Optimization of Cold Chain Distribution Network in Fisheries Logistics Using Green Field Analysis and Network Optimization: A Case Study of PT. X
Abstract
Abstract
The fisheries logistics system requires efficient cold chain management to maintain product quality while minimizing distribution costs. PT. X in Indramayu faces operational challenges, including low utilization of cold storage capacity, long distribution distances to major markets, and high logistics costs. This study aims to provide recommendations for the most operationally and financially advantageous distribution center (DC) location and network configuration. The research employs approach combined with Green Field Analysis (GFA) and Network Optimization (NO) using the anyLogistix software, with historical data from 2025 used as model inputs. The simulation results indicate that selecting an appropriate DC configuration can improve distribution efficiency, reduce total logistics costs, and enhance customer service levels without increasing operational risk. The novelty of this study lies in the application of integrated simulation as a strategic decision support tool in the fisheries industry. The practical implication of this research is the provision of a more effective and sustainable logistics network planning framework for cold storage operators in managing supply and demand uncertainty.
Keywords: Fisheries logistics; cold storage; distribution center; system simulation; green field analysis; network optimization;
REFERENCESAlkahtani, M., Alotaibi, A., & Alharbi, S. (2024). Optimization of temperature-controlled logistics networks to improve service reliability and reduce operational risk. Journal of Supply Chain and Logistics Management, 15(1), 45–60.
Bounadi, A., El Barkany, A., & Daghouri, A. (2024). Greenfield analysis and network optimization for cost-efficient supply chain design. International Journal of Industrial Engineering and Management, 13(2), 101–114.
Hou, J., Liu, Y., Liu, S., & Cai, C. (2025). Optimization of Multi-depot Semi-open Cold-Chain Logistics Paths Under Time-Dependent Road Networks. International Journal of Computational Intelligence Systems, 18(1).
Iskandar, B., Nugraha, R., & Prasetyo, E. (2022). Application of green field analysis in supply chain network design. International Journal of Logistics Systems and Management, 41(3), 289–304.
Lin, Y. (2024). Optimization and Benefit Assessment of Cold Chain Logistics Network in Southeast Asia Based on Big Data Analysis. 497–503.
Longo, F., Padovano, A., & Umbrello, S. (2024). Simulation-based decision support for strategic supply chain network design. Simulation Modelling Practice and Theory, 129, 102760.
Moqbel, M., Alsharif, A., & Hasan, R. (2025). Integrated network optimization approaches in energy and commodity supply chains. Journal of Cleaner Production, 402, 137201.
Nozari, H., Rahmaty, M., Foukolaei, P. Z., Movahed, H., & Bayanati, M. (2025). Optimizing Cold Chain Logistics with Artificial Intelligence of Things (AIoT): A Model for Reducing Operational and Transportation Costs. Future Transportation, 5(1). https://doi.org/10.3390/futuretransp5010001
Pan, L., & Shan, M. (2024). Optimization of Sustainable Supply Chain Network for Perishable Products. Sustainability (Switzerland), 16(12). https://doi.org/10.3390/su16125003
Rahman, M. S., Hasan, M. M., & Ali, S. M. (2019). Cold chain logistics management for perishable food: A review. Journal of Supply Chain Management Perspectives, 8(2), 1–10
Ran, H., He, D., & Tang, H. (2025). Network Optimization of Fresh Products Cold Chain Considering Supply Disruption and Demand Fluctuation Under the Dual-Carbon Policy. Mathematics, 13(9). https://doi.org/10.3390/math13091539
Rushton, A., Croucher, P., & Baker, P. (2022). The handbook of logistics and distribution management (7th ed.). Kogan Page.
Shashi, S., Centobelli, P., Cerchione, R., & Ertz, M. (2021). Managing supply chain resilience to pursue business and environmental strategies. Business Strategy and the Environment, 30(3), 1215–1236.
Wang, X., Wan, J., & Huang, J. (2024). Optimization Study of Cold Chain Logistics Distribution Path Considering Carbon Emission and Time Window Constraints (pp. 942–953). https://doi.org/10.2991/978-94-6463-570-6_94
Zhao, J. (2025). Research on Optimization Strategies for Cold Chain Logistics of Fresh Food in Cross border E-commerce (Vol. 20, Number 2).
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