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Different sensor types using chemical and biochemical principles are described. The former are mainly gas sensors, the latter are applied especially to liquids. Those label-free direct detection methods are compared with applications where assays take advantage of labeled receptors.
Furthermore, selected applications in the area of gas sensors are discussed, and sensors for process control, point-of-care diagnostics, environmental analytics, and food analytics are reviewed. In addition, multiplexing approaches used in microplates and microarrays are described.
On account of the huge number of sensor types and the wide range of possible applications, only the most important ones are selected here.
Military organizations have special features like following different organizational laws in times of peace and war and their specific embeddedness in society and politics. Especially the latter aspect has made the military an important object of study since the beginnings of modern sociology. In the wake of establishing specific sociological accounts, military sociology has been developed, dedicated to the different facets of the military. This research is based on different theoretical perspectives, but has hardly embraced the frameworks from economics and sociology of conventions (EC/SC) so far. The aim of the chapter is to explore and demonstrate the potentials of this approach. In a first step, the state of the art of military sociology research is outlined, and potential avenues for analyzing military forces based on EC/SC are identified. It is argued that especially the connection to organizational theory (military as organization) and civil-military relations, including leadership and professionalism, offer starting points. After introducing existing studies addressing military-related topics with reference to EC/SC, relevant concepts and approaches of convention theory that prove to be particularly enriching for military research are discussed. An outlook on possible further fields and topics of research is given to concretize how an inclusion of the perspective of EC/SC could look like.
The Internet of Things (IoT) refers to the interconnectedness of physical objects, and works by equipping the latter with sensors and actuators as a means to connect to the internet. The number of connected things has increased threefold over the past five years. Consequently, firms expect the IoT to become a source of new business models driven by technology. However, only a few early adopters have started to install and use IoT appliances on a frequent basis. So it is still unclear which factors drive technological acceptance of IoT appliances. Confronting this gap in current research, the present paper explores how IoT appliances are conceptually defined, which factors drive technological acceptance of IoT appliances, and how firms can use results in order to improve value propositions in corresponding business models. lt is discovered that IoT appliance vendors need to support a broad focus as the potential buyers expose a large variety. As conclusions from this insight, the paper illustrates some flexible marketing strategies.
Business process management and IT supported processes are an actual topic. The procedure of finding a business process system that implements your processes the best way is not easy and takes a lot of time. In this article you will find a recommendation for an open source system. Four selected open source workflow management systems are tested and analyzed. Mean criteria for the evaluation are listed in a criteria catalogue and rated by experts by their importance. Finally, the systems are evaluated by the criteria and the best evaluated system can be recommended.
In a networked world, companies depend on fast and smart decisions, especially when it comes to reacting to external change. With the wealth of data available today, smart decisions can increasingly be based on data analysis and be supported by IT systems that leverage AI. A global pandemic brings external change to an unprecedented level of unpredictability and severity of impact. Resilience therefore becomes an essential factor in most decisions when aiming at making and keeping them smart. In this chapter, we study the characteristics of resilient systems and test them with four use cases in a wide-ranging set of application areas. In all use cases, we highlight how AI can be used for data analysis to make smart decisions and contribute to the resilience of systems.
Converting users into customers : the role of user profile information and customer journey analysis
(2016)
Due to the digital transformation, the importance of web analysis and user profiling for enterprises is increasing rapidly as customers focus on digital channels to obtain information about products and brands. While there exists a lot research on these topics, only a minority of firms use them to their advantage. This study aims to tighten the link between research and business such that experimental methods can be used for the improvement of communication strategies in practice. Therefore, a systematic literature analysis is conducted, workshops are observed and documented and an empirical study is used to integrate single steps into a framework for the
practical usage of user profiling and customer journey analysis.
The purpose of this paper is to give an overview about the links between fashion businesses and film from a fashion business perspective. It focuses on the idea that digitalization brought much more film use for the fashion industry and that this development has just begun and not ended. This change finally also has an intense impact on the fashion industry, as fashion companies nowadays are content producers with films, too. The resulting closer connection with viewers via social media exposes fashion companies, gives on the other hand new influence potential to the fashion system. An in-depth future research about the fashion and film system is therefore required to develop answers for the current situation. This article should be interpreted more as a personal viewpoint of the author to this topic rather than a research paper based on the usual methodological criteria.
