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M.Sc. Jan Hochdörffer

Akad. Mitarbeiter
Bereich: Produktionssysteme
Sprechstunden: nach Vereinbarung
Raum: 104, Geb. 50.36
Tel.: +49 721 608-44018
Fax: +49 721 608-45005
Jan HochdoerfferLig5∂kit edu

Campus Süd

M.Sc. Jan Hochdörffer

Forschungs- und Arbeitsgebiete:

  • Globale Produktionsstrategien
  • Gestaltung globaler Produktionsnetzwerke
  • Lieferantenmanagement  

Allgemeine Aufgaben:



  • ProRegio – Customer-driven design of product-services and production networks to adapt to regional market requirement
  •       GreenREX – Elektrofahrzeug mit regenerativ betriebenem On-Board-Energiewandler in Form eines monovalenten Erdgasmotors




[ 1 ] Ruhrmann, S.; Hochdörffer, J. & Lanza, G. (2014), „Assessment of Dynamics and Risks in Supplier Selection Processes“. Proceedings of the 8th International Conference on Digital Enterprise Technology (DET 2014), Hrsg. Procedia CIRP, S. 2-9.
Increasing competitive pressure in the production sector has led to considerable changes in the global competitive structure. Currently, companies attempt to counteract cost pressure by increasing their global outsourcing activities as well as focusing on their core competencies. Hence, global procurement has gained increasing importance among general purchasing activities of companies and is predicted to have an increasing influence on future cost development. Due to this development, companies are looking for new suppliers in low-wage countries. However, companies have to consider negative effects in the fields of quality, service level, and counterfeiting or plagiarising of merchandise. Therefore, cost savings in low-wage countries can only be achieved through major efforts during the planning and the realisation phase of the supplier selection process. Purchasing companies lack systematic assistance in analysing the procurement object and the economic environment of potential supplier candidates. This paper presents a two-step approach dealing with the issue of global procurement in low-wage countries and how this issue is faced taking business environment into account. In the first step, a method is described using the help of a requirement profile for suppliers and a cost structure analysis to select potential suppliers. In the second step, an approach for modelling and identifying potential dynamics and risks related to the acquisition of new suppliers in low-wage countries is developed.

[ 2 ] Lanza, G.; Hauns, D.; Hochdörffer, J.; Peters, S. & Ruhrmann, S. (2014), „State of Automotive Technology in PR China - 2014“.
China’s automotive market has developed rapidly over the last years to become the world’s most important automotive market. One the one hand China has risen to become the largest automobile manufacturer and on the other hand the Chinese automotive market has grown into the largest sales market worldwide. Despite the achieved strong position, China’s automotive industry still features the highest growth potential in the world. Therefore, the current state of the automotive technology in the People’s Republic of China is presented in this study. First, the current situation on the Chinese automotive market is analyzed followed by an analysis of the main domestic and foreign automotive manufacturers. Furthermore, production methods, and research capacities which are utilized by the manufacturers in China are analyzed. Moreover, main development focus areas of the automotive sector in China are presented, including comfort, safety, and sustainability. In the final step, current geographical structures as well as potential changes in the future on the automotive market are illustrated.

[ 3 ] Ruhrmann, S.; Hochdörffer, J. & Lanza, G. (2014), „A methodological approach to evaluate supplier development based on real options“, Production Engineering - Research and Development, Band 3, S. 373-382.
In the last three decades, companies have intensified their global business activities with suppliers and thereby were able to focus on their core competencies. Today, supplier development in low cost countries is of increasing strategic importance due to its high cost-cutting potential; however, especially low cost country sourcing features high decision complexity and challenges due to changing corporate environment. This paper presents a three step approach to include uncertainty and flexibility into the decision making process on supplier development, using real options valuation. First, the procurement object is analysed followed by an analysis of the corporate environment in which dynamic environmental factors and risks are evaluated. In the final step, the real options value of the supplier development project is determined, including market risks and flexibility of action. The methodology of real options valuation is a useful tool for supplier evaluation in a low cost country environment since it provides a gradual increase in prediction quality through a project accompanying evaluation and therefore allows for more reliable planning.

