| Title: | Assembly line optimization using MTM time standard and simulation modeling—A case study |
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| Authors: | ID Breznik, Matic (Author)
ID Buchmeister, Borut (Author)
ID Vujica-Herzog, Nataša (Author) |
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| Files: |  applsci-13-06265.pdf (3,25 MB)
MD5: 7A6206F48AD522A708187E9F1420A891
 https://www.mdpi.com/2076-3417/13/10/6265
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| Language: | English |
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| Work type: | Article |
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| Typology: | 1.01 - Original Scientific Article |
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| Organization: | FS - Faculty of Mechanical Engineering
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| Abstract: | This study presents an approach to solving the assembly line balancing problem (ALBP) using the Methods-Time Measurement (MTM) time standard and simulation software. ALBP is a common problem in manufacturing where a set of tasks with fixed times must be assigned to a series of sequential workstations in order to minimize the total idle time and reduce the assembly cost per product. This study uses MTM, a widely used production process scheduling method, to create a new time analysis of an assembly process that was previously balanced using the Work-Factor method and time study. This literature review shows that there are a lack of combinations of updated time analyses with newer simulation approaches in the current literature, and this was the motivation for the present work. An assembly line simulation was performed using Simio software to evaluate different design options and operating scenarios. The results show that the use of MTM and simulation can help minimize idle time and improve assembly line performance, thereby reducing costs and increasing efficiency. This study shows that the approach of using MTM and simulation is effective in solving ALBP and is a useful tool for manufacturing companies to improve the performance of their assembly lines and reduce costs. |
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| Keywords: | optimization, production planning, assembly line, MTM time standard, simulation, industry 4.0 |
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| Publication status: | Published |
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| Publication version: | Version of Record |
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| Submitted for review: | 24.04.2023 |
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| Article acceptance date: | 18.05.2023 |
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| Publication date: | 20.05.2023 |
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| Publisher: | MDPI |
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| Year of publishing: | 2023 |
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| Number of pages: | 18 str. |
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| Numbering: | Vol. 13, iss. 10, [article no.] 6265 |
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| PID: | 20.500.12556/DKUM-84326-336dc5b9-eeb9-01d7-d351-0bbab771d746  |
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| UDC: | 658.5:004.94 |
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| ISSN on article: | 2076-3417 |
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| COBISS.SI-ID: | 153079555 |
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| DOI: | 10.3390/app13106265 |
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| Publication date in DKUM: | 23.05.2023 |
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| Views: | 834 |
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| Downloads: | 168 |
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| Metadata: |    |
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| Categories: | Misc.
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