Today, digitalization is firmly anchored in society and business. It is also recognized to have significant impact on the retailing sector. The in-store display of moving images has so far, however, gained little attention by researchers. The aim of this research is to provide a first estimation on the current state of moving images distribution in stationary retail stores. A store check was the basis for analysis and evaluation. In sum, 152 stores were analyzed in Stuttgart, Germany. Out of 152 observed stores, 62 stores showed 177 moving images. Detailed analyses about content, mood, color and the actors of motion pictures showed that all aspects are very well harmonized with the target group of the store. The chapter provides a basic estimation of the in-store diffusion of moving images. Thereby, avenues for further research are opened up.
This chapter provides insights in the future of fashion film with respect to augmented reality and virtual reality technologies. The question: How does augmented reality and virtual reality influence the future of fashion film? is therefore considered. It is important to analyze the influence of those technologies on fashion films to assess the potential for fashion retailers and in best case gain first-mover advantages. To answer the stated research question, a literature research was conducted to gain insights about the topic and its influence towards fashion filming. Explanation of augmented reality and virtual reality is provided as well as implications in the retail sector regarding fashion films. Moreover, company examples already using this approach have been compiled. Furthermore, an empirical research part was conducted including a survey method based on an online survey design. The questionnaire is based on what has been revealed in literature to gain in depth insides and approval. The data gained indicated that augmented reality and virtual reality influence the future of fashion film in various ways. The findings highlight how important those technologies can be in order to enhance customer experience and engagement. Regarding the research question, the conclusion can be drawn that it is highly important for fashion managers to take future developments like augmented reality and virtual reality into account to stay competitive and satisfy the requirements of modern consumers.
This chapter discusses German television as a platform for fashion content and, in that context, streaming services as possible alternatives. Three German television channels were surveilled over the period of one month, as well as the two most popular streaming services in Germany and the online media library of one German television channel over six months, regarding length, fashion connection, transmission time and success. Additionally, for three channels fashion advertisement was analyzed. Broadcasting the most contributions with fashion connection in one month, VOX was the channel being the most fashionable. Aiming to entertain, informative contributions about fashion in television build a minority. Streaming services offer more flexibility, which the user is asking for. All three television stations show fashion brand spots during prime-time. Especially ProSieben and sixx are in close cooperation with several fashion brands. Therefore, fashion advertising seems to be preferably inserted in fashion related series.
Based on new ways of watching series via streaming platforms and a change of buying behavior, advertising needs to focus on new strategies. Branded entertainment gives brands the opportunity to deeper integrate their product placements into television show plots. Through a managerial perspective this increases the advertising effectiveness. The serial ‘Sex and the City’ exemplifies successful branded entertainment and shows how series influence fashion nowadays. The placements are outstanding when it comes to storytelling around the brand or product, setting trends and creating a character connection plus a desire through identification. This chapter shows success factors and chances of placements for the fashion industry.
Hip-hop culture defines itself through four central pillars: DJing, MCing, breakdancing and graffiti, but a fifth one, fashion, may be in the coming. Hip-hop has become the most popular music genre, and the influence it has on society is undebatable. But as hip-hop artists increasingly underpin their music with visual components, like music videos, the question arises if that has an influence on the fashion industry. This chapter clarifies which factors may determine a fashion business impact and discusses differences between mainstream hip-hop artists and the ones that are active in the fashion industry as well. The focus lays on the way and amount fashion is presented in the music videos. 24 music videos were analyzed, thereof 15 popular records from the past three years and nine of artists that are already considered as fashion influential. Additionally, a fashion influence index was created to compare the degree of fashion between the music videos. Numbers of styles, recognized brands, fashion related song verses, fashion related description box mentions and articles about the fashion in the music video were noted. Findings reveal that the number of outfits shown in the video did not have a direct link to the amount of traffic it produces in fashion media. The artists that are considered influential in the fashion industry, name brands in their song lyrics more often and show brand logos more frequent in their music videos than others. Though over the observed years, for the mainstream hip-hop artists, a rise in fashion awareness can be seen through a higher number of styles, recognizable brands and fashion related verses in the lyrics.
An event film is a successful marketing and communication instrument, which can be used from companies along social media. By reaching the target group and potential customers, companies could benefit from increasing brand awareness. It is striking that there is a lack of information about how event films are used in regard to showing fashion. To establish the subject further, the purpose of this paper is to enrich the existing findings and analyze the influence event films have. In an empirical study, the performance of two events and the two related fast fashion retailers H&M and Zara on Instagram and YouTube regarding event and fashion connected films is analyzed. Identified stylistic elements of event fashion are searched and found in their online shops. Since emotions are especially well transferred through event films, there is an indication that they contribute to the shaping of fashion trends.
