Supplier selection is essential to the business. The risks faced by suppliers would have a direct effect on the success of the product. Each business has distinct supplier features to mitigate. These characteristics are divided into criteria for selection in suppliers. This research, the criteria in supplier selection will be weighted by best worst method (BWM) and comparing the three ranking methods, complex proportional assessment (COPRAS), multi-objective optimization with ratio analytic (MOORA) and technique for order preference by similarity to ideal solution (TOPSIS). The sample in this study is an ABC manufacturing company engaged in mining from Indonesia. From the results of the study, there were 16 criteria using the Delphi Method. These criteria are divided into four main criteria, namely service, quality, cost and time. From the results of weighting BWM, the price sub criteria on cost criteria have the greatest weight for ABC companies. The results of the weighting are then carried out by supplier ranking by comparing the COPRAS, MOORA and TOPSIS approaches. In comparing these three methods, approaches are used based on accuracy and complexity. The COPRAS method has the highest accuracy and lowest complexity according to the ABC company.
|Number of pages
|Indonesian Journal of Electrical Engineering and Computer Science
|Published - Aug 2020
- Best worst method
- Multi criteria decision method
- Supplier selection