Purpose: Considering the speed of technological development towards the Industry 4.0 era the change is necessary for managerial aspects in industrial companies. In this paper an attempt is made to understand the influence of Industry 4.0 technologies on the Quality 4.0 concept better. Methodology/Approach: Two aspects were analysed in order to achieve the goal – the influence of Industry 4.0 on quality management and the influence of Quality 4.0 on customer satisfaction. The paper is based on a literature review and a pilot study based on questionnaires prepared for research purposes. Findings: It was found out that the emergence of new technologies is beneficial for Quality Management processes and customer satisfaction. Moreover, the influence is greatly described by the amount of data now available for analysis. However, as the concept of Quality 4.0 is in its infancy, the necessary change is still required. Research Limitation/Implication: As the research was conducted in the Czech Republic, the results are limited according to the territory. Also, the study was based on the literature review available from SCOPUS and WoS databases in English, thus further studies of available literature in other languages might be needed. Originality/Value of paper: Although the quality tools that are used in Quality 4.0 are already known and accepted the influence of advanced technologies on quality management is not clear. In this paper an attempt is made to understand the influence.
This article considers the problem of the formation of the microelement water composition of the small rivers not directly affected by the oil and gas industrial complex in the Nadym-Pur interstream area. Physicochemical characteristics and ionic composition of the natural water samples are determined by chemical aqueous method, the total content of heavy metals is analyzed by inductively coupled plasma atomic emission spectrometry (ICP-AES) and inductively coupled plasma mass spectrometry (ICP-MS). More than 99% of the sum of all the heavy metal mass with concentration above 0,1 mcg/dm3 is defined by the presence of fourteen metals ranged as following: Fe>>Mn>>Sr>Ba>Zn>Rb>Cu>Co>Ni>V>Ce>Zr>Pb>La. Groups of such metals as manganese and strontium, nickel and cobalt, lead, zinc and copper, vanadium and zirconium, cerium and lanthanum form the concentration сlusters. In comparison to large and average rivers, water samples from small rivers contain higher concentrations of iron and manganese, and lower concentrations of zinc. The Fe and Mn content may vary depending on such characteristics as water color index and water turbidity. The significant exceedance of MACf of Fe and Mn is observed everywhere. The excess of zinc, caused by natural factors is occasionally fixed. The defined variability ranges for the heavy metal contents in water of small rivers located beyond the reach of the oil and gas industrial complexes effects are suggested to consider as modern background regional values of the heavy metal concentrations throughout water-collecting area of Nadym and Pur rivers in Yamalo-Nenets Autonomous Okrug of Tyumen region.
International cargo transportation is majorly dependent on marine transport, which moves 80% of the international cargo. With the increase in vessel size and the same yard area available for container transportation, it is important to study the processes and understand the efficiency of the container operations process. This research paper aims to review the import container transportation process and understand the process cycle efficiency through lean six sigma concepts. The process is evaluated from the operations process perspective and documentation process at one of the ports of India. The research has been designed by conducting an industry expert review on the process of container transportation from vessel berthing to gate out for import containers, utilising lean six sigma principles such as value stream mapping (VSM) and process cycle efficiency. The results have contributed to the existing knowledge in identifying the waste in the container handling process and demonstrated the inefficiency in the system from the perspective of waiting time of containers due to customs examination, scanning, and inter-terminal handling and movement. The process cycle efficiency of 40% is calculated by analysing the detailed time of handling containers from vessel berthing to gate out. A new future value stream mapping is proposed considering the process cycle efficiency. Future studies will focus on studying this process for export containers and benchmarking the results with the top-performing ocean ports globally.
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