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M.Sc. Sina Helming

Akad. Mitarbeiterin
Bereich: Produktionssysteme
Sprechstunden: Nach Vereinbarung
Raum: 107, Geb. 50.36
Tel.: +49 721 608-44297
Fax: +49 721 608-45005
Sina HelmingMph2∂kit edu

76131 Karlsruhe
Kaiserstraße 12

M.Sc. Sina Helming

Forschungs- und Arbeitsgebiete:

  • Globale Produktionsstrategien
  • Gestaltung globaler Produktionsnetzwerke
  • Integrierte Produktions- und Logistikplanung


Allgemeine Aufgaben:

  • Vorlesungsbetreuung „Globale Produktion“
  • Betreuung der Vorlesung „Global Production“ an der Hector School
  • Betreuung der Workshopserie „Arbeitstechniken im Maschinenbau“ an der Carl Benz School of Engineering



  • ProRegio – Customer-driven design of product-services and production networks to adapt to regional market requirements
  • FlexPLN – Erforschung von Modellierung und Softwaretechnologie für die flexible und integrierte Produktions- und Logistikplanung in dynamischen Netzwerken


10/2010 - 03/2017 Studium des Wirtschaftsingenieurwesens am Karlsruher Institut für Technologie
seit 04/2017 Wissenschaftliche Mitarbeiterin am Institut für Produktionstechnik (wbk) des Karlsruher Instituts für Technologie (KIT)


[ 1 ] Lux, E.; Adam, M.; Dorner, V.; Helming, S.; Knierim, M. & Weinhardt, C. (2018), „Live Biofeedback as a User Interface Design Element: A Review of the Literature“, Communications of the Association for Information Systems, S. 257-296. 10.17705/1CAIS.04318
With the advances in sensor technology and real-time processing of neurophysiological data, a growing body of academic literature has begun to explore how live biofeedback can be integrated into information systems for everyday use. While researchers have traditionally studied live biofeedback in the clinical domain, the proliferation of affordable mobile sensor technology enables researchers and practitioners to consider live biofeedback as a user interface element in contexts such as decision support, education, and gaming. In order to establish the current state of research on live biofeedback, we conducted a literature review on studies that examine self and foreign live biofeedback based on neurophysiological data for healthy subjects in an information systems context. By integrating a body of highly fragmented work from computer science, engineering and technology, information systems, medical science, and psychology, this paper synthesizes results from existing research, identifies knowledge gaps, and suggests directions for future research. In this vein, this review can serve as a reference guide for researchers and practitioners on how to integrate self and foreign live biofeedback into information systems for everyday use.

[ 2 ] Buergin, J.; Helming, S.; Blaettchen, P.; Schweizer, Y.; Bitte, F.; Haefner, B. & Lanza, G. (2018), „Local order scheduling for mixed-model assembly lines in the aircraft manufacturing industry“, Production Engineering Research and Development, S. 1-9.
Multi-variant products to be assembled on mixed-model assembly lines at locations within a production network need to be scheduled locally. Scheduling is a highly complex task especially if it simultaneously covers the assignment of orders, which are product variants to be assembled within a production period, to assembly lines as well as their sequencing on the lines. However, this is required if workers can flexibly fulfill tasks across stations of several lines and, thus, capacity of workers is shared among the lines. As this is the case for final assembly of the Airbus A320 Family, this paper introduces an optimization model for local order scheduling for mixed-model assembly lines covering both assignment to lines as well as sequencing. The model integrates the planning approaches mixed-model sequencing and level scheduling in order to minimize work overload in final assembly and to level material demand with regard to suppliers. The presented model is validated in the industrial application of the final assembly of the Airbus A320 Family. The results demonstrate significant improvement in terms of less work overload and a more even material demand compared to current planning.

[ 3 ] Helming, S.; Buergin, J.; Bitte, F.; Haefner, B. & Lanza, G. (2019), „Integrated Production and Logistics Planning and Control in Global Production Networks“. Advances in Production Research, Hrsg. R. Schmitt and G. Schuh, S. 637-646.
As a result of the increasing interdependencies within global production networks, the importance of an improved coordination of the associated individual processes is continuously rising. In particular, enormous potential is expected from a stronger integration of production and logistics planning and control. While previous approaches have mainly dealt with the integration of production planning and distribution logistics planning, this paper pursues the goal of integrating the procurement logistics and the production perspectives, considering both predictive and reactive components. To achieve this goal, an initial framework for the integrated procurement logistics and production planning and control is developed and exemplified in the context of an aircraft manufacturer within the scope of this paper.