Kramer, T., Weis, H., Kramer, M., Baldus, S., Rosenkranz, S., Spinler, S. (accepted), Machine learning for prediction of key hemodynamic parameters in pulmonary arterial hypertension, European Heart Journal - Digital Health.

Aktuelle Publikationen
Machine learning for prediction of key hemodynamic parameters in pulmonary arterial hypertension
Clement, L., Spinler, S. (2025), Advancing sustainability in e-commerce packaging: a simulation-based study for managing returnable transport items, Transportation Research Part E: The Logistics and Transportation Review, Vol. 193, 103868.
Clement, L., Spinler, S. (2025), From returns to re-usage: a data-driven strategy for sustainable packaging – a case study in e-commerce, Journal of Cleaner Production, Vol. 510, 145584.
Vogel, S., Kreimeyer, M., Richter, R., Spinler, S. (2024), The missing piece for persistent anchoring of customer integration in organizational processes, IEEE Transactions on Engineering Management, Vol. 71 (1), pp. 517-530.
Schlappa, M. T., Hegemann, J., Spinler, S. (2024), Optimizing control of waste incineration plants using reinforcement learning and digital twins, IEEE Transactions on Engineering Management, Vol. 71 (9), pp. 3076-3087.
Vogel, S., Kreimeyer, M., Richter, R., Spinler, S. (2024), A framework for a persistent representation of customer knowledge to enhance product development, IEEE Transactions on Engineering Management, Vol. 71, pp. 9496 - 9509.
Falkenberg, S., Spinler, S., Strauss, A. (2024), An algorithm for flexible transshipments with perfect synchronization, European Journal of Operational Research, Vol. 315 (3), pp. 913-925.
Sporkmann, J., Liu, Y., Spinler, S. (2024), Corrigendum to “Carbon emissions from European land transportation: a comprehensive analysis”, Transportation Research Part D: Transport and Environment, Vol. 126, 103992.
Winkenbach, M., Spinler, S., Pachon, J., Konduri, K. (2024), Introduction to the special issue on machine learning methods and applications in large-scale route planning problems, Transportation Science, Vol. 58 (1), pp. 1-7.
Peppel, M., Spinler, S., Winkenbach, M. (2024), Integrating mobile parcel lockers into last-mile delivery networks: an operational design for home delivery, stationary, and mobile parcel lockers, International Journal of Physical Distribution & Logistics Management, Vol. 54 (4), pp. 418-447.
Büchel, H., Spinler, S. (2024), The impact of the metaverse on e-commerce business models: a delphi-based scenario study, Technology in Society, Vol. 76, 102465.
Winkelmann, J., Spinler, S., Neukirchen, T. (2024), Green transport fleet renewal using approximate dynamic programming: a case study in German heavy-duty road transportation, Transportation Research Part E: The Logistics and Transportation Review, Vol. 186, 103547.
Raaymann, S. S., Spinler, S. (2024), Measuring supply chain resilience along the automotive value chain: a comparative research on literature and industry, Transportation Research Part E: The Logistics and Transportation Review, Vol. 192, 103792.
Berger, N. K. L., Schulze-Schwering, S., Long, E., Spinler, S. (2023), Risk management of supply chain disruptions: an epidemic modeling approach, European Journal of Operational Research, Vol. 304 (3), pp. 1036-1051.
Falkenberg, S., Spinler, S. (2023), Integrating operational and human factors to predict daily productivity of warehouse employees using extreme gradient boosting, International Journal of Production Research, Vol. 61 (24), pp. 8654-8673.
Burkhardt, M., Nitsch, F. J., Spinler, S., Van Wassenhove, L. (2023), The effect of acute stress on humanitarian supplies management, Production and Operations Management, Vol. 32 (8), pp. 2546-2559.
Heidel, A., Hagist, C., Spinler, S., Schöneberger, M. (2023), Removing dust from the German health care system by introducing health apps into standard care: semistructured interview study, JMIR Human Factors, Vol. 10, e42186.
Bell, L., Spinler, S., Winkenbach, M., Müller, V. (2023), Assessing economic, social and ecological impact of parcel-delivery interventions in integrated simulation, Transportation Research Part D: Transport and Environment, Vol. 121, 103817.