[ 4 ] 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.

[ 5 ] Hochdörffer, J.; Kinkel, S.; Lichtner, R.; Ruhrmann, S. & Bürgin, J. (2015), „Industrial Synergies between Baden-Wuerttemberg and Suzhou Industrial Park“. Auftraggeber: Ministerium für Wissenschaft, Forschung und Kunst Baden-Württemberg (MWK).
The main objective of this research study is to systematically analyze synergies and potentials for future collaborations between industry as well as research and education institutions which are located in Suzhou Industrial Park and the state of Baden-Wuerttemberg. Strengths and weaknesses of these regions are therefore structured in a way to support decision makers such as companies and research institutions in their internationalization strategy towards Baden-Wuerttemberg and China.

[ 6 ] Hochdörffer, J.; Maul, J. & Lanza, G. (2015), „Herstellkosten im Rahmen der Elektromobilität - Konzeptionierung und Anwendung eines stochastischen Prognosemodells“, ZWF - Zeitschrift für wirtschaftlichen Fabrikbetrieb, Band 3, S. 122-125.
Das Marktumfeld der Elektromobilität ist durch Marktunsicherheit und -dynamik geprägt. Vor allem in den frühen Phasen der Produktentstehung sind Herstellkostenprognosen mit einem hohen Grad an Unsicherheit verbunden. Im vorliegenden Beitrag werden deshalb die Konzeptionierung und die Anwendung eines stochastischen Prognosemodells vorgestellt, um bereits zu einem sehr frühen Zeitpunkt eine Kostenabschätzung für die Produktherstellung durchführen zu können.

[ 7 ] Hochdörffer, J.; Henkes, P.; Peters, S. & Lanza, G. (2015), „Modelle zur Vorhersage von Produktionskosten - Stochastische Kostenprognose im Rahmen der Elektromobilität“, wt Werkstattstechnik online, Band 4, S. 238-243.
In frühen Phasen der Produktentstehung sind Informationen häufig mit Unsicherheiten behaftet, dies gilt auch für unreife Technologien im Bereich der Elektromobilität. Der Fachbeitrag stellt ein stochastisches Modell zur Prognose von Produktionskosten vor, das sowohl unsichere Informationen einbezieht als auch Korrelationen zwischen verschiedenen Kostenarten berücksichtigt. Das Modell basiert auf den Grundsätzen der Monte-Carlo-Simulation und passt sich flexibel der gegebenen Datengrundlage an.

[ 8 ] Kinkel, S.; Lichtner, R.; Hochdörffer, J. & Ruhrmann, S. (2015), „Fields and patterns of German companies' operation and collaboration strategies in China“. Proceedings of the 22nd International Annual EurOMA Conference, Hrsg. University of Neuchatel, S. 1-10.
The paper analyses the collaboration and innovation strategies of leading German manufacturing companies in China. The analysis is based on an online-survey of 273 manufacturing companies from Baden-Wuerttemberg and 70 industrial companies from Suzhou. Findings show that innovations play an important role for the Chinese market. The surveyed companies foresee the largest potentials for future collaboration in crucial fields where China envisages huge technical and societal challenges, such as environmental technologies or water systems. Strongest competition persists in crosssectional technologies like advanced manufacturing, where the German companies fear losing their competitive edge.

[ 9 ] Peters, S.; Hochdörffer, J. & Fisel, J. (2015), „Estimating production costs under uncertainty using a prognosis model for stochastic input data “. Technical Presentation, Hrsg. CIRP General Assembly - STC O, S. 1-10.
In the early stages of product development, information is often uncertain, especially when dealing with innovative technologies in the area of electric mobility. This paper presents a stochastic model for the estimation of production costs that allows for taking uncertain information as well as correlations between various cost types into account. The model is based on the principles of Monte Carlo Simulation and is able to flexibly adapt to a given database.

[ 10 ] 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.

