TY - CHAP A1 - Feldmann, Carsten A1 - Pumpe, Andreas T1 - A holistic decision framework for 3D printing investments in global supply chains T2 - Transportation Research Procedia (TRPRO) - World Conference on Transport Research (WCTR) 2016 Shanghai Y1 - 2016 U6 - http://dx.doi.org/10.1016/j.trpro.2017.05.451 SP - 677 EP - 694 ER - TY - CHAP A1 - Feldmann, Carsten A1 - Pumpe, Andreas T1 - Investments in 3D printing: Decision support from a financial supply chain perspective with focus on inbound and outbound logistics. 25th Annual International Purchasing and Supply Education and Research Association (IPSERA) Conference: "Purchasing & Supply Management - from efficiency to effectiveness in an integrated Supply Chain Management" T2 - IPSERA Proceedings Y1 - 2016 CY - Dortmund ER - TY - CHAP A1 - Feldmann, Carsten A1 - Pumpe, Andreas A1 - Vallée, Franz T1 - Production Relocation in the Context of International Logistics T2 - Thomas Baaken; Janusz Teczke (Hrsg.): Managing Disruption and Destabilisation Y1 - 2014 SN - 978-3-938137-49-9 SP - 221 EP - 234 CY - Cracow, Muenster ET - 1 ER - TY - CHAP A1 - Lückmann, Patrick A1 - Feldmann, Carsten T1 - Success Factors for Business Process Improvement Projects in Small and Medium Sized Enterprises – Empirical Evidence T2 - Procedia Computer Science 121, ProjMAN - International Conference on Project Management Y1 - 2017 SP - 439 EP - 445 ER - TY - CHAP A1 - Dircksen, Michael A1 - Feldmann, Carsten T1 - Holistic evaluation of the impacts of additive manufacturing on sustainability, distribution costs, and time in global supply chains T2 - Transportation Research Procedia (TRPRO) - World Conference on Transport Research (WCTR) 2019 Mumbai Y1 - 2019 ER - TY - CHAP A1 - Feldmann, Carsten A1 - Ziegenbein, Ralf T1 - Digital Lean – The Crossroads Model for Controlling Material Flows in Production and Logistics Systems T2 - 8th International Conference on Production Engineering and Management (PEM) Proceedings Y1 - 2018 SN - 978-3-946856-03-0 SP - 115 EP - 126 ER - TY - CHAP A1 - Feldmann, Carsten A1 - Delke, Vincent A1 - Wasserman, Michael E. T1 - Strategically Aligning Additive Manufacturing Supply Chains for Sustainability and Effectiveness T2 - International Federation of Automatic Control (IFAC): Intelligent Manufacturing Systems (IMS 2019) Proceedings N2 - This paper builds on a previously developed framework that integrated additive manufacturing, life-cycle analysis, and value creation (Feldmann & Kirsch, 2019) by exploring conditions related to the life-cycle approach that would require alignment among suppliers, additive manufacturing firms, and customers. This extension creates a bridge to aid implementation of taking a sustainability approach to additive manufacturing. In order to develop this extension, we distinguish between direct/indirect customers and internal/external customers and then create a matrix of incentives and cognitive frames that we believe will help companies interested in large-scale AM improve both the speed and the effectiveness of AM adoption. We provide an organizing framework that managers can use to create a supply chain that is aligned around closed-loop principles that will help speed adoption and move closer to sustainable goals that exist for AM technologies. These include reduced raw material use, reduced scrap and material overage, and reduced rework, and lower transportation costs. The goal is to attain often-conflicting goals of lower long-term costs and decreased environmental footprint. Using our extension, we believe we can provide a useful framework to help managers implementing advanced manufacturing technologies to achieve lower costs and greater environmental sustainability by creating a common supply chain framework around customized, on-demand products. KW - supply chain KW - additive manufacturing Y1 - 2019 SN - 2405-8963 SP - 260 EP - 264 CY - Oshawa, Ontario, Canada ER - TY - CHAP A1 - Fernströning, Sebastian A1 - Feldmann, Carsten ED - Padoano, Elio ED - Villmer, Franz-Josef T1 - Perception of Additive Manufacturing by SME: Empirical Survey via World Cafés T2 - 9th International Conference on Production Engineering and Management (PEM) 2019, Proceedings Y1 - 2019 SN - 978-3-946856-04-7 SP - 267 EP - 280 CY - Triest, Lemgo ER - TY - CHAP A1 - Tackenberg, Sven A1 - Jungkind, Wilfried A1 - Feldmann, Carsten A1 - Appelfeller, Wieland ED - Padoano, Elio ED - Villmer, Franz-Josef T1 - Digital Transformation of Companies: Experience Gained in the Implementation of an IoT Check T2 - 9th International Conference on