Jüri Riives - Academia.edu (original) (raw)

Papers by Jüri Riives

Journal of Machine Engineering, May 27, 2024

Modern manufacturing faces vastly changing challenges. The current economic situation and technol... more Modern manufacturing faces vastly changing challenges. The current economic situation and technological developments in terms of Industry 4.0 (I4.0) and Industry 5.0 (I5.0) force enterprises to integrate new technologies for more efficient and higher-quality products. Artificial intelligence (AI) and Machine Learning (ML) are the technologies that make machines capable of making human-like decisions. In the long run, AI and ML can add a layer (functionality) to make IoT devices more interactive and user-friendly. These technologies are driven by data and ML uses different types of data for making decisions. Our research focuses on testing a cobot-based quality control (CBQC) system that uses smart fixture and machine vision (MV) to determine the cables inside products with similar designs, but different functionality. The products are IoT modules for small electric vehicles used for interface, connectivity, and GPS monitoring. Previous research describes the methodology of reconfiguration of existing cobot cells for quality control purposes. In this paper, we discuss the testing of the CBQC system, together with creating a pattern database, training the ML model, and adding a predictive model to avoid defects in product cable sequence. Preliminary testing is carried out in the laboratory environment which leads to production testing in SME manufacturing. Results, developments, and future work will be presented at the end of the paper.

International Journal of Operations & Production Management, 1992

The development of computer technology, artificial intelligence, and simulation modelling has bec... more The development of computer technology, artificial intelligence, and simulation modelling has become increasingly complex, and yet the application of these techniques is necessary for a company to be effective and competitive. However, the end users may not have the necessary sophistication to apply these technologies effectively on their own. Combining these technologies to provide intelligent interfaces may be beneficial to the non‐expert user. Discusses a conceptual knowledge‐based simulation system and illustrates its applicability using a hypothetical manufacturing example. The example focuses on interfacing knowledge from an expert with a simulation model to make scheduling decisions in a manufacturing environement. The knowledge system is constructed using the M.1 expert system package and the simulation is performed using SLAM II.

Human Aspects in Computer Integrated Manufacturing, 1992

Abstract In this paper development of a modular computer-integrated manufacturing planning system... more Abstract In this paper development of a modular computer-integrated manufacturing planning system is described. This system can be represented from the system point of view (internal architecture) and from the user's point of view (external architecture). The internal architecture includes the kernel, production and engineering data bases and production planning expert as well as the generalized supporting means and methods for solving a wide range of tasks. Due to the existence of the external architecture, the system can be adapted to different applications. To analyze different problem domains CAD, CAM, CAPP, MRP, etc. which need to be integrated in order to realize CIM, a unified framework of the whole system is considered.

Proceedings of the Estonian Academy of Sciences, 2019

Higher productivity of an organization is based on modern manufacturing systems and digitizing th... more Higher productivity of an organization is based on modern manufacturing systems and digitizing the manufacturing processes. The problem is how to match together technological capabilities of machine tools (machining centres) with the need to manufacture a product; and how to increase the efficiency of process planning procedures. Injection molds are the products with many different features, with high quality requirements, and variable geometrical parameters. The problem is sophisticated because most of the products are unique and do not repeat. In order to be able to respond quickly changeable situations where sometimes more than 4 different programs are needed on a daily basis, manufacturing systems will have to become more autonomous. For this purpose, it is necessary to take advantages of the possibilities of modern production programs by linking them with know-how of engineers. Manufacturing operations management (MOM) and machine learning are the tools used for developing knowledge-based manufacturing solutions in the company. Framework has been developed to gather data in the company and develop the rules based on data models and information analysis. The designed solutions for feature-based machining (FBM) give high quality technological solutions and increase the efficiency of machining process by computer numerical control (CNC) programming. Product manufacturing information (PMI) model is in development together with integration of the machine learning system.

DAAAM Proceedings, 2019

Many companies are already using robots, but many have not found enough applications for the robo... more Many companies are already using robots, but many have not found enough applications for the robot and therefor they have not purchased it jet. One robot can be used to perform several different tasks, but it also raises the question of whether the production needs to be reorganized so that these multiple tasks are directed to the robot, or it can be solved differently where the robot moves between different tasks. In this paper different concepts will be discussed and each of its disadvantages and advantages will be highlighted. Paper also includes survey among Estonian manufacturing companies to find out which tasks are robotized and which tasks are desired to give over to robots in future. Paper also include short description about recently opened Industry 4.0 test hub where mobile robot applications are being tested and paper results will be also tested in this test hub. In general, this paper focus on solution how to use robot arm most efficient way if there is not enough job for stationary robot solution.

