Process Management

Cognitive Assistance Systems in Intralogistics

Cognitive Assistance Systems in Intralogistics

User studies with augmented reality and an AI chatbot
Hendrik Stern ORCID Icon, Michael Freitag ORCID Icon
Assistance systems improve work processes, shorten learning times and increase flexibility in the workplace. Human-centered, resilient and sustainable production approaches where user acceptance is of the utmost importance play a crucial role in the digitized Industry 5.0. Two user studies investigate how useful the support of technologies like augmented reality and AI chat actually is. In the context of cognitive assistance systems in intralogistics, artificial intelligence and augmented reality have a great potential and can contribute to an improvement in process performance. The usability of these systems in terms of human-centricity of Industry 5.0 is crucial. This article describes the results and findings of two user studies conducted in the laboratory for intralogistics work processes (picking and packing). The assistance systems used were evaluated using the System Usability Scale.   Cognitive assistance systems in intralogistics Assistance systems make a ...
Industry 4.0 Science | Volume 40 | 2024 | Edition 5 | Pages 67-72 | DOI 10.30844/I4SE.24.5.66
Modeling of Robust Processes

Modeling of Robust Processes

Requirements for process modeling
Annika Lange ORCID Icon, Thomas Knothe ORCID Icon
In order to withstand disruptions manufacturing companies need to improve their robustness. In the past only infrastructures and resources were considered in the context of robustness, neglecting the interconnectedness of processes. However, a consideration of processes in the context of robustness is highly relevant. Process modeling is used for the design and analysis of processes. This paper describes the requirements for modeling methodology and evaluates existing approaches. (Only in German)
Industrie 4.0 Management | Volume 39 | 2023 | Edition 5 | Pages 62-65
Optimization of Line Feeding Strategy for the Assembly Line

Optimization of Line Feeding Strategy for the Assembly Line

A holistic approach for improving the intralogistics in production industry
Christina Braun, Lea Isfort
The logistics industry offers numerous opportunities for data-driven solutions, such as improving the part feeding problem in assembly line industries. A data-based approach for will lead to an improvement of cost-effectiveness through optimized processes, resource utilization, and consistent supply to the assembly line. The generated approach is a mixed integer programming model which considers limited storage space, uses constraints, and various cost factors related to transport, replenishment, and picking.
Industrie 4.0 Management | Volume 39 | 2023 | Edition 5 | Pages 58-61
Process Modeling: Practice-Oriented and Methodologically Founded

Process Modeling: Practice-Oriented and Methodologically Founded

Jörg Becker ORCID Icon, Florian Schmolke ORCID Icon
Changes in the economic environment always generate new challenges for companies. In order to consider these challenges, it is necessary to have a comprehensive knowledge of the processes and a high level of transparency of the company's process organization. The process, represented in a documentation based on models, takes on a significant role as a reflection of the activities.
Industrie 4.0 Management | Volume 39 | 2023 | Edition 5 | Pages 48-52 | DOI 10.30844/IM_23-5_48-52
Tool for Data-Based Continuous Improvement in Manufacturing Companies

Tool for Data-Based Continuous Improvement in Manufacturing Companies

Konstantin Neumann, Nicole Oertwig ORCID Icon
The introduction of Lean Management System and their continuous improvement regularly poses challenges for companies. In the face of advancing digitalisation, new opportunities for analysis are opening up that also support the continuous improvement process. The article shows how process orientation, digitalisation and operational activities can be systematically applied for the development and integration of a data-based continuous improvement process in manufacturing companies. (Only in German)
Industrie 4.0 Management | Volume 39 | 2023 | Edition 5 | Pages 13-16
Digital Contract Management in the Industry

Digital Contract Management in the Industry

Robin Schmeisser
Digitalisation stands for efficiency and process optimisation. It is therefore all the more surprising that even larger medium-sized companies often do not yet have a digital solution for their contract management - the foundation of all economic activity. Instead, long email chains, inconsistent documents and unclear responsibilities dominate the processes from drafting to signing a contract.
Industrie 4.0 Management | Volume 39 | 2023 | Edition 3 | Pages 56-57
On-Site BLE-Based Data Collection

On-Site BLE-Based Data Collection

Hendrik Jonitz, Thomas Braml, Eva-Maria Kern, Marius Herzog
The increasing industrialization of the construction industry enables the implementation of a standardized process performance management, which can be used to analyze and control operational processes on construction sites [1]. This requires appropriate process data. The subject of this paper is the presentation of a structured procedure for process data collection based on Bluetooth Low Energy. The experiences gained in the course of field studies are used to derive opportunities and challenges and thus provide practical information on the use of BLE for process data collection. (Only in German)
Industrie 4.0 Management | Volume 39 | 2023 | Edition 3 | Pages 42-47
Automate Processes Strategically Instead of Selectively

Automate Processes Strategically Instead of Selectively

How and why a Center of Automation ignites the digitization booster—not only in related fields
Steffen Weiers
Many departments have already recognized the enormous increase in efficiency and personnel relief from routine activities through process automation. These digital thought leaders have begun to automate office processes using new technologies such as Robotic Process Automation (RPA), low code in the Microsoft Power Platform or in SAP. However, the positive experiences often remain in individual departments. Due to the lack of a strategic superstructure, companies as a whole have not yet succeeded in systematically transferring the added values to all areas. The organizational solution for this is called a "Center of Automation". Sometimes it is enough for the team to consist of two members to bring an overarching, digital process mindset into a company. (Only in German)
Industrie 4.0 Management | Volume 39 | 2023 | Edition 1 | Pages 58-62
Robotic Process Automation (RPA) in Logistics − Implementation Model and Success Factors

Robotic Process Automation (RPA) in Logistics − Implementation Model and Success Factors

Vorgehensmodell und Erfolgsfaktoren für die Implementierung
Carsten Feldmann, Jan Krakau, Victor Kaupe
RPA refers to bots that automate repetitive, rulebased tasks in a business process. This paper describes general areas of application for RPA in logistics as well as two practical logistics examples. In addition, a procedure model for the implementation of RPA in logistics is presented. The paper answers the following questions: What are suitable use cases for RPA in logistics? What criteria support the selection of suitable processes? And how should an implementation guide be designed to systematically support an implementation project taking into account critical success factors?
Industrie 4.0 Management | Volume 38 | 2022 | Edition 3 | Pages 35-40
Sustainable Problem Solving in Digitized Processes

Sustainable Problem Solving in Digitized Processes

Lean-Management-Umsetzung in der Logistik mittels datengestützter Prozessabsicherung
Nico Hilgert, Frank Bertagnolli ORCID Icon
In lean management implementations, processes are improved and causes of problems are sustainably eliminated. However, in areas with a lot of data, such as logistics, root cause analysis on the shopfloor becomes confusing and complicated. Supporting application systems can help with analysis and shopfloor management. Using the example of supply logistics in the automotive industry, a simple digital solution is demonstrated that creates transparency, saves time and contributes to sustainable problem solving.
Industrie 4.0 Management | Volume 37 | 2021 | Edition 5 | Pages 31-34 | DOI 10.30844/I40M_21-5_S31-34
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