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Title | Locating Chart Choice Based on the Decision-Making Approach |
Authors |
Ivanov, Vitalii Oleksandrovych
Botko, F. Kolos, V. Pavlenko, Ivan Volodymyrovych Hatala, M. Antosz, K. Trojanowska, J. |
ORCID |
http://orcid.org/0000-0003-0595-2660 http://orcid.org/0000-0002-6136-1040 |
Keywords |
sustainable manufacturing flexible fixture decision making product innovation CAFD production planning locating chart |
Type | Article |
Date of Issue | 2022 |
URI | https://essuir.sumdu.edu.ua/handle/123456789/88017 |
Publisher | MDPI |
License | Creative Commons Attribution 4.0 International License |
Citation | Ivanov, V.; Botko, F.; Kolos, V.; Pavlenko, I.; Hatala, M.; Antosz, K.; Trojanowska, J. Locating Chart Choice Based on the Decision-Making Approach. Materials 2022, 15, 3557. https://doi.org/10.3390/ma15103557 |
Abstract |
Modern manufacturing engineering requires quick and reasonable solutions during the production planning stage, ensuring production efficiency and cost reduction. This research aims to create a scientific approach to the rational choice of a locating chart for complexly shaped parts. It is an important stage during the manufacturing technology and fixture design process. The systematization of the designed and technological features of complexly shaped parts and the definition of the features that impact a locating chart create the fundamentals for justification. A scientific approach has been developed using the complex combination of the part’s features and a decision-making approach using the example of bracket-type parts. The matrix of design and technological features of parts was developed including steel AISI 3135 and cast iron DIN 1691. The classification of locating charts for bracket-type parts was defined. A mathematical model of the rational choice of the locating chart according to the structural code of the workpiece was verified in case studies from the practice. As a result, a decision-making approach was applied to the rational choice of the locating chart for any bracket-type part. The proposed solutions improve the production planning stage for machine building, automotive, and other industries. |
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Ivanov_et_al_Locating_Chart_2022.pdf | 2.73 MB | Adobe PDF | 1349122 |
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