Proceedings of the 23rd International DAAAM Symposium 2012, 2012

The aim of this article is to stress the importance of necessary changes against risks with the h... more The aim of this article is to stress the importance of necessary changes against risks with the help of a case study in real company called Meiren Engineering. The introduction focuses on the explanation of the following term: product development process and project risk management. Next part is focused on the proposal and monitoring risks. The conclusion is focused on particular solutions to eliminate these risks and follow illustrate these risks in the matrix grid.

DAAAM International Scientific Book 2008, 2008

Online resource databases allow production enterprises to cooperate effectively. The elaborated s... more Online resource databases allow production enterprises to cooperate effectively. The elaborated system concept supports the strategic planning of technology transfer, it also could be used as a basis for the industrial enterprises in elaborating cooperation networks and developing towards extended enterprises. Description and evaluation of innovation capacity through human resources development is a novel solution taken into consideration in the building of the model. Results at this phase are used to develop the technological and human resources database test version. The workshop productivity increasingly depends on skills and knowledge of whole workshop team. Different equipment and competencies are needed depending on complexity of production. The humans' impact on productivity and the methods for enhancing the productivity and efficiency of work in the machinery workshop environment are described in this paper. The data covering 75 Estonian metalworking and machinery companies has been analyzed. A novel expert tool is introduced, where during the evaluation guess values are assigned onto machinery, products, and staff members of the workshop, reflecting existing and needed levels of competence and machinery, thus helping further process planning.

Proceedings of the 32nd International DAAAM Symposium 2021, 2021

Now-days manufacturing is going more complex, dynamic and changing over time even chaotic in the ... more Now-days manufacturing is going more complex, dynamic and changing over time even chaotic in the extended value chain. In order to being able to satisfy the demand for high-quality products in an efficient manner, it is essential to use modern technologies based on AI. These areas, which have great developments are expert systems and machine learning. These have the new challenges to manage the manufacturing in different application areas. There are different possibilities and different approaches for solving multi criteria based engineering tasks, influencing directly to the performance in a workplace. How to combine and use them to improve and manage the performance of the production process in the workplace is a main objective of the current article. The integration of the AI models with FBM templates and libraries can also give a great advantage to standardize the way of decision making in a certain product family (like injection moulds). In the article, the models from both categories considered with tooling questions have been examined. This can help improve manufacturing consistency and reduce the tool inventory by setting shop tool standards for similar operations.

Proceedings of the Estonian Academy of Sciences, 2021

The continuous need to develop Industry 4.0 branches has led to a position where highly sophistic... more The continuous need to develop Industry 4.0 branches has led to a position where highly sophisticated and multi-layer smart robotic systems are guiding the way to future manufacturing. This study aims to build a connectivity and system intelligent layer on top of a co-bot integrated Computer Numerical Control (CNC) based manufacturing cell. The connectivity layer is used to bypass all the data collected from machines to the upper intelligent layer and vice versa. When raw data arrives in the intelligent layer, it will be converted to information and again to knowledge for reflection to be sent back to the cell. Machine-to-Machine Communication and Digital Twin process for optimization are used for data conversions. This study is a downscale example of the Cyber-Physical System (CPS) for further development of the existing robot cells.

Volume 6: Design, Systems, and Complexity, 2020

Manufacturing companies must ensure high productivity and low production cost in rapidly changing... more Manufacturing companies must ensure high productivity and low production cost in rapidly changing market conditions. At the same time products and services are evolving permanently. In order to cope with those circumstances, manufacturers should apply the principles of smart manufacturing together with continuous processes improvement. Smart manufacturing is a concept where production is no longer highly labor-intensive and based only on flexible manufacturing systems, but production as a whole process should be monitored and controlled with sophisticated information technology, integrated on all stages of the product life cycle. Process improvements in Smart Manufacturing are heavily reliance on decisions, which can be achieved by using modeling and simulation of systems with different analyzing tools based on Big Data processing and Artificial Intelligence (AI) technologies. This study was performed to automate an estimation process and improve the accuracy for production cell’s p...

