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Emanuel Moser

M.Sc. Emanuel Moser

Akad. Mitarbeiter
Bereich: Produktionssysteme
Sprechstunden: nach Vereinbarung
Raum: 104, Geb. 50.36
Tel.: +49 721 608-44018
Fax: +49 721 608-45005
Emanuel MoserLhe2∂kit edu

Campus Süd

M. Sc. Emanuel Moser

Forschungs- und Arbeitsgebiete:

  • Planung und Bewertung globaler Produktionsnetzwerke
  • Lean and Green Production



  • RobustPlaNet – Shock-robust Design of Plants and their Supply Chain Networks
  • MoBiLe – Monetäre Bewertung eines integrierten Lean-/Green-Konzeptes zur Steigerung der Qualität in Produktionssystemen


Allgemeine Aufgaben:



06/2013 Akademischer Mitarbeiter in der Gruppe Produktionssysteme am wbk Institut für Produktionstechnik des Karlsruher Instituts für Technologie (KIT)
2006 – 2013 Studium des Wirtschaftsingenieurwesens am Karlsruher Institut für Technologie (KIT)


[ 1 ] Arndt, T.; Hochdörffer, J.; Moser, E.; Peters, S. & Lanza, G. (2014), „Customer-driven Planning and Control of Global Production Networks - Balancing Standardisation and Regionalisation“. Proceedings of the 18th Cambridge International Manufacturing Symposium, Hrsg. University of Cambrigde, S. 60-74.
An increasing and volatile demand in emerging economies challenges manufacturing companies to decide, whether the new markets can be satisfied with the existing product portfolio, or to which extent it has to be adapted to meet the regional market requirements. A three-step approach to enable globally operating companies to efficiently deliver innovative products adapted to regional requirements regarding product design and functionality is presented. In the first step a bottom-up process is formulated on how to design customer-oriented products for frugal innovation integrating the customer directly in the design process. In the second step a methodology to design production systems in accordance with the customised products including the customer in the order-fulfilment process is composed, while in the third step a multi-objective optimization approach is developed to strategically design production networks and to plan and control the designed networks on an operative level taking dynamic business environments into account.

[ 2 ] Moser, E. (2015), „Globale Produktionsstrategien am Beispiel des Mittelständlers Era-Contact“. Wertschöpfung in China, Hrsg. Prof. Dr.-Ing. Jürgen Fleischer, S. 119-137.
Am Beispiel der ERA-Contact GmbH wird eine Methodik zur strategischen Planung globaler Produktionsnetzwerke vorgestellt. Durch die Anwendung eines multikriteriellen Optimierungsansatzes wurde schließlich der Wandlungsbedarf und -zeitpunkt des Produktionsnetzwerkes der ERA-Contact GmbH identifiziert. Als Ausblick werden zudem zukünftige Forschungsfelder im, Bereich Globale Produktionsstrategien vorgestellt und diskutiert.

[ 3 ] Greinacher, S.; Moser, E.; Hermann, H. & Lanza, G. (2015), „Simulation based assessment of lean and green strategies in manufacturing systems“. Efficiency to Effectiveness: Sustainability in Manufacturing, Hrsg. Kara, S., S. 86-91.
The increase of resource (energy and material) efficiency by eliminating unnecessary consumption represents the logical continuation from lean manufacturing to lean and green manufacturing. However, economic efficiency remains the primary decision criterion for the implementation of corresponding strategies. This paper presents a simulation based approach for monetary assessment of lean and green manufacturing systems considering non-monetary green limits. Inclusion of material and energy consumption as well as resulting greenhouse gas emissions enables planners to predict the overall economic performance of a factory. Furthermore, product variant specific footprints of material and energy demands as well as resulting emissions support in-depth analysis of value streams in manufacturing.

[ 4 ] Greinacher, S.; Moser, E.; Hermann, H. & Lanza, G. (2015), „Schlank und ressourceneffizient produzieren“, wt Werkstattstechnik online, Nr. 4, S. 231-237.
Neben den klassischen Zielgrößen Kosten, Zeit und Qualität sind Unternehmen zunehmend mit Forderungen nach Ressourceneffizienz (Energie, Material) und Verringerung von CO2-Emissionen konfrontiert. In aller Regel stellt die Wirtschaftlichkeit jedoch weiterhin das entscheidende Kriterium bei der Einführung „grüner“ Maßnahmen dar. Der Fachbeitrag beschreibt eine Methodik zur Planung und Bewertung von Maßnahmen zur wirtschaftlichen Gestaltung von Produktionssystemen unter Berücksichtigung „grüner“ Grenzwerte.

