TY - GEN A1 - Kunath, Martin A1 - Winkler, Herwig T1 - Integrating the Digital Twin of the manufacturing system into a decision support system for improving the order management process T2 - Procedia CIRP N2 - Today´s manufacturing companies need to adapt more than ever to changing customer needs, rising resource costs and increasing uncertainties. A promising way to face these issues is the digitalization of the manufacturing system. Key elements of the digitalization are cyber-physical systems (CPS) and the cyber-physical production system (CPPS). In the last years, the Digital Twin has become a synonym for the cyber-part of CPS and CPPS. In this paper, a conceptual framework and potential applications of a decision support system for the order management process are discussed, that is based on the Digital Twin of the manufacturing system. KW - Digital Twin KW - Order Management Process KW - Industry 4.0 KW - Digitalization KW - Decision Support System Y1 - 2018 U6 - https://doi.org/10.1016/j.procir.2018.03.192 SN - 2212-8271 VL - 72 SP - 225 EP - 231 ER - TY - GEN A1 - Kunath, Martin A1 - Winkler, Herwig T1 - Usability of Information Systems to Support Decision Making in the Order Management Process T2 - Procedia CIRP N2 - In today’s business environment companies are forced to improve transparency as well as accelerate and digitalize all steps of the order management process. Enterprise Resource Planning (ERP) systems and further information systems have become indispensable to implement an efficient order processing. Scientific papers have already summarized the main problems of these systems. For this paper a survey was carried out showing the suitability of information systems with a focus on ERP systems for decision support in the order management process for a given product delivery strategy. The results show that particularly the support in defining solutions needs to be improved. KW - Order Management Process KW - Information Systems KW - Enterprise Ressource Planning KW - Digitalization KW - Survey Y1 - 2019 U6 - https://doi.org/10.1016/j.procir.2019.03.056 VL - 81 SP - 322 EP - 327 ER - TY - GEN A1 - Berneis, Moritz A1 - Winkler, Herwig A1 - Abdelkafi, Nizar T1 - Insights from interviews with German supply chain managers: a study of supply chain transformations and emerging issues T2 - Procedia Computer Science N2 - To investigate current trends and challenges related to supply chain management in Germany, we conduct an interview-based study involving 16 experts. The study focuses on three areas: supply chain transformations, software challenges, and the adoption of emerging technologies. Supply chain transformations are influenced by increasing supply chain complexity, the growing prevalence of e-commerce, and the increased importance allocated by customers to trust and transparency. Complexity is, in part, due to disruptions caused by policy responses to the pandemic and to software challenges in terms of the adaptability of ERP systems and the cybersecurity of cloud-based solutions. This study is relevant for practitioners, as it sheds light on pressing issues in supply chain management, and for researchers as it uncovers potential topics that require further research in the future. KW - Supply Chain Management (SCM) Interviews KW - Emerging Technologies KW - German Companies KW - Digitalization KW - Trends KW - Interviews Y1 - 2024 UR - https://authors.elsevier.com/sd/article/S1877-0509(24)00106-6 U6 - https://doi.org/10.1016/j.procs.2024.01.106 SN - 1877-0509 VL - Vol. 232 SP - 1079 EP - 1088 ER - TY - GEN A1 - Abdulghani, Tamer A1 - Winkler, Herwig T1 - Unlocking the power of digital technology for fostering sustainability T2 - IEEE Student Conference on Research and Development N2 - In the pursuit of economic, social and environmental sustainability, digital technologies have the potential to become powerful tools that provide innovative solutions for the reduction of greenhouse gas emissions and the mitigation of the effects of climate change. Therefore, it is essential to understand how digital technologies can drive or inhibit the sustainability endeavors of firms. For this purpose, we systematically analyze the literature published during the last five years to feature how digitalization could contribute to the achievement of a more sustainable future. The study provides key findings on the potential applications of digital technologies in promoting and contributing to sustainability and presents a roadmap for adopting digital technologies. It also highlights the challenges and barriers faced by different industries in realizing the full potential of these technologies as drivers of sustainable development as well as identifies future directions. KW - Sustainability KW - Digitalization KW - Digital Technology KW - Industry 4.0 KW - A Systematic Literature Review Y1 - 2024 UR - https://ieeexplore.ieee.org/document/10563721 SN - 979-8-3503-1882-1 U6 - https://doi.org/https://doi.org/10.1109/SCOReD60679.2023.10563721 SP - 57 EP - 64 ER - TY - GEN A1 - Abdulghani, Tamer A1 - Winkler, Herwig T1 - Managing the decarbonization of coal-based energy value chain: empirical findings from Lusatia, Germany T2 - IEEE Student Conference on Research and Development N2 - Decarbonization is causing structural changes that exert pressure not only on the companies and their employees in the lignite industry, but also on other companies along the value chain across multiple sectors. As a result, companies have an urgent need for change. They are challenged to take action to build a sustainable new existence as the markets collapse. For this purpose, we investigate the structural changes due to decarbonization and what factors can be part of a successful business transformation to manage the decarbonization of the coal-based energy value chain. This paper presents empirical insights from several semi-structured interviews with the key actors i.e., energy companies, service providers, logistics companies, suppliers, etc. in the Lusatia mining region as well as a conceptual model for a successful business transformation in the region. We used the Gioia method to analyze the interview data in order to obtain a meaningful data structure. This resulted in a conceptual model that shows how success factors have to be combined to manage the decarbonization measures within a region. KW - Decarbonization KW - Coal Phase-out KW - Energy Value Chain KW - Structural Change KW - Case Study KW - Digitalization Y1 - 2024 UR - https://ieeexplore.ieee.org/document/10563936 U6 - https://doi.org/https://doi.org/10.1109/SCOReD60679.2023.10563936 SP - 307 EP - 315 ER -