Product Production Complexity Research: Developments and Opportunities

Schuh, Günther; Rudolf, Stefan; Riesener, Michael; Dölle, Christian; Schloesser, Sebastian

doi:10.1016/j.procir.2017.01.006

Cited by 21 publications

(4 citation statements)

References 4 publications

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“…However, the 'connective' aspect of digital technologies offers the potential to challenge the above techno-centric stance. Indeed, digital technologies, while aiming to encompass the whole product's lifecycle (Wang et al 2016), are pushing for a higher level of interconnection among systems within an organization (Schuh et al 2017). Even more so, digital platforms are pushing and supporting horizontal integration (Frank et al, 2020), in order to ensure exchange of real-time information on production orders with suppliers and distribution centers (Pfohl et al 2017), and to reach customers by tracking product delivery (Pfohl et al 2017).…”

Section: How Digital Technology Are Expanding the Work System Boundar...mentioning

confidence: 99%

“…Thereby, new work systems are being configured around a network of digital platforms into which algorithms and routines are built for coordination, artificial intelligence and machine learning, and advanced analytic capabilities (Wang et al 2016). Hence, digital transformation is pushing integration between the social and the technical as well as integration of the firm with its ecosystem, such as suppliers and customers (Schuh et al 2017). Thereby, many authors, among whom Hirsch-Kreinsen (2016) and Parker and Grote (2019), have seen a greater opportunity for creating symmetry between people, work, and technology systems, which is also a renewed opportunity for socio-technical joint optimization.…”

Section: Introductionmentioning

confidence: 99%

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Adopting an Ecosystem Approach to Digitalization-driven Organizational Change ? Actionable Knowledge from a Collaborative Project

Shaba

Canterino

Gilardi

et al. 2023

Syst Pract Action Res

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A vibrant debate has emerged on the opportunities of digitalization for ‘humanizing’ work versus substitution or deskilling effects. Recognizing the processes of designing digitalized organizations as crucial for predicting the outcome of digitalization on workers and labor, extant research has developed an evolutionary ecosystem socio-technical (STS) perspective aimed at designing more human organizations in light of digital transformation. In this study we build upon the STS ecosystem analytical framework by Winby and Mohrman (2018), aiming to explore how the STS design principles, as proposed by said authors, are applied in three big manufacturing companies, in light of digitalization. Data collected through qualitative techniques has been analyzed abductively. Findings provide a detailed overview of how the STS ecosystem design principles are operationalized, and shed novel light on applied design methods, such as ‘agile’ and ‘design thinking’, able to support interconnection among systems, in a never-ending and iterative process. This study extends the existing ecosystem STS organization design conceptual model by exploring ‘how’ we change, ‘who’ the change is for, while also investigating ‘what’ this means for the hitherto conceptualized STS work-system. Implication for management practice and ODC scholarship are also discussed.

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Section: How Digital Technology Are Expanding the Work System Boundar...mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Adopting an Ecosystem Approach to Digitalization-driven Organizational Change ? Actionable Knowledge from a Collaborative Project

Shaba

Canterino

Gilardi

et al. 2023

Syst Pract Action Res

View full text Add to dashboard Cite

show abstract

“…Research and practice constantly discuss complexity issues in terms of flexibility, performance, and, particularly, costs (Hansen et al, 2012;Bliss, 2000;Schuh et al, 2017;Ameri et al, 2008). Unfortunately, there is very little known of decision-makers' perceptions of complexity costs.…”

Section: The Need To Recognize Complexity Costsmentioning

confidence: 99%

Reviewing Complexity Costs – What Practice Needs and What Research Contributes

Meßerschmidt

Gumpinger²,

Meyer

et al. 2020

Proc. Des. Soc.: Des. Conf.

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Introducing more customized products causes complexity costs, which are hard to estimate and measure. Researchers and practitioners have therefore developed approaches to measure these costs. This paper reviews the current approaches and reveals a lack of a holistic view on the underlying problem and, hence, deficits to certain economic questions. We therefore suggest using the Extended Axiomatic Design (EAD) framework as an interdisciplinary model that adresses the economic consequences of variety-induced complexity.

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“…The efforts of working on these solutions must be synchronized with the strategy of "balancing openness and knowledge transfer", which is relevant in science communication, technology transfer, research data management, and further publication mediums. In particular, the grade of openness is directly driven by the community, i.e., the specific type of product that is produced and the company's position in a supply chain (e.g., OEM or supplier) [100].…”

Section: B Driving the Willingness Of Real-world Usementioning

confidence: 99%

Collaboration is not Evil: A Systematic Look at Security Research for Industrial Use

Pennekamp¹,

Buchholz²,

Dahlmanns³

et al. 2020

Proceedings 2020 Learning From Authoritative Security Experiment Results Workshop

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Following the recent Internet of Things-induced trends on digitization in general, industrial applications will further evolve as well. With a focus on the domains of manufacturing and production, the Internet of Production pursues the vision of a digitized, globally interconnected, yet secure environment by establishing a distributed knowledge base. Background. As part of our collaborative research of advancing the scope of industrial applications through cybersecurity and privacy, we identified a set of common challenges and pitfalls that surface in such applied interdisciplinary collaborations. Aim. Our goal with this paper is to support researchers in the emerging field of cybersecurity in industrial settings by formalizing our experiences as reference for other research efforts, in industry and academia alike. Method. Based on our experience, we derived a process cycle of performing such interdisciplinary research, from the initial idea to the eventual dissemination and paper writing. This presented methodology strives to successfully bootstrap further research and to encourage further work in this emerging area. Results. Apart from our newly proposed process cycle, we report on our experiences and conduct a case study applying this methodology, raising awareness for challenges in cybersecurity research for industrial applications. We further detail the interplay between our process cycle and the data lifecycle in applied research data management. Finally, we augment our discussion with an industrial as well as an academic view on this research area and highlight that both areas still have to overcome significant challenges to sustainably and securely advance industrial applications. Conclusions. With our proposed process cycle for interdisciplinary research in the intersection of cybersecurity and industrial application, we provide a foundation for further research. We look forward to promising research initiatives, projects, and directions that emerge based on our methodological work.

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Product Production Complexity Research: Developments and Opportunities

Cited by 21 publications

References 4 publications

Adopting an Ecosystem Approach to Digitalization-driven Organizational Change ? Actionable Knowledge from a Collaborative Project

Adopting an Ecosystem Approach to Digitalization-driven Organizational Change ? Actionable Knowledge from a Collaborative Project

Reviewing Complexity Costs – What Practice Needs and What Research Contributes

Collaboration is not Evil: A Systematic Look at Security Research for Industrial Use

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