[ 5 ] Lanza, G.; Moser, E.; Stoll, J. & Haefner, B. (2015), „Learning Factory on Global Production“. Procedia CIRP, Hrsg. Kreimeier, D., Elsevier, S. 120-125.
Based on the fundamental principle of teaching psychology that retentiveness increases if students actively apply learning topics rather than only attend oral or visual presentations, the concept of learning factories becomes more and more popular. Academic education in the field of production science is imparted by means of real-world manufacturing facilities. By applying the manufacturing process of a real product, students or professionals incorporate the learning contents effectively and gain consciousness about their practical implications. Most learning factories are focused on lean manufacturing, lean administration or resource efficiency. As today manufacturing is not only subject to a single factory, but a network of globally distributed production sites, at the wbk Institute of Production Science, currently, a learning factory dealing with the topic of global production is developed. On the one hand, the curriculum of the Learning Factory Global Production (LGP) involves the specifics of local production sites with different location factors, such as different degrees of automation, cost structures and qualification levels, and their effects on the reconfigurability of the production systems. On the other hand, the interaction of the production sites in a globally distributed production network and the strategic configuration of the network are also subject to the curriculum. The manufacturing processes are exemplified by the assembly of an automotive e-motor with transmission in the learning factory on global production. The learning factory is realized in cooperation with the Robert Bosch GmbH.

[ 6 ] Stricker, N. .; Pfeiffer, A.; Moser, E.; Kádár, B.; Lanza, G. & Monostori, L. . (2015), „Supporting multi-level and robust production planning and execution“, Operating current production systems influenced by the factors of increasing dynamics and volatility poses a need for robustness. Among different enablers for robustness the appropriate ones for specific production systems have to be identified and evalua, S. 415-418.
Operating current production systems influenced by the factors of increasing dynamics and volatility poses a need for robustness. Among different enablers for robustness the appropriate ones for specific production systems have to be identified and evaluated. In this cooperative paper multi-objective decision support models will be presented evaluating the best enablers for the levels of production network, plant and shop-floor. The suggested models for the stabilization of the production system's performance under volatile environment use analytical and simulation based approaches on the regarded levels.

[ 7 ] Hochdörffer, J.; Arndt, T.; Bürgin, J.; Moser, E.; Scherb, M. & Lanza, G. (2015), „Evaluation of global manufacturing networks“. Proceedings of the 19th Cambridge International Manufacturing Symposium, Hrsg. University of Cambridge, S. 327-339.
To remain competitive in an environment of emerging markets and increasing globalization, many companies in the manufacturing industry are facing challenges. Adding new production capacities or adapting existing production capacities of their manufacturing network becomes necessary to realize local production advantages and for serving new markets. In this regard, network configuration alternatives need to be evaluated according to the decision maker’s perspective. Thereby, the goal-orientation of each perspective has a fundamental influence on the design of manufacturing sites and their connections. The objective of this paper is to demonstrate the influence of different perspectives on design decisions of manufacturing net-works. Therefore, seven relevant perspectives are identified based on current trends in literature. In addition, more than 70 key performance indicators (KPIs) were identified and assigned to the different perspectives. Based on the reference point method and the analytical hierarchy process, a comprehensive approach is developed enabling the evaluation of manu-facturing network alternatives according to different perspectives and related KPIs. The KPI-based approach allows for adjustment to manufacturing network and target system specifics using weightings on perspective level and KPI level. The paper is concluded by demonstrating the functionality of the approach using an example.