A case study with four German fashion retail brands was conducted in order to measure the performance of their Omnichannel services. In detail, their Click & Collect service was analyzed. Click & Collect is one of the first introduced Omnichannel services in fashion retailing. Omnichannel services integrate different sales and communication channels providing a seamless customer journey experience. Offline, online, and mobile app customer experiences should provide a seamless customer experience. Omnichannel performance of the four retailers Decathlon, Hunkemöller, Massimo Dutti and Galeria Kaufhof was measured via mystery shopping. A seamless customer journey experience is not yet a standard in German fashion retailing. The four companies differ in many process details. The biggest market potential and the recommendation for further research emerges in deficits of the offline store Omnichannel customer experience. Here, all four case companies have room to improve. Best overall results regarding the integration of offline, online and mobile shops were found with Hunkemöller, followed by Decathlon, Massimo Dutti, and Galeria Kaufhof.
The purpose of this paper is to determine the relevance of social media for luxury brand management. It employs both a multi-methodological approach: After analyzing the online performance of the three luxury brands Burberry, Louis Vuitton and Gucci, the empirical research includes a survey as well as an eye tracking test executed with Tobii Studio. The findings reveal that online and social media have given luxury fashion businesses the opportunity to establish a sustainable interaction with their customers and distinguish themselves from the competition. Still, the online business holds many challenges for luxury companies to overcome. This paper gives instructions as to how social media can be effectively incorporated into a luxury company.
Instagram fashion videos
(2020)
Instagram is one of the most used social media platforms to share photos and videos. Due to this, it can be seen as a helpful opportunity for companies to use the platform as a marketing tool in order to spread information to a wide range of potential customers. Ever since its launch, Instagram is strongly connected to fashion, which makes the platform in particular interesting for fashion brands. According to the screened literature, most brands use Instagram for marketing purposes. It is furthermore a matter of fact, that the utilization of videos plays a decisive role. Following up on this, the question about how brands use videos on Instagram for marketing purposes comes up. Due to this, this chapter aims to investigate the extent to which brands make use of videos on Instagram, what the goals of the videos are and what the most effective videos in terms of user engagement are. More specifically, this chapter includes an empirical study which examines the Instagram profiles of nine selected brands of the categories lifestyle, luxury and fashion and sportswear on the underlying research question. A subsequent evaluation and discussion of the results depicts differences and similarities within the categories and between the categories. All in all, the results of the study show that fashion brands use the possibility of films as a marketing tool on Instagram. The content and types of films thereby heavily depend on the brand category.
The purpose of this paper is to investigate how motion pictures are currently used for the product presentation of fashion articles. An explorative approach was chosen for the literature section. This study shows that the use of moving images for the presentation of fashion articles in online shops is possible in numerous different ways. In order to be able to use product presentation videos meaningfully, one should consider exactly what is the purpose of these videos. Different goals require different means. However, retailers should obtain enough information in advance to assess whether they can afford the production and post-processing of these videos.
The purpose of this paper is to investigate how motion pictures are currently used for the product presentation of fashion articles in online shops in the German, American and British markets. This study shows that the use of moving images for the presentation of fashion articles in online shops is underutilized. With the amount of data that was manageable within the scope of this chapter, no valid generalizations can be made. All described results must be understood as an indication. In order to be able to use product presentation videos meaningfully, one should consider before exactly what is the purpose of these videos. Different goals require different means. However, retailer should obtain enough information in advance to assess whether they can afford the production and post processing of these videos.
This chapter looks at the usage of image films produced by brands and their dealing with themselves. It focuses on analyzing important film parameters, the content and the way it can influence brand image. A list of 70 fashion brands from different categories was gathered through a survey and confirmed by comparing the results with relevant literature. All 70 brands were looked at to find relevant self-referencing films. The films had to be produced by the brand themselves. Videos for advertisement or promoting collections are not regarded either. In total 22 films from 17 brands were analyzed. Results show that most brands seem to have recognized videos as a powerful marketing tool in the social media age. Many brands seem to struggle with the compliance of certain parameters such as length and the use of the brand logo. In general, the content of the videos is focused around the four topics recruitment, value, history and behind the brand. As for the intent, the videos can be classified into the three categories learning, emotion and doing something. This paper not only analyzes this special film category, but also gives recommendations to improve the videos.