Several methods and techniques have been used in different phases of the research. In the initial... more Several methods and techniques have been used in different phases of the research. In the initial stages of the research, pilot data was collected from the management of the companies and researchers and was analyzed. Information was collected through literature review and interviews, and the research area, aim, and questions were formulated. A broader literature review was then performed to obtain additional information and to define a research gap. A multi-stage survey was also conducted of the Estonian manufacturing industry. Based on the data collected, an analysis was performed, and conclusions made. Using the case study methodology, possible solutions were proposed and then validated either by experiments in university laboratories and company production cells or simulations, using various commercial software. Final conclusions were reached based on the results, and research limitations and suggestions for future research were proposed.

Estonian Journal of Engineering, 2013

Processes are very fast in contemporary dynamic, turbulent and continually changing world. System... more Processes are very fast in contemporary dynamic, turbulent and continually changing world. Systems supporting these processes become more and more complicated and are in mutual interaction. Design of high performance workplaces becomes more and more important for achieving competitiveness. In the current article workplace capability, formed by capability of technological resources and human resources, as well as lean manufacturing principles are analysed with an aim to design high performance workplaces.

Volume 2: Advanced Manufacturing, 2018

Manufacturing is moving towards complexity, large integration, digitalization and high flexibilit... more Manufacturing is moving towards complexity, large integration, digitalization and high flexibility. A combination of these characteristics is a basic for forming a new kind of production system, known as Cyber Physical System (CPS). CPS is a board range of complex, multidisciplinary, physically-aware next generation engineered systems that integrates embedded computing technologies. Those integrated manufacturing systems usually consist of four levels: network, enterprise, production system and workplace. In this article we are concentrated to the workplace level, examining the implementation of the most suitable robot-cell and integration it into the production system and enterprise structure. The problem is actual for the big companies such as automobile industry, but very important is also for small and medium sized enterprises (SMEs) that tend to produce for example; small tractors, air conditioners for high speed trains or even different type of doors for houses. In all cases t...

IOP Conference Series: Materials Science and Engineering

Proceedings of the Estonian Academy of Sciences, 2019

Manufacturing industry robotization is spreading into wider range of processes. Determination if ... more Manufacturing industry robotization is spreading into wider range of processes. Determination if robotization is suitable for the company is one of the most critical issues before selecting industrial robot and designing the robot cell. A survey was carried out among Estonian small and medium sized manufacturing enterprises (SMEs) for this study to determine the utilization of industrial robot (IR) in the industry. More specific study of production unit was conducted, using gathered information, to estimate how the objectives of the production cell design were achieved. The aim of the present scientific work is to map the knowledge whether robotization is suitable or not for the company or working processes and to appoint parameters obtained after using the robot cell for practical manufacturing processes. The study results comprise the suitability assessment method with the set of criteria and key performance indicators (KPIs), that best describe implemented production unit profitability and help SMEs to gain additional economic-technical information for future robot-based unit development.

Proceedings of the Estonian Academy of Sciences, 2014

A web-based workplace performance improvement system was developed for managing real-time manufac... more A web-based workplace performance improvement system was developed for managing real-time manufacturing processes and the level of execution of the production tasks at workplaces. The system's web aspect provides significant advantages, as the system is distributed through inter-operable, cross-platform, and highly pluggable web-service components. It is possible to estimate the effectiveness of the production process at the workplace through different key performance indicators. The main objective is to eliminate excessive idle time, but also to analyse possibilities of reducing various times involved in the manufacturing process, such as the setup time, quality control time, etc. The system was developed in cooperation with Fujitsu Services Estonia, and it is possible to integrate it with the human resources managing system PERSONA (Fujitsu Services).

Journal of Machine Engineering

The successful selection process of industrial robots (IRs) for today's Cyber-Physical Systems is... more The successful selection process of industrial robots (IRs) for today's Cyber-Physical Systems is an important topic and there are different possibilities to solve the task. The primary task is to estimate the existing IR selection systems according to the suitability analysis and to highlight the main positive features and problematic areas. The objective of the reverse task is to carry out the sensitivity analysis of the existing robot-based manufacturing systems. The matching of these two approaches helps decision makers to develop the main principles of IR selection in today`s multidimensional and fast-changing economic world.

Estonian Journal of Engineering, 2009

E-manufacturing as a term was introduced some years ago by semiconductor industry, enabling to ha... more E-manufacturing as a term was introduced some years ago by semiconductor industry, enabling to handle large production quantities in different locations. Due to globalization, nowadays individual and small-batch production oriented tooling companies need web-based simple manufacturing, planning and monitoring systems that could include larger sensor systems and databases. In this paper an overview of the tooling sector and its needs for such a manufacturing model as well as a new concept of the e-manufacturing model for SMEs of machinery and toolmaking sectors are presented.

