Christoph Laroque, Madlene Leißau, Wolfgang Scholl, Germar Schneider • Winter Simulation Conference 2021

The focus on customer orientation as well as on-time production and delivery portray the competitive environment for manufacturing companies in the semiconductor industry. Customer-specific products must be manufactured due to specified lead times and according to promised delivery dates. In this context, questions as to whether the production target is feasible and if all previously promised delivery dates will be met are often answered with backward-oriented planning approaches without taking into consideration any uncertainty or alternatives, that arise during operations. Regarding complex manufacturing systems (here semiconductor with re-entry cycles), these questions can be answered in a more detailed and robust by a discrete event-based simulation (DES) approach used in a backward-oriented manner. Research results show that the taken approach can be applied successfully for the scheduling of customer-specific orders in a real-world setting.

ResearchGate

Christoph Laroque, Pedro Copado, Javier Panadero, Madlene Leißau, Christin Schumacher, Angel A. Juan • Winter Simulation Conference 2021

Based on a real-life use-case, this paper discusses a manufacturing scenario where different jobs be processed by a series of machines. Depending on its type, each job must follow a pre-defined route in the hybrid flow shop, where the aggregation of jobs in batches might be required at several points of a route. This process can be modeled as a hybrid flow shop problem with several additional but realistic restrictions. The objective is to find a good permutation of jobs (solution) that minimizes the makespan. Discrete-event simulation can be used to obtain the makespan value associated with any given permutation. However, to obtain high-quality solutions to the problem, simulation needs to be combined with an optimization component, e.g., a discrete-event heuristic. The proposed approach can find solutions that significantly outperform those provided by employing simulation only and can easily be extended to a simheuristic to account for random processing times.

ResearchGate

Madlene Leißau, Sven Hellbach, Christoph Laroque • 20th European Conference on E-Learning, Berlin

Digitalisation in education is inevitable and must be driven forward even more consistently. Accordingly, the current COVID 19 pandemic further underlines and accelerates this necessity. Instead of persistently philosophising about infrastructure and learning platforms, teachers and students are suddenly confronted directly with digital teaching and e-learning. Among technologies for digitalization there is one with a huge potential in the course of digitalisation in education, namely Virtual Reality (VR). VR can be applied as a powerful and multifunctional tool for accessing problems usually considered as hard to taggle. For education, VR can create a connection between abstract theory and real-world scenarios and makes the presentation of facts and applications tangible for students. In addition to a theoretical and literature-based consideration of VR in the concepts of e-learning and blended learning, this paper presents the integration of learning content based on VR through the LMS platform OPAL and discusses the achieved results. Linking to this, an additional chapter will discuss the promotion of the learning process through an immersive learning environment, i.e., what opportunities and challenges arise. The idea and implementation of a virtual research lab modelled based on the physical Industry 4.0 research lab by Professor Christoph Laroque and his Team Industry Analytics is intended to highlight the possibilities and potential of an immersive environment and provide an outlook for future work. This paper addresses the questions to what extent and in which context an immersive learning environment can be more effective than traditional face-to-face learning environments in courses and seminars. Furthermore, challenges and difficulties regarding the use of immersive learning environments from the projects experience will be described. Thoughts and ideas on how these challenges and difficulties can be overcome sum up the considerations within this paper.

ResearchGate

Christoph Laroque, Madlene Leißau, Wolfgang Scholl, Germar Schneider • 19. ASIM Fachtagung Simulation in Produktion und Logistik, Erlangen

The focus on customer orientation and on-time production as well as delivery characterise the competitive environment for manufacturing companies. Customer-specific products must be manufactured and delivered in specified lead times, according to promised delivery dates. In this context, questions as to whether the production programme is feasible and whether all previously promised delivery dates will be met are often answered with backward-oriented planning approaches without taking into consideration any uncertainty or alternatives, that arise during operations. Regarding complex manufacturing systems (here semiconductors with re-entry cycles), these questions can be answered in a more detailed and robust manner by a discrete event-based simulation (DES) approach used in a backward-oriented manner. Research results show that the taken approach can be applied successfully for the scheduling of customer-specific orders in a real-world setting.

