Enhancing Food Supply Chain Efficiency: A Consolidation Shipping Approach For Multi-Product and Multiechelon Meningkatkan Efisiensi Rantai Pasokan Pangan: Pendekatan Konsolidasi Pengiriman Untuk Multi-Produk dan Multiechelon

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Dwi Iryaning Handayani
Kurnia Iswardani
Haryono Haryono
Tri Prihatiningsih Prihatinigsih


This research applies the application of delivery consolidation in the context of a multi-product and multi-echelon food supply chain, as a strategy to address operational efficiency and cost management. The aim is to implement consolidation in multi-product and multi-echelon distribution systems, in order to optimize product placement and distribution efficiently. The method adopted is the Linear Programming model, which considers key variables such as the number of goods to be sent, delivery route, resource allocation, fleet capacity and delivery time limit. The research results show that shipment consolidation, by scheduling shipments that are delayed until the second or third day, allows combining orders into one large shipment, thereby increasing load and route efficiency, reducing trip frequency, and achieving significant transportation cost savings. This strategy successfully increased load and route efficiency, reduced the number of trips required, and resulted in substantial transportation cost savings. Using this method, the total shipping and storage costs are 1,328,834. This consolidation strategy has proven crucial in optimizing delivery types, in addition to facilitating more effective route planning, reducing travel distances and times, and resulting in significant operational cost savings.

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How to Cite
Handayani, D. I., Kurnia Iswardani, Haryono, H., & Prihatinigsih, T. P. (2023). Enhancing Food Supply Chain Efficiency: A Consolidation Shipping Approach For Multi-Product and Multiechelon. PROZIMA (Productivity, Optimization and Manufacturing System Engineering), 7(2), 154-167. https://doi.org/10.21070/prozima.v7i2.1673


