Issue |
E3S Web of Conf.
Volume 465, 2023
8th International Conference on Industrial, Mechanical, Electrical and Chemical Engineering (ICIMECE 2023)
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Article Number | 02034 | |
Number of page(s) | 7 | |
Section | Symposium on Electrical, Information Technology, and Industrial Engineering | |
DOI | https://doi.org/10.1051/e3sconf/202346502034 | |
Published online | 18 December 2023 |
Workshop Location Selection using Best Worst Method (BWM) and Additive Ratio Assessment
Universitas Jenderal Soedirman, Industrial Engineering Department, Engineering Faculty, Purwokerto, Indonesia
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.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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