OPTIMIZING DELIVERY ROUTE BY APPLYING MILKRUN METHOD

Putri Setiani, Hanifah Fiddieny, Edhie Budi Setiawan, Diah Etika

Sari


Abstract: Efficiency of the optimal vehicle route to generate effective delivery is an important issue in the logistics world. The common methods usually practiced in delivery systems are direct shipment, indirect shipment and milk run method. The objective of this research is to analyze the optimization of delivery route by comparing direct shipment method to milk run method to obtain effective delivery. This research involved 8 suppliers and 1 delivery route from the total population of 18 suppliers at PT. Toyota Motor Manfacturing Indonesia and 4 delivery routes in Cikarang area. Data were analyzed by using Vehicle Routing Problem and saving matrix method. The result shows that the optimal delivery route can minimize the distance and vehicle leadtime, therefore, the total cost spent in the milkrun delivery process is cheaper than by applying direct shipment method. It can be concluded that regular parts shipment process by using milk run method is more effective than by using direct shipment method.
Keywords: Optimal Route, Milk Run, Direct Shipment


Teks Lengkap:

PDF

Referensi


References

Bell, J. E., & McMullen, P. R. (2004). Ant colony optimization techniques for the vehicle routing problem. Advanced Engineering Informatics, 18(1), 41–48. https://doi.org/10.1016/j.aei.2004.07.001

Endarwati, D. A., Mahmudy, W. F., & Ratnawati, D. E. (2014). Pencarian Rute Optimum Dengan Evolution Strategies. DORO: Repository Jurnal Mahasiswa PTIIK Universitas Brawijaya, 4(10). Retrieved from http://filkom.ub.ac.id/doro/

Iqbal, K. (2013). Fundamental Engineering Optimization Methods.

Jamilson, M., Souza, F., & Fluminense, U. F. (2011). A hybrid heuristic , based on Iterated Local Search and GENIUS , for the Vehicle Routing Problem with Simultaneous Pickup and Delivery Marcio Tadayuki Mine , Matheus de Souza Alves Silva , Luiz Satoru Ochi and Anand Subramanian, 10(2), 142–157.

Kilic, H. S., & Durmusoglu, M. B. (2012). Classification and modeling for in-plant milk-run distribution systems, 1135–1146. https://doi.org/10.1007/s00170-011-3875-4

Kovács, A. (2011). Optimizing the storage assignment in a warehouse served by milkrun logistics. International Journal of Production Economics, 133(1), 312–318. https://doi.org/10.1016/j.ijpe.2009.10.028

Li, J. A., Wu, Y., Lai, K. K., & Liu, K. (2008). Replenishment routing problems between a single supplier and multiple retailers with direct delivery. European Journal of Operational Research, 190(2), 412–420. https://doi.org/10.1016/j.ejor.2007.06.022

Nemoto, T., & Rothengatter, W. (2012). Efficient Green Logistics in Urban Areas: Milk Run Logistics in the Automotive Industry. Sustainable Transport for Chinese Cities (Vol. 3). Emerald Group Publishing Limited. https://doi.org/10.1108/S2044-9941(2012)0000003017

Poot, a, Kant, G., & Wagelmans, a P. M. (2002). A savings based method for real-life vehicle routing problems. Journal of the Operational Research Society, 53(1), 57–68. https://doi.org/10.1057/palgrave/jors/2601252

Pujawan&Mahendrawathi, institute teknologi sepuluh N. (2010). Supply CHain Management (2nd ed.). Guna Widya.

Raden Didiet Rachmat Simarmata, J. H., & Len Togas, N. (2015). Study on The Cause of Stock Out of Logistic Installation in Harapan Kita Hospital. Jurnal Manajemen Transportasi & Logistik, 2(1), 79–92.

S, T. I. H. (2016). MULTIMODA DALAM MEWUJUDKAN VISI LOGISTIK INDONESIA 2025, 69–84.

Sadjadi, S. J., Jafari, M., & Amini, T. (2009). A new mathematical modeling and a genetic algorithm search for milk run problem (an auto industry supply chain case study). International Journal of Advanced 756

Advances in Engineering Research (AER), volume 147

Manufacturing Technology, 44(1–2), 194–200. https://doi.org/10.1007/s00170-008-1648-5

Sari, L. M. (2015). PENGIRIMAN PRODUK ARNOTTS KE ALFAMART AREA JABODETABEK DAN BANTEN PT INTAN UTAMA LOGISTIK TAHUN 2015, (3), 11–20.

Supriyadi, S., Mawardi, K., & Nalhadi, A. (2017). Minimasi Biaya Dalam Penentuan Rute Distribusi Produk Minuman Menggunakan Metode Savings Matrix. Seminar Nasional Institut Supply Chain Dan Logistik Indonesia (ISLI), (September), 1–7. https://doi.org/DOI 10.17605/OSF.IO/2D9GP

Toth, P., & Vigo, D. (2002). Models, relaxations and exact approaches for the capacitated vehicle routing problem. Discrete Applied Mathematics, 123(1–3), 487–512. https://doi.org/10.1016/S0166-218X(01)00351-1

Witlox, F. (2007). Logistics systems for sustainable cities. Cities, 24(6), 462–463. https://doi.org/10.1016/j.cities.2007.07.003.


Refbacks

  • Saat ini tidak ada refbacks.