This paper puts forth a systematic approach to evaluating the maturity level of the robotization of production processes in the context of digital transformation for manufacturing companies. The method was developed to address the absence of a sector-specific framework for assessing robotization maturity growth, in line with the Industry 5.0 guidelines (incorporating sustainability, the circular economy, and human-centeredness). The survey covers six core areas for manufacturing companies: the automation and robotization of production processes, digitization of warehouse processes, flexibility and intralogistics, and end-to-end integration of key data management processes. The study aimed to advance digitalization through improved robotization maturity. The study surveyed 200 small and medium-sized businesses operating in Poland from 2022 to 2024. The study presents a method to assess enterprise operational maturity, covering current and planned levels and development plans for the next three years.

This paper puts forth a systematic approach for evaluating the maturity level of production process automation in the context of digital transformation for manufacturing companies. The method was developed to address the absence of a sector-specific framework for assessing automation maturity growth, in line with the Industry 5.0 guidelines (incorporating sustainability, the circular economy, and human-centeredness). The survey covers six core areas for manufacturing companies: automation, robotization of production processes, digitalization of warehouse processes, flexibility, intralogistics, and end-to-end integration of key data management processes. The study aimed to advance digitalization through improved process automation maturity. The study surveyed 200 small- and medium-sized businesses operating in Poland from 2022 to 2024. The study presents a method for assessing enterprise operational maturity, covering the current and planned levels and the development plans for the next three years.

This paper presents a system for measuring the geometry of powered roof support sections (Shield Support Monitoring System, SSMS). The problem of measuring the geometry of powered roof support sections for the purpose of predicting geological hazards during the rock excavation process is presented. Information on the construction and implementation of the SSMS and research at the Budryk Mine is included. The research aimed to evaluate both the precision and accuracy of the measurement apparatus created, as well as to examine how operating conditions affect the system’s usability. An analysis of inclinometer measurement errors in the prototype system was conducted during in situ tests, demonstrating minimal scattering and high sensor accuracy according to the provided data.

This paper presents a concept of a routing algorithm for a network of sensors monitoring the condition of machinery and equipment operating in areas at risk of methane and/or coal dust explosion. It was assumed that the proposed algorithm would find application in sensor networks monitoring, among other things, oil pressure in powered roof supports and the position of powered roof support elements. The results of a literature analysis were presented, which included the simulation of sensor network routing algorithms, including, among others, reactive algorithms, proactive algorithms and algorithms based on so-called swarm intelligence (SI). As a result of the analyses, several algorithms were selected and implemented in a prototype sensor network. The characteristics of each of these algorithms are described. The article includes a description of the commissioning work of the network, which consisted of between 3 and 30 nodes. An analysis of the collected measurement data obtained for each criterion of the performance evaluation of the routing algorithms is presented.