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Course of studies
Formal Description of Use Cases for Industry 4.0 Maintenance Processes Using Blockchain Technology
(2019)
Time – Made in Germany
(2019)
Flexible piezoresistive PDMS metal-thin-film sensor-concept for stiffness evaluation of soft tissues
(2019)
Neuroscience and Retail
(2019)
Semi-rigid ring-shaped electrode dielectric electroactive polymer membrane as buckling actuator
(2019)
Die Leitfrage der Bachelorarbeit lautet: „Wie reagieren Zulieferer von Verbrennungs-motorkomponenten auf die Veränderung der Automobilbranche durch den Trend der Elektrifizierung von Fahrzeugen?“. Aus dieser Leitfrage ergeben sich die folgenden Key Research Questions: „Was ist die Veränderung der Automobilbranche durch den Trend der Elektrifizierung von Fahrzeugen?“, „Wer sind die Zulieferer von Verbrennungsmotor-komponenten?“ und „Wie sind die untersuchten Unternehmen hinsichtlich externem Handlungsbedarf, internem Handlungsbedarf und Richtungsänderung zu bewerten?“. Durch die Beantwortung der Leitfrage und der Key Research Questions werden Beratungspotentiale identifiziert. Außerdem werden Zulieferer von Verbrennungsmotoren identifiziert, deren strategische Reaktion bereits Erfolg zeigt. Diese können bei einer Beratung als Benchmark dienen.
Due to the global increase in temperature, China has been dealing with severely increasing ecological disasters. The Chinese government has therefore increased its environmental protection measures in the past 15 years. This thesis delivers descriptive results of these measures, taken from the last three five-year plans as issued by the Chinese government. This is being done by applying the expected results of these measures into a so-called integrated assessment model. Furthermore, this thesis elaborates how integrated assessment models can be used in order to assess policies, such as these employed by the government of the PRC in order to compute their overall socio-economic impact on factors like welfare-maximization and technological advancement. This is rounded out by exploring the possibility of creating a holistic assessment model that combines the potential of backstop- and abatement technologies with a global or regionally disaggregated assessment model.
The rise of digital twins in the manufacturing industry is accompanied by new possibilities, like process automation and condition monitoring, real time simulations and quality and maintenance prediction are just a few advantages which can be realized. This paper takes a novel approach by extracting the fundamental knowledge of a data set from a production process and mapping it to an expert fuzzy rule set. Afterwards, new fundamental augmented data is generated by exploring the feature space of the previously generated fuzzy rule set. At the same time, a high number of artificial neural network (ANN)models with different hyperparameter configurations are created.
The best models are chosen, in line with the idea of survival of the fittest, and improved with the additional training data sets, generated by the fuzzy rule simulation. It is shown that ANN models can be improved by adding fundamental knowledge represented by the discovered fuzzy rules. Those models can represent digitized machines as digital twins. The architecture and effectiveness of the digital twin is evaluated within an industry 4.0 use case.
Cylindrical grinding is an important process in the manufacturing industry. During this process, the problem of grinding burn may appear, which can cause the workpiece to be worthless. In this work, a machine learning neural network approach is used to predict grinding burn based on the process parameters to prevent damage. A small dataset of 21 samples was gathered at a specific machine, grinding always the same element type with different process parameters. Each workpiece got a label from 0 to 3 after the process, indicating the severity of grinding burn. To get a robust neural network model, the dataset has been scaled by augmentation controlled by grinding experts, to generate more samples for training a neural network model. As a result, the model is able to predict the severity of grinding burn in a multiclass classification and it turned out that even with little data, the model performed well.
How value is perceived has a large influence on the purchase decisions of customers. Previous studies have focused mainly on the value perception of customers, but which role does the value perception of a seller play and what impact does it have on a sales conversation? Is the value of a product or service perceived equally by the seller and the customer or is there a significant difference?
In this research we will specifically focus on the tourism industry and find out how sellers and customers perceive the value of a package holiday. A total of 50 sellers and 100 customers participated in our survey and the results show, that there is a significant difference in the perceived value of the offered package holiday between sellers and customers. The sellers tend to perceive value lower than the customers and in addition, the sellers’ value perception is characterized by a lower variability. Furthermore, when it comes to estimating how the other side perceives value, our results show the opposite of what the respondents expected.
This research has the potential to provide an insight into the mind of the sales person and lead to a better understanding of sales psychology.
Influence of current density on the adhesion of seedless electrodeposited copper layers on silicon
(2019)
Trade shows are a major marketing tool for B2B companies due to its effectiveness by reaching all key players in the industry at one place in one point of time. However, this is combined with a high cost factor making a cost justification crucial. For this purpose, an objective explanation on the results of the trade show performance is compulsively necessary. The following research focuses on a single multinational B2B company within the safety, security and communication industry. It aims to convey an understanding of how to evaluate the trade show participation of Bosch Building Technology. Hereby, theoretical deliverables will be compared to explain relevant success factors of the B2B market and the industry while identifying trade show dimensions. This research includes expert interviews to gather information from professionals in the field of trade show organization. Subsequently to an internal survey research, the example of a best practice measurement model is analysed in a case study.
Many articles claim that the successful management of organizational change is from utmost importance to ensure the survival and prosperity of the company in the fast moving and ever-changing business environment. There are various techniques, models and theories that were created to help companies to cope with organizational change.
This thesis aims to conduct secondary research to answer the following research questions:
1. Are change management models still relevant in the 21st century concerning their applicability and expected outcome?
2. How can the Change Management models be compared?
3. What role does leadership play in organizational change management?
Therefore, the following eight change management models are considered:
• Lewin’s Change Model
• ADKAR Model
• Kotter’s 8-Step Model
• Kübler-Ross Change Curve
• McKinsey’s 7s Model
• Nudge Theory
• Bridges Transition Model
• The Satir change management model
It can be concluded that the eight change management models are still relevant in the 21st century but the implementation must be well planned and precisely organized and implemented in a faster pace than in the past. The models can be divided into two categories - organizational and individual change management theories. Through an analysis of the findings it can be stated that good leadership of the ongoing organizational change is indispensable. There is no doubt in the fact that change management needs to be well managed but in order to be well comprehended by the employees and sustained, effective leadership is necessary. It can be summarized that effective leadership of organizational
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change needs to combine the intellectual, spiritual, emotional and behavioral dimension with a strong focus on vision, values, corporate culture, strategy, empowerment of the employees, motivation as well as inspiration.
Data Recording System for Anesthesiology, Patient Monitor and Surgical Devices in Operating Rooms
(2019)
The relationship between health care practitioners and the pharmaceutical industry is increasingly drawing public attention due to misguided behaviour. Practices like gift giving, holding luxurious conferences or allowences for research are under scrutiny. With all these influences, how can practicioners stay neutral and have the interest of patients in mind? And what is the level of emotions and data used by the pharma industry when marketing drugs to a physician? In order to find out, we targeted pharmaceutical industry managers and directors to participate in an eleven question online questionnaire. For example, participants were asked to rate the best approach between data and emotions to persuade physicians. The results show tendencies in the data, but fail to show significant evidence for our hypotheses. Further research is needed in order to clarify which factors influence the decision for an emotional or data driven approach.