The connection of fashion and film seems symbiotic at first sight and they influence each other. There exist differences, including a different understanding of clothing by costume designers and fashion businesses. This article focuses on two successful movies „The Hunger Games“ and „The Great Gatsby“ in order to explore the role of film in fashion and vice versa. The findings suggest, that there are various collections in the fashion world, based on both movies. Therefore, movies indeed have an influence on the development of seasonal fashion. However, this connection is not natural, but rather artificially created by both industries. Through nowadays organized co-operation, the lines between costume designers and fashion designers get blurred. Furthermore, today fashion doesn’t trickle down to an audience naturally, but promoted using the film and its broad reach.
Fashion show films
(2020)
Due to technological developments, fashion show films provide fashion brands the opportunity to communicate their brand concepts, to attract attention and to gain more brand awareness by publishing them in the Internet. The purpose of this research paper is to investigate how fashion brands communicate their brand concept and personality through fashion show films. For this purpose, ten fashion show films of brands from the categories luxury, premium, high-street and active wear are investigated. The results indicate that the investigated brands use different ways to attract attention and to communicate their brand concept and personality. The design of the setting, the presentation of the collection as well as the visualization of the brand concept through the brand name, logo, colors or symbols and camera work play an important role to create an effective and exciting fashion show film in order to communicate the brand concept and to promote their brand image. Mostly luxury and premium brands use fashion show films for branding. For high-street and active wear brands the analysis indicates less importance of fashion show films. The limitations of this research are related to the fact that the restricted number of ten fashion show films is analyzed. This gives an overview but cannot provide a comprehensive breakdown of this topic.
YouTube fashion videos
(2020)
YouTube is the most widely adopted and successful video sharing platform. It works as a marketing instrument and money-making tool for companies while reaching the target group. After considering the significant literature based on YouTube, it is striking that there is lack of information about YouTube’s benefits as a video marketing instrument for fashion brands. To establish this subject further, the purpose of this study is to enrich the existing findings on social video marketing on YouTube in the apparel industry. The findings indicate the importance of YouTube as a social network for fashion marketers. The second part conducts an empirical study, which makes the YouTube channel performance of nine fashion brands the subject of discussion. Thereby, three brands per lifestyle, sports and luxury sector are analyzed through comparative aspects. Accordingly, the differences and similarities within and between the sectors are analyzed and evaluated.
A configuration-management-database driven approach for fabric-process specification and automation
(2014)
In this paper we describe an approach that integrates a Configuration- Management-Database into fabric-process specification and automation in order to consider different conditions regarding to cloud-services. By implementing our approach, the complexity of fabric processes gets reduced. We developed a prototype by using formal prototyping principles as research methods and integrated the Configuration-Management-Database Command into the Workflow- Management-System Activiti. We used this prototype to evaluate our approach. We implemented three different fabric-processes and show that by using our approach the complexity of these three fabric-processes gets reduced.
Silicon neurons represent different levels of biological details and accuracies as a trade-off between complexity and power consumption. With respect to this trade-off and high similarity to neuron behaviour models, relaxation-type oscillator circuits often yield a good compromise to emulate neurons. In this chapter, two exemplified relaxation-type silicon neurons are presented that emulate neural behaviour with energy consumption under the scale of nJ/spike. The first proposed fully CMOS relaxation SiN is based on mathematical Izhikevich model and can mimic a broad range of physiologically observable spike patterns. The results of kinds of biologically plausible output patterns and coupling process of two SiNs are presented in 0.35 μm CMOS technology. The second type is a novel ultra-low-frequency hybrid CMOS-memristive SiN based on relaxation oscillators and analog memristive devices. The hybrid SiN directly emulates neuron behaviour in the range of physiological spiking frequencies (less than 100 Hz). The relaxation oscillator is implemented and fabricated in 0.13 μm CMOS technology. An autonomous neuronal synchronization process is demonstrated with two relaxation oscillators coupled by an analog memristive device in the measurement to emulate the synchronous behaviour between spiking neurons.
Stress is becoming an important topic in modern life. The influence of stress results in a higher rate of health disorders such as burnout, heart problems, obesity, asthma, diabetes, depressions and many others. Furthermore individual’s behavior and capabilities could be directly affected leading to altered cognition, inappropriate decision making and problem solving skills. In a dynamic and unpredictable environment, such as automotive, this can result in a higher risk for accidents. Different papers faced the estimation as well as prediction of drivers’ stress level during driving. Another important question is not only the stress level of the driver himself, but also the influence on and of a group of other drivers in the near area. This paper proposes a system, which determines a group of drivers in a near area as clusters and it derives the individual stress level. This information will be analyzed to generate a stress map, which represents a graphical view about road section with a higher stress influence. Aggregated data can be used to generate navigation routes with a lower stress influence to decrease stress influenced driving as well as improve road safety.