Journal of Machine Engineering, May 27, 2024

Modern manufacturing faces vastly changing challenges. The current economic situation and technol... more Modern manufacturing faces vastly changing challenges. The current economic situation and technological developments in terms of Industry 4.0 (I4.0) and Industry 5.0 (I5.0) force enterprises to integrate new technologies for more efficient and higher-quality products. Artificial intelligence (AI) and Machine Learning (ML) are the technologies that make machines capable of making human-like decisions. In the long run, AI and ML can add a layer (functionality) to make IoT devices more interactive and user-friendly. These technologies are driven by data and ML uses different types of data for making decisions. Our research focuses on testing a cobot-based quality control (CBQC) system that uses smart fixture and machine vision (MV) to determine the cables inside products with similar designs, but different functionality. The products are IoT modules for small electric vehicles used for interface, connectivity, and GPS monitoring. Previous research describes the methodology of reconfiguration of existing cobot cells for quality control purposes. In this paper, we discuss the testing of the CBQC system, together with creating a pattern database, training the ML model, and adding a predictive model to avoid defects in product cable sequence. Preliminary testing is carried out in the laboratory environment which leads to production testing in SME manufacturing. Results, developments, and future work will be presented at the end of the paper.

International Journal of Operations & Production Management, 1992

The development of computer technology, artificial intelligence, and simulation modelling has bec... more The development of computer technology, artificial intelligence, and simulation modelling has become increasingly complex, and yet the application of these techniques is necessary for a company to be effective and competitive. However, the end users may not have the necessary sophistication to apply these technologies effectively on their own. Combining these technologies to provide intelligent interfaces may be beneficial to the non‐expert user. Discusses a conceptual knowledge‐based simulation system and illustrates its applicability using a hypothetical manufacturing example. The example focuses on interfacing knowledge from an expert with a simulation model to make scheduling decisions in a manufacturing environement. The knowledge system is constructed using the M.1 expert system package and the simulation is performed using SLAM II.

Human Aspects in Computer Integrated Manufacturing, 1992

Abstract In this paper development of a modular computer-integrated manufacturing planning system... more Abstract In this paper development of a modular computer-integrated manufacturing planning system is described. This system can be represented from the system point of view (internal architecture) and from the user's point of view (external architecture). The internal architecture includes the kernel, production and engineering data bases and production planning expert as well as the generalized supporting means and methods for solving a wide range of tasks. Due to the existence of the external architecture, the system can be adapted to different applications. To analyze different problem domains CAD, CAM, CAPP, MRP, etc. which need to be integrated in order to realize CIM, a unified framework of the whole system is considered.

Proceedings of the Estonian Academy of Sciences, 2019

Higher productivity of an organization is based on modern manufacturing systems and digitizing th... more Higher productivity of an organization is based on modern manufacturing systems and digitizing the manufacturing processes. The problem is how to match together technological capabilities of machine tools (machining centres) with the need to manufacture a product; and how to increase the efficiency of process planning procedures. Injection molds are the products with many different features, with high quality requirements, and variable geometrical parameters. The problem is sophisticated because most of the products are unique and do not repeat. In order to be able to respond quickly changeable situations where sometimes more than 4 different programs are needed on a daily basis, manufacturing systems will have to become more autonomous. For this purpose, it is necessary to take advantages of the possibilities of modern production programs by linking them with know-how of engineers. Manufacturing operations management (MOM) and machine learning are the tools used for developing knowledge-based manufacturing solutions in the company. Framework has been developed to gather data in the company and develop the rules based on data models and information analysis. The designed solutions for feature-based machining (FBM) give high quality technological solutions and increase the efficiency of machining process by computer numerical control (CNC) programming. Product manufacturing information (PMI) model is in development together with integration of the machine learning system.

DAAAM Proceedings, 2019

Many companies are already using robots, but many have not found enough applications for the robo... more Many companies are already using robots, but many have not found enough applications for the robot and therefor they have not purchased it jet. One robot can be used to perform several different tasks, but it also raises the question of whether the production needs to be reorganized so that these multiple tasks are directed to the robot, or it can be solved differently where the robot moves between different tasks. In this paper different concepts will be discussed and each of its disadvantages and advantages will be highlighted. Paper also includes survey among Estonian manufacturing companies to find out which tasks are robotized and which tasks are desired to give over to robots in future. Paper also include short description about recently opened Industry 4.0 test hub where mobile robot applications are being tested and paper results will be also tested in this test hub. In general, this paper focus on solution how to use robot arm most efficient way if there is not enough job for stationary robot solution.