Production Engineering and Management (PEM) 2019, Proceedings Y1 - 2019 SN - 978-3-946856-04-7 SP - 281 EP - 290 CY - Triest, Lemgo ER - TY - CHAP A1 - Feldmann, Carsten A1 - Kirsch, Therese ED - Padoano, Elio ED - Villmer, Franz-Josef T1 - Increasing the Sustainability of Manufacturing Processes: Ecological Impacts of Additive Manufacturing T2 - Production Engineering and Management N2 - Digitalization and sustainable development are goals of the global community, but can they also be achieved simultaneously? This article investigates the impacts of additive manufacturing (AM) on sustainable production and consumption. The use of AM technology as a means of digitalizing manufacturing processes is assessed through a qualitative life cycle analysis. The model developed for this purpose provides a structure for an analysis of the general ecological effects of AM. The systematics of the life cycle model also supports a company-specific assessment. AM can have a positive impact on achieving sustainable development with regards to ecological effects, particularly by reducing the consumption of resources in production and distribution. However, there are also negative ecological impacts of this technology, such as rebound effects and high energy consumption, which vary depending on the application and the printing process. It appears necessary for regulatory policy to intervene to maximize the opportunities for the positive effects of this technology. However, it is important to reduce the risks that contradict the objectives of the 12th Sustainable Development Goal of the UN: sustainability of consumption and production. KW - Digitalization KW - Ecological sustainability KW - 3D printing KW - Sustainable developement goals KW - Life-cycle assessment Y1 - 2019 SN - 978-3-946856-04-7 SP - 63 EP - 76 PB - OWL University of Applied Sciences and Arts CY - Lemgo ER - TY - JOUR A1 - Feldmann, Carsten A1 - Nießing, Jörg A1 - Geyer, Fred ED - AIMA All Indian Management Association, T1 - Three steps to outstanding digital CX JF - Indian Management Y1 - 2020 SN - 0019-5812 VL - 59 IS - 3 SP - 18 EP - 23 ER - TY - JOUR A1 - Burchardt, Martin A1 - Stuwe, Stefan A1 - Feldmann, Carsten ED - Fusion Consulting, T1 - Agile Project Management: Not a Silver Bullet JF - Whitepaper Y1 - 2020 SP - 1 EP - 11 ER - TY - JOUR A1 - Woltering, Tim A1 - Sardoux Klasen, André A1 - Feldmann, Carsten T1 - The Economic Value Added of Augmented Reality in the Packing Process JF - Journal of Applied Business and Economics Y1 - 2020 U6 - http://dx.doi.org/10.33423/jabe.v22i5.3051 VL - 22 IS - 5 SP - 88 EP - 96 ER - TY - CHAP A1 - Feldmann, Carsten A1 - Kaupe, Victor A1 - Lucas, Martin T1 - A Procedural Model for Exoskeleton Implementation in Intralogistics T2 - Data science and innovation in supply chain management / Wolfgang Kersten, Thorsten Blecker, Christian Ringle (Eds.) Y1 - 2020 SN - 978-3-753123-46-2 U6 - http://dx.doi.org/10.15480/882.3113 SP - 113 EP - 151 CY - Hamburg ER - TY - CHAP A1 - Thesing, Theo A1 - Feldmann, Carsten A1 - Burchardt, Martin T1 - Agile versus Waterfall Project Management: Decision Model for Selecting the Appropriate Approach to a Project T2 - ProjMAN – International Conference on Project Management 2020, Procedia Computer Science 181 (2021) Y1 - 2021 U6 - http://dx.doi.org/10.1016/j.procs.2021.01.227 SP - 746 EP - 756 ER - TY - JOUR A1 - Feldmann, Carsten A1 - Rose, Olaf T1 - Additive manufacturing in community pharmacies: a framework for business model innovation JF - BMJ Innovations Y1 - 2021 U6 - http://dx.doi.org/10.1136/bmjinnov-2019-000416 VL - Published Online First: 16 March 2021 SP - 1 EP - 12 ER - TY - CHAP A1 - Krakau, Jan A1 - Feldmann, Carsten A1 - Kaupe, Victor T1 - Robotic Process Automation in Logistics: Implementation Model and Factors of Success T2 - Adapting to the Future: Proceedings of the Hamburg International Conference of Logistics (HICL) – 32 / Hrsg. Carlos Jahn, Wolfgang Kersten, Christian Ringle Y1 - 2021 SN - 978-3-754927-71-7 U6 - http://dx.doi.org/10.15480/882.4005 SP - 219 EP - 256 ER - TY - CHAP A1 - Kaupe, Victor A1 - Feldmann, Carsten A1 - Wagner, Heiko T1 - Exoskeletons: Productivity and Ergonomics in Logistics – A Systematic Review T2 - Adapting to the future: Proceedings of the Hamburg International Conference of Logistics (HICL) / Hrsg. Carlos Jahn, Wolfgang Kersten, Christian Ringle Y1 - 2021 SN - 978-3-754927-70-0 U6 - http://dx.doi.org/10.15480/882.3947 SP - 527 EP - 561 ER - TY - CHAP A1 - Wiethölter, Jost A1 - Salingré, Jan A1 - Feldmann, Carsten A1 - Schwanitz, Johannes