[ 11 ] Hochdörffer, J.; Bürgin, J. & Lanza, G. (2015), „Deutsch-chinesische Industriekooperationen - Industrielle Synergien zwischen Baden-Württemberg und dem Suzhou Industrial Park“, Industrie Management, Band 5, S. 57-61.
Baden-Württemberg und der Suzhou Industrial Park gelten als innovative und wirtschaftsstarke Gebiete in Deutschland bzw. in China. Kooperationen zwischen dort ansässigen Unternehmen bieten daher vielversprechende Synergiepotentiale. Durch leitfadenorientierte Interviews mit 25 Experten aus Baden-Württemberg und der Provinz Jiangsu wurden industrielle Synergien identifiziert. Enge Kooperationen werden vor allem von chinesischen Unternehmen angestrebt, um in China in den Wachstumsfeldern Automatisierungstechnik und Umwelttechnik gemeinsame Lösungen anbieten zu können.

[ 12 ] Hochdörffer, J.; Berndt, C. V. & Lanza, G. (2016), „Resource-Based Reconfiguration of Manufacturing Networks Using a Product-to-Plant Allocation Methodology“. Proceedings of the 6th International Conference on Competitive Manufacturing, Hrsg. University of Stellenbosch, S. 511-516.
Given today’s demand for product variants in different market segments, manufacturing companies are facing high degrees of complexity when utilising existing global manufacturing networks. To remain competitive, reallocating production of product variants according to their lifecycle becomes essential in order to use resource capacities more efficiently. Therefore, companies must take into account costs and benefits of standardisation and specialisation of their production facilities to meet long-term corporate goals. An approach for allocating products to plants is sought that addresses the stated matters by allowing for reconfiguration of production networks, determining optimal flexibility levels of production facilities, and taking strategic guidelines into account. In this paper, a resource-based approach is introduced in which product variants and production resources are mapped to production processes in order to determine optimal configurations of the manufacturing network while considering restrictions. The approach will be applied to the final assembly of a large scale products’ manufacturer.

[ 13 ] Colledani, M.; Silipo, L.; Yemane, A.; Lanza, G.; Bürgin, J.; Hochdörffer, J.; Georgoulias, K.; Mourtzis, D.; Bitte, F.; Bernard, A. & Belkadi, F. (2016), „Technology-based Product-services for Supporting Frugal Innovation“. Procedia CIRP 47, Hrsg. Elsevier, S. 126-131.
In recent years, European manufacturing companies are gradually applying innovative PSS (Product Service Systems), as strategic opportunity for differentiating from competitors, offering an integrated bundle of products and services, targeted on specific needs of different customers. At the same time, frugal innovation has also surged as a new business concept based upon an intelligent use of resources to fulfill region-dependent customers’ needs. Both approaches bring forth rethinking of established business models, which in turn asks for an in-depth analysis of the implications on the company organization and infrastructure, at supply chain and plant levels, urging towards manufacturing networks and reconfigurable assembly lines. This paper presents a formalized framework to support product-service design and the related business model characterization, in the context of frugal innovation. The methodology is applied to three real industrial scenarios respectively in the aeronautics, the domestic appliances and the machinery industry, which are analyzed within the framework of the H2020 European funded project ‘ProRegio’.

