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The manufacturing of eyeglasses is a great example of customized mass production. Its globalization results in high data and product traffic, which can only be economical if the process allows a 100 % first time lens-frame fit. TH Köln developed a machine which prints viscoelastic polymer structures on machined glass edges. This method allows a five times lower accuracy in manufacturing and improves results in mechanical tension, optics and lens fit. It has shown to be highly successful with great potential in additional sectors.

A supply chain is a worldwide network of suppliers, manufacturers, warehouses, distribution centres and retailers through which raw materials are procured, transformed and delivered to customers. In recent years, a new systems approach to supply chain management has emerged at both tactical and operational levels. It views a supply chain as an interaction of intelligent (software) agents that are responsible for one or more activities and interact with other related agents in planning and executing tasks. In this article two application examples of so-called multi-agent systems for supply chain management are presented.

Based on known deficits, the article recommends measures for a successful realization of the concept Industry 4.0 on the levels “Business”, “Functional” and “Information” of the RAMI-4.0-Framework. The technical foundations to meet the expectations of Industry 4.0 and Smart Manufacturing are in place; a correction of the named deficits in the near future seems realistic.

The urban population is growing and with it the need to meet the emerging challenges with sustainable solutions. The concept of the Physical Internet (PI) represents such an approach, which includes a complete supply chain perspective, but also a direct effect on the urban environment. At the same time, its implementation comes with requirements for the integration into the city district, which makes it necessary to adapt various urban characteristics. This article creates a generic design framework for this.

The manufacturing share of laser powder bed fusion (L-PBF) increases in industrial application, but still many process steps are manually operated. Additionally, it is not possible to achieve tight dimensional tolerances or low surface roughness. Hence, a process chain has to be set up to combine additive manufacturing (AM) with further machining technologies. To achieve a continuous workpiece flow as basis for further industrialization of L-PBF, the article presents a novel substrate system and its application on L-PBF machines and post-processing. The substrate system consists of a zero-point clamping system and a matrix-like interface of contact pins to be substantially connected to the workpiece within the L-PBF process.

Additive manufacturing technologies, such as 3D printing, have reached a stage of performance for industrial application such as small series and spare parts. The adoption of additive manufacturing has so far mostly been investigated from the perspective of individual manufacturing firms. This paper focuses on the identification of overarching influence factors. In a category system, influence factors are analyzed from the perspectives of the supply and demand side, the supply chain actors and flows as well as sustainability, thus contributing to the adoption from a supply chain perspective.

The digital twin is well on the way to becoming an elementary part of the corporate world. Corporate leaders hope that these intelligent images of an increasingly dynamic corporate reality will significantly reduce complexity. Ideally, model-based analyses and (partially) automated decisions using methods of simulation technology and artificial intelligence based on optimized IoT data management can make their contribution to corporate agility. In addition to the definition of terms/concepts, the paper will discuss current challenges and present various examples of their application. Based on these ideas, a process model for the introduction of digital twins in terms of technology migration will be presented.

As the Ernst & Young (EY) Global Printing Report 2019 shows, the use of additive manufacturing has skyrocketed from 24 % in 2016 to 65 % in 2019 within the past three years. Furthermore, around every second company wants to produce end products generatively in the next three years. In order to achieve this, more and more companies are considering how they can use additive manufacturing processes not only for prototypes, but also for contract manufacturing through to mass production of series parts.

Additive Manufacturing (AM), also commonly called 3D-Printing, is very recent technology. Numerous innovations have improved their capabilities in the last few years. These improvements combined with ambitious promises made by 3D-Printing companies have led to some disregard of the physical and economical limitations of these technologies. As impressive as the opportunities especially in light weight construction may be, the technical, physical and economical restrictions have to be considered. This article focuses on the premises and restraints as well as the opportunities of AM-technology.

By integrating specific material properties through the manufacturing process Selective Laser Melting (SLM) into a topology optimization, the product engineer can be supported by simulation in the design process. For this purpose, a topology optimization method is being developed which takes the process-specific material properties of the SLM into account during the optimization process. This method is part of a project funded by the German Research Foundation (DFG). In this article, the influence of these specific material properties on the design is presented.