Agile Product Development Using Additive Manufacturing

An Approach for a Better Customer Orientation in Product Development

Philipp Blattert, Rouven Müller, Werner Engeln
JournalIndustrie 4.0 Management
Issue Volume 36, 2020, Edition 4, Pages 59-62
Open Accesshttps://doi.org/10.30844/I40M_20-4_S59-62
Bibliography Share Cite Download

Abstract

The increasing complexity forces industrial companies to look for new strategies for a future-proof product development. One approach to this is agile approaches in product development in combination with additive manufacturing processes. Physical product increments can thus be produced during sprints and analyzed and improved directly with customers. This improves the product understanding of the development team and customers. The benefits are shorter development times, better customer orientation of the products and a lower project risk.

Keywords

,

Bibliography

[1] Scheller, T.: Auf dem Weg zur agilen Organisation. Wie Sie Ihr Unternehmen dynamischer, flexibler und leistungsfähiger gestalten. München 2017.
[2] Sidky, A.: The secret to achieving sustainable Agility at scale. URL: https://de.slideshare.net/AgileNZ/ahmed-sidky-keynote-agilenz, Abrufdatum 03.02.2020.
[3] Beck, K.; Beedle, M.; Van Bennekum, A.; Cockburn, A.; Cunningham, W.; Fowler, M.; Grenning, J.; Highsmith, J.; Hunt, A.; Jeffries, R.; Kern, J.; Marick, B.; Martin, R. C.; Mellor, S.; Schwaber, K.; Sutherland, J.; Thomas, D.: Manifest für Agile Softwareentwicklung. URL: https://agilemanifesto.org/ iso/de/manifesto.html, Abrufdatum 28.02.2020.
[4] Atzberger, A.; Bleckmann, M.; Holtmannspötter, J.; Montero, J.; Paetzold, K.; Schmidt, T. S.: Anwendung agiler Entwicklungsprinzipien für die Herstellung von Ersatzteilen mit additiven Fertigungsverfahren. In: Kaierle, S.; Lachmayer, R.; Lippert, R. B. (Hrsg): Konstruktion für die Additive Fertigung 2018. Ber-

lin 2019.
[5] Munz, O. J.: Photo-glyph recording. 25.05.1951. Veröffentlichungsnr.: US 2.775.758A.
[6] VDI 3405, 2014-12-00: Additive Fertigungsverfahren – Grundlagen, Begriffe, Verfahrensbeschreibung.
[7] Breuninger, J.; Becker, R.;

Wolf, A.; Rommel, S.; Verl, A.: Generative Fertigung mit Kunststoffen. Konzeption und Konstruktion für Selektives Lasersintern. Berlin Heidelberg 2013.
[8] Lachmayer, R.; Lippert, R. B.; Fahlbusch, T. (Hrsg): 3D-Druck beleuchtet. Additive Manufacturing auf dem Weg in die Anwendung. Berlin Heidelberg 2016.
[9] Gebhard, A.; Kessler, J.; Schwarz, A.: Produktgestaltung für die Additive Fertigung; München 2019
[10] Binczek, N.; Jäger, L.; Linz, E.; Schäfer, A. (Hrsg): 3D-Druck. Sprache und Literatur 46 (115/116). Paderborn 2015.
[11] AMPOWER Report on Metal Additive Manufacturing Market (2020.000Z). Online verfügbar unter https://additive-manufacturing-report. com/, zuletzt aktualisiert am 18.05.2020.000Z, zuletzt geprüft am 18.05.2020.

Your downloads


Solutions: Product Development

You might also be interested in

AI-Driven Organization as a New Work Paradigm

AI-Driven Organization as a New Work Paradigm

Implications for individual and organizational change
Wolfgang Beinhauer, Josephine Hofmann, Leonie Krauch, Katharina Morsch, Carsten Schmidt
Is it sufficient to train employees in the use of AI tools, or does the AI organization require an entirely new set of competencies? This paper introduces a digital enablement model comprising three competency dimensions and demonstrates, through an upskilling program implemented at the Fraunhofer Institute for Industrial Engineering IAO, how organizations can sustainably bridge the AI adoption gap.
Industry 4.0 Science | Volume 44 | 2026 | Edition 5 | Pages 94-100
Designing Effective AI Certification

