Enhancing Supply Chain Performance Literacy through Community Education on Intelligent Supply Chain Measurement

Authors

  • Filscha Nurprihatin Department of Industrial Engineering, Sampoerna University, Jakarta https://orcid.org/0000-0002-4528-2465
  • Rifa Nur Khairunnisa International Supply Chain and Quality Academy, Jakarta
  • Julliete Angel Luin International Supply Chain and Quality Academy, Jakarta https://orcid.org/0000-0003-4714-1284
  • Nur Rizka Mardhatillah International Supply Chain and Quality Academy, Jakarta

DOI:

https://doi.org/10.35806/

Keywords:

Community service, supply chain performance, Industry 4.0, sustainability, intelligent supply chain

Abstract

This paper reports on a community service program designed to enhance students' and early-career professionals' understanding of intelligent supply chain performance measurement. The workshop was undertaken on 26 November 2022, with anticipation of increased demand for skills and competency in lean, agile, sustainable, and digitally enabled supply chains. It utilized qualitative and quantitative performance measures, intelligent supply chain, and Industry 4.0. The program developed an interactive learning strategy based on lectures, case studies, and feedback. Evaluations conducted by participants indicated a significant increase in knowledge, with over 85 percent reporting an increased readiness to use performance measurement frameworks. Overall, the results indicate that this approach is scalable for more community engagement and can assist in developing a sustainable workforce for an innovative-ready supply chain.

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References

Birkel, H., & Müller, J. M. (2021). Potentials of industry 4.0 for supply chain management within the triple bottom line of sustainability – A systematic literature review. Journal of Cleaner Production, 289, 1–14. https://doi.org/10.1016/j.jclepro.2020.125612

De, D., Chowdhury, S., Dey, P. K., & Ghosh, S. K. (2020). Impact of lean and sustainability oriented innovation on sustainability performance of small and medium sized enterprises: A data envelopment analysis-based framework. International Journal of Production Economics, 219. https://doi.org/10.1016/j.ijpe.2018.07.003

Esmaeilian, B., Sarkis, J., Lewis, K., & Behdad, S. (2020). Blockchain for the future of sustainable supply chain management in Industry 4.0. Resources, Conservation and Recycling, 163, 1–15. https://doi.org/10.1016/j.resconrec.2020.105064

Ghadge, A., Mogale, D. G., Bourlakis, M., Maiyar, M. L., & Moradlou, H. (2022). Link between Industry 4.0 and green supply chain management: Evidence from the automotive industry. Computers and Industrial Engineering, 169, 1–14. https://doi.org/10.1016/j.cie.2022.108303

Mastrocinque, E., Ramírez, F. J., Honrubia-Escribano, A., & Pham, D. T. (2022). Industry 4.0 enabling sustainable supply chain development in the renewable energy sector: A multi-criteria intelligent approach. Technological Forecasting and Social Change, 182, 1–17. https://doi.org/10.1016/j.techfore.2022.121813

Nurprihatin, F., Angely, M., & Tannady, H. (2019). Total productive maintenance policy to increase effectiveness and maintenance performance using overall equipment effectiveness. Journal of Applied Research on Industrial Engineering, 6(3), 184–199. https://doi.org/10.22105/jarie.2019.199037.1104

Nurprihatin, F., Elvina, Rembulan, G. D., Christianto, K., & Hartono, H. (2021). Decision support system for truck scheduling in logistic network through cross-docking strategy. Journal of Physics: Conference Series, 1–10. https://doi.org/10.1088/1742-6596/1811/1/012009

Nurprihatin, F., Gotami, M., & Rembulan, G. D. (2021). Improving the performance of planning and controlling raw material inventory in food industry. International Journal of Research in Industrial Engineering, 10(4), 332–345. https://doi.org/10.22105/riej.2021.306872.1250

Nurprihatin, F., Regina, T., & Rembulan, G. D. (2021). Optimizing rice distribution routes in Indonesia using a two-step linear programming considering logistics costs. Journal of Physics: Conference Series, 1–8. https://doi.org/10.1088/1742-6596/1811/1/012010

Qader, G., Junaid, M., Abbas, Q., & Mubarik, M. S. (2022). Industry 4.0 enables supply chain resilience and supply chain performance. Technological Forecasting and Social Change, 185, 1–12. https://doi.org/10.1016/j.techfore.2022.122026

Rad, F. F., Oghazi, P., Palmié, M., Chirumalla, K., Pashkevich, N., Patel, P. C., & Sattari, S. (2022). Industry 4.0 and supply chain performance: A systematic literature review of the benefits, challenges, and critical success factors of 11 core technologies. Industrial Marketing Management, 105, 268–293. https://doi.org/10.1016/j.indmarman.2022.06.009

Xie, Y., Yin, Y., Xue, W., Shi, H., & Chong, D. (2020). Intelligent supply chain performance measurement in Industry 4.0. Systems Research and Behavioral Science, 37(4), 711–718. https://doi.org/10.1002/sres.2712

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Published

2026-05-19

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Section

Articles

How to Cite

Enhancing Supply Chain Performance Literacy through Community Education on Intelligent Supply Chain Measurement (F. Nurprihatin, R. N. Khairunnisa, J. A. Luin, & N. R. Mardhatillah , Trans.). (2026). Journal of Community Services: Sustainability and Empowerment, 6(01), 1-14. https://doi.org/10.35806/