Advanced Manufacturing in the Digital Age

whitePaper | February 27, 2020

When selecting a manufacturer for plastic components, look for a partner who offers complete plastic solutions. Rather than providing just the base molding services, they should guide your team with project management from the initial design stage to the delivery of the finished product. At AdvanTech Plastics, we offer customers start to finish injection, insert and two-shot molding solutions.

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.

whitePaper | August 1, 2020

Imagine the power of a process model that defines the pace of your production. Imagine process mining insights, which allow you to feel the pulse of actual process performance. Imagine a digital twin as a virtual representation of your manufacturing processes. Imagine a single software which - at the same time - enables a more collaborative approach, with all members of the workforce working towards performance improvement, reducing waste & defects. Now stop imagining... that reality is here.

whitePaper | May 18, 2023

Frost & Sullivan created this visual whitepaper to educate the industrial landscape on Industry 4.0. Frost & Sullivan leveraged its 60+ years of market intelligence experience and distinguished reputation in industrial technologies to illustrate and discuss why industrial organizations should seriously consider embarking on a digital transformation journey by providing insightful concepts, facts, and concrete quantitative and qualitative evidence. We will first set the context by providing a brief historical background, discussing the evolution and disruptions of the industrial and manufacturing realms, and clarifying terminology by elaborating on the digitization, digitalization, digital thread, digital transformation, and digital maturity concepts (which are often incorrectly used interchangeably).

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 | 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.