The purpose of this paper is to demonstrate that the application of lean approach in supply chain can act and influence the improvement of performances of the overall supply chain, as well as of all its participants. Some of the benefits which can be achieved by applying lean tools, methods and techniques, with minimal required investment, in supply chain are: reduced wastes, reduced costs, improved quality, faster delivery, and consequently increased supply chain profitability. In this paper, the comparison of traditional and lean supply chain is done according to different derived characteristics. The identification of comparative characteristics is done by desk research in combination with conversational research. The paper can serve as a basis for transforming existing supply chain into a lean supply chain.
This paper presents an application of convolutional neural networks (CNN) in autonomous driving system, which represents the capacity of a vehicle to operate mostly or entirely autonomously, with or without human assistance. After basic introduction of CNN, we design and apply CNN-based algorithm in road type classification problem. The performed simulations show that satisfactory results can be achieved even with little data available.
This paper focuses on supply chain practices before and after the COVID-19 pandemic. Supply chain disruptions due to COVID-19 on the supply, demand, and logistical side are thoroughly explained and presented. The paper addresses how the pandemic exposed the vulnerabilities and deficiencies of the lean, JIT global supply chain model. This paper also presents short- and long-term strategies that companies have taken to mitigate supply chain disruptions. As a contribution to the paper, results from the research on COVID-19 impacts on the Serbian economy and business, that the Serbian Chamber of Commerce has conducted, are shown. The paper aims to highlight the most important supply chain measures and strategies needed to stay competitive during any pandemic.
In this paper, innovations in the field of distributed control systems have been considered. Without any claim for completeness, a short summary on current trends in this area has been provided. A special attention is paid to application of blockchain technologies in distributed control systems, game theoretical approach for distributed control applications, and advantages of distributed control for power systems. Also, one of the main issues of modern distributed control systems – cybersecurity has been considered.
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