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 - CHAP A1 - Woltering, Tim A1 - Sardoux Klasen, Andre A1 - Feldmann, Carsten ED - Freitag, Michael ED - Haasis, Hans-Dietrich ED - Kotzab, Herbert ED - Pannek, Jürgen T1 - Augmented Reality in the Packing Process A Model for Analyzing Economic Efficiency T2 - Dynamics in Logistics. LDIC 2020. Lecture Notes in Logistics. N2 - The use of augmented reality (AR) in outbound logistics is associated with potentially strong stimuli for cost savings and throughput time. Nevertheless, the benefits of AR compared to conventional methods require a holistic analysis for investment decision making. Until now, research has only assessed case-study-related potentials and selected aspects of the technology. This paper answers the following research questions: How can the economic efficiency of AR in the packing process be quantified by utilizing a holistic model of value drivers? How can AR be technically implemented for packing processes in outbound logistics? What economic profit results from the use of AR technology in a case company’s packing process? The presented model enables the investment decision to be supported based on economic value added (EVA), thereby providing an assessment of value drivers in packing systems. Cost drivers are identified on the basis of the Supply Chain Operations Reference (SCOR) process model. The technical and economic validation of the model was carried out by means of an empirical study: Expert interviews were conducted for validating the model elements. Data collection by a prototype at a mechanical-engineering company was used to calculate the value contribution. The mapping of cause-effect relationships within the framework of EVA driver trees has proven itself in both the expert interviews and the prototype validation. The field experiment at the case company demonstrated a positive value contribution of AR, in particular regarding employee productivity, length and variance of throughput time, quality aspects, volume utilization, and quantity of packing material used. KW - Augmented Reality KW - Cost drivers KW - Packaging KW - Economic value added KW - Value contribution Y1 - 2020 UR - https://link.springer.com/chapter/10.1007%2F978-3-030-44783-0_46 SN - 978-3-030-44783-0 U6 - http://dx.doi.org/https://doi.org/10.1007/978-3-030-44783-0_46 SP - 493 EP - 503 PB - Springer CY - Cham 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 - 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 - 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 -