The blockchain technology represents a decentralised database that stores information securely in immutable data blocks. Regarding supply chain management, these characteristics offer potentials in increasing supply chain transparency, visibility, automation, and efficiency. In this context, first token-based mapping approaches exist to transfer certain manufacturing processes to the blockchain, such as the creation or assembly of parts as well as their transfer of ownership. This paper proposes a prototypical blockchain application that adopts an authority concept and a concept of smart non-fungible tokens. The application enables the mapping of complex products in dynamic supply chains that require the auditability of changeable assembling processes on the blockchain. Finally, the paper demonstrates the practical feasibility of the proposed application based on a prototypical implementation created on the Ethereum blockchain.
Accurate monitoring of a patient's heart rate is a key element in the medical observation and health monitoring. In particular, its importance extends to the identification of sleep-related disorders. Various methods have been established that involve sensor-based recording of physiological signals followed by automated examination and analysis. This study attempts to evaluate the efficacy of a non-invasive HR monitoring framework based on an accelerometer sensor specifically during sleep. To achieve this goal, the motion induced by thoracic movements during cardiac contractions is captured by a device installed under the mattress. Signal filtering techniques and heart rate estimation using the symlets6 wavelet are part of the implemented computational framework described in this article. Subsequent analysis indicates the potential applicability of this system in the prognostic domain, with an average error margin of approximately 3 beats per minute. The results obtained represent a promising advancement in non-invasive heart rate monitoring during sleep, with potential implications for improved diagnosis and management of cardiovascular and sleep-related disorders.
Reality mining refers to an application of data mining, using sensor data to drive behavioral patterns in the real world. However, research in this field started a decade ago when technology was far behind today's state of the art. This paper discusses which requirements are now posed to applications in the context of reality mining. A survey has shown which sensors are available in state-of-the-art smartphones and usable to gather data for reality mining. As another contribution of this paper, a reality mining application architecture is proposed to facilitate the implementation of such applications. A proof of concept verifies the assumptions made on reality mining and the presented architecture.
The acquisition of data for reality mining applications is a critical factor, since many mobile devices, e.g. smartphones, must be capable of capturing the required data. Otherwise, only a small target group would be able to use the reality mining application. In the course of a survey, we have identified smartphone features which might be relevant for various reality mining applications. The survey classifies these features and shows how the support of each feature has changed over the years by analyzing 143 smartphones released between 2004 and 2015. All analyzed devices can be ranked by their number of provided features. Furthermore, this paper deals with quality issues which have occurred during carrying out the survey.
Broad acceptance of finite-element-based analysis of structural problems and the increased availability of CAD-systems for structural tasks, which help to generate meshes of non-trivial geometries, have been setting a standard for the evaluation of designs in mechanical engineering in the last few decades. The development of automated or semi-automated optimizers, integrated into the Computer-Aided Engineering (CAE)-packages or working as outer loop machines, requiring the solver to do the analysis of the specific designs, has been accepted by most advanced users of the simulation community as well. The availability and inexpensive processing power of computers is increasing without any limitations foreseen in the coming years. There is little doubt that virtual product development will continue using the tools that have proved to be so successful and so easy to handle.
Virtual prototyping of integrated mixed-signal smart sensor systems requires high-performance co-simulation of analog frontend circuitry with complex digital controller hardware and embedded real-time software. We use SystemC/TLM 2.0 in conjunction with a cycle-count accurate temporal decoupling approach (TD) to simulate digital components and firmware code execution at high speed while preserving clock-cycle accuracy and, thus, real-time behavior at time quantum boundaries. Optimal time quanta ensuring real-time capability can be calculated and set automatically during simulation if the simulation engine has access to exact timing information about upcoming inter-process communication events. These methods fail in the case of non-deterministic, asynchronous events, resulting in potentially invalid simulation results. In this paper, we propose an extension to the case of asynchronous events generated by blackbox sources from which a priori event timing information is not available, such as coupled analog simulators or hardware in the loop. Additional event processing latency or rollback effort caused by temporal decoupling is minimized by calculating optimal time quanta dynamically in a SystemC model using a linear prediction scheme. We analyze the theoretical performance of the presented predictive temporal decoupling approach (PTD) by deriving a cost model that expresses the expected simulation effort in terms of key parameters such as time quantum size and CPU time per simulation cycle. For an exemplary smart-sensor system model, we show that quasi-periodic events that trigger activities in TD processes are handled accurately after the predictor has settled.
