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It became more than evident that the era of Industry 4.0 is upon us, where industrial manufacturing companies are facing strong demand to increase their productivity by realizing smart factories and smart manufacturing. With the advantages of high-tech devices and solutions such as IPCs, industrial automation and machine automation technologies, hardware-software integration and various others, it is now possible to foster the development of Industry 4.0 through three logical steps. The first step considers the implementation of equipment connectivity: devices, machines, production lines and factories are connected to the system, and therefore, data transparency as well as information visualization can be obtained. In addition, the second step involves data collection and integration, as well as valued-added products and services that are introduced for smart manufacturing services. Lastly, the third step of intelligent innovative services is the enabling of intelligent machinery and big data analysis. Given the aforementioned, smart factory can be defined as a factory which harmonically implements Machine Automation, Equipment Monitoring & Optimization, Machine Monitoring & Predictive Maintenance, MES Integration & Production Traceability, Factory Energy Management System and Factory Environment Monitoringdeveloped with integrated automation and cloud innovation for industry 4.0. Having in mind that the aim of this paper is to review the possibilities and concerns of Energy Management in Industry 4.0 Ecosystem, this topic will be devoted to the greatest attention, while the importance of other equally relevant topics that are simply not the subject of this review should not be diminished or underestimated.

Purpose -The purpose of this paper is to present a novel approach for identification of machining fixtures, and their elements in an assembly/ disassembly process. Design/methodology/approach -Radio frequency identification (RFID) technology is applied to identification of physical machining fixtures and their basic elements. Findings -Based on comprehensive testing in industrial conditions it was established by this research that the use of RFID technology contributes to significant reduction of assembly/disassembly time of machining fixtures. Practical implications -Practical applicability of RFID technology is emphasized and demonstrated in the paper. The suggested system is proven superior in comparison with conventional methods for identification of fixtures/fixture elements which qualifies it for real industrial application. Originality/value -To the best of authors' knowledge there are no previous reports of successful application of RFID technology on identification of fixtures/fixture elements.

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Radio Frequency Identification (RFID) technology presents automatic identification technology that can be used in product life cycle various phases, especially in the manufacturing phase. The analysis of possible application of RFID technology in machining and inspection operations for fixture manufacturing assembly/disassembly process is presented in this paper. Furthermore, assemble/disassemble fixture manufacturing system structure and conception is presented. An analysis involves hardware and software components that the designed system for assembly/disassembly needs to have. Suggested system verification was done in laboratory conditions. Verification uses ninety-six parts and adequate fixtures. The paper concludes with final remarks, discussing advantages and disadvantages of the developed system.

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PurposeThe purpose of this paper is to present a new way for identification of products/parts and their tracking during the whole life cycle, from the manufacture and assembly phase to the disassembly phase.Design/methodology/approachRadio frequency identification (RFID) technology is applied on a chosen product, an in‐mould labelling (IML) robot.FindingsThis paper discusses a case study that highlights the use of RFID as automatic identification technology, especially in the processes of assembly/disassembly of the IML robot. The application can be expanded onto any kind of product, with the exception of some life cycle phases that are specific for a particular product.Practical implicationsThe paper gives an example of how RFID technology can actually be realized in the case of the IML robot to improve the quality of tracking its main components.Originality/valueThe users have the possibilities to access and analyze information about the products/parts during their cycle.

For many years, Poka-Yoke (PY) has been used as one of the means to overcome challenges that can affect errors and defects in process. It is a widely accepted concept-a way of thinking, which undoubtedly contributed to significant results in a struggle against the occurrence of errors in various work processes. However, although PY seems to be well understood in theory, there are a large number of scientific papers and books that still seek to clarify and redefine PY, in order to finally implement its application at full capacity. Many authors, as it seems, want to emphasize inconsistencies in current theoretical and practical experiences. This claim is supported by the fact that over 50 similar and different PY definitions have been found in literature. It seems that most researchers do not sufficiently perceive generally accepted attitudes in the field of PY, as well as differences and inconsistencies in some of them. Due to a sense of confusion during the process design stage, an effort to predict locations of possible sources of error is a direct consequence of the diffuse knowledge in the field, which imposes the need to change that state. This paper summarizes the latest studies and definitions in the field of PY applications, in order to propose a comprehensive and generally acceptable definition of PY. In order to find what is common to the most important attitudes in the field of PY, a systematic literature review has been undertaken, with the goal to identify the areas of disagreement, to recognize any gaps that exist and outline personal experiences and attitudes in the field. The novel approach to the types of PY presented in this paper should provide a solid foundation for the creation and development of PY model and a systematic approach to the application of PY in production and service systems. Finally, some conclusions and prospective future research directions are presented. Highlights • Detailed systematic literature review on Poka-Yoke (PY) is presented. • More than 50 examples and case studies on PY are reviewed. • A novel approach to types of PY is proposed. • Examples of PY devices are created and discussed.