scholarly journals Holistic integration of a VR solution into the planning process of scalable production systems

Procedia CIRP ◽  
2020 ◽  
Vol 88 ◽  
pp. 133-138
Author(s):  
Achim Kampker ◽  
Saskia Wessel ◽  
Nicolas Lutz ◽  
Matthias Bildhauer ◽  
Martin Hehl
2015 ◽  
Vol 105 (09) ◽  
pp. 651-656
Author(s):  
A. König ◽  
T. Benkner ◽  
J.-P. Schulz

Der Fachartikel beschreibt ein neues Konzept zur interdisziplinären, gewerkeübergreifenden Zusammenarbeit von Unternehmen im Planungsprozess von automatisierten Produktionssystemen. Der Ansatz „conexing“ definiert ein planungsübergreifendes Dateiformat auf Basis des AutomationML-Standards für Anlagenkomponenten sowie eine Austauschschnittstelle mittels eines Webportals. Die hier vorgestellte Methodik erlaubt den Austausch von Komponenten inklusive ihres logischen Verhaltens für die virtuelle Inbetriebnahme zwischen unterschiedlichen Engineering-Werkzeugen.   This article describes a new approach to interdisciplinary – cross-trade business cooperation in the planning process of automated production systems. The conexing approach defines so called SmartComponent, as a file format for system components based on the AutomationML standards for the exchange of plant engineering information. These SmartComponents include detailed system component information as well as their logical behavior. The presented approach additionally allows an exchange of SmartComponents between different engineering tools for virtual commissioning via a web portal.


Organizacija ◽  
2015 ◽  
Vol 48 (3) ◽  
pp. 203-213 ◽  
Author(s):  
Silvo Pozderec ◽  
Martina Bavec ◽  
Črtomir Rozman ◽  
Jožef Vinčec ◽  
Karmen Pažek

Abstract Purpose: Organic and integrated production of vegetables are the two most common production systems in Slovenia. The study analyzed two production systems with different cultures as alternatives with purpose to find the most appropriate variants. Design/Methodology/Approach: The study based on the development and integration of developed specific technological- economic simulation models for the production of vegetables (salad, growing peppers, salad cucumbers, pickling cucumbers, round and cherry tomato) in greenhouse and multi-criteria decision analysis. The methodology of the study based on the DEX methodology and the analytical hierarchy process (AHP) of organic (ECO) and integrated production (IP) in greenhouse. Results: The evaluation results show that both cultivation methods of commercially attractive vegetables in greenhouse are variable. In the case of integrated production, the assessment of multi-criteria decision analysis EC and DEXi showed that salad (Donertie F1) proved to be the best possible alternative. In the case of organic production, the multi-criteria analysis assessment of pickling cucumbers (Harmony F1) is the best possible business alternative. Conclusion: For the further production planning process by decision maker is the ranking with Expert Choice (EC) more useful and precise, while the DEX evaluations are more descriptive.


Procedia CIRP ◽  
2021 ◽  
Vol 99 ◽  
pp. 645-649
Author(s):  
Achim Kampker ◽  
Saskia Wessel ◽  
Nicolas Lutz ◽  
Simon Heine ◽  
Andreas Mayr ◽  
...  

2021 ◽  
Vol 13 (19) ◽  
pp. 11102
Author(s):  
Daniel Nåfors ◽  
Björn Johansson

As more pressure is put on manufacturing companies to increase productivity and reduce waste as a means to remain competitive due to increased globalization and digitalization, many companies find themselves investing in their production systems, leading to changes in their existing factories and production systems. This process is usually performed with 2D CAD drawings and data of varying quality, leading to several challenges along the way. This longitudinal research follows up on eight years of industrial studies where researchers have applied 3D laser scanning and immersive virtual reality to improve the brownfield factory layout planning processes in real industrial scenarios, a novel approach in the research field. By interviewing key stakeholders at each company and analyzing the findings, challenges in data availability and accuracy of existing data, grasping scale and perspective, and challenges gathering input and communicating around planned changes are identified and shown to be substantially alleviated by the application of the technological tools and allowing more people to be part of the factory layout planning process. By using virtual engineering, industries can improve their brownfield factory layout planning process and take well-informed decisions leading to sustainability benefits via fewer costly mistakes, improved employee engagement, and less need for travel.


2001 ◽  
Vol 19 (4) ◽  
pp. 230-236 ◽  
Author(s):  
John D. Lea-Cox ◽  
David S. Ross ◽  
K. Marc Teffeau

Abstract Many states throughout the United States are now concerned about the impact of non-point source pollution on the declining quality of water in their watersheds. In 1998, the state of Maryland adopted one of the toughest nutrient management planning laws in the nation, requiring virtually all agricultural operations to write and implement nitrogen (N) and phosphorus (P) based management plans by December 31, 2002. The nursery and greenhouse industries are faced with a complicated task to write these nutrient management plans, since these operations grow a large number of plant species utilizing a range of fertilization and irrigation strategies. A nutrient management planning strategy has been identified that will provide an assessment of nutrient loss potential from a wide variety of production scenarios, identify the specific factors that contribute most to nutrient leaching and runoff, and enable targeted best management practices to be implemented to reduce the risk of nutrient run-off.


2019 ◽  
Vol 216 (1) ◽  
pp. 89-102
Author(s):  
Szymon Mitkow ◽  
Ewa Sterniczuk

Abstract The effectiveness and efficiency of production system is a guarantee of the company’s success, especially in times of dynamic growth of trade (including online trade), as well as increasing customers’ requirements, who want to have goods always available and delivered, preferably on the day of order. A modern customer of services raises the bar high not only for production systems, but also for transport systems. Therefore, IT tools supporting the management process of all areas of its activity are implemented in enterprises. This article describes selected of them, focusing primarily on the support of production planning process. As the use of IT systems should be preceded by deepening the knowledge of algorithms applied in them, first of all a calculation example of the use of material requirements planning procedure for complex products with a modular structure was presented, and then the characteristics of selected IT tools supporting the processes of material requirements planning and enterprise resource planning have been made.


Author(s):  
Christian Kollatsch ◽  
Philipp Klimant

AbstractWith the increasing requirements on machine tools such as higher complexity, individuality and digitization, their maintenance becomes also more complex, which increases time consumption and demands special knowledge. The maintenance engineer can be supported in this process using the Augmented Reality (AR) technology, mobile devices and suitable production data. This requires the integration and adaptation of the maintenance documentation as well as further production systems and their data such as the CAD system, product data management (PDM) system, manufacturing execution system (MES) and CNC. For this purpose, a method is developed that allows an efficient integration process of various production data into an AR supported maintenance documentation. This includes concepts for the integration process of different production systems and data into an AR maintenance system as well as the design of the AR maintenance system architecture. Basis is the analysis of the required production and AR systems, data and processes. The aim of the method is to reduce the high expenditure of the overall planning process and the necessary expertise of the maintenance planner of the AR technology. The developed method is verified with different maintenance scenarios, production systems and data as well as machine tools and AR devices.


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