OPTIMISATION OF MATERIAL, INFORMATION AND MONEY FLOW IN SUPPLY CHAIN MANAGEMENT

Authors

  • Hery Purnomo Prodi Manajemen, Fakultas Ekonomi Dan Bisnis, Universitas Nusantara PGRI Kediri Author
  • Subagyo Subagyo Magister Pendidikan Ekonomi, Fakultas Ekonomi Dan Bisnis, Universitas Nusantara PGRI Kediri Author
  • Faisol Faisol Prodi Akuntansi, Fakultas Ekonomi Dan Bisnis, Universitas Nusantara PGRI Kediri Author
  • Dodi Kusuma Hadi Soejoko Prodi Manajemen, Fakultas Ekonomi Dan Bisnis, Universitas Nusantara PGRI Kediri Author
  • Poniran Yudho Leksono Prodi Manajemen, Fakultas Ekonomi Dan Bisnis, Universitas Nusantara PGRI Kediri Author

Keywords:

supply chain management, material flow, information flow, money flow, optimisation, integration, efficiency

Abstract

This study aims to examine strategies for optimising the flow of materials, information and money in supply chain management (SCM) through the literature review method. Effectively integrated SCM can improve operational efficiency, accelerate response to market demand, and strengthen the company's competitiveness. Material flow optimisation is achieved through accurate demand planning, efficient inventory management, and strategic partnerships with suppliers. Meanwhile, optimised information flow is achieved by the application of digital technology, integration of information systems, and data transparency between supply chain actors. Efficient money flow management involves financial system integration, receivables and payables management, and the utilisation of supply chain finance. The study results show that the synergy of the three flows, supported by technology and collaboration, is essential to create an adaptive, responsive, and sustainable supply chain. This research is expected to be a reference for practitioners and academics in developing more effective supply chain management strategies in the era of global competition.

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References

Alam, N., & Tui, S. (2022). Pengaruh Supply Chain Management Terhadap Keunggulan Kompetitif dan Kinerja pada Perusahaan Manufaktur. YUME: Journal of Management, 5(3), 367–382.

Alkahtani, M. (2022). Supply Chain Management Optimization and Prediction Model Based on Projected Stochastic Gradient. Sustainability, 14(6), 3486. https://doi.org/10.3390/su14063486

Anggraini, F., Putri, A. I., Agustin, A., Neriana, & Sari, R. (2025). Analisis Tren Penerapan Supply Chain di Berbagai Sektor: Tinjauan Literatur Sistematis. Integrative Perspectives of Social and Science Journal (IPSSJ), 2(2), 2138–2149.

Anisa, L. N., Andawiah, S., Utama, D. P., & Afan, I. (2025). Implementasi Supply Chain Management untuk Meningkatkan Kinerja Logistik Perusahaan. Jurnal Masharif Al-Syariah: Jurnal Ekonomi Dan Perbankan Syariah, 10(1), 460–471.

Aulia, D., Supaya, S., & Nurkhayati, I. (2020). Pengaruh Implementasi Internal Supply Chain Management Terhadap Kinerja Operasional Perusahaan (Studi Kasus pada PT. Pan Brothers Tbk, Boyolali). Business Accounting Review, 1(2), 183–192.

Bolderston, A. (2008). Writing an Effective Literature Review. Journal of Medical Imaging and Radiation Sciences, 71–76.

Chen, L., & Zhang, Y. (2020). Data-driven supply chain optimization: A review. Computers & Industrial Engineering, 149, 106821. https://doi.org/10.1016/j.cie.2020.106821

Choi, T. M. (2021). Innovative supply chain optimization with artificial intelligence. Transportation Research Part E: Logistics and Transportation Review, 145, 102174. https://doi.org/10.1016/j.tre.2020.102174

Chopra, S., & Meindl, P. (2007). Supply Chain Management: Strategy, Planning & Operation. Springer.

Christopher, M. (2016). Logistics & Supply Chain Management. Pearson UK.

Dalal, S. (2024). Improving efficiency and sustainability via supply chain optimization. Technological Forecasting and Social Change, 205, 122345. https://doi.org/10.1016/j.techfore.2024.122345

Dong, Y. (2022). Optimization and Analysis of Raw Material Supply Chain Based on Computational Intelligence. Journal of Computer Networks and Communications. https://doi.org/10.1155/2022/8683598

Eliyah, E., & Aslan, A. (2025). STAKE’S EVALUATION MODEL: METODE PENELITIAN. Prosiding Seminar Nasional Indonesia, 3(2), Article 2.