Quality-oriented selection of university partnerships : ESB Business School’s selection matrix
(2015)
The article studies a novel approach of inflation modeling in economics. We utilize a stochastic differential equation (SDE) of the form dXt=aXtdt+bXtdBtH, where dBtH is a fractional Brownian motion in order to model inflationary dynamics. Standard economic models do not capture the stochastic nature of inflation in the Eurozone. Thus, we develop a new stochastic approach and take into consideration fractional Brownian motions as well as Lévy processes. The benefits of those stochastic processes are the modeling of interdependence and jumps, which is equally confirmed by empirical inflation data. The article defines and introduces the rules for stochastic and fractional processes and elucidates the stochastic simulation output.
Clinical development is historically the phase in which a potential new medicine is being tested in phase 2 and phase 3 patient trials to demonstrate the new molecules' efficacy and safety to support the regulatory approval of drugs by health authorities. This relatively focused approach has been considerably expanded by a number of forces from within the pharmaceutical industry and equally important by changes in the healthcare systems. The need to identify the optimal patient population, showstoppers leading to discontinuation of clinical programs, the silent but constant removal of surrogate endpoints for registration, and the increased demand for real-life data which are used to demonstrate the patients' benefit and which have an ever-increasing role for pricing and reimbursement negotiations are today an integral part of this phase.
This chapter will review both the nuts and bolts of clinical development but also recent developments in this area which shape the environment and how the different players have reacted and what options might need to be explored in the future.
This paper summarises the experiences with sustainability reporting in a very wide meaning at Universities of Applied Sciences (UoAS). It focuses on the communication of sustainability aspects and activities of universities. It provides a recommendation, a model for communicating the sustainability activities of universities and emphasises the values of this appraoch. This paper aims to find the most effective ways to convey education for sustainable development to a broad public and initiate communication about sustainability aspects with society.
The paper is based on action research done at two universities about the ways in which academic institutions can communicate with their stakeholders in order to report about their own role as a responsible university and also to make an impact on the sustainable development on a local and global scale.
Research is focussed on experiences at Universitites of Applied Sciences with their strong focus on applied research, education and transfer. However, these results can be helpful for each academic institution that wants to make a positive impact on society. The concept which we present focusses on the possible impact which universities can generate.
Seen as the contribution to the research field of sustainabitliy reporting the paper points out that a continuous qualitative reporting process with a focus on education for SD is an adequate and efficient approach to sustainability reporting for universities and an effective way to reach a broad public.
We show that there are several efficient methodss of communication ranging from the traditional sustainability report to publications which address the public and to more innovative methods using the web 2.0. We show and argue that for universities, alternative ways of sustainability communication may be more effective to achieve the sustainability mission.
The concept which we present gives the universities a broader impact on society and helps them to support sustainable development in an efficient way.
After the initiator of the ESB Logistics Learning Factory, Prof. Vera Hummel had made experience in developing and implementing a concept for a Learning Factory for Advanced Industrial Engineering (aIE) at the University of Stuttgart, Institute IFF between 2005 and 2008, she was appointed as a full professor at ESB Business School, a faculty of Reutlingen University in March 2010. Lacking a realistic, hands on learning and teaching environment of industrial scale for its industrial engineering students, first ideas for a Learning Factory that would strongly focus on all aspects of production logistics were drafted in 2012. Already back then, a strong integration of virtual and physical factory was desired: While the Learning Factory itself would be physical, the neighboring partners along the supply chain, such as suppliers or distribution warehouses, could be added in a fully virtual way. Considering implementation of the ESB Logistics Learning Factory a strategic initiative of the university, initial funding was provided by the faculty ESB Business School itself. Following its own creed, to provide future-oriented training for the region, also primarily local suppliers and manufacturers were selected as equipment providers to the new Learning Factory. During the initialization phase, 2014, a total of three researchers and nine students worked approximately four months to set up a first assembly line, storage racks, AGVs, or pick-by-light systems in conjunction with the underlying didactical concept. Since then, several hundred of students have participated in trainings and lectures held in the ESB Logistics Learning Factory, several research projects were carried out, and multiple high-level politicians and industry executives have been touring the shop floor. Also, more than EUR 2 million in research and infrastructure funds could be secured for expansion and upgrade — allowing the ESB Logistics Learning Factory today to represent many core aspects of an Industrie 4.0 production environment.
