Complex customer loyalty measurement at closed-loop quality management in B2B Area - Czech example

The main objective of this article is to present our proposal of complex customer loyalty measurement within external feedback loops as a response of Industry 4.0 concept in the area of advanced quality management for business-to-business (B2B) relationships, as customer loyalty and organisational sustainability are two critical factors for long-term success. To reach the goal, deep literature analysis, special field research, interviews with specialists, and development of a new model of closed-loop quality management systems, which are created for Quality 4.0 environment, were used. A new term, complex customer loyalty, is introduced, and twelve basic steps of its measurement are briefly explained, including a set of loyalty indicators, all regarding specific characteristics of B2B context. Special research confirmed that only about 15% of Czech organisations use some systematic approach to customer loyalty measurement within B2B area. In the majority of Czech B2B organisations, closed-loop quality management systems are mostly in early phases of their development. However, there is no doubt that complex customer loyalty measurement will be an important part of these systems. The proposals presented in this article are mostly universal and should be applied not only to Czech companies.Web of Science135art. no. 295

Quality 4.0 maturity assessment in light of the current situation in the Czech Republic

Production companies throughout the world are currently facing challenges with the extensive transformation of their processes with regard to digitalisation and other features of Industry 4.0. Simultaneously, traditional quality management processes must be significantly changed, and the umbrella term "Quality 4.0" is used to represent this transformation. Many companies, including Czech enterprises, are still struggling with the concept of Quality 4.0, as there are a lot of uncertainties, misunderstandings, and false approaches. Additionally, a lot of questions arise about how to provide an objective and comprehensive assessment of the company's maturity or readiness for Quality 4.0. Therefore, the main objective of this article is to present our proposal of a framework and methodology on how to assess and measure the maturity level for the implementation of Quality 4.0. This proposal will be supplemented by a presentation of the main results obtained from a special field study, which was conducted at Czech production companies with the aim of obtaining a representative set of information showing their readiness to adopt Quality 4.0 and convert existing quality management systems into the new era. The authors also identify some research gaps, including the necessity to confirm the mutual relationship between the dimensions and items of Quality 4.0 and the sustainable development of companies or society.Web of Science1412art. no. 751

Development of Approaches to Customer Loyalty Measurement at Industrial Plants

Diplomová práce se zabývá rozvojem přístupů k měření komplexní loajality zákazníků v průmyslových organizacích. Dílčími cíli práce je analýza dosavadních přístupů k měření loajality zákazníků a analýza současného stavu v oblasti měření loajality zákazníků v českých organizacích. Hlavním cílem práce je návrh metodiky pro měření komplexní loajality zákazníků, která by zohledňovala jak emocionální, tak racionální aspekty loajality.This master’s thesis is focused on development of approaches to measurement of complex customer loyalty in industrial organizations. Partial goals of this thesis are analysis of current approaches to measurement of customer loyalty and analysis of current state in the field of measurement of customer loyalty in Czech organizations. Main goal of this thesis is proposal of methodology for measurement of complex customer loyalty, which would consider both emotional and rational aspects of loyalty.639 - Katedra managementu kvalityvýborn

Implementation of Electronic Documents for Production Release at an Engineering Company

Bakalářská práce se zabývá zavedením elektronické dokumentace pro uvolňování výroby. Cílem práce je analyzovat stávající proces uvolňování výroby a eliminovat jeho nedostatky zavedením elektronické dokumentace s využitím specializovaného softwaru. Práce je zpracována s ohledem na požadavky automobilového průmyslu.This bachelor thesis is focused on implementation of electronic documents for production release. Goal of this thesis it to analyse current conditions of the production release and remove its imperfections by implementation of electronic documents in specialized software. The thesis is made regarding the specific requirements of automotive industry.639 - Katedra managementu kvalityvýborn

The role of big data in Industry 4.0 in mining industry in Serbia

The current age characterized by unstoppable progress and rapid development of new technologies and methods such as the Internet of Things, machine learning and artificial intelligence, brings new requirements for enterprise information systems. Information systems ought to be a consistent set of elements that provide a basis for information that could be used in context to obtain knowledge. To generate valid knowledge, information must be based on objective and actual data. Furthermore, due to Industry 4.0 trends such as digitalization and online process monitoring, the amount of data produced is constantly increasing – in this context the term Big Data is used. The aim of this article is to point out the role of Big Data within Industry 4.0. Nevertheless, Big Data could be used in a much wider range of business areas, not just in industry. The term Big Data encompasses issues related to the exponentially growing volume of produced data, their variety and velocity of their origin. These characteristics of Big Data are also associated with possible processing problems. The article also focuses on the issue of ensuring and monitoring the quality of data. Reliable information cannot be inferred from poor quality data and the knowledge gained from such information is inaccurate. The expected results do not appear in such a case and the ultimate consequence may be a loss of confidence in the information system used. On the contrary, it could be assumed that the acquisition, storage and use of Big Data in the future will become a key factor to maintaining competitiveness, business growth and further innovations. Thus, the organizations that will systematically use Big Data in their decision-making process and planning strategies will have a competitive advantage

The Role of Big Data in Industry 4.0 in Mining Industry in Serbia

The current age characterized by unstoppable progress and rapid development of new technologies and methods such as the Internet of Things, machine learning and artificial intelligence, brings new requirements for enterprise information systems. Information systems ought to be a consistent set of elements that provide a basis for information that could be used in context to obtain knowledge. To generate valid knowledge, information must be based on objective and actual data. Furthermore, due to Industry 4.0 trends such as digitalization and online process monitoring, the amount of data produced is constantly increasing – in this context the term Big Data is used. The aim of this article is to point out the role of Big Data within Industry 4.0. Nevertheless, Big Data could be used in a much wider range of business areas, not just in industry. The term Big Data encompasses issues related to the exponentially growing volume of produced data, their variety and velocity of their origin. These characteristics of Big Data are also associated with possible processing problems. The article also focuses on the issue of ensuring and monitoring the quality of data. Reliable information cannot be inferred from poor quality data and the knowledge gained from such information is inaccurate. The expected results do not appear in such a case and the ultimate consequence may be a loss of confidence in the information system used. On the contrary, it could be assumed that the acquisition, storage and use of Big Data in the future will become a key factor to maintaining competitiveness, business growth and further innovations. Thus, the organizations that will systematically use Big Data in their decision-making process and planning strategies will have a competitive advantage

Den doktorandů 2021

Do programu letošního „Dne doktorandů FMT“ se s prezentacemi přihlásilo celkem 49 studentů a zastoupení jednotlivých studijních programů je následující: V rámci studijního programu Metalurgická technologie je přihlášeno celkem 8 přednášejících, v oboru Chemická metalurgie 2 přednášející, v programu Tepelná technika a paliva v průmyslu 1 přednášející, v rámci studijního programu Chemické a environmentální inženýrství se přihlásil 1 přednášející, ze studijního programu Procesní inženýrství 4 přednášející. V rámci studijního programu Materiálové vědy a inženýrství se v tomto roce přihlásil 1 přednášející. Do studijního programu Řízení průmyslových systémů se pak přihlásilo 29 přednášejících. Nově se do této akce přihlásili i 3 studenti studijního programu Nanotechnologie.Ostrav