Wyniki wyszukiwania - BazTech

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Optimization of the Conveyor Line System Using Computer Simulation on the Example of a Modern Warehouse

Gawron Eryk, Sika Robert, Rogalewicz Michał

Advances in Science and Technology. Research Journal

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2023

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Vol. 17, no 1

304--314

EN

The paper presents a outline of a modern large-area warehouse of an enterprise engaged in the sale of, among others, food products, software, books, automotive components, and many others. The techniques, methods, research and design tools used were described. A control system was designed, its plan and network connections of control devices based on the characteristics of technological documentation. The design of logical structures controlling the conveyor line, network topology configuration and also the safety system was proposed. The performance and errors of the line were checked in the simulation process. The paper also includes the process of commissioning and testing an industrial PLC (Programmable Logic Controller) on a real object, which is a modern warehouse.

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Comparison of Selected ERP Systems Supporting the Production Planning and Control on the Example of Automotive Industry

Sika Robert, Wojtala Oliwia, Hajkowski Jakub

Management and Production Engineering Review

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2022

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Vol. 13, No. 3

39--51

EN

In many companies, along with the economic development, the use of integrated management systems is becoming more and more common, which are subject to evolution in terms of, inter alia, offered functions and new user requirements. The main purpose of this paper is to compare selected ERP (Enterprise Resource Planning) systems in the field of production planning and control on the example of the automotive industry. The paper presents the contemporary functioning of the automotive industry against the background of issues related to the integrated management systems used in them. The research part presents the proprietary methodology for the assessment of IT systems used in the automotive industry, which included a user survey. The obtained score allowed to indicate the optimal ERP class system supporting production planning and control.

3

Modern Reverse Engineering Methods Used to Modification of Jewelry

Kroma Arkadiusz, Adamczak Oliwia, Sika Robert, Górski Filip, Kuczko Wiesław, Grześkowiak Krzysztof

Advances in Science and Technology. Research Journal

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2020

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Vol. 14, no 4

298--306

EN

The article presents the results of research aimed at redesigning a jewelry product with the use of modern reverse engineering methods. A detailed review of the literature was conducted and the essence of the application of this technology in the era of Industry 4.0 was presented. The 3D digitization of the research object was performed with the use of Aicon SmartSCAN-HE R8 and DAVID-SLS3 scanners. The obtained better quality file was edited in Autodesk Meshmixer 3.5 software. On the basis of the created model, a 3D print was made using FDM (Fused Deposition Modeling) and DPP (Daylight Polymer Printing) technology with two different materials – HIPS (High Impact Polystyrene) and photopolymer casting resin. The final stage of the work was the measurement of the surface roughness of the B101 (CuSn10P) tin-phosphorus alloy castings made using the method of investment casting.

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Application of instance-based learning for cast iron casting defects prediction

Sika Robert, Szajewski Damian, Hajkowski Jakub, Popielarski Paweł

Management and Production Engineering Review

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2019

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Vol. 10, No. 4

101--107

EN

The paper presents an example of Instance-Based Learning using a supervised classiﬁcation method of predicting selected ductile cast iron castings defects. The test used the algorithm of k-nearest neighbours, which was implemented in the authors’ computer application. To ensure its proper work it is necessary to have historical data of casting parameter values registered during casting processes in a foundry (mould sand, pouring process, chemical composition) as well as the percentage share of defective castings (unrepairable casting defects). The result of an algorithm is a report with ﬁve most possible scenarios in terms of occurrence of a cast iron casting defects and their quantity and occurrence percentage in the casts series. During the algorithm testing, weights were adjusted for independent variables involved in the dependent variables learning process. The algorithms used to process numerous data sets should be characterized by high eﬃciency, which should be a priority when designing applications to be implemented in industry. As it turns out in the presented mathematical instance-based learning, the best quality of ﬁt occurs for speciﬁc values of accepted weights (set #5) for number k = 5 nearest neighbours and taking into account the search criterion according to “product index”.