Processing
(2014)
In this chapter, some relevant aspects and illustrative examples of online monitoring tools as the basis for process control in the manufacturing and processing of thermosetting resins are briefly discussed. In principle, any chemical or physical information made accessible by sensors can be used for online monitoring of resin formation, resin location in the mold, and resin cure. For instance, changes in the flow properties of the reaction mixture are often routinely recorded in dependence of the reaction time during resin synthesis as a measure for the degree of conversion of raw materials into macromolecules or oligomers by applying rheometry in an in-process environment. Typically, a small sample of the reaction mixture is by-passed, subjected to rheological measurement, and re-introduced into the bulk reactor. In a similar way, pH measurements, turbidimetric measurements, or other analyses are performed. Although rheometry may not always be suitable for following resin cure (especially in cases where there is a very rapid increase in viscosity after initiation of the cure), [1] naturally, the method can in principle also be used in the subsequent processing of the thermosets, for instance in the curing of wood glue applied to wood specimen [2]. Similarly, pH changes during thermoset curing can be followed. Hence, an encyclopedic and comprehensive approach to present process control methods would systematically proceed according to the involved physical measurement principle. However, since only a very Brief sketch of means for monitoring thermoset processing can be given here, only a small, personally biased selection of important methods and application examples is addressed in the following sections. These examples hopefully illustrate some of the general strategies and solutions to problems that are typically encountered when processing thermosets.
Cyanate esters
(2014)
Cyanate ester resins are an important class of thermosetting compounds that have experienced an ever-increasing interest as matrix systems for advanced polymer composite materials, which among other applications, are especially suitable for highly demanding functions in the aerospace or microelectronics industries. Other names for cyanate ester resins are cyanate resins, cyanic esters, or triazine resins. The various types of cyanate ester monomers share the aOCN functional group that trimerizes in the course of resin formation to yield a highly branched heterocyclic polymeric network based on the substituted triazine core structure. The basic reaction sequence leading to the typical cyanate ester polymer molecule is depicted in Figure 11.1. The curing reaction may take place with or without catalyst.
Cyanate ester resins
(2022)
Cyanate ester resins are an important class of thermosetting compounds that experience an ever-increasing interest as matrix systems for advanced polymer composite materials, which among other application fields are especially suitable for highly demanding applications in the aerospace or microelectronics industries. Other names for cyanate ester resins are cyanate resins, cyanic esters, or triazine resins. The various types of cyanate ester monomers share the –OCN functional group that trimerizes in the course of resin formation to yield a highly branched heterocyclic polymeric network based on the substituted triazine core structure.
Process analysis and process control have attracted increasing interest in recent years. The development and application of process analytical methods are a prerequisite for the knowledge-based manufacturing of industrial goods and allow for the production of high-value products of defined, constantly good quality. Discussed in this chapter are the measurement principle and some relevant aspects and illustrative examples of online monitoring tools as the basis for process control in the manufacturing and processing of thermosetting resins. Optical spectroscopy is featured as one of the main process analytical methods applicable to, among other applications, online monitoring of resin synthesis. In combination with chemometric methods for multivariate data analysis, powerful process models can be generated within the framework of feedback and feed-forward control concepts. Other analytical methods covered in this chapter are those frequently used to control further processing of thermosets to the final parts, including dielectric analysis, ultrasonics, fiber optics, and Fiber Bragg Grating sensors.
Unsaturated polyester resins (UPR) and vinyl ester resins (VER) are among the most commercially important thermosetting matrix materials for composites. Although comparatively low cost, their technological performance is suitable for a wide range of applications, such as fiber-reinforced plastics, artificial marble or onyx, polymer concrete, or gel coats. The main areas of UPR consumption include the wind energy, marine, pipe and tank, transportation, and construction industries. This chapter discusses basic UPR and VER chemistry and technology of manufacturing, and consequent applications. Some important properties and performance characteristics are discussed, such as shrinkage behavior, flame retardance, and property modification by nanoparticles. Also briefly introduced and described are the practical aspects of UPR and VER processing, with special emphasis on the most widely used technological approaches, such as hand and spray layup, resin infusion, resin transfer molding, sheet and bulk molding, pultrusion, winding, and centrifugal casting.
Unsaturated polyester resins (UPR) and vinyl ester resins (VER) are among the most commercially important thermosetting matrix materials for composites. Although comparatively low cost, their technological performance is suitable for a wide range of applications, such as fiber-reinforced plastics, artificial marble or onyx, polymer concrete, or gel coats. The main areas of UPR consumption include the wind energy, marine, pipe and tank, transportation, and construction industries.