[ 8 ] Greinacher, S.; Moser, E. & Lanza, G. (2016), „Verbesserungsstrategien in Produktionssystemen“, wt Werkstattstechnik online, Nr. 4, S. 260-265. [11.07.16].
Planer und Entscheider bewegen sich beim Optimieren von Produktionssystemen mithilfe von Lean- und Green-Methoden im Spannungsfeld aus Zeit, Kosten, Qualität und zunehmendem Umweltbewusstsein. Dieser Fachbeitrag stellt eine auf Simulation und Design of Experiments basierende Methodik zur Identifikation grundlegender Effekte und Wechselwirkungen von Lean- und Green-Parametern vor. Am Beispiel einer idealtypischen Produktionslinie werden Handlungsempfehlungen für Entscheider abgeleitet.

[ 9 ] Moser, E.; Stricker, N.; Liebrecht, C.; Hiller, A.; Ziegler, M. & Lanza, G. (2016), „Migration Planning for Global Production Networks using Markovian Decision Processes“. IFAC-PapersOnLine, Hrsg. International Federation of Automatic Control, S. 35-40.
Modern globalization leads companies into a changing environment with a highly uncertain future development of key drivers of change. Especially, global production networks are affected by uncertainty and dynamic changes. Reactiveness becomes of crucial importance, as the adaptation to environmental conditions is the key to maintain competitive advantages. This article presents an approach for flexible migration planning in global production networks. The focus is on the formulation of a Markovian Decision Process (MDP) that enables the identification of optimal reactions to stochastic changes of key drivers of change. The formulation includes the description of a multi-level modelling approach for global production networks. Furthermore the valuation model of the reward function of the MDP is discussed in detail. Finally, the paper provides a brief description of exemplary optimization results solving the MDP by backward induction.

[ 10 ] Stricker, N.; Moser, E. & Lanza, G. (2016), „The concept of Robustness in Production Systems“. Enterprise Interoperability in the Digitized and Networked Factory of the Future, Hrsg. I-ESA, S. 395-401.
The current production environment is characterized by increasing dynamics. Given these volatile production conditions, robustness becomes an ever more important characteristic for production systems. The robustness shall ensure successful production in a varying production environment. Robustness therefore is a compromise between stable and efficient production systems. The concept of robustness as a characteristic of production systems will be regarded in this paper. Besides the pure concept, the entities influencing robustness will be analyzed. The main factors herein are the regarded system parameters, the regarded time-frame and the range of disturbances. These factors strongly affect the performance of a production system. For a proper analysis of a production system’s robustness, the given factors need to be specified. Therefor a general framework of robustness will be presented in the paper. The regarded robustness can be classified using the framework. Given this prerequisite, the robustness can be analyzed regarding the performance behavior a production system exposed to a dynamic environment. The performance behavior will lead to possible measures for production system robustness.

[ 11 ] Greinacher, S.; Moser, E.; Freier, J.; Müller, J. & Lanza, G. (2016), „Simulation-based methodology for the application of lean and green strategies depending on external change driver influence“. -, Hrsg. Seliger, G. & Krüger, J., S. 242-247.
Globalization, growing environmental awareness as well as rising and volatile resource prices contribute to an increasingly uncertain Business environment in manufacturing. It is impossible to consider all future developments of external influences when planning and setting up a new manufacturing system. Therefore, companies must react with constant change and readjustment. This paper presents an approach based on simulation and design of experiments for the identification of suitable improvement strategies that counteract negative effects of external change drivers in discrete manufacturing systems. It covers selection of an effective strategy under consideration of its impacts. Thereupon, the ideal intervention threshold for the implementation of the selected strategy is derived. The methodology is applied to an ideal typical production line.

[ 12 ] Becker, J.; Kadar, B.; Colledani, M.; Stricker, N.; Urgo, M.; Unglert, J.; Gyulai, D. & Moser, E. (2016), „The RobustPlaNet Project: Towards Shock-Robust Design Of Plants And Their Supply Chain Networks“. IFAC-PapersOnLine, Hrsg. International Federation of Automatic Control, S. 29-34.
This paper provides an overview of the research goals and current research status of the EU-FP7 project RobustPlaNet. A description of the general concept and vision of the project is presented and the adopted definition of robustness at plant and supply chain levels are discussed. Moreover, the RobustPlaNet approach and its innovative technologies and methods are described, followed by a summary of the different industrial use cases. The architecture of the decision support cockpit that will emerge from the integration of these tools is presented. At last, the overall impact of the RobustPlaNet solution is discussed, supporting the European manufacturing industry in the transition towards shock-robust plants and supply chains

