Ehrenthal, Joachim
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Determination of weights for multiobjective combinatorial optimization in incident management with an evolutionary algorithm
Incident management in railway operations includes dealing with complex and multiobjective planning problems with numerous constraints, usually with incomplete information and under time pressure. An incident should be resolved quickly with minor deviations from the original plans and at acceptable costs. The problem formulation usually includes multiple objectives relevant to a railway company and the employees involved in controlling operations. Still, there is little established knowledge and agreement regarding the relative importance of objectives such as expressed by weights. Due to the difficulties in assessing weights in a multiobjective context directly involving decision makers, we elaborate on the autoconfiguration of weighted fitness functions based on nine objectives used in a related Integer Linear Programming (ILP) problem. Our approach proposes an evolutionary algorithm and tests it on real-world railway incident management data. The proposed method outperforms the baseline, where weights are equally distributed. Thus, the algorithm shows the capability to learn weights in future applications based on the priorities of employees solving railway incidents which is not yet possible due to an insufficient availability of real-life data from incident management. https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10339298&tag=1
Echtzeit Ressourcendisposition von Personal und Rollmaterial in der Eisenbahnbranche
Zu wenig Personal und Rollmaterial, kurzfristig angesagte Arbeiten an der Infrastruktur mit den entsprechenden betrieblichen Behinderungen und Einschränkungen sowie kurzfristig auftretende Störungen prägen zurzeit die Berichterstattung über die Entwicklungen im öffentlichen Verkehr der Schweiz. Es ist absehbar, dass sich diese unbefriedigende Situation über eine längere Zeitspanne kaum massgeblich verbessern wird. Umso wichtiger ist es, vorhandene Ressourcen optimal einzusetzen und den zukünftigen Bedarf an Mitarbeitenden und Rollmaterial in den Griff zu kriegen. Die Fachhochschulen der Ostschweiz (OST) und der Nordwestschweiz FHNW entwickelten mit der Südostbahn (SOB), den luxemburgischen Eisenbahnen (CFL) und der Eisenbahn-Softwareherstellerin Qnamic eine zukunftsweisende Software zur Unterstützung der Eisenbahn-Disposition, um in Echtzeit über situationsspezifische Massnahmenpakete zur Störungsbehebung zu verfügen.
Digital transformation of the supply chain: the case of an international chocolate manufacturer
In a rapidly advancing technological world, traditional supply chains must evolve into becoming connected, smart, and digital. With the implementation of a transport management system, the Chocolate Co. automated their supply chain processes. Inevitably, preparing and executing the subsequent move in digital supply chain transformation is necessary.
Recommendations for conducting service-dominant logic based research
While Service-Dominant logic (SDL) has been the basis for research publications in many journals, anecdotal evidence suggests that there is growing resistance to using SDL because some reviewers consider it to be unviable for rigorous research. As a remedy, researchers, editors, and reviewers are in need for clear criteria on what makes good quality SDL research. Our study aims to address this problem, and it examines how SDL has been successfully and unsuccessfully used in research—including methods, processes, and approaches to apply & integrate SDL in research studies—in order to determine a set of quality criteria for researchers and practitioners to better use and benefit from SDL.
Service Dominant-Logic als Forschungsmethode
Im digitalen Zeitalter wetteifern die Unternehmen darum, wie gut ihr Service die Bedürfnisse der Kundschaft erfüllt und Probleme löst. Sie intera- gieren dafür mit immer mehr Akteuren, um ihr Versprechen zu erfüllen. Ein für die Forschung in dieser „neuen“ Welt besonders geeigneter Ansatz ist die Service- Dominant Logic (SDL). Es gibt jedoch keine Leitlinien oder einen allgemein aner- kannten Rahmen für die systematische Durchführung von Forschungsarbeiten zur und mit der SDL. Um diese Lücke zu schließen, wird in diesem Kapitel der Einsatz der SDL in der Forschung untersucht und analysiert. Es gibt Empfehlungen für die Durchführung von SDL in der Forschung und schlägt einen Organisationsrahmen für angewandte Forschungsumgebungen und darüber hinaus vor.
Implementing configure, price, quote in the supply chain: the case of Essemtec AG
Essemtec AG develops, manufactures, and sells machinery and equipment to the electronics industry. This teaching case presents Essemtec AG’s experience with implementing a configure, price, quote (CPQ) system in its supply chain from the perspective of Tim, the Product Manager, who led the implementation project. This case helps students understand the value and organizational impact of a CPQ system on companies like Essemtec AG.
Quantum computing in supply chain management state of the art and research directions
Quantum computing is the most promising computational advance of the coming decade for solving the most challenging problems in supply chain management and logistics. This paper reviews the state-of-the-art of quantum computing and provides directions for future research. First, general concepts relevant to quantum computers and quantum computing are introduced. Second, the dominating quantum technologies are presented. Third, the quantum industry is analyzed, and recent applications in different fields of supply chain management and logistics are illustrated. Fourth, directions for future research are given. We hope this review to educate and inspire the use of quantum computing in the fields of optimization, artificial intelligence, and machine learning for supply chain and logistics.
Innovating the digital product development toolchain with digital twins at Helbling Technik AG
This teaching case examines how engineering consultants Helbling Technik AG overcame challenges in implementing a digital twin approach to mechatronics product development, saving costs, and reducing time to market. It challenges students to understand digital twins in mechatronic system development and their implications for processes, use cases, and service models. This real-world example is relevant for students and educators interested in the challenges and opportunities of digital twin implementation.
Digitalizing the supply chain of clinical trials
Clinical trials investigate the effectiveness and safety of new medications and treatments before market introduction. Data quality and speed are keys to clinical trials success, together with the overall time to bring innovative medicines to patients in need. Cutting edge trials programs rely on data from participant devices to track and monitor health. The supply chain of these devices, and leveraging supply chain data to improve it, have become critical to clinical trials success. This case presents how a small Business Unit specialized improved their device supply chain by digitizing supply chain processes and leveraging supply chain data. Set in the Swiss pharmaceuticals industry, case provides rich insights on data collection and exchange in clinical trials supply chains.
Recommendations for conducting service-dominant logic research
In the digital age, companies compete on how well their service meets customer needs and solves customer problems, interacting with ever more actors to fulfill their promise. A well-suited mid-range theory to conduct research in this “new” world is service-dominant (S-D) logic. However, there are no guidelines or a commonly agreed framework for systematically conducting S-D logic research. To fill this gap, this chapter reviews and analyzes the use of S-D logic in research. It provides recommendations for conducting S-D logic in research and proposes an organizing framework for applied research settings and beyond.