This chapter discusses basic UPR and VER chemistry and technology of manufacturing, and consequent applications. Some important properties and performance characteristics are discussed, such as shrinkage behavior, flame retardance, and property modification by nanoparticles. Also briefly introduced and described are the practical aspects of UPR and VER processing, with special emphasis on the most widely used technological approaches, such as hand and spray layup, resin infusion, resin transfer molding, sheet and bulk molding, pultrusion, winding, and centrifugal casting.
Many organizations identified the opportunities of big data analytics to support the business with problem-specific insights through the exploitation of generated data. Socio-technical solutions are developed in big data projects to reach competitive advantage. Although these projects are aligned to specific business needs, common architectural challenges are not addressed in a comprehensive manner. Enterprise architecture management is a holistic approach to tackle the complex business and IT architecture. The transformation of an organization's EA is influenced by big data projects and their data-driven approach on all layers. To enable strategy oriented development of the EA it is essential to synchronize these projects supported by EA management. In
this paper, we conduct a systematic review of big data literature to analyze which requirements for the EA management discipline are proposed. Thereby, a broad overview about existing research is presented to facilitate a more detailed exploration and to foster the evolution o the EA management discipline.
In recent years Indonesia has been confronted with an excessive generation of municipal solid waste (MSW), predominantly present in the form of organic refuse. While moving towards integrated solid waste management (ISWM) is an important strategy used to control its generation, it is also now recognized that economic approaches need to be promoted as well in order to tackle the problem concertedly. In this case study, empirical approaches are developed to understand how market instruments could be introduced into environmental services and how to apply co-benefit approach in a green economy paradigm for Indonesia. We investigate the feasibility of introducing market instruments in Indonesia by appliying local co-benefit initiatives adapted from German experiences in integrating market instruments into MSW management practices. Currently co-benefit activities are undertaken in the Sukunan village (Yogjakarta) to promote waste composting using market incentives in the framework of community-based solid waste management (CBSWM). This scheme aims at reducing MSW generation at its source and mobilizing people to be involved in waste separation (organic and non-organic) at household levels. As a result, about 200,000 t of CO2 emissions could be successfully reduced annually. By integrating market instruments into waste management practices, the result of our studies sugggests that Indonesia could make positive changes to its environmental policy and regulation of MSW at local levels. The country's policymakers have played important roles in promoting the effectiveness of urban development with co-benefits approaches to facilitate its transition towards a green eccnomy.
It has not yet been possible to achieve the desired aim of decoupling economic growth from global material demand. Small and medium sized enterprises (SMEs) represent the backbone of most industrialized economies. Although material efficiency is of vital importance for many SMEs, few of them actually treat it as their top priority. There is a cornucopia of tools and methods available which can be used for material efficiency purposes. These, however, have gained little ground in the SME-field. This work deals with the enabling factors for material efficiency improvements in manufacturing SMEs and projections towards aspects of supply chain and circular economy. A multi-disciplinary decoupling approach for manufacturing SMEs and an implementation roadmap for further practical development are proposed. The approach combines appropriate complexity of technology and socio-economic considerations. It enables a connection of existing methods and the implementation of established information technologies.
Selecting a suitable development method for a specific project context is one of the most challenging activities in process design. To extend the so far statistical construction of hybrid development methods, we analyze 829 data points to investigate which context factors influence the choice of methods or practices. Using exploratory factor analysis, we derive five base clusters consisting of up to 10 methods. Logistic regression analysis then reveals which context factors have an influence on the integration of methods from these clusters in the development process. Our results indicate that only a few context factors including project/product size and target application domain significantly influence the choice. This summary refers to the paper “Determining Context Factors for Hybrid Development Methods with Trained Models”. This paper was published in the proceedings of the International Conference on Software and System Process in 2020.
Nowadays almost every major company has a monitoring system and produces log data to analyse their systems. To perform analysation on the log data and to extract experience for future decisions it is important to transform and synchronize different time series. For synchronizing multiple time series several methods are provided so that they are leading to a synchronized uniform time series. This is achieved by using discretisation and approximation methodics. Furthermore the discretisation through ticks is demonstrated, as well as the respectivly illustrated results.
Decentralized energy systems are characterized by an ad hoc planing. The missing integration of energy objectives into business strategy creates difficulties resulting in inefficient energy architectures and decisions. Practice-proven methods such as balanced scorecard, enterprise architecture management and value network approach supports the transformation path towards an effective decentralized system. The methods are evaluated based on a case study. Managing multi-dimensionality, high complexity and multiple actors are the main drivers for an effective and efficient energy management system. The underlying basis to gain the positive impacts of these methods on decentralized corporate energy systems is digitization of energy data and processes.