Designing Effective AI Certification

Insights from established certification domains for the standardization of human-centered AI
Katharina Morsch
Certification for human-centered AI is becoming increasingly important—as a source of competitive differentiation, a response to regulatory expectations, and a mechanism for fostering human-centered work environments. But how can organizations determine whether the underlying requirements are truly embedded in practice? Drawing on expert interviews from established certification domains, this paper shows that the decisive question is answered not during the audit itself, but in the period between audit cycles. Ultimately, it is not the certificate that matters, but the commitment of organizational leadership and the organization as a whole to engage seriously in the certification process and its continuous implementation.
Industry 4.0 Science | Volume 44 | 2026 | Edition 5 | Pages 86-92 | DOI 10.30844/I4SE.26.4.8
Data-Driven Supplier Selection in Industry 4.0

Data-Driven Supplier Selection in Industry 4.0

Towards an industrial platform for selection and configuration
Purushothaman Ganesh ORCID Icon, Baris E. Albayrak ORCID Icon, Jörg Franke ORCID Icon, Till Sindel ORCID Icon, Jens Fürst, Sebastian Lang ORCID Icon
Industrial supply chains must repeatedly reconfigure sourcing strategies in response to disruptions, yet supplier capability information remains heterogeneous and difficult to operationalize. Existing research addresses supplier selection, simulation, and interoperability standards separately, treating discovery, evaluation, and optimization as disconnected steps requiring manual data transformation. This paper presents a framework for a data-driven industrial platform integrating three components: Asset Administration Shell-based supplier profiles structured by an Actor-Service ontology for semantic discovery, automatic discrete-event simulation model generation from layout data for performance evaluation, and KPI-driven configuration using optimization algorithms. The main contributions are an end-to-end interoperable workflow, a two-tier supplier profile concept separating semantic descriptions from simulation parameters, and a standardized KPI interface maintaining consistency ...
Industry 4.0 Science | Volume 42 | 2026 | Edition 4 | Pages 50-61 | DOI 10.30844/I4SE.26.4.6
Open Source as Enabler for Smart Data Ecosystems

Open Source as Enabler for Smart Data Ecosystems

How collaboration shapes sovereignty and interoperability across industrial applications
Anna Maria Schleimer ORCID Icon, Julia Pampus ORCID Icon
From automotive supply chains to smart factories, data ecosystems promise seamless collaboration across company boundaries. But how can industries build the necessary infrastructure without creating new dependencies? This article explores how open-source software can serve as a foundation and impactful tool for sovereign, interoperable technologies and standards. Yet, open-source software is not a silver bullet; rather, it poses challenges for digital sovereignty in burgeoning data ecosystems.
Industry 4.0 Science | Volume 42 | 2026 | Edition 4 | Pages 6-13 | DOI 10.30844/I4SE.26.4.1
From Private Law to Private Ordering

From Private Law to Private Ordering

Rule-making through industrial digital platforms
Pia C. Romeike, Frederik Bär
Industrial digital platforms are considered the driving force behind digital value creation, yet legally they largely operate in a gray area. This article examines what defines industrial digital platforms and what legal framework applies to them. Existing platform regulations apply only to a limited extent to industrial digital platforms, which is why these platforms often establish their own legal framework through their terms and conditions. The article also explores the implications of European regulation, power asymmetries, and the opportunities and limitations of private regulation.
Industry 4.0 Science | Volume 42 | 2026 | Edition 4 | Pages 98-105 | DOI 10.30844/I4SD.26.4.11
Industry 4.0—Progress and Digitalization in Limbo

Industry 4.0—Progress and Digitalization in Limbo

Status of sustainable transformation and digitalization in production engineering
Christian Donhauser ORCID Icon, Daniel Riepl
Digitalization projects help users represent complex processes more simply and efficiently. However, there are many obstacles to implementation. Reluctance to implement these projects is palpable. This affects, among others, employers and employees, who may fall behind economically by waiting or avoiding change. These observations can be traced back to an overarching research question: What barriers and systemic challenges hinder sustainable transformation within the context of Industry 4.0, particularly when considering human labor in production engineering? What questions are the affected stakeholders asking? The primary goal of this long-term research project is to define these questions decisively and in detail in order to develop a conceptual foundation that integrates research, teaching, and technological development and thus combines the potential of digital technologies with the experiential and practical knowledge of production workers.
Industry 4.0 Science | Volume 42 | 2026 | Edition 3 | Pages 56-60
Christoph Brocks