Sporkmann, J., Liu, Y., Spinler, S. (2023), Carbon emissions from European land transportation: a comprehensive analysis, Transportation Research Part D: Transport and Environment, Vol. 121, 103851.
Peppel, M., Ringbeck, J., Spinler, S. (2022), How will last-mile delivery be shaped in 2040? a Delphi-based scenario study, Technological Forecasting & Social Change, Vol. 177, 121493.
Furrer, M., Mostofi Darbani, H., Spinler, S. (2022), A study on the impact of extreme weather events on the ceramic manufacturing in Egypt, Resources, Environment and Sustainability , Vol. 7, 100049.
Falkenberg, S. F., Spinler, S. (2022), The role of novel data in maintenance planning: breakdown predictions for material handling equipment, Computers & Industrial Engineering, Vol. 169, 108230.
Peppel, M., Spinler, S. (2022), The impact of optimal parcel locker locations on costs and the environment, International Journal of Physical Distribution & Logistics Management, Vol. 52 (4), pp. 324-350.
Soyk, C., Ringbeck, J., Spinler, S. (2021), Effect of long-haul low-cost carriers on North Atlantic air fares, Transportation Research Part E: The Logistics and Transportation Review, Vol. 152, 102415.
Weingarten, J., Spinler, S. (2021), Shortening delivery times by predicting customers’ online purchases: a case study in the fashion industry, Information Systems Management, Vol. 38 (4), pp. 287-308.
Hess, A., Spinler, S., Winkenbach, M. (2021), Real-time demand forecasting for an urban delivery platform, Transportation Research Part E: The Logistics and Transportation Review, Vol. 145, 102147.
Schmalz, U., Spinler, S., Ringbeck, J. (2021), Lessons learned from a two-round Delphi-based scenario study, MethodsX, Vol. 8, 101179.
Schmalz, U., Ringbeck, J., Spinler, S. (2021), Door-to-door air travel: exploring trends in corporate reports using text classification models, Technological Forecasting & Social Change, Vol. 170, 120865.
Machine learning for prediction of key hemodynamic parameters in pulmonary arterial hypertension
Kramer, T., Weis, H., Kramer, M., Baldus, S., Rosenkranz, S., Spinler, S. (accepted), Machine learning for prediction of key hemodynamic parameters in pulmonary arterial hypertension, European Heart Journal - Digital Health.
Clement, L., Spinler, S. (2025), Advancing sustainability in e-commerce packaging: a simulation-based study for managing returnable transport items, Transportation Research Part E: The Logistics and Transportation Review, Vol. 193, 103868.
Clement, L., Spinler, S. (2025), From returns to re-usage: a data-driven strategy for sustainable packaging – a case study in e-commerce, Journal of Cleaner Production, Vol. 510, 145584.
Vogel, S., Kreimeyer, M., Richter, R., Spinler, S. (2024), The missing piece for persistent anchoring of customer integration in organizational processes, IEEE Transactions on Engineering Management, Vol. 71 (1), pp. 517-530.
Schlappa, M. T., Hegemann, J., Spinler, S. (2024), Optimizing control of waste incineration plants using reinforcement learning and digital twins, IEEE Transactions on Engineering Management, Vol. 71 (9), pp. 3076-3087.
Vogel, S., Kreimeyer, M., Richter, R., Spinler, S. (2024), A framework for a persistent representation of customer knowledge to enhance product development, IEEE Transactions on Engineering Management, Vol. 71, pp. 9496 - 9509.
Falkenberg, S., Spinler, S., Strauss, A. (2024), An algorithm for flexible transshipments with perfect synchronization, European Journal of Operational Research, Vol. 315 (3), pp. 913-925.
Sporkmann, J., Liu, Y., Spinler, S. (2024), Corrigendum to “Carbon emissions from European land transportation: a comprehensive analysis”, Transportation Research Part D: Transport and Environment, Vol. 126, 103992.
Winkenbach, M., Spinler, S., Pachon, J., Konduri, K. (2024), Introduction to the special issue on machine learning methods and applications in large-scale route planning problems, Transportation Science, Vol. 58 (1), pp. 1-7.
