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Systematization models for taylor-made sensor system applications and sensor data fit in production
(2015)
Industrial digitalization to realize smart factories is driven by an informatory base of high-resolution data provided by sensor systems on the shop-floor level. The challenge of technical availability of fitting measurement solutions nowadays turns in a struggle of finding the optimal solution for a specific task in an ever-growing sensor market. This paper analyzes and specifies necessary models to systematically derive and describe organizational, technical and informatory requirements for sensor system applications increasing the technological fit for faster integration and lower misinvestment rates.
Systematization models for taylor-made sensor system applications and sensor data fit in production
(2015)
Industrial digitalization to realize smart factories is driven by an informatory base of high-resolution data provided by sensor systems on the shop-floor level. The challenge of technical availability of fitting measurement solutions nowadays turns in a struggle of finding the optimal solution for a specific task in an ever-growing sensor market. This paper analyzes and specifies necessary models to systematically derive and describe organizational, technical and informatory requirements for sensor system applications increasing the technological fit for faster integration and lower misinvestment rates.
Volatile electricity prices caused by an increase of renewable energy sources push producing companies towards taking in an active role in balancing the electricity grid. Possible actions at the customer side to actively adapt to volatile energy prices are called demand response actions. In production logistics such actions can be the modification of production schedules motivated by possible economic benefits. So far, the focus in scheduling problems has been the optimization in the dimensions of quality, time and costs. This paper presents the results of a simulation study on the economic benefits of demand response actions for a generic production system.
Aus dem privaten Alltag sind Soziale Technologien nicht mehr wegzudenken, doch zunehmend kommen diese auch innerhalb von Unternehmen zum Einsatz. Insbesondere Business-Communities können dabei helfen, Mitarbeiter zu vernetzen, und bieten speziell bei wissensintensiven Aufgaben erhebliche Potenziale. Da sowohl der systematische Aufbau als auch die Koordination einer Business-Community mit zahlreichen Aufgabenfeldern verbunden ist, werden oftmals schwerwiegende Fehler im Management dieser Communities gemacht, wodurch Nutzenpotenziale ungenutzt bleiben. Auch mangelt es in der Praxis an geeigneten Erkenntnissen über eine erfolgreiche Steuerung solcher Business-Communities.
Um die Erfolgswirkungen konkreter Koordinationsmechanismen zu untersuchen, führte das FIR an der RWTH Aachen gemeinsam mit der IntraWorlds GmbH eine Studie unter Community-Managern durch. Dabei hat sich herausgestellt, dass die Steuerungsinstrumente unterschiedlich und mit divergierendem Erfolg eingesetzt werden können.
In recent years supply chain participants are increasingly suffering the effects of disturbances in transportation supply chains. Both, dynamics in consumer demands and global supply chains lead to a growth in unplanned supply chain events. These can cause from rather manageable disturbances through to complete break-downs of transportation chains, resulting in high follow-up and penalty costs.
Consequently, concepts for an efficient supply chain disturbance management are needed, preferably with a real-time identification and reaction to disturbance events. Therefore in the following paper the research results of the German research project Smart Logistic Grids with the focus on designing an integrated model for the real-time disturbance management in transportation supply networks are presented. This includes the introduction of elaborated classification models for disturbances and action patterns as well as an associated costs and performance measurement system. Finally, a procedure model for the disturbance management is presented.
The steady increasing of supply chain complexity due to a rising global cross-linking of production and sales regions leads to an increasing sensitivity to disturbances while in the meantime the requirements of the availability, the time of delivery and the security of supplies within the supply chain increases. To meet this challenges the security of the supply chain infrastructure and the feasibility of supply chain processes need to be ensured, despite of the high specialization within the supply chain partners, the low stock and time buffers, and the information shortcoming between supply chain partners.
In this research, a System Dynamics simulation model, based on the manufacturing supply chain model of Sterman, has been developed for representing the actual complexity and dynamic in manufacturing supply chains. Therefore, the modeled manufacturing supply chain shows the processes of a four level supply chain focusing the processes and interactions of the mid-positioned two supply chain participants. The main contribution of the work described in this paper, is the description and implementation of necessary additional modules and parameters to Sterman’s basic model for the diagnosis of disturbance impacts as well as for the realization of supply chain adjustments. Finally, the model has been simulated and examined for realistic values.
Companies in the manufacturing industry are shifting towards a more service-oriented business model. One major challenge of this transformation is the information exchange between the different stages of the product-service-lifecycle.
We extend the existing body of knowledge by conducting an empirical study in the German manufacturing industry, addressing the cause-effect relationship between 1) information gathering over the product-service-lifecycle, 2) data analytics 3) interpretation and use of new information and 4) distribution of new product related information and the impact of these four aspects on performance.
The analysis reveals five different success factors with a significant impact on innovation and operation excellence. The implications from our research can help to develop new and more practical oriented Lifecycle-Product-Service-System approaches on the one hand. On the other hand it enables companies to focus on activities leading to higher service efficiency. Creating new stimuli will transform their existing business model to a more service-oriented one.