Search

In today’s interconnected world, the pace of change is increasing gradually and the effects of an event can propagate and disrupt industries, organizations or companies more dramatically and quickly. Therefore, having a comprehensive overview of the environment is a precious asset for resilience and sustainable growth. One enabler of the above-mentioned interconnectedness is the rapid flow and vast availability of information in text form, which can be also used as the fundamental resource to understand the shifting environment. Hence, actors can be able to become aware of changes at an early stage. The underlying patterns to filter relevant information can be detected by learning from data, or more specifically machine learning. Natural language processing (NLP) techniques can be applied because text data is analyzed. However, to embed the expertise and perspective of the user into the initial model, data should be labeled. This requires valuable expert time from the organization for the labeling, thus it should be minimized. This study aims to present an efficient and user-friendly solution for data labeling. To achieve this, a modularized Active Learning-based backend is combined with an intuitive interface. The output of this labeling process will be used further to train a model for environment analysis. Nevertheless, the main focus of this paper is the development of a solution to maximize efficiency during data labeling for environment analysis. After an introduction to the problem, the overview of the suggested solution accompanied by a prototype will be demonstrated.

In today’s interconnected world, the pace of change is increasing gradually and the effects of an event can propagate and disrupt industries, organizations or companies more dramatically and quickly. Therefore, having a comprehensive overview of the environment is a precious asset for resilience and sustainable growth. One enabler of the above-mentioned interconnectedness is the rapid flow and vast availability of information in text form, which can be also used as the fundamental resource to understand the shifting environment. Hence, actors can be able to become aware of changes at an early stage. The underlying patterns to filter relevant information can be detected by learning from data, or more specifically machine learning. Natural language processing (NLP) techniques can be applied because text data is analyzed. However, to embed the expertise and perspective of the user into the initial model, data should be labeled. This requires valuable expert time from the organization for the labeling, thus it should be minimized. This study aims to present an efficient and user-friendly solution for data labeling. To achieve this, a modularized Active Learning-based backend is combined with an intuitive interface. The output of this labeling process will be used further to train a model for environment analysis. Nevertheless, the main focus of this paper is the development of a solution to maximize efficiency during data labeling for environment analysis. After an introduction to the problem, the overview of the suggested solution accompanied by a prototype will be demonstrated.

In recent years, the framework conditions on the Chinese market for machine and equipment manufacturing have changed significantly. By now, products are expected to be customized and at the same time offered at low prices with fast delivery times. Thereby, customer-specific production processes are becoming increasingly important in manufacturing. In addition, German small and medium-sized companies are confronted with a progressively turbulent business environment. For example, Chinese customers expect that orders can still be changed after they had been placed. Hence, companies must be able to identify shortterm changes and individual requirements at an early stage. In order to withstand the competitive pressure, alternative courses of action must be created by generating new process variants quickly and reliably. To address this challenge, an approach for the automated generation and realization of processes based on an integrated enterprise model for supporting agile shop floor management as part of an agile process management system is being developed in the German-Chinese joint research project “MAP” and proposed in this paper. Starting with an introduction into the subject matter, the development gap is demonstrated and an approach as well as an early prototype is presented, followed by an outlook on further development in the research project.

Currently, companies are becoming increasingly vulnerable towards unforeseen disruptive events. One example of such an event is the COVID-19 pandemic, in which many companies are facing existential difficulties. The sudden loss of suppliers and customers as well as frequent changes in regulations at short notice present companies with considerable challenges. Potential uncertainties and complexity complicate the planning and the implementation of measures. A fast and effective overview and the benefit of measures is usually missing. Situation awareness monitors have long provided orientation for first responders and rescue operators within the field of crisis management and can be just as relevant for companies. Identifying, gathering, interpreting and visualizing external information from the corporate environment in relation to relevant disruptions remains an unsolved problem. In addition to the decision to implement effective measures before, during and after a crisis, an approach for the simulation of the disruptive impact and the effect of resilience measures on the company’s performance as well as liquidity is required. In this paper, a Situation Awareness Monitor (SAM) for resilience management is presented to address the aforementioned issues. First, the model-based IT architecture for the monitor is depicted. The enterprise model is coupled with an approach to assess critical processes of small and medium enterprises. Statistical models are applied to draw up the balance between single components, like input, output, supplier, storage and production. The result shows a continuous performance-based liquidity assessment to evaluate the resilience against disruptive events. Finally, single enhancement measures in alignment to the resilience phases – prepare, prevent, protect, respond and recover – can be analyzed.

Currently, companies are becoming increasingly vulnerable towards unforeseen disruptive events. One example of such an event is the COVID-19 pandemic, in which many companies are facing existential difficulties. The sudden loss of suppliers and customers as well as frequent changes in regulations at short notice present companies with considerable challenges. Potential uncertainties and complexity complicate the planning and the implementation of measures. A fast and effective overview and the benefit of measures is usually missing. Situation awareness monitors have long provided orientation for first responders and rescue operators within the field of crisis management and can be just as relevant for companies. Identifying, gathering, interpreting and visualizing external information from the corporate environment in relation to relevant disruptions remains an unsolved problem. In addition to the decision to implement effective measures before, during and after a crisis, an approach for the simulation of the disruptive impact and the effect of resilience measures on the company’s performance as well as liquidity is required. In this paper, a Situation Awareness Monitor (SAM) for resilience management is presented to address the aforementioned issues. First, the model-based IT architecture for the monitor is depicted. The enterprise model is coupled with an approach to assess critical processes of small and medium enterprises. Statistical models are applied to draw up the balance between single components, like input, output, supplier, storage and production. The result shows a continuous performance-based liquidity assessment to evaluate the resilience against disruptive events. Finally, single enhancement measures in alignment to the resilience phases – prepare, prevent, protect, respond and recover – can be analyzed.