Handfield, R., Sun, H., & Rothenberg, L. (2020). Assessing Supply Chain Risk for Apparel Production in Low Cost Countries using Newsfeed Analysis. Supply Chain Management: An International Journal, 25(6), 803–821.

Ivanov, D. (2021). Digital supply chain management and technology to enhance resilience and optimization. International Journal of Production Research, 59(16), 4862–4880. https://doi.org/10.1080/00207543.2021.1956677

Judijanto, L., Riandari, F., & Marsoit, P. T. (2024). Leveraging AI for optimization in supply chain decision support: Enhancing predictive accuracy. Jurnal Teknik Informatika C.I.T Medicom, 16(3), 171–184. https://doi.org/10.35335/cit.Vol16.2024.858.pp171-184

Kumar, A., & Mangla, S. K. (2020). Supply chain optimization for circular economy: A review. Journal of Cleaner Production, 276, 123225. https://doi.org/10.1016/j.jclepro.2020.123225

Li, J., & Wang, S. (2021). Supply chain finance and optimization: A systematic review. Omega, 102, 102312. https://doi.org/10.1016/j.omega.2020.102312

Li, S., & Li, J. (2021). Optimization of supply chain finance with digital technologies. Omega, 102, 102312. https://doi.org/10.1016/j.omega.2020.102312

Li, X., & Li, Y. (2020). Multi-objective optimization for supply chain network design. Expert Systems with Applications, 159, 113594. https://doi.org/10.1016/j.eswa.2020.113594

Lohakare, S., Chavhan, K., Lohi, R., Nagrikar, R., & Ganorkar, S. S. (2025). Supply Chain Optimization in Manufacturing. International Journal for Research in Applied Science and Engineering Technology, 13(5), 70686. https://doi.org/10.22214/ijraset.2025.70686

Octaviany, T., & Gunawan, A. (2023). Mengoptimalkan Manajemen Persediaan Melalui Teknologi Rantai Pasokan. Journal of Informatics and Business, 1(3), 150–155.

Putra Permana, K. B. (2023). Analisis Peran Supply Chain Management (SCM) dalam Meningkatkan Kinerja Perusahaan. COMSERVA: Jurnal Penelitian Dan Pengabdian Masyarakat, 3(06), 2275–2287.

Retnowo, M., & Waluyo, A. F. (2022). Penerapan Supply Chain Management untuk Mengoptimalkan Produksi Berdasarkan Persediaan Barang. Jurnal Information System & Artificial Intelligence, 2(2), 157–164.

Saghafian, S., & Van Oyen, M. P. (2021). Operations research and supply chain optimization in healthcare. Operations Research for Health Care, 28, 100288. https://doi.org/10.1016/j.orhc.2020.100288

Setyorini, R., & Purwanti, P. (2025). Optimalisasi Manajemen Persediaan: Strategi Meningkatkan Efisiensi dan Mengurangi Biaya dalam Operasi Rantai Pasokan. Jurnal Akuntansi Keuangan Dan Perpajakan, 1(3), 210–215.

Singh, S., & Modgil, S. (2020). Supply chain optimization using IoT and big data analytics. Computers & Industrial Engineering, 149, 106895. https://doi.org/10.1016/j.cie.2020.106895

Wang, Y., & Li, X. (2022). Blockchain-based supply chain optimization: A review and future directions. Computers & Industrial Engineering, 162, 107746. https://doi.org/10.1016/j.cie.2021.107746

Xu, Z., Elomri, A., Baldacci, R., Kerbache, L., & Wu, Z. (2024). Frontiers and trends of supply chain optimization in the age of industry 4.0: An operations research perspective. Annals of Operations Research. https://doi.org/10.1007/s10479-024-05879-9

Yan, D. (2022). Optimization and Analysis of Raw Material Supply Chain Based on Computational Intelligence. Journal of Computer Networks and Communications. https://doi.org/10.1155/2022/8683598

Yu, M., & Xu, X. (2020). Supply chain network optimization with sustainability considerations. Computers & Operations Research, 123, 105047. https://doi.org/10.1016/j.cor.2020.105047

Zhang, H., & Wang, Y. (2021). Optimization of supply chain with blockchain technology. Computers & Industrial Engineering, 151, 106948. https://doi.org/10.1016/j.cie.2020.106948

Zhang, Y., & Qian, C. (2021). Green supply chain optimization under carbon emission regulations. Journal of Cleaner Production, 278, 123956. https://doi.org/10.1016/j.jclepro.2020.123956

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Published

2025-07-20

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