International Scientific Journals
of Scientific Technical Union of Mechanical Engineering "Industry 4.0"

This paper presents the simulation and verification of programs created for the CNC Hitachi Seiki Seicos LIII lathe machine tool. The main purpose of program simulation and verification is to ensure the quality and accuracy of the cutting process, which can significantly improve production efficiency. In addition to defining the toolpath, simulation can perform linear and circular interpolation according to specific programs based on G – codes. Therefore, all the motions of the moving parts of the real lathe machine tool can be clearly visualized. The use of simulation is a good solution not only to precise the toolpath, but also verify the program and detect any possible collision between cutting tools and mobile components, before loading the program into the lathe machine tool and starting cutting processes.

The project for improvement of the production process based on the Lean methodology in SMELT-ING DOO was implemented in four phases (mini projects). The detailed analysis of the work orders in the period of 9 months provided clear picture of the current situation. With the defined methodology and through mutual meetings with the upper management and the employees of the company, the project team managed to introduce and implement the following mini projects: improved visualisation, digital work order, implementation of 5S and portable tools trolley. All these mini projects have improved the organization of the production process and helped the process of waste
elimination in the company.

Manufacturing of medical products is a very wide market. Many steps must be taken to ensure that produced product is sterile and safe and efficient to use for the customer. All manufacturing system from production floor to the type of sterilization must comply with required standards and regulatory. Every step of introducing new product to the production to routine production itself must be well documented and justified to be able to release the product to the market for human consumption. This paper presents information of production area requirements for medical devices, sterilization methods and sterilization indicators, briefly overlooks the q uality control of such processes and the effectiveness of it.

Digitalization of production lines is the most important issue in the world in recent years. One of the most important issues of this digitalization for today’s manufacturing enterprises is the need to update maintenance practices and maintenance work processes in production lines with technological developments. The fact that sawing machines are in the first part of the production lines shows that it is of critical importance. In this study, it is aimed to determine the necessary principles for digitizing sawing machines and integrating the predictive maintenance system into the machine. As a result of the evaluation, the necessity of real-time data collection, data analysis and artificial intelligence algorithms for predictive maintenance requirements has been determined.

Production starts with supply of raw materials and cutting of this input to the desired dimensions in order to be taken to the production line. Sawing machines used to bring the raw material to the desired dimensions in the industrial manufacturing companies are of great importance and maintain the identity of being the indispensable machine tool of almost all the enterprises’ machine parks. Considering the transition to Industry 4.0 in next 10-15 years, Turkey, which has a significant market share in the production of sawing machines, still needs to be sustainable export to countries like EU Countries and the United States which have the highest level of preparation for Industry 4.0 is directly related to meeting the expectations of these countries. In this study, for both of to raise the level of preparedness and to increase the export potential of Turkey, it is aimed to determine which criteria should be taken as basis in the development of saw machines capable of meeting industry 4.0 requirements. As a result of the evaluation, to meet Industry 4.0 requirements it have been come fore to meet the needs such as adaptation of processing and cutting conditions with barcode data, optimization of cutting conditions by data analysis, remote monitoring and control by communication with desktop and mobile devices, real-time tracking for predictive maintenance and apply maintenance plan in concept of dark factories.

The goal of this paper is to provide a resource that can be used by the Augmented Reality research community and practitioners to understand the most recent potentials for application of the innovative Augmented Reality technology in various industry. Firstly, it is described mainly the role of the Augmented Reality in logistics and maintenance. Secondly, the paper provides an overview of research papers in the period 2008-2018 in the field of Augmented Reality for facilitating and supporting industrial applications.
By efforts of research, review and classification the author outlines both opportunities and challenges for spreading the Augmented Reality applications in smart manufacturing environments that will provide the baseline for further discussion and research in this direction.
Presenting this survey the author aims at creating an active community that further discusses the future development of Augmented Reality particularly in Supply Chain Management. Future steps will be taken in research workshops and online community work.

The Industry 4.0 initiative poses great challenges to the world, countries and companies connected with the provided digital transformation and the new intelligent technologies in all areas of the industry. This requires the development and follow-up of a national strategy for the adoption and implementation of Industry 4.0. It is important in this case to assess the Industry 4.0 readiness of each country for transformation and change. The main aim of the paper is to present, analyse and compare some of the most promised existing approaches for calculation of Industry 4.0 readiness at national level. Some results are presented and compared.

Knowledge gained from the Digital factory field needs to be expanded and further disseminated. The use of the Digital factory concept is mainly in laboratory conditions. It is essential for new knowledge to be made it more accessible for further experiments and for acquiring new knowledge for faster and easier deployment. The visualization of machines, devices, and entire manufacturing systems allows for almost faultless design of such systems. It is an expense saving and time-efficient solution. The article represents an experiment aimed at exploring simulation methods used in design and development of production systems by use of simulation digital tool. Comparison of the results obtained by examining the simulation model and real model will be made for acquisition of deviation between virtual model and real model. The task of optimization is, in this case, to create an optimal timetable for individual production lines by increasing flexibility and lowering costs, with prediction that the conditions are met and all orders will be made on time, minimize downtime, reduce production of waste and consider the efficient use of electricity.

In Kosovo enterprises, the usage of CAD systems are limited, in the beginning as a result of higher prices of hardware and software equipment and afterwards as a result of the war events that Kosovo and their economy passed. This paper reports the results and conclusions drawn from a questionnaire survey concerning the use and implementation of computer-aided design (CAD) in the Kosovo furniture industry.

It was regarded as important to find out what impacts implementation has on the usage of CAD and whether companies in the furniture industry think the use of CAD could improve their product development. Less than half of all product-developing companies in the Kosovo furniture industry are using CAD today. The study found that the following factors are involved in successful implementation: management support, realistic budgeting, selection of system and effective, company-specific training. Most CAD users are satisfied with their system and think that it fulfills their needs. Many of the difficulties referred to by respondents can be related to the implementation phase, and they could be avoided. In general, the furniture industry considers that CAD improves their product development work.

Production planning for the replacement of conventional manufacturing systems by new automated process chains is a com- plex activity particularly when it comes to choosing the right processes, materials and technologies. Nowadays those new process chains have to fulfil constraints such as low energy consumption and have to be resource-efficient and cost-efficient at the same time. The decision- making process can be a difficult task for authorities especially when the uncertainty of the input parameter has to be taken into account, such as prices for electricity, raw materials and lot sizes. This paper proposes a new decision-making model based on multidimensional key performance indicators (KPIs) that represent an economic and environmental objective as well as a performance objective.

In this paper, we want to show ideas on how building a Tech-Hub for boosting and strengthening the manufacturing sector in developing countries. We think this goal can be attained by creating a network composed of universities and enterprises between developed and developing countries, we think that this method will make more effective, easy and fast the process of creation of new products or processes by start-ups or enterprises of developing countries.

The paper shows the concept of Serbian Industry 4.0 Model based on cyber-physical manufacturing metrology model (CPM3) and an integrated approach to manufacturing quality. The paper presents two directions of research: Virtual optimization of CAI process parameters for the sculptured surface inspection and Intelligent model for Inspection Planning on CMM.