Proceedings of the 23rd International DAAAM Symposium 2012, 2012

The aim of this article is to stress the importance of necessary changes against risks with the h... more The aim of this article is to stress the importance of necessary changes against risks with the help of a case study in real company called Meiren Engineering. The introduction focuses on the explanation of the following term: product development process and project risk management. Next part is focused on the proposal and monitoring risks. The conclusion is focused on particular solutions to eliminate these risks and follow illustrate these risks in the matrix grid.

DAAAM International Scientific Book 2008, 2008

Online resource databases allow production enterprises to cooperate effectively. The elaborated s... more Online resource databases allow production enterprises to cooperate effectively. The elaborated system concept supports the strategic planning of technology transfer, it also could be used as a basis for the industrial enterprises in elaborating cooperation networks and developing towards extended enterprises. Description and evaluation of innovation capacity through human resources development is a novel solution taken into consideration in the building of the model. Results at this phase are used to develop the technological and human resources database test version. The workshop productivity increasingly depends on skills and knowledge of whole workshop team. Different equipment and competencies are needed depending on complexity of production. The humans' impact on productivity and the methods for enhancing the productivity and efficiency of work in the machinery workshop environment are described in this paper. The data covering 75 Estonian metalworking and machinery companies has been analyzed. A novel expert tool is introduced, where during the evaluation guess values are assigned onto machinery, products, and staff members of the workshop, reflecting existing and needed levels of competence and machinery, thus helping further process planning.

Proceedings of the 32nd International DAAAM Symposium 2021, 2021

Now-days manufacturing is going more complex, dynamic and changing over time even chaotic in the ... more Now-days manufacturing is going more complex, dynamic and changing over time even chaotic in the extended value chain. In order to being able to satisfy the demand for high-quality products in an efficient manner, it is essential to use modern technologies based on AI. These areas, which have great developments are expert systems and machine learning. These have the new challenges to manage the manufacturing in different application areas. There are different possibilities and different approaches for solving multi criteria based engineering tasks, influencing directly to the performance in a workplace. How to combine and use them to improve and manage the performance of the production process in the workplace is a main objective of the current article. The integration of the AI models with FBM templates and libraries can also give a great advantage to standardize the way of decision making in a certain product family (like injection moulds). In the article, the models from both categories considered with tooling questions have been examined. This can help improve manufacturing consistency and reduce the tool inventory by setting shop tool standards for similar operations.

Proceedings of the Estonian Academy of Sciences, 2021

The continuous need to develop Industry 4.0 branches has led to a position where highly sophistic... more The continuous need to develop Industry 4.0 branches has led to a position where highly sophisticated and multi-layer smart robotic systems are guiding the way to future manufacturing. This study aims to build a connectivity and system intelligent layer on top of a co-bot integrated Computer Numerical Control (CNC) based manufacturing cell. The connectivity layer is used to bypass all the data collected from machines to the upper intelligent layer and vice versa. When raw data arrives in the intelligent layer, it will be converted to information and again to knowledge for reflection to be sent back to the cell. Machine-to-Machine Communication and Digital Twin process for optimization are used for data conversions. This study is a downscale example of the Cyber-Physical System (CPS) for further development of the existing robot cells.

Volume 6: Design, Systems, and Complexity, 2020

Manufacturing companies must ensure high productivity and low production cost in rapidly changing... more Manufacturing companies must ensure high productivity and low production cost in rapidly changing market conditions. At the same time products and services are evolving permanently. In order to cope with those circumstances, manufacturers should apply the principles of smart manufacturing together with continuous processes improvement. Smart manufacturing is a concept where production is no longer highly labor-intensive and based only on flexible manufacturing systems, but production as a whole process should be monitored and controlled with sophisticated information technology, integrated on all stages of the product life cycle. Process improvements in Smart Manufacturing are heavily reliance on decisions, which can be achieved by using modeling and simulation of systems with different analyzing tools based on Big Data processing and Artificial Intelligence (AI) technologies. This study was performed to automate an estimation process and improve the accuracy for production cell’s p...

