Branche: SME

Trends and Challenges in Factory Software

Trends and Challenges in Factory Software

Norbert Gronau ORCID Icon
Any networked information system that is used in the context of manufacturing and logistics in a factory can be referred to as factory software. This article describes six trends that will significantly influence the way software is used in factories in the near future. The trends are described in ascending order in terms of significance of impact.
Industry 4.0 Science | Volume 39 | 2023 | Edition 1 | Pages 114-119 | DOI 10.30844/I4SE.23.1.114
MES for Manufacturing SMEs

MES for Manufacturing SMEs

Adapted procedure model and tool for an effcient selection
Rainer Eber, Steffen Schwarzer, Daniel Miller
Manufacturing SMEs are structurally di erent from other companies and therefore have special requirments for Manufacturing Execution Systems (MES) and the associated software selection. Process models must therefore be adapted. For the identication of requirements, a systematic categorization based on existing models was performed. With the help of an existing market research platform, further selection steps were developed in order to provide a useful and easy-to-use tool for SMEs, which enables them to select efficiently sufficient MES-software according to their needs.
Industrie 4.0 Management | Volume 38 | 2022 | Edition 3 | Pages 21-24
Additive Manufacturing Value Chain

Additive Manufacturing Value Chain

Development of an SME-specific value chain of additively manufactured final metal parts
Tim Niklas Mai, Martin Brylowski, Ayman Nagi, Wolfgang Kersten ORCID Icon
Additive manufacturing processes are becoming increasingly important in industry and enable the cost-e ective production of complex components in small quantities. Small and medium-sized enterprises (SMEs) in particular can bene t from the high customization potential enabling the development of new business models. However, the widespread use of additive processes faces high production costs and technological challenges. Meanwhile, scienti c research focuses on the optimization of individual process steps of additive manufacturing and does not o er su cient support for SMEs. Therefore, this paper deals with the development of a cross-process value chain of additive manufacturing for SMEs. Based on a systematic analysis of scienti c literature, relevant additive manufacturing processes were investigated, and a cross-process value chain was derived. The results were veri ed by expert interviews and central research and development requirements were extracted.
Industrie 4.0 Management | Volume 38 | 2022 | Edition 3 | Pages 25-30 | DOI 10.30844/I40M_22-3_25-30
Biomimetics in Holistic Production Systems

Biomimetics in Holistic Production Systems

Biomimetic Methods to Support Process Standardization in SMEs
Annika Lange ORCID Icon, Patrick Gering, Nicole Oertwig ORCID Icon, Thomas Knothe ORCID Icon
Holistic production systems (HPS) do not only produce positive effects in large companies - they also have an impact on small and medium-sized enterprises (SMEs), such as improved adherence to delivery dates. However, HPS cannot be copied from large companies to SMEs due to different initial situations and circumstances. The introduction of HPS means a high effort for SMEs. In this paper, an approach is presented on how a bionic principle can make HPS less costly and at the same time more effective for SMEs.
Industrie 4.0 Management | Volume 38 | 2022 | Edition 1 | Pages 57-60
Ready for Artificial Intelligence?

Ready for Artificial Intelligence?

Recommendations for the AI transformation for small and mid-sized enterprises
Ralf Klinkenberg, Philipp Schlunder
Artificial intelligence (AI) is the next stage in the digitalization of the economy. The technology also offers great potential for small and mediusized enterprises (SMEs). However, many SMEs are still reluctant to introduce AI and are only at the beginning of digitization: only around one fifth of all SMEs in Germany have thoroughly digitized their own processes and departments. What does this mean for the use of AI in companies? What steps should businesses take now to take advantage of the opportunities AI offers? And what stumbling blocks should be avoided? This article presents practical implementation concepts for companies with different levels of digital maturity and AI deployment capabilities and shows the range of potential benefits of AI applications in different industries and with different value creation architectures in medium-sized companies.
Industrie 4.0 Management | Volume 37 | 2021 | Edition 6 | Pages 62-66
Feasibility Analysis of Hybrid Value Creation − An Approach for Analysing the Feasibility of Hybrid Value Creation Business Models in the Context of SMEs

