Automation

Can Artificial Intelligence (AI) Act as an Enabler for Industry 4.0 (4IR)?

Can Artificial Intelligence (AI) Act as an Enabler for Industry 4.0 (4IR)?

Impacts on the maturity level of Industry 4.0 technologies
Dennis Richter, Mildred Doe, Steffen Kinkel ORCID Icon
Artificial intelligence is often mentioned often mentioned in the same context as Industry 4.0, but the exact role of AI is unclear. Is AI just another 4IR technology or an essential "enabler" for other 4IR technologies? Six experts assess the impact of AI on 41 4IR technologies. AI could indeed be a decisive factor in unleashing the full potential of Industry 4.0.
Industry 4.0 Science | Volume 40 | 2024 | Edition 6 | Pages 80-87 | DOI 10.30844/I4SE.24.6.80
Intelligent Shopfloor Assistants

Intelligent Shopfloor Assistants

Increasing productivity through the use of generative AI
Eckart Uhlmann ORCID Icon, Julian Polte ORCID Icon, Christopher Mühlich ORCID Icon, Yassin Elsir
In modern production companies, a heterogeneous IT landscape often complicates day-to-day work. A promising antidote is the use of intelligent agents, which use generative AI for routine tasks and can therefore increase efficiency. Whether these intelligent systems can be successfully integrated into existing networks determines whether the flow of information can be improved and manual effort reduced.
Industry 4.0 Science | Volume 40 | 2024 | Edition 6 | Pages 64-71
From Pixels to Presence

From Pixels to Presence

Transforming remote interactions with telepresence robots
Angelika C. Bullinger ORCID Icon, Danny Rueffert ORCID Icon, Francisco Hernandez ORCID Icon, Holger Hoffmann ORCID Icon
Telepresence Robots (TPR) support the ongoing digital transformation in work and leisure amid climate and societal changes. This article presents two cases, one set in production and one in social participation, to illustrate users’ requirements, which largely coincide. Key requirements include audio and camera quality, a stable Wi-Fi connection, active and passive visual capabilities, and even floor covering.
Industry 4.0 Science | Volume 40 | Edition 5 | Pages 18-25 | DOI 10.30844/I4SD.24.5.18
Risk Management in Automated Warehouse Planning

Risk Management in Automated Warehouse Planning

Development and use of a knowledge-based, generic Warehouse FMEA
Harald Augustin ORCID Icon, Gabriel Mičić ORCID Icon
The planning and implementation of automated warehouses is characterized by high investments and risks. The FMEA (Failure Mode and Effects Analysis) currently used to reduce risks requires a great deal of effort to conduct, as it has deficits in terms of design and implementation support. These deficits include a predominant focus on the process view without linking this to the design FMEA for automation objects, an insufficient structure for the use of similar repetitive processes and technologies, a lack of automated, parameterized generation of activities, failures and causes, and a lack of integrated test scenario derivation. These deficits lead to unrecognized failures and increase the effort required to carry out the FMEA and develop test scenarios. In this article, we present a generic FMEA model which, among other things, is able to access extensive practical data in the form of knowledge bases and thus resolve the aforementioned deficits.
Industry 4.0 Science | Volume 40 | 2024 | Edition 3 | Pages 41-46
Warehouse Inventory Detection with Airship Drones

Warehouse Inventory Detection with Airship Drones

(Semi-)autonomous aircraft for inventory and quality inspection of pallets in block storage facilities
Dmitrij Boger, Michael Freitag ORCID Icon, Britta Hilt, Michael Lütjen ORCID Icon, Benjamin Staar ORCID Icon
The complex dynamics of block warehouses pose major challenges to the manual stocktaking process. Frequent relocation of pallets, crates or pallet cages without fixed storage locations leads to a time-consuming and error-prone inventory process, wherein goods often have to be searched for and damages due to improper storage can occur. The use of (semi-)autonomous drones offers a promising solution to enable automated stocktaking, especially if these are appropriately equipped for optical goods detection.
Industry 4.0 Science | Volume 40 | 2024 | Edition 2 | Pages 56-63
Motion-Mining Compared to Traditional Lean Tools

