Successful Collaboration in Global Production Networks - fair, secured, connected

In today\u27s world, manufacturing companies face many challenges due to the uncertainty and complexity of environmental influences as well as increasing competitive pressures. The pandemic has clearly illustrated how volatile and fragile our supply chains have become. One way to overcome these chal-lenges together is to collaborate with other companies in the value network. Collaborations, i.e. successful cooperation with strategic partners and customers to achieve common goals, will continue to gain in importance. Instead of individual companies, entire value chains and networks will therefore compete with each other in the future. This will require a shift toward fast and seamless data exchange between the players in the value network. Advancing digitization and thus a generally increasingly networked world are increasingly supporting such collaborations, as the sharing and collaborative use of data is becom-ing much simpler. At the same time, the right handling of data will be decisive for competition. Digitization is moving from being a driver of change to an enabler of change. Innovative business models and the exploita-tion of the potential hidden in data will make it possible to realize reliable, flexible and, at the same time, resource-conserving value creation. The number of existing cloud-based collaboration platforms is growing steadily. Small and medium-sized enterprises in particular have to serve many different customer platforms at the same time, while they them-selves are still struggling with internal digitization challenges. Standardization initiatives for secure data rooms in the industry, such as GAIA-X, therefore hold great potential. In addition to these fundamental infrastructural issues, there are further challenges with regard to collaboration projects. Particular importance is attached to the competent handling of data protection and data security. There are often reservations that the disclosure of data and information will result in the loss of hard-earned expertise and com-petitive advantages that have been built up over time. At the same time, however, users from an engineering environment are only able to assess the risks of digital collaboration to a limited extent. In order to secure one\u27s own competitive position in the long term, digital competencies must therefore be built up and barriers to collaboration overcome. Success stories and clear recommendations for action can provide an important impetus for the implementation of successful collaboration projects, showing how collaborations can be approached in practice and what added value they generate. That is why we would like to provide manufacturing compa-nies with such guidance in the form of this action guide. The collaboration projects explained below and the best practices derived from them are intended to help companies find their own strategies on the path to more collaboration. We hope you enjoy reading this guide and are always available for questions and discussions

5th International Conference on Advanced Research Methods and Analytics (CARMA 2023)

Research methods in economics and social sciences are evolving with the increasing availability of Internet and Big Data sources of information. As these sources, methods, and applications become more interdisciplinary, the 5th International Conference on Advanced Research Methods and Analytics (CARMA) is a forum for researchers and practitioners to exchange ideas and advances on how emerging research methods and sources are applied to different fields of social sciences as well as to discuss current and future challenges.Martínez Torres, MDR.; Toral Marín, S. (2023). 5th International Conference on Advanced Research Methods and Analytics (CARMA 2023). Editorial Universitat Politècnica de València. https://doi.org/10.4995/CARMA2023.2023.1700

Impact of IIoT and Lean bundles configurations on proactive work behaviors

This thesis investigates the impact of IIoT and Lean bundles configurations on team proactivity, that is calculated as a mean of individual proactivity values. It is divided in four chapters: in the first chapter an introduction to Industry 4.0 and a description of its main technologies is performed, the second chapter is characterized by a literature review on the integration between Industry 4.0 an Lean Production, the third chapter consists on a description of the Qualitative Comparative Analysis approach and the last chapter discusses the results of the analysis

Practical, appropriate, empirically-validated guidelines for designing educational games

There has recently been a great deal of interest in the potential of computer games to function as innovative educational tools. However, there is very little evidence of games fulfilling that potential. Indeed, the process of merging the disparate goals of education and games design appears problematic, and there are currently no practical guidelines for how to do so in a coherent manner. In this paper, we describe the successful, empirically validated teaching methods developed by behavioural psychologists and point out how they are uniquely suited to take advantage of the benefits that games offer to education. We conclude by proposing some practical steps for designing educational games, based on the techniques of Applied Behaviour Analysis. It is intended that this paper can both focus educational games designers on the features of games that are genuinely useful for education, and also introduce a successful form of teaching that this audience may not yet be familiar with

Introduction to Supply Chain and Operations Management – A Real World Perspective