Feasibility Analysis of Hybrid Value Creation − An Approach for Analysing the Feasibility of Hybrid Value Creation Business Models in the Context of SMEs

Ein Ansatz für die Analyse der Machbarkeit von Geschäfts-modellen hybrider Wertschöpfung im Kontext von KMU
Christian Köhler, Tobias Mahl
The diffusion of networked, intelligent products and production goods within the framework of Industry 4.0 is not only changing production, but is also causing the emergence of new forms of value creation and new types of business models that offer products and services in an integrated manner. This trend is called hybrid value creation and aims to offer customers holistic and individual solutions. The development of such business models requires a multi-criterial feasibility study. This paper deals with the specifics of the feasibility study of hybrid value creation business models.
Industrie 4.0 Management | Volume 37 | 2021 | Edition 5 | Pages 16-20 | DOI 10.30844/I40M_21-5_S16-20
Development of a Methodology for Selecting a Traceability System

Development of a Methodology for Selecting a Traceability System

Entwicklung einer Methodik zur Auswahl eines Traceability-Systems
Nicolas Wittine ORCID Icon, Tim Trostmann, Ana Luiza Amaral Bicalho, Christian Kern, Sigrid Wenzel ORCID Icon, Robert Refflinghaus
Traceability systems are used in large companies to trace and track products. Although these systems aid to avoid quality and cost risks, they are only used hesitantly in SMEs. This is partly due to a lack of market transparency. Consequently, a methodology is needed that enables SMEs to capture their requirements using reference products and processes and to map them to available software solutions. This paper deals with a methodology that simplifies the selection process and focuses on the approach regarding the creating reference products and processes.
Industrie 4.0 Management | Volume 36 | 2020 | Edition 6 | Pages 35-38
Ten Commandments for a Successful Implementation of Digitalization Projects

Ten Commandments for a Successful Implementation of Digitalization Projects

Guidelines for Digital Transformation
Mikko Börkircher, Veit Hartmann, Tim Jeske ORCID Icon
In many companies there is still a lack of clarity about the “right” way to implement digitalization projects. Therefore, the article describes guidelines for the successful implementation of digitalization projects. They are derived from the experience of various practical projects and include considerations of economic efficiency as well as resources and staff. Structured as “Ten Commandments for Digitalization Projects”, they are designed to support actors in the practical implementation of digitalization projects
Industrie 4.0 Management | Volume 36 | 2020 | Edition 6 | Pages 55-58
Crowdsourcing for Industrial Innovations − Solutions and Challenges for SMEs

Crowdsourcing for Industrial Innovations − Solutions and Challenges for SMEs

Christof Thim, André Ullrich ORCID Icon, Felix Eigelshoven, Norbert Gronau ORCID Icon, Ann-Carolin Ritter
Innovation activity in the industrial environment is shifting towards product-service systems as a result of digitalisation. Small and medium-sized enterprises have so far focused their development activities strongly on product development. The switch to “smart” products and the coupling to services often requires personnel and financial resources that SMEs cannot provide. Crowdsourcing is one way of opening up the innovation process to external actors and realising cost and speed advantages. However, the integration of crowdsourcing elements faces several challenges. This article shows both the potentials and the barriers of crowdsourcing in the industrial environment.
Industrie 4.0 Management | Volume 36 | 2020 | Edition 6 | Pages 9-13 | DOI 10.30844/I40M_20-6_S9-13
The Potential Model

The Potential Model

Supporting SMEs in selecting suitable Industry 4.0 solutions
Patrick Schumacher, Christian Weckenborg ORCID Icon, Thomas S. Spengler, David Schneider, Tobias Huth, Thomas Vietor
The implementation of Industry 4.0 solutions offers great potential for meeting growing challenges in the context of digitization. Nevertheless, particularly small and medium-sized companies are hesitant to implement Industry 4.0 solutions. Within the framework of the ERDF research project »Synus«, methods and tools were developed to support small and medium-sized companies in the evaluation and selection of Industry 4.0 solutions. This contribution presents the potential model, which enables small and medium-sized enterprises to select suitable Industry 4.0 solutions.
Industrie 4.0 Management | Volume 36 | 2020 | Edition 6 | Pages 25-29 | DOI 10.30844/I40M_20-6_S25-29
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