Intelligent Functional Model for Costs Minimization in Hybrid Manufacturing Systems

Bargelis, Algirdas; Hoehne, G.; Česnulevičius, Aurimas

doi:10.15388/informatica.2004.042

Cited by 6 publications

(3 citation statements)

References 16 publications

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“…In general, manufacturing systems can be seen as a set of complex activities because they involve people, a high diversity of machines and tools, as well as other equipment in its various levels of automation, such as robots and computers. A manufacturing system starts with the development of a product, proceeding to the manufacturing engineering, composing the development of the production processes, as well as the planning of the necessary resources for the effective production of the product and its delivery to the customer [10].…”

Section: Manufacturing Systemmentioning

confidence: 99%

Method for Performance Analysis of Production Lines Based on Digital Models Powered by Real-Time Data

Krüger

Werlich

Borsato

2021

Advances in Transdisciplinary Engineering

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The intention to improve the performance of the processes involved is considered one of the main guidelines for companies’ competitive advantage. Technological advances help to improve yields, operations, decision making and cost reduction when adopted in their daily processes, and assembly lines are constantly monitored, but the detection of adversities is still considered complex. Because of this difficulty, the proposal for a virtual model with greater fidelity to reality, such as the digital twin model, is promising. A virtual model of the shop floor system composed of physical characteristics present in the industrial environment, being fed with data that occurs in real-time, offers the simulation possible predictions of setbacks with greater fidelity. This monitoring provides the user with an improvement in the process control, assisting in the planning of operations, enabling changes in the virtual model of compliance verification, improving performance and productivity, reducing related times and costs for later application in the physical model. In this way, the objective of this work proposes the elaboration of an application method where it is possible to analyze the performance of productive lines through digital models integrated with the data feed system in real-time.

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Section: Manufacturing Systemmentioning

confidence: 99%

Method for Performance Analysis of Production Lines Based on Digital Models Powered by Real-Time Data

Krüger

Werlich

Borsato

2021

Advances in Transdisciplinary Engineering

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“…Taking into account the earlier research [11][12][13], the process forecasting model has been proposed for sheet metal design by the dependence of production volume, initial material sort of a part, its profile type, geometrical form, variety of design features, and their qualitative and quantitative parameters. In this way, any material sort and its initial profile type demand appropriate technological operations, e.g.…”

Section: Generation Of An Optimal Process Planmentioning

confidence: 99%

“…In the case when a sheet metal part of threedimensional CAD model is available, then total machining perimeter V is defined by this model. Unfortunately, customers often place orders in the .pdf or similar files, and for this case simple software has been developed for defining part total perimeter V by expression (12).…”

Section: Cost Forecasting Modelmentioning

confidence: 99%

Cost forecasting model for order-based sheet metalworking

Bargelis

Rimašauskas

2007

Proceedings of the Institution of Mechanical Engineers, Part C:

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This paper deals with a cost forecasting model for order-based sheet metalworking. The model has been developed on the cost analysis performed by comparing traditional manufacture of sheet metal parts (dies and presses) with rapid manufacture (RM) as CNC punching, laser cutting, and bending in terms of the cost per part unit made in various quantities. The findings show that it is more economical to apply RM methods for some sheet metal design geometries than traditional approaches in the production of thousand units. The developed cost forecasting model has been tested and adopted in two sheet metalworking companies. It furnishes the possibility for producer to find quickly and to estimate the product cost at an early stage of order-based sheet metalworking industry with satisfactory accuracy. The proposed model is being implemented both in industry and university education process.

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Intelligent assembly system for mechanical products and key technology based on internet of things

et al. 2014

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The Internet of Things (IoT) has a significant effect on the development of manufacturing technology. Therefore, according to the analysis of the challenges and opportunities faced by manufacturing industry, this study uses the assembly process of mechanical products as the research object and analyzes the characteristics of IoT-based manufacturing systems. To improve the interconnection, perception, efficiency, and intelligence of the assembly system, this study proposes the concept of IoT-enabled intelligent assembly system for mechanical products (IIASMP). The IIASMP framework, which is based on advanced techniques such as information and communication technology, sensor network, and radio-frequency identification, is then presented. Key technologies under this framework, including assembly resources identification, information interaction technology, multi-source data perception and fusion, intelligent assembly agent, and value-added data and dynamic self-adaptive optimization, are described. Finally, the current results of IIASMP are described in the case study. The proposed framework and methods aims to have an important reference value for applying the key technologies and be used widely in the intelligent manufacturing field.

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Intelligent Functional Model for Costs Minimization in Hybrid Manufacturing Systems

Cited by 6 publications

References 16 publications

Method for Performance Analysis of Production Lines Based on Digital Models Powered by Real-Time Data

Method for Performance Analysis of Production Lines Based on Digital Models Powered by Real-Time Data

Cost forecasting model for order-based sheet metalworking

Intelligent assembly system for mechanical products and key technology based on internet of things

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