This project was funded by KU Libraries’ Parent’s Campaign with support from the David Shulenburger Office of Scholarly Communication & Copyright and the Open Educational Resources Working Group in the University of Kansas Libraries.This textbook looks at operations management and supply chain management from a real world perspective. The foundations of operations and supply chain are presented in a format that builds upon the theories found in most operations management texts but looks at the applications of the principles through the lens of experience and practice using examples from over 40 years as a practitioner, strategic planner and consultant. The goal of the textbook is to supplement lectures and discussions about operations and supply chain management while linking the topics to other disciplines within a business environment. The topics are grouped based on the Supply Chain Council’s Supply Chain Operations Reference Model core functions.University of Kansas Librarie

Decision-Theoretic Planning for User-Adaptive Systems: Dealing With Multiple Goals and Resource Limitations

While there exists a number of user-adaptive systems that use decision-theoretic methods to make individual decisions, decision-theoretic planning has hardly been exploited in the context of useradaptive systems so far. This thesis focuses on the application of decision-theoretic planning in user-adaptive systems and demonstrates how competing goals and resource limitations of the user can be considered in such an approach. The approach is illustrated with examples from the following domains: user-adaptive assistance for operating a technical device, user-adaptive navigation recommendations in an airport scenario, and finally user-adaptive and location-aware shopping assistance. With the shopping assistant, we have analyzed usability issues of a system based on decision-theoretic planning in two user studies. We describe how hard time constraints, as they are induced, for example, by the boarding of the passenger in an airport navigation scenario, can be considered in a decision-theoretic approach. Moreover, we propose a hierarchical decision-theoretic planning approach based on goal priorization, which keeps the complexity of dealing with realistic problems tractable. Furthermore, we specify the general workflow for the development and application of Markov decision processes to be applied in user-adaptive systems, and we describe possibilities to enhance a user-adaptive system based on decision-theoretic planning by an explanation component

Baran: a service-oriented cloud-based user monitoring and data analysis framework

Most humans now live in an age of connected digital devices where their interactions with these devices are recorded in a number of ways, by different organisations, under various levels of user control. A user is often unaware of how much data they create, of where the data resides, and of how their data is used. It is challenging for a user to inspect all this personal data, to control the storage and use of the data, and to exploit the data for their benefit in a safe way. These are the challenges that this thesis addresses. The focus is on the user’s digital trail of information – i.e. the record of user interactions and associated context information from the digital devices associated with the user. The digital devices associated with a user, and with which they interact, might include smartphones, laptops, smart watches, fitness bands, and smart household appliances. The thesis develops a conceptual model and extensible data structure, called the UDI (User Digital Imprint), which accommodates a variety of digital data from digital devices along with information derived from that data. A software framework, Baran, is developed that implements the UDI and provides services that support the gathering, management and analysis of the user data. The Baran framework allows the user to inspect and analyse their data and supports (under user control) the sharing of the data in order that assistive services for the user can be provided by 3rd parties. The framework is cloud-based and service-oriented, enabling the framework to make use of external services (e.g. machine learning services) and to provide services for external entities (e.g. supplying some subset of user data to a smart coffee maker). Thus, Baran can be extended with both user services and external services, where the sharing of user data with external entities is directly under user control on a per-use basis. By gathering, analysing and making available comprehensive information about a user’s digital interactions, Baran also enables study of aspects of User Experience (UX), as might be of interest to UX researchers or product designers. Three case studies are presented to demonstrate aspects of Baran and how it can be used in different scenarios. Rather than a limited-scope, specific solution (such as recent functionality introduced by Google and Apple) Baran provides a general extensible framework that covers a range of user digital interactions on a variety of devices, and enables a wide range of applications, where all data sharing is under explicit user control

Faculty Publications and Creative Works 2005

Faculty Publications & Creative Works is an annual compendium of scholarly and creative activities of University of New Mexico faculty during the noted calendar year. Published by the Office of the Vice President for Research and Economic Development, it serves to illustrate the robust and active intellectual pursuits conducted by the faculty in support of teaching and research at UNM. In 2005, UNM faculty produced over 1,887 works, including 1,887 scholarly papers and articles, 57 books, 127 book chapters, 58 reviews, 68 creative works and 4 patented works. We are proud of the accomplishments of our faculty which are in part reflected in this book, which illustrates the diversity of intellectual pursuits in support of research and education at the University of New Mexico