ResearchGate

Anna-Maria Nitsche, Olga Matthias, Christoph Laroque, Christian-Andreas Schumann • British Academy of Management Annual Conference (BAM)

This paper presents the further development of the Technological and Organisational Coherence Implementation (TOCI) model as a process framework developed for the implementation and assessment of innovative technologies in manufacturing organisations and supply chain management processes. To counteract the fast pace of technological development presents to manufacturing, operations and supply chain management, organisations seek innovative technological solutions to increase competitiveness and achieve more efficient and sustainable processes. However, questions regarding the multi-dimensional readiness required within this context are often excluded from the technology implementation process. Thus, in the age of digital transformation, manufacturing organisations and supply chains face an apparent disconnection between the technological development and other dimensions of readiness. This paper advances the TOCI model to present a three-dimensional perspective on technology implementation processes. TOCI³ thus addresses the dimensions of technological, organisational and innovation readiness to provide greater operational coherence between technological capability, organisational requirements, and innovation capacity.

ResearchGate

Anna-Maria Nitsche, Wibke Kusturica, Denis Neumann, Christian-Andreas Schumann, Christoph Laroque • CIRP CMS 2022, Lugano (Switzerland)

Supply chain management (SCM) has undergone a transformation since its origins in the 1990s as ecological considerations have influenced SCM goals in recent years. This systematic literature review of a preliminary sample of 2,471 publications aims to show how target design has changed over time. Methodology: The systematic literature review is based on Tranfield et al. (2003) and Denyer and Tranfield (2009). Following extraction from the Scopus database and multiple screenings, the top 100 academic publications with the highest yearly average citations from the periods 1996 to 2000 and 2016 to 2020 are included in the analysis. Findings: To highlight similarities and differences, the current and initial goals of SCM are assigned to one of the sustainability dimensions: ecological, economic, social. By comparing the publications at the time of the initial emergence of SCM and the current period, a significant shift in the main objectives of SCM could be derived. Originality: This compact structured analysis and discussion of the change in SCM objectives helps to comprehend past developments, to understand current challenges, and to assess future trends. Furthermore, the comparison of the two periods provides a unique perspective on the development of the research field of SCM.

ResearchGate

Olga Matthias, Anna-Maria Nitsche, Christian-Andreas Schumann, Christoph Laroque • Data Science anwenden

Dieses Kapitel befasst sich mit den durch die digitale Transformation hervorgerufenen Veränderungen, die Unternehmen mit intensiverem Wettbewerb, Leistungsdruck und wachsenden Kundenanforderungen konfrontieren. Das Streben nach gesteigerter Wettbewerbsfähigkeit und Effizienz findet vor allem in der Implementierung (innovativer) technologischer Lösungen und der zunehmend durch Automatisierung und Datenanalyse bestimmten Entscheidungsprozesse Ausdruck. Die vorgestellte Methode, das TOCI-Modell (Technological and Organisational Coherence Implementation), wurde speziell für die Implementierung innovativer Technologien in der Unternehmenspraxis entwickelt. Die Methode berücksichtigt die Kohärenz vielfältiger Faktoren, einschließlich der erforderlichen Änderungen der organisatorischen Entscheidungsunterstützungsprozesse. Das TOCI-Modell wurde basierend auf bekannten Modellen aus der akademischen Literatur, wie dem Technologieakzeptanzmodell, der agilen Prozessmanagementmethode Scrum, dem CRISP-DM-Prozessmodell und dem Stage-Gate-Modell entwickelt. Darüber hinaus werden sozio-technische Systemmethoden und Erkenntnisse aus der Theorie des situativen Führens eingebunden.

ResearchGate