Several methods and techniques have been used in different phases of the research. In the initial... more Several methods and techniques have been used in different phases of the research. In the initial stages of the research, pilot data was collected from the management of the companies and researchers and was analyzed. Information was collected through literature review and interviews, and the research area, aim, and questions were formulated. A broader literature review was then performed to obtain additional information and to define a research gap. A multi-stage survey was also conducted of the Estonian manufacturing industry. Based on the data collected, an analysis was performed, and conclusions made. Using the case study methodology, possible solutions were proposed and then validated either by experiments in university laboratories and company production cells or simulations, using various commercial software. Final conclusions were reached based on the results, and research limitations and suggestions for future research were proposed.

Estonian Journal of Engineering, 2013

Processes are very fast in contemporary dynamic, turbulent and continually changing world. System... more Processes are very fast in contemporary dynamic, turbulent and continually changing world. Systems supporting these processes become more and more complicated and are in mutual interaction. Design of high performance workplaces becomes more and more important for achieving competitiveness. In the current article workplace capability, formed by capability of technological resources and human resources, as well as lean manufacturing principles are analysed with an aim to design high performance workplaces.

Volume 2: Advanced Manufacturing, 2018

Manufacturing is moving towards complexity, large integration, digitalization and high flexibilit... more Manufacturing is moving towards complexity, large integration, digitalization and high flexibility. A combination of these characteristics is a basic for forming a new kind of production system, known as Cyber Physical System (CPS). CPS is a board range of complex, multidisciplinary, physically-aware next generation engineered systems that integrates embedded computing technologies. Those integrated manufacturing systems usually consist of four levels: network, enterprise, production system and workplace. In this article we are concentrated to the workplace level, examining the implementation of the most suitable robot-cell and integration it into the production system and enterprise structure. The problem is actual for the big companies such as automobile industry, but very important is also for small and medium sized enterprises (SMEs) that tend to produce for example; small tractors, air conditioners for high speed trains or even different type of doors for houses. In all cases t...

IOP Conference Series: Materials Science and Engineering

Proceedings of the Estonian Academy of Sciences, 2019

Manufacturing industry robotization is spreading into wider range of processes. Determination if ... more Manufacturing industry robotization is spreading into wider range of processes. Determination if robotization is suitable for the company is one of the most critical issues before selecting industrial robot and designing the robot cell. A survey was carried out among Estonian small and medium sized manufacturing enterprises (SMEs) for this study to determine the utilization of industrial robot (IR) in the industry. More specific study of production unit was conducted, using gathered information, to estimate how the objectives of the production cell design were achieved. The aim of the present scientific work is to map the knowledge whether robotization is suitable or not for the company or working processes and to appoint parameters obtained after using the robot cell for practical manufacturing processes. The study results comprise the suitability assessment method with the set of criteria and key performance indicators (KPIs), that best describe implemented production unit profitability and help SMEs to gain additional economic-technical information for future robot-based unit development.

Proceedings of the Estonian Academy of Sciences, 2014

A web-based workplace performance improvement system was developed for managing real-time manufac... more A web-based workplace performance improvement system was developed for managing real-time manufacturing processes and the level of execution of the production tasks at workplaces. The system's web aspect provides significant advantages, as the system is distributed through inter-operable, cross-platform, and highly pluggable web-service components. It is possible to estimate the effectiveness of the production process at the workplace through different key performance indicators. The main objective is to eliminate excessive idle time, but also to analyse possibilities of reducing various times involved in the manufacturing process, such as the setup time, quality control time, etc. The system was developed in cooperation with Fujitsu Services Estonia, and it is possible to integrate it with the human resources managing system PERSONA (Fujitsu Services).

Journal of Machine Engineering

The successful selection process of industrial robots (IRs) for today's Cyber-Physical Systems is... more The successful selection process of industrial robots (IRs) for today's Cyber-Physical Systems is an important topic and there are different possibilities to solve the task. The primary task is to estimate the existing IR selection systems according to the suitability analysis and to highlight the main positive features and problematic areas. The objective of the reverse task is to carry out the sensitivity analysis of the existing robot-based manufacturing systems. The matching of these two approaches helps decision makers to develop the main principles of IR selection in today`s multidimensional and fast-changing economic world.

Estonian Journal of Engineering, 2009

E-manufacturing as a term was introduced some years ago by semiconductor industry, enabling to ha... more E-manufacturing as a term was introduced some years ago by semiconductor industry, enabling to handle large production quantities in different locations. Due to globalization, nowadays individual and small-batch production oriented tooling companies need web-based simple manufacturing, planning and monitoring systems that could include larger sensor systems and databases. In this paper an overview of the tooling sector and its needs for such a manufacturing model as well as a new concept of the e-manufacturing model for SMEs of machinery and toolmaking sectors are presented.