assets, supply chain partners, and even customers through networks and the cloud.

whitePaper | March 22, 2020

Manufacturers are beginning to adopt AI technology themselves, marrying this new technology with the automation systems they already widely use with the advent of the programmable logic controller, manufacturers have been able to increase their productivity while employing fewer people. Here are three major AI ethical problems that manufacturing executive are facing.

whitePaper | August 1, 2022

One of the most important decisions that an asset-intensive enterprise must make is how to manage and care for its assets (i.e. equipment, buildings, plants and machinery). This is a decision that affects everyone in the organization, from the plant operators, to the engineers and all the way to executives in the C-suite. The solution will be different depending on the needs of the business and how each uses its assets.

whitePaper | October 23, 2021

Artificial Intelligence (AI) will increase the level of intelligence in the manufacturing industry by promoting, inter alia, the matching of production and demand, improving quality inspection, increasing product yield, reducing product failure rates, and improving production efficiency.1 While the last decade of Industry 4.0 was determined by technology-driven innovation, the coming years will focus on data- and intelligence-driven innovation. In this perspective, AI is an enabler for the transition from smart factories towards intelligent factories with self-optimising and self-healing characteristics. While smart factories are capable of applying previously acquired knowledge, intelligent factories will be able to autonomously acquire new knowledge and apply it for self-optimisation purposes.

whitePaper | March 29, 2023

Smart factories have various areas of strengths and weaknesses, just as people do. Strengths bring the opportunity for positive differentiation, whilst weaknesses offer challenges to address in order to deliver consistently on expectation. Many people like to measure their IQ to see how they compare in terms of being “Smart”— so why should we not do the same for the data-driven Smart assembly factory? This helps reveal both strengths and weaknesses, builds the roadmap for improvement and development, increases visibility of unique values, and eliminates risk derived from bottlenecks and inefficiencies. It is time to put our Smart, data-driven manufacturing operation to the test, ensuring preparedness as the industry transforms toward the elusive Industry 4.0.

whitePaper | January 10, 2023

Now COVID-19 has made it even more pressing to switch to digital, it is high time to say goodbye to manual, paper-based workflows in mass production factories. Digitization is the way forward to Industry 4.0. Because that’s the key to an Overall Equipment Effectiveness (OEE) of world-class level (85%). In reality, most plants today have an OEE closer to 60%. We believe the solution lies in a digital manufacturing platform that supports all plant work processes and utilizes advanced technologies like Machine Learning, IoT, AI and mobile. In this whitepaper, we will show you how such a digital manufacturing platform could work by describing three manufacturing processes: Task Management, Deviation Management and Root Cause Analysis, and how digitalization of these processes can help you achieve an OEE of world-class level.