[ 14 ] Hochdörffer, J.; Pöhler, G.; Deml, B. & Lanza, G. (2016), „Erhebung und Optimierung der Belastungssituation eines Arbeitssystems für eine generationsgerechte Montage“, Zeitschrift für Arbeitswissenschaft, Band 70, Nr. 4, S. 250-258.
Das heutige Arbeitsumfeld in der variantenreichen Serienfertigung ist durch hohe Komplexität der Arbeitsinhalte sowie vielschichtige Anforderungen an die in der Fabrik beschäftigten Menschen geprägt. Insbesondere in der Endmontage hat die Variantenvielfalt des zu montierenden Produktportfolios in den letzten Jahren stark zugenommen, was zu einem erheblichen Anstieg der Komplexität der Arbeitsinhalte geführt hat. Durch die für die Automobilindustrie typische Gestaltung der Endmontage nach dem getakteten Fließprinzip sind mit zunehmender Variantenvielfalt die Anforderungen an die Beschäftigten gestiegen, da variantenabhängige Arbeitsinhalte und die damit verbundenen, schwankenden Auftragszeiten innerhalb einer festen Taktzeit von den Beschäftigten bewältigt werden müssen. Gleichzeitig ist auf Grund demographischer Entwicklungen ein zunehmendes Durchschnittsalter der Erwerbsbevölkerung zu verzeichnen. Dieser demographische Wandel macht sich auch in der Automobilproduktion bemerkbar. Insbesondere die in den etablierten deutschen Montagewerken eingesetzte Stammbelegschaft wird zunehmend älter und heterogener in Bezug auf ihre Einsetzbarkeit und ihre Qualifikation. Um die Leistungsfähigkeit von Industrieunternehmen bei zunehmender Komplexität und fortschreitendem Anteil älterer Arbeitnehmer weiterhin aufrechterhalten zu können, sind Methoden notwendig, die eine adäquate Unterstützung liefern, die beschriebene Komplexität aufzunehmen um alternsgerechte Lösungen zu finden. Der vorliegende Beitrag adressiert die dargestellte Problematik und verfolgt zwei Ziele: (1) Zunächst wird ein Vorgehen beschrieben, mit dem es möglich ist, komplexe Zusammenhänge hinsichtlich der Belastungssituation der Mitarbeiter systematisch und strukturiert zu erfassen. Das Alleinstellungsmerkmal dieser Methode liegt darin, dass eine nachhaltige Darstellung der gesamten betrieblichen Belastungssituation unter Einbeziehung der Mitarbeiter ermöglicht wird. Darauf aufbauend wird (2) eine exemplarische Umsetzung der Optimierung der Belastungssituation in Form einer beanspruchungsoptimierten Personaleinsatzplanung vorgestellt. Das Vorgehen sowie die Methode zur Personaleinsatzplanung wurden in einem Werk zur Automobilendmontage erprobt und tragen dort zur Schaffung eines demographiefesten Arbeitssystems bei, indem ergonomische Aspekte bei der Einsatzplanung berücksichtigt sowie der abwechslungsreiche Einsatz bei Erhaltung der Qualifikation gewährleistet wird.

[ 15 ] 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.

[ 16 ] Hochdörffer, J.; Laule, C. & Lanza, G. (2017), „Product Variety Management Using Data-Mining Methods“. Proceedings of the 2017 International Conference on Industrial Engineering and Engineering Management (IEEM), Hrsg. IEEE, S. 1-5.
In decision making problems regarding production network design, product variety oriented planning of network structures and capacities is indispensable. Due to increasing product variety, related planning tasks have become more complex to account for the significantly varying production requirements of product variants. To create a consolidated and expressive decision basis, a methodology to apply cluster analysis on product portfolios is developed in this paper. The introduced clustering method is able to handle production process-related binary data and production capacity-related metric data simultaneously. By applying this method, the product portfolio is partitioned into clusters so that variants within a cluster have similar requirements regarding production capabilities and capacities. The developed method is applied to two data sets resulting in more efficient and more accurate problem solving in comparison to established clustering methods.

[ 17 ] Hochdörffer, J.; Hedler, M. & Lanza, G. (2018), „Staff scheduling in job rotation environments considering ergonomic aspects and preservation of qualifications“, Journal of Manufacturing Systems, S. 103-114. 10.1016/j.jmsy.2017.11.005
Demographic change is a well-known influencing factor challenging social security systems in industrialized countries. In a manufacturing context, companies need to cope with an increasingly heterogeneous workforce in terms of qualification and impairments, as well as an increasing average age. The development of more standardized processes and the trend to move towards shorter lead times, paired with demographic changes in the workforce, reveal a strong importance of staff planning. A short-term staff planning system which generates job rotation schedules taking into consideration workers’ qualifications, the workplace’s ergonomic exposure, and the most recent allocations of each worker is sought to ensure the right worker is allocated to the right work place at the right time. The arising complexity of such scheduling problems is met in this paper by using a linear programming based heuristic, which solves the scheduling problem gradually for each rotation round and generates a holistic job rotation schedule for an entire workday. The presented approach to short-term staff scheduling is implemented in a VBA-based software prototype and was tested in the final assembly line of a German automotive manufacturer.