Peppel, M., Spinler, S., Winkenbach, M. (2024), Integrating mobile parcel lockers into last-mile delivery networks: an operational design for home delivery, stationary, and mobile parcel lockers, International Journal of Physical Distribution & Logistics Management, Vol. 54 (4), pp. 418-447.
Büchel, H., Spinler, S. (2024), The impact of the metaverse on e-commerce business models: a delphi-based scenario study, Technology in Society, Vol. 76, 102465.
Winkelmann, J., Spinler, S., Neukirchen, T. (2024), Green transport fleet renewal using approximate dynamic programming: a case study in German heavy-duty road transportation, Transportation Research Part E: The Logistics and Transportation Review, Vol. 186, 103547.
Raaymann, S. S., Spinler, S. (2024), Measuring supply chain resilience along the automotive value chain: a comparative research on literature and industry, Transportation Research Part E: The Logistics and Transportation Review, Vol. 192, 103792.
Berger, N. K. L., Schulze-Schwering, S., Long, E., Spinler, S. (2023), Risk management of supply chain disruptions: an epidemic modeling approach, European Journal of Operational Research, Vol. 304 (3), pp. 1036-1051.
Falkenberg, S., Spinler, S. (2023), Integrating operational and human factors to predict daily productivity of warehouse employees using extreme gradient boosting, International Journal of Production Research, Vol. 61 (24), pp. 8654-8673.
Burkhardt, M., Nitsch, F. J., Spinler, S., Van Wassenhove, L. (2023), The effect of acute stress on humanitarian supplies management, Production and Operations Management, Vol. 32 (8), pp. 2546-2559.
Heidel, A., Hagist, C., Spinler, S., Schöneberger, M. (2023), Removing dust from the German health care system by introducing health apps into standard care: semistructured interview study, JMIR Human Factors, Vol. 10, e42186.
Bell, L., Spinler, S., Winkenbach, M., Müller, V. (2023), Assessing economic, social and ecological impact of parcel-delivery interventions in integrated simulation, Transportation Research Part D: Transport and Environment, Vol. 121, 103817.
Sporkmann, J., Liu, Y., Spinler, S. (2023), Carbon emissions from European land transportation: a comprehensive analysis, Transportation Research Part D: Transport and Environment, Vol. 121, 103851.
Peppel, M., Ringbeck, J., Spinler, S. (2022), How will last-mile delivery be shaped in 2040? a Delphi-based scenario study, Technological Forecasting & Social Change, Vol. 177, 121493.
Furrer, M., Mostofi Darbani, H., Spinler, S. (2022), A study on the impact of extreme weather events on the ceramic manufacturing in Egypt, Resources, Environment and Sustainability , Vol. 7, 100049.
Falkenberg, S. F., Spinler, S. (2022), The role of novel data in maintenance planning: breakdown predictions for material handling equipment, Computers & Industrial Engineering, Vol. 169, 108230.
Peppel, M., Spinler, S. (2022), The impact of optimal parcel locker locations on costs and the environment, International Journal of Physical Distribution & Logistics Management, Vol. 52 (4), pp. 324-350.
Soyk, C., Ringbeck, J., Spinler, S. (2021), Effect of long-haul low-cost carriers on North Atlantic air fares, Transportation Research Part E: The Logistics and Transportation Review, Vol. 152, 102415.
Weingarten, J., Spinler, S. (2021), Shortening delivery times by predicting customers’ online purchases: a case study in the fashion industry, Information Systems Management, Vol. 38 (4), pp. 287-308.
Hess, A., Spinler, S., Winkenbach, M. (2021), Real-time demand forecasting for an urban delivery platform, Transportation Research Part E: The Logistics and Transportation Review, Vol. 145, 102147.
Schmalz, U., Spinler, S., Ringbeck, J. (2021), Lessons learned from a two-round Delphi-based scenario study, MethodsX, Vol. 8, 101179.
Schmalz, U., Ringbeck, J., Spinler, S. (2021), Door-to-door air travel: exploring trends in corporate reports using text classification models, Technological Forecasting & Social Change, Vol. 170, 120865.