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Wojciech Gliń, Tomasz Nitkiewicz and Wichai Chattinnawat
Bendkowski J., 2017. The impact of industry 4.0 on production work, Zeszyty Naukowe. Organizacja i Zarządzanie / Politechnika Śląska, z. 112, 21-33
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ERASMUS+ CBHE PROJECT, Curriculum Development of Master’s Degree Program in IndustrialEngineering for Thailand Sustainable Smart Industry, WP 1
Richard Worobel, Lucia Kováčová, Juraj Čapek, Milan Martinkovič, Martin Gašo and Peter Bubeník
Daneshjo, N., Rudy, V., Štofková, K., Mareš, A., Kováč, J., Jahnátek, A., Krivosudská, J., Šmajda, N. and Rusnák, J. (2018). Inteligent industrialEngineering - Innovation potential. San Antonio: FedEx Print & Ship Center.
Fusko, M., Rakyta, M., Krajčovič, M., Dulina, Ľ., Gašo, M. and Grznár, P. (2018). Basics of designing maintenance processes in Industry 4.0. MM Science Journal 3, pp. 2252-2259.
Fusko, M., Rakyta, M. and Manling, F. (2017). Reducing of intralogistics costs of spare parts and material of implementation digitization in
Blanka Horváthová, Ľuboslav Dulina, Eleonóra Bigošová, Miroslava Barbušová and Martin Gašo
The issue of static load arises as a result of the optimization of activities and the natural development of industry towards digitization, implementation of technologies in the production process and elimination of manual work. Due to the inherent need to facilitate or completely replace manual work with machines, human activity focuses on the development, design, and management of these machines. This article presents the results of a survey of the representation of professions with the primary seated position in the selected industrial enterprise in comparison with the most frequently registered professions in specific sectors. Likewise, the authors also deal with the elimination of static loads arising from the performance of sedentary work through ergonomic chairs offered on the Slovak market. The paper presents the results of the market analysis focusing on the parameters of office chairs, which are marked as ergonomic or health. The findings of these surveys serve as one of the starting points for the design of a complex dynamic office workplace, which the authors deal with in research at the Department of Industrial Engineering at the University of Zilina.
Tomasz Nitkiewicz, Duangthida Hussadintorn Na Ayutthaya, Pisut Koomsap, Rui M. Lima and Wichai Chattinnawat
.), Transdisciplinary Engineering Methods for Social Innovation of Industry 4.0 (pp. 712–720). http ://doi.org/10.3233/978-1-61499-898-3-712
Hussadintorn Na Ayutthaya, D., Koomsap, P., Lima, R.M., & Nitkiewicz, T. (2019). LEARNING EXPERIENCE FROM TEACHING AND LEARNING METHODS IN ENGINEERING EDUCATION: INSTRUCTOR VIEWPOINT (To be appeared In Proceedings of INTED2019 Conference 11th-13th March 2019, Valencia, Spain .
Lima, R. M., Mesquita, D., Amorim, M., Jonker, G., & Flores, M. A. (2012). An Analysis of Knowledge Areas in IndustrialEngineering and Management
Anna Wiśniewska-Sałek, Duangthida Hussadintorn Na Ayutthaya, Diana Mequita and Wichai Chattinnawat
Chattinnawat, W., 2018a. Work Package 1: Task 1.3 Industrial Questionnaire Analysis (Thai+Eu Company) . Curriculum Development of Master’s Degree Program in IndustrialEngineering for Thailand Sustainable Smart Industry. Available at: https://msie4.ait.ac.th/category/gallery/reports/
Chattinnawat, W., 2018b. Work Package 1: TASK 1.3 Student Questionnaire Analysis (Thai+Eu Student) . Curriculum Development of Master’s Degree Program in IndustrialEngineering for Thailand Sustainable Smart Industry. Available at: https://msie4.ait
The recent advances in sensors quality and processing power provide us with excellent tools for designing more complex image processing and pattern recognition tasks. In this paper we review the existing applications of image processing and pattern recognition in industrial engineering. First we define the role of vision in an industrial. Then a dissemination of some image processing techniques, feature extraction, object recognition and industrial robotic guidance is presented. Moreover, examples of implementations of such techniques in industry are presented. Such implementations include automated visual inspection, process control, part identification, robots control. Finally, we present some conclusions regarding the investigated topics and directions for future investigation
Aleksander Buczacki, Bartłomiej Gładysz and Dariusz Timler
Industrial engineering is a field dealing with optimization of complex processes, systems, or organizations by developing, improving and implementing integrated systems of people, money, knowledge, information, equipment, energy, and materials. Hence, the scope of industrial engineering is wide and includes various fields, from manufacturing, through banking, different types of services, to administration and healthcare. Various industrial engineering tools could be implemented in healthcare settings. The use of such tools is popular in western economies. For example, simulation modelling of services is popular in the US. However, there is still a very limited number of case studies on the application of such tools in healthcare that would consider the Polish economy. The aim of this paper is to present selected successful applications of lean management tools in the Polish healthcare. This may serve as an inspiration for healthcare organizations to search for and implement methodological approaches to improve their services.
The approach of this paper was to analyze the technical borders of industrial robots and to provide an overview of current technology, technical constraints and the potential types of future research suggestion concerning robotic machining. These complex automation machines used in manufacturing processes are an emerging chapter of industrial engineering that contribute to automatically performing operation in subtractive manufacturing and sheet metal forming processes. Compared with CNC machines which have shape limitations and have the restricted working area, the industrial robot is a flexible, cost-saving alternative.
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