In recent years, the framework conditions on the Chinese market for machine and equipment manufacturing have changed significantly. By now, products are expected to be customized and at the same time offered at low prices with fast delivery times. Thereby, customer-specific production processes are becoming increasingly important in manufacturing. In addition, German small and medium-sized companies are confronted with a progressively turbulent business environment. For example, Chinese customers expect that orders can still be changed after they had been placed. Hence, companies must be able to identify shortterm changes and individual requirements at an early stage. In order to withstand the competitive pressure, alternative courses of action must be created by generating new process variants quickly and reliably. To address this challenge, an approach for the automated generation and realization of processes based on an integrated enterprise model for supporting agile shop floor management as part of an agile process management system is being developed in the German-Chinese joint research project “MAP” and proposed in this paper. Starting with an introduction into the subject matter, the development gap is demonstrated and an approach as well as an early prototype is presented, followed by an outlook on further development in the research project.

Die Frage von Differenz und Alterität stellt sich heute in aller Dringlichkeit. Sie ist einerseits von Prozessen der Dezentrierung und massiven Anfechtungen einstiger universalisierter Dominanzverhältnisse geprägt, andererseits zeigen sich aber auch Re-Zentrierungen und Ausschlüsse durch die Privilegierung eines dominanten Eigenen, Eindeutigen und ‚Mehrheitlichen‘. Wie können un­terschiedliche, von menschlichen, nichtmenschlichen oder mehr als menschli­chen Seinsweisen bewohnte Welten auf einem vielfach kontaminierten Plane­ten geteilt werden? Welche Rolle kann ‚Feminismus‘ in Gegenwarten spielen, die von ihren Vergangenheiten heimgesucht werden und in denen Zukünfte entstehen und vergehen? In dem Beitrag wende ich mich zwei Herausforderungen zu: erstens dem Sichtbarmachen von Differenzen und prekären Leben gegen universalisie-ren­de Selbsterhöhungen und zerstörerische Identitätspolitiken und zweitens ei­nigen Beispielen situierter feministischer Praktiken, die sich dem Spuken der Verletzungen und der Alterität öffnen.

Sammelband mit Aufsätzen der ersten gemeinsamen Tagung der deutschen Fachgesellschaft Geschlechterstudien, der Österreichischen Gesellschaft für Geschlechterforschung und der Schweizerischen Gesellschaft für Geschlechterforschung unter dem Titel „Aktuelle Herausforderungen der Geschlechterforschung“. Die Konferenz wurde vom 28. bis zum 30. September 2017 von GeStiK – Gender Studies in Köln an der Universität zu Köln ausgerichtet. Sie wurde gemeinsam mit und für die Fachgesellschaften konzipiert und vorbereitet.

This paper illuminates the colonial project of medicalizing and diciplining trans* bodies in order to disrupt 'Western code' trans* narratives. We will first explore different systems of control concerning (trans*)gender that are employed by the 'Western code': biologization, temporality, classification, and pathologization. We will then move on to reflect on some realities of trans*-specific healthcare and its colonial heritage. In both of these sections, our attention lies with 'invisibility fields' (in Germany and South Africa) – the cloaked power structures that disguise the colonial project as somebody else’s problem. Finally, in an attempt to interrupt and provincialize 'Western code' trans* narratives, we open up space for counternarratives and stories of resistance.

Die Frage von Differenz und Alterität stellt sich heute in aller Dringlichkeit. Sie ist einerseits von Prozessen der Dezentrierung und massiven Anfechtungen einstiger universalisierter Dominanzverhältnisse geprägt, andererseits zeigen sich aber auch Re-Zentrierungen und Ausschlüsse durch die Privilegierung eines dominanten Eigenen, Eindeutigen und ‚Mehrheitlichen‘. Wie können un­terschiedliche, von menschlichen, nichtmenschlichen oder mehr als menschli­chen Seinsweisen bewohnte Welten auf einem vielfach kontaminierten Plane­ten geteilt werden? Welche Rolle kann ‚Feminismus‘ in Gegenwarten spielen, die von ihren Vergangenheiten heimgesucht werden und in denen Zukünfte entstehen und vergehen? In dem Beitrag wende ich mich zwei Herausforderungen zu: erstens dem Sichtbarmachen von Differenzen und prekären Leben gegen universalisie-ren­de Selbsterhöhungen und zerstörerische Identitätspolitiken und zweitens ei­nigen Beispielen situierter feministischer Praktiken, die sich dem Spuken der Verletzungen und der Alterität öffnen.

Sammelband mit Aufsätzen der ersten gemeinsamen Tagung der deutschen Fachgesellschaft Geschlechterstudien, der Österreichischen Gesellschaft für Geschlechterforschung und der Schweizerischen Gesellschaft für Geschlechterforschung unter dem Titel „Aktuelle Herausforderungen der Geschlechterforschung“. Die Konferenz wurde vom 28. bis zum 30. September 2017 von GeStiK – Gender Studies in Köln an der Universität zu Köln ausgerichtet. Sie wurde gemeinsam mit und für die Fachgesellschaften konzipiert und vorbereitet.

This paper illuminates the colonial project of medicalizing and diciplining trans* bodies in order to disrupt 'Western code' trans* narratives. We will first explore different systems of control concerning (trans*)gender that are employed by the 'Western code': biologization, temporality, classification, and pathologization. We will then move on to reflect on some realities of trans*-specific healthcare and its colonial heritage. In both of these sections, our attention lies with 'invisibility fields' (in Germany and South Africa) – the cloaked power structures that disguise the colonial project as somebody else’s problem. Finally, in an attempt to interrupt and provincialize 'Western code' trans* narratives, we open up space for counternarratives and stories of resistance.