SME

The research project “eStep Mittelstand - modular solutions for SME to strengthen the independent integration of ebusiness standards in complex supply chain processes” has developed solutions to build up the usage of ebusiness standards in business processes of SME. The methods and models enable SME to run successful ebusiness projects despite high complexity. The transformation to standardized, electronic business processes will be facilitated by the self assessment tool (SAT), the decision tree (EB) and the eStep Mittelstand Middleware (eMiMi). A DIN SPEC, developed together with the Deutschen Institut für Normung (DIN) e. V., provides a guideline to enlarge the functionalities of SAT and EB.

Industry 4.0 requires many efforts in terms of standardization. So far, small and medium-sized enterprises have scarcely been regarded in this context. This study presents empirical results from 225 SMEs regarding three contexts of standardization, inside the enterprise, interfaces with other enterprises and outside the enterprise. Differentiated for ten industry sectors, distinct characteristics and strategies for standardization regarding each industry sector are derived.

The requirements of industrial production have drastically changed in the past. Mass production has been the predominant approach for decades, but there is a growing demand for individualized goods. In particular, small and medium-sized enterprises (SME) deal with small lot sizes and even single-item production. These companies have very demanding requirements for robot deployment. Programming robots must be time efficient and not require specific expertise in robotics, so that shop floor workers can use them. In this article, we introduce a knowledge-based approach to address these issues.

The term Industry 4.0 has changed from a fashionable issue to a serious research and future-topic in industrial production. Research organisations work on sophisticated technologies and concepts to implement this fourth industrial revolution, research grants are provided generously and model factories get decorated. However, many companies still cannot understand the term industry 4.0 and the related consequences on their own business. Especially small and medium sized enterprises have not understood the benefits. For that reason the currently existing learning factory at the institute of industrial management and innovation research at Graz University of Technology is enlarged to an industry 4.0 learning factory. The concept behind is the object of this article.

Collaboration in dynamic networks enables in particular small and medium-sized enterprises (SMEs) to combine own resources and competences with complementary services of partners in order to improve competitiveness and to distribute risks. However, for the organization of setting up, efficiently operating and eventually also dissolving such networks, SMEs often lack necessary capabilities and human resources. Within this article, a methodology for network management is presented which comprises SME-suitable and easily applicable methods that significantly support efficient network management. The success of the methodology is illustrated with an example from the networked development of an innovative motorcycle helmet.

Knowledge management can be an important competitive advantage for many companies. Small and medium-sized enterprises (SMEs), which often have limited access to capital. The challenge in contract logistics is to identify an appropriate knowledge management approach. In particular, the process of proposal preparation is characterized by a high complexity and intensity of specific knowledge. This article presents a knowledge management approach for the tender preparation process of SME in contract logistics.

The handling of customer-individual requirements, product variants and a worldwide market requires the professionalization of knowledge-intense processes. Small and Medium sized Enterprises (SME) often have excellent individual competencies, but lack a systematic management of the associated knowledge. IT-solutions for Knowledge Management in SMEs provide limited functionalities and are thus rarely used. Therefore, a need exists for the business process oriented approach for Knowledge Management in SMEs, featured in this article. Implemented in a portal for information management, it supports optimization of knowledge-intense processes.

The purpose of this paper is to show how corporate strategy can be aligned with the production system of an enterprise to derive an operations strategy. Consequently, the operations strategy is employed to define prospective needs of agility. The research methodology builds upon action research that is realized in a long-term approach with two joint manufacturing companies. Both can be classified as small and medium sized enterprises (SME). The preliminary findings underline the importance of a holistic view towards agility emphasizing organization and people as major drivers of agility. These drivers are addressed by means of a playful intervention with LEGO-bricks.

Today’s new products and services must be marketed in cycles which are rapidly becoming shorter and shorter. The pricing pressure and the progressing trend toward individualisation of products pose a tremendous challenge for major sectors of the industry. In the future, therefore, the implementation of digital methods will be necessary to a much greater extent than in the past, not only in product development, but also in process, production, and factory planning. For ensuring their own survival in a globalised world, small and medium-sized enterprises will also be faced with the inescapable necessity of introducing the digital factory. In this context, 3D-CAD factory planning can be regarded as a basic prerequisite for successful implementation of the digital factory. However, this prerequisite has not yet been satisfied in many companies. In the present publication, an overall method for implementing computer-aided 3D-CAD factory planning in conformance with the requirements is ...

This paper describes an approach for knowledge based product configuration through the integration of experience and knowledge from the product use phase. The goal of this approach is to enable a faster and software-controlled harmonization of the different customer’s and the manufacturer’s point of view during the pre contract phase. Therefore a case-based reasoning method was developed to be integrated in a rule based product configuration system.