Manufacturing Execution System

White Paper: PARSEC

Through in-depth interviews with leading global manufacturers, the International Data Center (IDC) established the value and impact TrakSYS has on manufacturing operations. Across their 20-page analysis, IDC delves into how TrakSYS enables results like: ·       A 454% three-year ROI  ·       A 9-month payback of upfront costs ·       A 28% reduction in manufacturing errors ·       A 30% increase in error resolution speed ·       A savings of $2.32 million in material costs  ·       An addition of $3.25 million to annual revenue To learn more about these results and how TrakSYS can help elevate your operation, download IDC's business value study now.

White Paper: LEGIC

Anthony Fitze, Carl Fenger, LEGIC Identsystems An Overview of LEGIC for the complete version - Click Download. In industrial environments, mass deployment of sensors and the ability to securely collect and process data from fixed and mobile assets increases efficiency and enables better business decisions. It makes it easier to streamline processes, reduce errors, support auditing and enforce quality control. The common denominator: Trust Connecting sensors to the internet is not enough. Improving processes via the “Industrial Internet of Things (IIoT)” depends on a common denominator: Trust. If users, sensors and their interactions cannot be trusted, the results can be costly and even catastrophic, especially where volatile assets and safety are involved, which is often the case. The Three Pillars of Trust in the IIoT Being able to trust in IIoT data relies on linking authenticated users with trusted sensors/objects so that their interactions are reliable, transparent and accountable. Accomplishing this relies on three principles: 1. Accountability: users must be authenticated and accountable before gaining access to sensors or infrastructure. Access permissions must be assigned based on roles, training and authorizations plus context-based criteria such as time and location. Permissions must be autonomously enforced, both online and offline, to minimize human error and support 24/7 operation. All activities must be transparent and auditable. 2. Security: equipment must be configured and accessed by authorized users onsite. As sensors at the edge are the most vulnerable component of an IIoT system, physical hardware-level security must be implemented in the form of an embedded Secure Element for hosting of cryptographic keys and user permissions. 3. Transparency: all interactions between users and devices must be trustable, auditable and transparent to authenticated users. At the same time, they must not be visible to, nor subject to  interception by unauthorized parties either at the sensor, along local area networks, air interfaces or over the public internet. Security by Design: LEGIC Connect mobile credentialing platform for IIoT system users LEGIC Connect is a mobile credentialing platform that securely distributes mobile credentials or other data to registered iOS or Android smartphones or tablets anytime, anywhere and instantly at the touch of a button.  The system provides a globally available, AES encrypted, end-to-end mobile credentialing service that is the backbone of establishing trust and accountability in user/sensor /infrastructure interactions. The system can be easily integrated into existing infrastructure and applications, enabling service operators to manage user permissions and send/receive data securely from/to smartphones and sensors. For details see www.legic.com/connect

White Paper: MVTec Software GmbH

Introduction Semiconductor manufacturing is not brand new anymore. Nevertheless, the global attention and demand for this “old economy” could hardly be greater. It is driven by megatrends such as digitalization, climate change and sustainability. However, manufacturing is highly complex, small-scale, and supply chains are subject to political, economic, and logistical dislocations. Demand turbulence, triggered by the Corona pandemic, is causing semiconductor shortages in many industries. In addition, geopolitical forces and trade disputes are also tightening the supply of semiconductors. And finally, an imbalance between supply and demand is resulting from the sharp increase in demand in the consumer electronics sector. Since the start of the Corona pandemic, demand for 5G phones, laptops, and other consumer electronics for the home office has grown rapidly. At the same time, cars are increasingly becoming true computers on wheels, relying on electronics and semiconductors to power battery management, driver assistance systems, and consumer electronics. To ensure the availability of semiconductors and to become less dependent on supply chain disruptions, semiconductor manufacturing capacity is currently being rapidly built in many regions of the world. The production of semiconductors is complex and involves more than 1,000 different process steps. The construction of production facilities is correspondingly complex and sensitive. In addition, the individual manufacturers of semiconductors have also implemented different processes in their production. There are also different types of wafers and chips, which place different demands on production. Thus, there is no such thing as a uniform semiconductor manufacturing process. This means that flexible technologies are needed for the industry that can quickly add value despite different processes. One such key technology is machine vision. The advantage is, in particular, that in the high-precision production of semiconductors, the numerous necessary inspection and alignment processes can be automated and carried out with high precision.