digitalization

Comparison and evaluation from research findings of 28 process models considering digitalization measures are presented. Furthermore, our own-developed process model, based upon interviews with professional managers, is reported. Our process model enables managers to deal with technology coming along with industry 4.0, such as the implementation of socio-technologies.

The complexity of logistic networks and systems is growing in today’s globalized world. Consequently, there is a rising demand on digitalization in this sector in order to gain a competitive advantage on the market. This paper introduces policy instruments suitable to boost the demand for uptake of information and communication technologies (ICT) in the logistics sector. Experts and stakeholders have been consulted on this topic and an EUwide survey has been launched. The consultations indicated barriers for the implementation of relevant technologies and showcased the appropriate demand-side policy measures able to overcome these barriers, thus motiva-ting companies to digitalize. As a result, several instruments to boost ICT-implementation in transport and logistics were recommended to the policy makers.

Digitalization changes industrial value-added processes as well as the expectations and requirements of customers, staff, suppliers and partners. For industrial companies, these changes bring risks and opportunities. They need to react and adapt their products and services to remain competitive and survive in the digital age. With service design and design thinking, companies can identify future-proof business areas to develop products and services that bring users added value. We will introduce you to the nature and effects of such design processes and outline the benefits for your company.

The core task of logistics can be described by the so-called “seven R”. IT means that the right product must be available in the right condition at the right time and at the right place. In addition, further key factors of a well-functioning logistics system are the right quantity, the right costs and the right information. Providing right or incorrect information at the wrong time can have a significant repercussion on the entire process. In particular, the human being who is the recipient of the information has the demanding task of correctly select and interpret it. Therefore, the human-machine interface plays a decisive role in the communication success between human employees and the digital systems surrounding the human at work. On that account, new user interfaces that do not burden people and provide information in a way that it can be perceived intuitively are needed in the future. This is where data glasses come into play.

The topic Internet of Things (IoT) is omnipresent and has already found its way into many living rooms under the term Smart Home [1]. Be it lamps, heaters or the television set - everything is interconnected and easy to control from anywhere. The corresponding counterpart in manufacturing is Industry 4.0, sometimes named the Industrial Internet of Things. Companies and research institutions are working intensively on the possibilities offered by the so-called fourth industrial revolution. The forward-looking positioning of the German economy in international competition requires that the development and distribution of concepts and solutions in the context of Industry 4.0 be actively shaped by the industry itself and thereby to play a pioneering role in innovation [2]. Due to the rapid pace of development, it is essential for German companies to identify, develop and adapt new methods and technologies at an early stage and to transform them into marketable solutions.

Technicians and service operators in machine and plant engineering need more and more information to assemble the more complex products. Additional effort is necessary, when technicians have to document their work progress or report problems. One reason for this is that production is generally not integrated into the digital flow of information. Case studies from the industry show the high potential of innovative software solutions by integrating the production perfectly into the digital information flow.

Current advances result in increasingly complex production programs. Through combination of additive manufacturing and Industry 4.0, new elements can be formed and - as a whole - enable to economically manufacture the above mentioned programs. The Bionic Smart Factory 4.0 provides a framework, structuring them in terms of relation and interaction. Their development and implementation is being promoted through their evaluation against the determinants of complex production programs.