Alexander Arndt

Effiziente Fabrik 4.0: Einzug von Industrie 4.0 in bestehende Produktionssysteme

Kurzfassung Zentrale Herausforderungen der Leitmarktperspektive der dualen Strategie des Zukunftsprojekts Industrie 4.0 sind die Vernetzung der zumeist bestehenden Produktionssysteme sowie die Sensibilisierung von insbesondere kleinen und mittelständischen Unternehmen. In diesem Beitrag wird das Forschungsprojekt „Effiziente Fabrik 4.0“ vorgestellt. In dessen Rahmen werden bereits realisierte Good Practice-Beispiele analysiert sowie anschauliche Umsetzungskonzepte zur Realisierung in der Prozesslernfabrik CiP aufgezeigt.

Effiziente Fabrik 4.0 Darmstadt – Industrie 4.0 Implementierung für die mittelständige Industrie

Industrie 4.0 ist fur Unternehmen der produzierenden Industrie zu einem bedeutenden Erfolgsfaktor geworden. Zu einer zunehmenden Verbreitung sind Musterfabriken als Demonstratoren ein wichtiger Beitrag. Genau hier setzt die Effiziente Fabrik 4.0 der Technischen Universitat Darmstadt an und zeigt umsetzbare Losungen fur die Einfuhrung von Industrie 4.0 in die industrielle Praxis auf. Damit leistet sie einen wertvollen Beitrag zur Steigerung der Wettbewerbsfahigkeit der Fertigungsindustrie.

Employee Data Model for Flexible and Intelligent Assistance Systems in Smart Factories

By implementing solutions and approaches of the Industrie 4.0 the role of employee’s in-house production environments underlie a significant change. This paper begins with an introduction and basics about Industrie 4.0 and the research project “Effiziente Fabrik 4.0”. Thereafter requirements for the employee data model are presented for use in intelligent and flexible worker assistance systems. Then a concept for the employee data model is developed and described by using Unified Modeling Language (UML). The model consists of various partial models, including a newly developed qualification matrix. These partial models are all presented. Based on this, there will be a prototypical implementation of the employee data model. Thus the employee and his supervisor, for example, for human resources planning, the necessary information is always at hand ready on a tablet. Finally, an outlook on further work is given.

Efficient Factory 4.0 Darmstadt—Industrie 4.0 Implementation for Midsize Industry

Industrie 4.0 has become a significant factor for success to companies in the manufacturing industry. Model factories as demonstrators are contributing greatly to its increasing prevalence. It is precisely here that the Efficient Factory 4.0 of the Technical University of Darmstadt begins its approach, demonstrating feasible solutions for the introduction of Industrie 4.0 into everyday industrial practice. It is thus a valuable aid in increasing the competitiveness of the manufacturing industry.

Automatisierung in der kundenindividuellen Additiven Serienfertigung

Das Projekt „autoADD“ umfasst den Aufbau und die Implementierung einer digitalen, automatisierten und durchgangigen Prozesskette zur kundenindividuellen Additiven Fertigung (selektives Lasersintern). Diese demonstriert die gesamte Prozesskette vom Eingang von Kundenauftragen, uber die rechnerinterne Verarbeitung dieser Auftrage und das Pre-Processing von CAD-Daten zur Fertigungsvorbereitung uber die Fertigung und das Post-Processing, bis hin zum Vertrieb der additiv gefertigten Bauteile. Um das ubergeordnete Projektziel zu erreichen, sind die Zielstellungen dabei: Reduktion von Medienbruchen, Effektivitatssteigerung in der kundenindividuellen Auftragsbearbeitung durch Automatisierung und Einfuhrung einer papierlosen, digitalen und integrierten Qualitatssicherung sowie Nachverfolgung von kundenindividuellen Auftragen.

Guideline for the Implementation of Human-Oriented Assistance Systems in Smart Factories

The present paper presents a guideline for the implementation of employee data models and assistance systems. The present implementation guideline was developed as part of the “Effiziente Fabrik 4.0” project, which was launched at TU Darmstadt. The guideline developed in this paper provides an orientation and basis for the company-internal discussion during the introduction of new assistance systems in assembly. Particular attention is given to communication with employee representatives. The central goal of this implementation concept is to provide the employees with the help of a socio-technical design approach using Industrie 4.0. The advantages and opportunities include, in particular, the flexibilisation of the work, the computerization of the workplace, the competence development of the employees and the assistance of the employees. The proposed paper presents a methodology for the company-specific implementation of flexible intelligent workplace assistance systems. The paper is based on [1].

Workforce Management 4.0 - Assessment of Human Factors Readiness Towards Digital Manufacturing

Industrie 4.0 describes the vision of future production influenced by digitalization. Despite the increasing degree of automation, human factors will still play an important role in order to facilitate a highly flexible production process. This places new requirements on the workforce through new technologies, organizational forms, and workflows. Workforce management needs to consider new competencies required by digitalization and Industrie 4.0. The increasing trend towards the development of assistance systems should be accompanied by the training of workers on the shopfloor for the interaction with and handling of these systems. This paper presents the Toolbox Workforce Management 4.0 for assessing the readiness of human factors and work environments towards the digital manufacturing. The defined application fields and development stages in each category of the toolbox help to characterize the current state of a company in regards to the human factors requirements and subsequently identify categories where actions are required to maximize the benefits of Industrie 4.0.