A1 - Niessing, Joerg T1 - Exploring Customer Journey Mining and RPA: Prediction of Customers’ Next Touchpoint T2 - Business Process Management: Blockchain, Robotic Process Automation and Educators Forum. BPM 2023. Lecture Notes in Business Information Processing, vol 491. J. Köpke (ed.) Y1 - 2023 SN - 978-3-031-43432-7 U6 - http://dx.doi.org/10.1007/978-3-031-43433-4_12 SP - 181 EP - 196 PB - Springer CY - Cham ER - TY - CHAP A1 - Morgret, Linda A1 - Feldmann, Carsten A1 - Matthies, Benjamin T1 - Value Driver Trees for KPI-Based Decision Analytics: Process Performance in the Order-to-Delivery Process T2 - Proceedings of the 57th Hawaii International Conference on System Sciences (HICSS) Y1 - 2024 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:836-opus-175131 UR - https://hdl.handle.net/10125/106547 SN - 978-0-9981331-7-1 ER - TY - CHAP A1 - Feldmann, Carsten A1 - Dreyer, Marlen A1 - Kaupe, Victor ED - Christoph, Glock ED - Eric, Grosse T1 - Assistance Systems in Manual Order Picking – A comprehensive Overview of Pick-by-X Systems T2 - Warehousing 5.0 - Managing the transition from techno-focused to human-value-centric intralogistics Y1 - 2024 SN - 979-8-873704-35-4 SP - 115 EP - 130 CY - Darmstadt, Saarbrücken ER - TY - JOUR A1 - Feldmann, Carsten T1 - Automizing Administrative Processes with Robotic Process Automation: The RPA Handbook JF - Survey of Tools for Software Engineering - United Innovations. Hrsg. Gerd Große Y1 - 2024 UR - https://www.software-innovations.eu/software-survey-1-2024/ IS - 1/24 SP - 28 EP - 31 ER - TY - CHAP A1 - Wiethölter, Jost A1 - Salingré, Jan A1 - Feldmann, Carsten A1 - Schwanitz, Johannes A1 - Niessing, Jörg ED - Köpke, Julius ED - Plattfaut, Ralf ED - Gdowska, Katarzyna ED - Munoz-Gama, Jorge ED - van der Werf, Jan Martijn ED - López-Pintado, Orlenys ED - Rehse, Jana-Rebecca ED - Gonzalez-Lopez, Fernanda ED - Smit, Koen T1 - Exploring Customer Journey Mining and RPA: Prediction of Customers’ Next Touchpoint T2 - Business Process Management: Blockchain, Robotic Process Automation and Educators Forum N2 - In-depth analysis of customer journeys to broaden the understanding of customer behaviors and expectations in order to improve the customer experience is considered highly relevant in modern business practices. Recent studies predominantly focus on retrospective analysis of customer data, whereas more forward-directed concepts, namely predictions, are rarely addressed. Additionally, the integration of robotic process automation (RPA) to potentially increase the efficiency of customer journey analysis is not discussed in the current field of research. To fill this research gap, this paper introduces “customer journey mining”. Process mining techniques are applied to leverage digital customer data for accurate prediction of customer movements through individual journeys, creating valuable insights for improving the customer experience. Striving for improved efficiency, the potential interplay of RPA and customer journey mining is examined accordingly. The research methodology followed is based on a design science research process. An initially defined customer journey mining artifact is operationalized through an illustrative case study. This operationalization is achieved by analyzing a log file of an online travel agency functioning as an orientation for researchers and practitioners while also evaluating the initially defined framework. The data is used to train seven distinct prediction models to forecast the touchpoint a customer is most likely to visit next. Gradient-boosted trees yield the highest prediction accuracy with 43.1%. The findings further indicate technical suitability for RPA implementation, while financial viability is unlikely. KW - Customer Journey Mining KW - Customer Journey Mapping KW - Robotic Process Automation KW - Process Mining KW - Prediction Y1 - 2023 UR - https://link.springer.com/chapter/10.1007/978-3-031-43433-4_12#Abs1 SN - 978-3-031-43432-7 U6 - http://dx.doi.org/https://doi.org/10.1007/978-3-031-43433-4 SN - 1865-1348 SP - 181 EP - 196 PB - Springer ER - TY - CHAP A1 - Appelhans, Hendrik A1 - Feldmann, Carsten A1 - Borgmann, Christopher T1 - Sensor-Based Analysis of Manual Processes in Production and Logistics: Motion-Mining versus Lean Tools T2 - International Conference on Dynamics in Logistics. Michael Freitag, Aseem Kinra, Herbert Kotzab, Nicole Megow (Eds.) Y1 - 2024 SN - 978-3-031-56826-8 U6 - http://dx.doi.org/10.1007/978-3-031-56826-8_18 SP - 235 EP - 248 PB - Springer Nature Switzerland CY - Cham ER -