[1] P.-O. Groß, J. F. Ehmke, and D. C. Mattfeld, “Cost-Efficient and Reliable City Logistics Vehicle Routing
with Satellite Locations under Travel Time Uncertainty,” Transportation Research Procedia, vol. 37, pp. 83–90, 2019, doi: 10.1016/j.trpro.2018.12.169.
[2] Y. Kush, M. Tonkoshkur, K. Vakulenko, A. Ryabev, N. Davidich, and A. Galkin, “The efficiency of food supply chain engineering (case study in Ukraine),” AoT, vol. 55, no. 3, pp. 51–71, Sep. 2020, doi: 10.5604/01.3001.0014.4222.
[3] Y.-C. Tsao, “Designing a Fresh Food Supply Chain Network: An Application of Nonlinear Programming,” Journal of Applied Mathematics, vol. 2013, pp. 1–8, 2013, doi: 10.1155/2013/506531.
[4] N. A. Mostafa and O. Eldebaiky, “A Sustainable Two-Echelon Logistics Model with Shipment Consolidation,” Logistics, vol. 7, no. 1, p. 18, Mar. 2023, doi: 10.3390/logistics7010018.
[5] D. Prajapati, S. Pratap, M. Zhang, Lakshay, and G. Q. Huang, “Sustainable forward-reverse logistics for multi-product delivery and pickup in B2C E-commerce towards the circular economy,” International Journal of Production Economics, vol. 253, p. 108606, Nov. 2022, doi: 10.1016/j.ijpe.2022.108606.
[6] B. Satır, F. S. Erenay, and J. H. Bookbinder, “Shipment consolidation with two demand classes: Rationing the dispatch capacity,” European Journal of Operational Research, vol. 270, no. 1, pp. 171–184, Oct. 2018, doi: 10.1016/j.ejor.2018.03.016.
[7] D. R. K. Jinagam, “A lagrangian relaxation approach to a multi-echelon consolidation of perishable products”.
[8] M. W. Iqbal, M. B. Ramzan, and A. I. Malik, “Food Preservation within Multi-Echelon Supply Chain Considering Single Setup and Multi-Deliveries of Unequal Lot Size,” Sustainability, vol. 14, no. 11, p. 6782, Jun. 2022, doi: 10.3390/su14116782.
[9] J. Chen, M. Dong, and L. Xu, “A perishable product shipment consolidation model considering freshness-keeping effort,” Transportation Research Part E: Logistics and Transportation Review, vol. 115, pp. 56–86, Jul. 2018, doi: 10.1016/j.tre.2018.04.009.
[10]A. Muñoz-Villamizar, J. C. Velazquez-Martínez, and S. Caballero-Caballero, “A large-scale last-mile consolidation model for e-commerce home delivery,” Expert Systems with Applications, vol. 235, p. 121200, Jan. 2024, doi: 10.1016/j.eswa.2023.121200.
[11]Chen, J., Ming, D., Chen, F.F., 2017. Joint decisions of shipment consolidation and dynamic pricing of food supply chains. Rob. Comput. Integr. Manuf. 43 (1), 135–147
[12]A. Barkley and K. Mcleod, “Congestion and consolidation: An empirical study of a barge shipping merger,” Regional Science and Urban Economics, vol. 93, p. 103725, Mar. 2022, doi: 10.1016/j.regsciurbeco.2021.103725.
[13]D. I. Handayani, I. Masudin, A. Rusdiansyah, and J. Suharsono, “Production-Distribution Model Considering Traceability and Carbon Emission: A Case Study of the Indonesian Canned Fish Food Industry,” Logistics, vol. 5, no. 3, p. 59, Sep. 2021, doi: 10.3390/logistics5030059.
[14]E. Hertini, J. Nahar, and A. K. Supriatna, “Application of linier fuzzy multi-objective programming model in travelling salesman problem,” J. Phys.: Conf. Ser., vol. 1722, no. 1, p. 012036, Jan. 2021, doi: 10.1088/1742-6596/1722/1/012036.
[15]R. Yuniarti, I. Masudin, A. Rusdiansyah, and D. I. Handayani, “Model of multiperiod production-distribution for closed-loop supply chain considering carbon emission and traceability for agri-food products,” IJIEOM, vol. 5, no. 3, pp. 240–263, Aug. 2023, doi: 10.1108/IJIEOM-10-2022-0045.
[16]Gearhart, J. L., Adair, K. L., Durfee, J. D., Jones, K. A., Martin, N., & Detry, R. J. (2013). Comparison of open-source linear programming solvers (No. SAND2013-8847). Sandia National Lab.(SNL-NM), Albuquerque, NM (United States).
[17]S. Çetinkaya, F. Mutlu, and B. Wei, “On the service performance of alternative shipment consolidation policies,” Operations Research Letters, vol. 42, no. 1, pp. 41–47, Jan. 2014, doi: 10.1016/j.orl.2013.11.003.
[18] Reis, S. A. D., Leal, J. E., & Thomé, A. M. T. (2023). A Two-Stage Stochastic Linear Programming Model for Tactical Planning in the Soybean Supply Chain. Logistics, 7(3), 49.
[19]B. Wei, S. Çetinkaya, and D. B. H. Cline, “Inbound replenishment and outbound dispatch decisions under hybrid shipment consolidation policies: An analytical model and comparison,” Transportation Research Part E: Logistics and Transportation Review, vol. 175, p. 103135, Jul. 2023, doi: 10.1016/j.tre.2023.103135.
[20]T. Ardliana, I. N. Pujawan, and N. Siswanto, “A mixed-integer linear programming model for multiechelon and multimodal supply chain system considering carbon emission,” Cogent Engineering, vol. 9, no. 1, p. 2044589, Dec. 2022, doi: 10.1080/23311916.2022.2044589.
[21]Q. Huang, S. Ohmori, and K. Yoshimoto, “Incorporating Transportation Mode Decisions into Production-Shipping Planning: Considering Shipping Consolidation,” OSCM: An Int. Journal, pp. 62–72, Dec. 2020, doi: 10.31387/oscm0440286.