[ 13 ] Treber, S.; Moser, E. & Lanza, G. (2016), „Workforce Flexibility in Production Networks: Mid-Term Capacity Planning Illustrated by an Example of the Automotive Industry“. Advanced Materials Research, Hrsg. Trans Tech Publications, S. 427-434.
Modern globalization is characterized by a production in networks. With an increasingly dynamic business environment, the focus of production planning shifts to network management. This paper presents a method for managing production networks. The emphasis is on capacity planning and the use of instruments that render the staff more flexible. The methodology also integrates an approach to hedge against the risk of systematic errors in forecasting the market demand.

[ 14 ] Stricker, N.; Pfeiffer, A.; Moser, E.; Kádár, B. & Lanza, G. (2016), „Performance measurement in flow lines – Key to performance improvement“, CIRP Annals - Manufacturing Technology, S. 463-466.
Key Performance Indicators (KPIs) are frequently used for measuring a production systems’ performance. The selection of KPIs should lead to a set being as small as possible but taking into account all relevant aspects of the system. This paper provides an analytical approach to determine the set of relevant KPIs for specific production lines, allowing for a transparent and complete performance measurement. An LP was formulated for the proposed KPI model and a significant reduction of the number of KPIs used could be realized. The analytical model was tested in a real industrial application.

[ 15 ] Greinacher, S.; Moser, E.; Winzker, M.; Macke, M. & Lanza, G. (2017), „Lean und Green zugleich“, QZ Qualität und Zuverlässigkeit, Nr. 1, S. 28-33.
In Produktionsunternehmen gilt es zunehmend, Qualität, Kosten, Zeit und Ressourceneffizienz zugleich zu steigern. Dies erfordert Transparenz und Optimierung entlang aller Prozessketten und damit eine intensive Zusammenarbeit und Vernetzung aller Kompetenzen im Unternehmen auf Basis von Wertstromanalysen. Ein mittelständischer Metallverarbeiter hat unter Einsatz von QM-Methoden ein entsprechendes Analyse- und Bewertungsverfahren entwickelt und angewandt - und durch die ganzheitliche Sicht der Produktion die Qualität aller Prozesse und Abläufe gesteigert.

[ 16 ] Liebrecht, C.; Hochdörffer, J.; Treber, S.; Moser, E.; Erbacher, T.; Gidion, G. & Lanza, G. (2017), „Concept development for the verification of the didactic competence promotion for the Learning Factory on Global Production“. Procedia Manufacturing, Hrsg. Elsevier B.V., S. 315-322.
Professional action-related competence of employees plays an increasingly important role for globally operating manufacturing companies to remain competitive. Furthermore, the Bologna process calls for a paradigm change in higher education by placing greater emphasis on the learning process and learner. In order to meet both requirements within the framework of academic teaching and further education, a novel training concept was developed and utilized at wbk’s practical and engineering-oriented Learning Factory on Global Production (LGP). The concept aims promoting professional and methodological competencies. Based on specified teaching and learning objectives, indicators are defined to make the promotion of these competencies ascertainable.

[ 17 ] Treber, S.; Moser, E.; Schneider, J. & Lanza, G. (2017), „Digitales Dokumentenmanagement“, Industrie 4.0 Management, Nr. 4, S. 17-20.
Im Kontext von Industrie 4.0 sowie steigenden Zertifizierungs- und Transparenzvorschriften stehen Unternehmen vor der Herausforderung, eine zunehmende Anzahl von Dokumenten digital und prozesssicher zu verwalten. Dokumentenmanagementsysteme (DMS) erleichtern das Erstellen, Auffinden und Archivieren digitaler Dokumente. Der Markt für DMS gestaltet sich jedoch für den Anwender unübersichtlich. Die Einführung eines Systems ist zudem mit konzeptionellen Herausforderungen verbunden. Aus diesen Gründen scheitert eine Vielzahl von Einführungsprojekten. Dieser Beitrag stellt eine Methode vor, welche die Einführung von DMS in produktionsnahen Unternehmensbereichen vorbereitet und die Auswahl geeigneter Softwareanbieter unterstützt. Die Methode wird anhand eines Industriebeispiels veranschaulicht.