A Hybrid BWM–Sustainable VSM Framework for Assessing Manufacturing Sustainability: Evidence from Indonesia's Coffee Industry
DOI:
https://doi.org/10.22219/JTIUMM.Vol26.No2.201-220Keywords:
Sustainable Manufacturing, Best Worst Method, Value Stream Mapping, Agroindustry, Manufacturing Sustainability IndexAbstract
Sustainability in the manufacturing industry is a strategic issue that encompasses economic, environmental, and social aspects. However, there is still a limited number of comprehensive and consistent evaluation approaches to assess sustainability performance quantitatively and in an integrated manner. This study aims to develop a new evaluation framework that combines the Delphi method, Best-Worst Method (BWM), and Sustainable Value Stream Mapping (Sus-VSM), supported by Traffic Light System (TLS) visualisation, to assess manufacturing sustainability performance holistically. The Delphi method is employed to identify relevant sustainability indicators in accordance with the Triple Bottom Line principle. At the same time, BWM is applied to determine the priority weight of each indicator. Furthermore, indicator efficiency is measured using a specific formula and visualised in a Sus-VSM process map equipped with a TLS colour system. A case study was conducted on the coffee processing industry in Indonesia. The results indicate that time and inventory indicators exhibit low efficiency levels, particularly during the stages of raw material reception, washing, packaging, and storage. On the other hand, quality and cost criteria contributed most to overall weight globally, consistent with the company management priority on economy. The score of the Manufacturing Sustainability Index (MSI) was 80.95% indicating a reasonable performance level in sustainability, but with considerable potential for further improvement, especially on social and environmental issues. The resultant framework was demonstrated to be helpful in charting total sustainable performance, and it can ultimately be utilised as a strategic decision support system. Theoretically, this study contributes to the development of manufacturing sustainability evaluation methods. In practice, this framework can be implemented to improve process efficiency and operational sustainability in the agro-industry sector.
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