Gestaltungsmodell zur lernunterstützenden Erweiterung von Produktionsplanungs- und -steuerungssystemen

• Design model for the learning supporting enhancement of production planning and control systems

Bach, Jan-Thies; Schuh, Günther (Thesis advisor); Stich, Volker (Thesis advisor)

1. Auflage. - Aachen : Apprimus Verlag (2022, 2023)
Book, Dissertation / PhD Thesis

In: Schriftenreihe Rationalisierung 185
Page(s)/Article-Nr.: 1 Online-Ressource : Illustrationen, Diagramme

Dissertation, RWTH Aachen University, 2022

Abstract

Against the backdrop of Industrie 4.0, both potentials and changes result for production planning and control (s. DOMBROWSKI ET AL. 2018, S. 204; s. NYHUIS ET AL. 2017a, S. 31-50). The goal of this work is therefore to provide a contribution to the systematic investigation of the tasks and processes of production planning and control in the context of Industrie 4.0. The main focus is especially on the role of humans in this context.For this purpose, a description model for the tasks of production planning and control is developed in the first place. The task-reference-view of the Aachen PPC-Modell forms thereby the framework of the description model. Based on this, characteristics and characteristic attributes for the description of production planning and control are identified and described. Afterwards, a maturity model for production planning and control is developed, which is based on the ‚acatech Industrie 4.0 Maturity Index‘. Following the derivation of the maturity levels, the previously identified and described characteristic attributes are assigned to the maturity levels. This is followed by the development of a maturity level based reference model for the processes of production planning and control with special consideration of the allocation of tasks between human and application system. The reference model allows an explanation of the tasks of the employees and the application systems at the previously defined maturity levels. Existing production planning and control systems have deficits in terms of their userfriendliness (s. MUNDT ET AL. 2020, S. 26). In addition, employees have little confidence in the functionality of PPC-systems (s. MUNDT ET AL. 2020, S. 31). Given this, a design model for learning supporting applications for production planning and control systems is developed in this work for tailor-made support for humans in production planning and control. For this purpose, a description model for the tasks of production planning and control is developed fields of usage for apps as a supplement to existing application systems are shown in the context of the internet of production in the first place. Afterwards, the design model for learning supporting applications for production planning and control systems is devolved, which enables tailor-made support for humans in production planning and control.

Institutions

• Laboratory for Machine Tools and Production Engineering (WZL) of RWTH Aachen University [417200]
• Chair of Production Engineering [417210]