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EN
The paper presents an approach to video-based assembly analysis using machine learning. A neural network is one of the machine learning methods that is widely studied in many engineering fields. The purpose of this paper is to develop a deep neural network structure for identifying begin-end points for a selected component assembly process. A neural network structure that effectively identifies begin-end points is proposed and an example from industry is presented. The proposed approach can prove useful in the assembly process analysis.
EN
This paper presents an approach to assembly planning in the early phase of product development. The product specification, workstation, environment, equipment and tools are not fully known in the early stage of product development. When comparing product variants at this stage there is a lack of data that affects the efficiency of the manufacturing process. It is therefore necessary to apply methods useful in processing incomplete and uncertain data. The main indicator which helps in comparing different product variants is manufacturing time standard. This papier is focused on assembly tool selection which is one of important data influenced assembly time. Based on the proposed algorithm and case study, a tool selection method using a decision tree induced from a training set with reduced uncertainty is presented.
EN
One of the important issues in production is the improvement of the assembly process, which involves the assembly of the product, as well as changeover and maintenance. Improving assembly, resulting from the appropriate layout of workstations, is crucial for both employees and robots performing routine assembly operations. This article discusses improving assembly using the Schmigalla method (also known as the Bloch-Schmigalla method or the triangular method), which is one of the heuristic layout planning methods. The article analyzes the selected assembly task and characterizes the main activities and equipment, on the basis of which the proper arrangement of equipment at the assembly station was determined. Based on the numerical data, the advantages of using the Schmigalla method to improve the location of the assembly station equipment are presented.
EN
Time standards belong to the key indicators of production process effectiveness. The paper discusses time standard setting in the production process. One of the important stages of the production process is assembly, which is a crucial stage in case of manufacturing customized products. The aim of the article is to show the methods of time standard setting which facilitate assembly planning. Specific goals of the article are focused on finding common attributes useful in assembly tasks characteristics and changeover, as well as finding value intervals helpful in assembly description. Shortening the product lifecycle, new product development and product customization bring about the development of a modular reconfigurable assembly line. The development of flexible assembly lines requires standards related to typical assembly tasks and tools. Reconfiguration and balancing assembly lines require a knowledge base related to time standards. This article presents examples of typical tasks, tools and time standards for planning product assembly and changeover which use the assembly and disassembly processes.
PL
Skrócenie dróg transportowych jest jednym z obszarów doskonalenia procesu produkcyjnego wpływającego na jego efektywność. Jedną z metod pozwalających wyznaczyć rozmieszczenie stanowisk pracy, przy minimalizacji długość dróg transportowych, jest metoda trójkątów. W procesie produkcyjnym, w którym są wytwarzane różnorodne produkty w oparciu o podobną technologię, istnieje konieczność takiego rozmieszczenia stanowisk pracy oraz przestrzeni magazynowej, aby przepływ produkcji przebiegał sprawnie, redukując czas, a co za tym idzie — koszty transportu. Zastosowanie metody trójkątów wymaga przeprowadzenia takich działań jak: pozyskanie i przygotowanie danych dotyczących częstotliwości powiązań transportowych między stanowiskami, opracowanie rozmieszczenia teoretycznego stanowisk, opracowanie oraz wdrożenie modelu przestrzenne- go, w którym są uwzględniane wymiary hali, gabaryty stanowisk, drogi transportowe, pola odkładcze i inne elementy wyposażenia, takie jak np. regały, stojaki.
EN
Production process layout improvement can influence it's efficiency. Triangle method support production process layout planning and minimalizing length of transportation path. In assembly process of customized product is necessary minimalizing transportation time and cost. Application of triangle method required: data preparing related to components layout, theoretical and practical placement of stands.
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