Workshop Location Selection using Best Worst Method (BWM) and Additive Ratio Assessment
Selecting the best new workshop location is one of the businesses that can support a company's success. In this study, we used two combined methods: the BWM method was used to determine the weight of the criteria and to evaluate new location alternatives against the site selection criteria, whi...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
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EDP Sciences
2023-01-01
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Series: | E3S Web of Conferences |
Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/102/e3sconf_icimece2023_02034.pdf |
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author | Krisnawati Maria Fahrezi Yoga Lintang Sofiana Amanda Waluyo Sugeng Sibarani Ayu Anggraeni |
author_facet | Krisnawati Maria Fahrezi Yoga Lintang Sofiana Amanda Waluyo Sugeng Sibarani Ayu Anggraeni |
author_sort | Krisnawati Maria |
collection | DOAJ |
description | Selecting the best new workshop location is one of the businesses that can support a company's success. In this study, we used two combined methods: the BWM method was used to determine the weight of the criteria and to evaluate new location alternatives against the site selection criteria, while the ARAS method was used to rank the location alternatives. This study was conducted by collecting data on criteria for choosing the best location, which are profit (price and market), convenience (workshop access, land area, and environment), and support (location of suppliers and labor). The best new workshop location is obtained by filling out the BWM questionnaire for weighting each criterion and evaluating location alternatives, and then ranking the location alternative using the ARAS method. The numerical example of a case study shows that location K2 was chosen as the best new location for the welding workshop because it has the highest score in the alternative ranking of 0.9713. Hence, by combining BWM dan ARAS methods, the decision maker could make their best decision for selecting their new workshop location with multicriteria consideration. |
first_indexed | 2024-03-08T11:11:06Z |
format | Article |
id | doaj.art-17fb8f51f9b7410ba24e275f0e1d2324 |
institution | Directory Open Access Journal |
issn | 2267-1242 |
language | English |
last_indexed | 2024-03-08T11:11:06Z |
publishDate | 2023-01-01 |
publisher | EDP Sciences |
record_format | Article |
series | E3S Web of Conferences |
spelling | doaj.art-17fb8f51f9b7410ba24e275f0e1d23242024-01-26T10:42:38ZengEDP SciencesE3S Web of Conferences2267-12422023-01-014650203410.1051/e3sconf/202346502034e3sconf_icimece2023_02034Workshop Location Selection using Best Worst Method (BWM) and Additive Ratio AssessmentKrisnawati Maria0Fahrezi Yoga Lintang1Sofiana Amanda2Waluyo Sugeng3Sibarani Ayu Anggraeni4Universitas Jenderal Soedirman, Industrial Engineering Department, Engineering FacultyUniversitas Jenderal Soedirman, Industrial Engineering Department, Engineering FacultyUniversitas Jenderal Soedirman, Industrial Engineering Department, Engineering FacultyUniversitas Jenderal Soedirman, Industrial Engineering Department, Engineering FacultyUniversitas Jenderal Soedirman, Industrial Engineering Department, Engineering FacultySelecting the best new workshop location is one of the businesses that can support a company's success. In this study, we used two combined methods: the BWM method was used to determine the weight of the criteria and to evaluate new location alternatives against the site selection criteria, while the ARAS method was used to rank the location alternatives. This study was conducted by collecting data on criteria for choosing the best location, which are profit (price and market), convenience (workshop access, land area, and environment), and support (location of suppliers and labor). The best new workshop location is obtained by filling out the BWM questionnaire for weighting each criterion and evaluating location alternatives, and then ranking the location alternative using the ARAS method. The numerical example of a case study shows that location K2 was chosen as the best new location for the welding workshop because it has the highest score in the alternative ranking of 0.9713. Hence, by combining BWM dan ARAS methods, the decision maker could make their best decision for selecting their new workshop location with multicriteria consideration.https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/102/e3sconf_icimece2023_02034.pdf |
spellingShingle | Krisnawati Maria Fahrezi Yoga Lintang Sofiana Amanda Waluyo Sugeng Sibarani Ayu Anggraeni Workshop Location Selection using Best Worst Method (BWM) and Additive Ratio Assessment E3S Web of Conferences |
title | Workshop Location Selection using Best Worst Method (BWM) and Additive Ratio Assessment |
title_full | Workshop Location Selection using Best Worst Method (BWM) and Additive Ratio Assessment |
title_fullStr | Workshop Location Selection using Best Worst Method (BWM) and Additive Ratio Assessment |
title_full_unstemmed | Workshop Location Selection using Best Worst Method (BWM) and Additive Ratio Assessment |
title_short | Workshop Location Selection using Best Worst Method (BWM) and Additive Ratio Assessment |
title_sort | workshop location selection using best worst method bwm and additive ratio assessment |
url | https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/102/e3sconf_icimece2023_02034.pdf |
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