Motion-Mining Compared to Traditional Lean Tools

Sensor-supported analysis of manual processes in manufacturing and logistics
Hendrik Appelhans, Christopher Borgmann, Carsten Feldmann
Motion-Mining® is a technology that uses motion sensors and pattern recognition to enable automated process mapping and analysis of manual work. This article evaluates the advantages and limitations of its use in manufacturing and logistics processes. To this end, Motion-Mining® is compared with traditional lean management tools used to analyze manual activities. Experiences derived from four use cases provide decision support for selecting the appropriate method for a specific use case.
Industry 4.0 Science | Volume 40 | Edition 2 | Pages 24-31
The Compressed Enterprise-Control System Integration and the Era of Industry 4.0

The Compressed Enterprise-Control System Integration and the Era of Industry 4.0

How the digital control twin is changing operational applications and the integration of IT systems in a company
Wilmjakob Herlyn ORCID Icon
The Enterprise-Control System Integration of the operational applications is described in IEC-62264 and also referred to as the automation pyramid. This integration model is built on the MRP-II model developed in the 1980s. This model was groundbreaking for its time and still forms the basis of operational IT systems today. According to this concept, operational applications are run through hierarchically-sequentially (waterfall principle), which results in disadvantages such as: many interfaces, time delays, data loss, inconsistencies, etc. This sequential model neither meets the current requirements nor the informational and technical possibilities of Industry 4.0. It can be replaced by the concept of the digital control twin, which has corresponding effects on the automation pyramid.
Industrie 4.0 Management | Volume 39 | 2023 | Edition 5 | Pages 42-47
Automated Detection of Fragile Production Behavior

Automated Detection of Fragile Production Behavior

Simple early detection of deterministic-chaotic behavior in highly available production systems
Martin Manns ORCID Icon, Denny Höhnen
Routing flexibility enables a robust, resilient design of production. However, in highly available, decentralized controlled production systems with cyclic material flow, it can reduce efficiency due to undesired deterministic-chaotic behavior. An automated method for measuring such behavior is presented. It is tested with a double conveyor belt laboratory system. An embedded system simplifies data acquisition. Results indicate that the method is usable for manual and automatic production systems. It has the potential to recognize modeling deficiencies in Industry 4.0 control with IEC 61499. (Only in German)
Industrie 4.0 Management | Volume 39 | 2023 | Edition 5 | Pages 17-21
Robot-Based Assembly Automation in Mid-Sized Companies

Robot-Based Assembly Automation in Mid-Sized Companies

Obstacles, drivers and implications
Aaron Zinßer, Fabian Diefenbach ORCID Icon, Arik Lämmle ORCID Icon
Production automation is well established in large companies for high volume products. But robot-based assembly automation in mid-sized companies is still in its infancy. This study uses results from 19 expert interviews and a survey to identify obstacles to and drivers of automation in this field. Among the obstacles is the low flexibility of the robotic systems. One driver for automation is the increasing shortage of skilled workers. Based on the empirical findings, the study proposes options to increase the use of automation.
Industrie 4.0 Management | Volume 39 | 2023 | Edition 4 | Pages 21-24 | DOI 10.30844/IM_23-4_21-24
Focus on Employees

Focus on Employees

Clear rules and processes as the basis for independent ordering of indirect requirements
Michael Petri
eProcurement systems enable employees to handle the purchase of C-parts and indirect requirements independently with a minimum of work. This article explains how this can free up space for the strategically decisive procurement of A and B parts. The basic idea is to outsource the operative procurement activity to those who have the demand - so-called demand carriers. Decisive for the success of this approach is the right mix of individual freedom and sufficient control. Here, eProcurement solutions offer various levers that the purchasing department can configure according to the respective company situation. (Only in German)
Industrie 4.0 Management | Volume 39 | 2023 | Edition 3 | Pages 60-61
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