@misc{12795, abstract = {{Including disabled workers in value-creating work processes is a fundamental and guaranteed human right and is, therefore, an essential goal of society. In Germany, sheltered workshops create the conditions for this inclusion since they are essential to companies' value chains. A central challenge is the inclusion of disabled workers in the value-creation processes, such as in manufacturing or assembly areas. The skills of disabled workers vary since they have individual impairments. Therefore, this paper presents a digital human model, a Human Digital Twin (HDT), for disabled workers. The model maps their skills and supports the production planning and assembly processes. (C) 2024 The Authors. Published by Elsevier B.V.}}, author = {{Mordaschew, Viktoria and Duckwitz, Sönke and Tackenberg, Sven}}, booktitle = {{5th International Conference on Industry 4.0 and Smart Manufacturing (ISM)}}, editor = {{Longo, F. and Shen, W. and Padovano, A.}}, issn = {{1877-0509}}, keywords = {{Human Digital Twin, Industry 4.0, Sheltered Workshops, Production Planning}}, location = {{Lisbon, PORTUGAL}}, pages = {{745--751}}, publisher = {{Elsevier BV}}, title = {{{A Human Digital Twin of Disabled Workers for Production Planning}}}, doi = {{10.1016/j.procs.2024.01.074}}, volume = {{232}}, year = {{2024}}, } @misc{7147, abstract = {{Purpose: Industry 4.0 technologies influence how production is planned, scheduled, and controlled. In literature, different classifications of the tasks and functions of production planning and control (PPC) exist, of which one is the German Aachen PPC model. This research aims to identify and classify current Industry 4.0 approaches for planning and controlling production processes and to reveal researched and unexplored areas of the model. Design/methodology/approach: In an exploratory literature review, we review and classify 48 publications on a full-text basis with the Aachen PPC model's tasks and functions. Two cluster analyses reveal researched and unexplored tasks and functions of the Aachen PPC model. Additionally, we give a summary of each reviewed publication. Findings: We propose a cyber-physical PPC architecture, which incorporates current Industry 4.0 technologies, current optimization methods, optimization objectives, and disturbances relevant for realizing a PPC system in a smart factory. Current approaches focus on the in-house PPC, particularly on the control using real-time information from the shop floor. We propose future research directions for the unexplored tasks and functions of the Aachen PPC model. Research limitations/implications: The selection of search terms and the texts' interpretation is based on an individual assessment. The revelation of unexplored tasks and functions of the Aachen PPC model might have a different outcome if the search term combination is parameterized differently. Originality/value: Using the Aachen PPC model, which holistically models PPC, the findings give comprehensive insights into the current advances of tools, methods, and challenges relevant to planning and controlling production processes under Industry 4.0.}}, author = {{Herrmann, Jan-Phillip and Tackenberg, Sven and Padoano, Elio and Gamber, Thilo}}, booktitle = {{Journal of Industrial Engineering and Management}}, issn = {{2013-0953}}, keywords = {{Production planning and control, Industry 4.0, Industrial Internet of Things, Exploratory literature review}}, number = {{1}}, publisher = {{ OmniaScience}}, title = {{{Approaches of production planning and control under industry 4.0: A literature review}}}, doi = {{http://dx.doi.org/10.3926/jiem.3582}}, volume = {{15}}, year = {{2022}}, } @article{7033, abstract = {{Industry 4.0 technologies influence how production is planned, scheduled, and controlled. In literature, different classifications of the tasks and functions of production planning and control (PPC) exist, of which one is the German Aachen PPC model. This paper conducts an exploratory literature review by reviewing 48 publications on a full-text basis. Based on the review, a cyber-physical PPC architecture is proposed, which incorporates current Industry 4.0 technologies, current optimisation methods, optimisation objectives, and disturbances, relevant for the realisation of a PPC system in a smart factory. A classification scheme is developed as a basis for two cluster analyses that reveal researched and unexplored tasks and functions of the Aachen PPC model. Current approaches focus on the in-house PPC, particularly on the control using real-time information from the shop floor. Future research directions are proposed for the unexplored tasks and functions of the Aachen PPC model.}}, author = {{Herrmann, Jan-Phillip and Tackenberg, Sven and Padoano, Elio and Gamber, Thilo}}, issn = {{1877-0509}}, journal = {{Procedia Computer Science}}, keywords = {{Production planning, control, Industry 4.0, Industrial Internet of Things, Exploratory literature review}}, pages = {{208--218}}, publisher = {{Elsevier}}, title = {{{A literature review and cluster analysis of the Aachen production planning and control model under Industry 4.0}}}, doi = {{10.1016/j.procs.2021.01.158}}, volume = {{180}}, year = {{2021}}, } @inproceedings{486, abstract = {{Growing market demands on enterprises and the resulting challenges for their organization have been discussed for many years now. The flexibilty and mutability of an enterprise are thereby considered as a significant factor for success.}}, author = {{Zülch, Gert and Gamber, Thilo Gerhard and Stock, Patricia}}, booktitle = {{Advances in Production Management Systems}}, editor = {{Olhager, Jan and Persson, Fredrik}}, isbn = {{978-0-387-74157-4}}, keywords = {{production planning and control, decision-making system, personnel-oriented simulation}}, location = {{Linköping}}, pages = {{337--344}}, publisher = {{Springer}}, title = {{{Methodology for the Analysis of Simulation-Based Decision-Making in the Manufacturing Area}}}, year = {{2007}}, }