Milk Run Strategy Optimization with AnyLogistix: Chemical Product Distribution in Indonesia

الموضوعات :

Adji Candra Kurniawan ¹ , Yelita Anggiane Iskandar ² , Resista Vikaliana ³ , Rahmad Inca Liperda ⁴ , I. D. G. Yogindra Adipramana ⁵ , Theodora Rinda Hernawati ⁶ , Delinda Amarajaya ⁷ , Nanda Ruswandi ⁸

1 - Faculty of Industrial Engineering, Universitas Pertamina, Jl. Teuku Nyak Arief, South Jakarta, 12220, Indonesia
2 - Faculty of Industrial Engineering, Universitas Pertamina, Jl. Teuku Nyak Arief, South Jakarta, 12220, Indonesia
3 - Faculty of Industrial Engineering, Universitas Pertamina, Jl. Teuku Nyak Arief, South Jakarta, 12220, Indonesia
4 - Industrial Engineering Department, Faculty of Engineering, Universitas Andalas, Padang, 25175, Indonesia
5 - Faculty of Industrial Engineering, Universitas Pertamina, Jl. Teuku Nyak Arief, South Jakarta, 12220, Indonesia
6 - Faculty of Industrial Engineering, Universitas Pertamina, Jl. Teuku Nyak Arief, South Jakarta, 12220, Indonesia
7 - Faculty of Industrial Engineering, Universitas Pertamina, Jl. Teuku Nyak Arief, South Jakarta, 12220, Indonesia
8 - Faculty of Industrial Engineering, Universitas Pertamina, Jl. Teuku Nyak Arief, South Jakarta, 12220, Indonesia

تاريخ الإرسال : 20 الأربعاء , ربيع الثاني, 1446 تاريخ التأكيد : 06 الأربعاء , شعبان, 1446

الکلمات المفتاحية: anyLogistix, Milk Run, Product Distribution, Transportation Cost, Transportation Optimization,

ملخص المقالة :

This study focuses on the optimization of transportation routes for the distribution of chemical products Product X in the Jabodetabek and Karawang areas using the Transportation Optimization (TO) module in AnyLogistix software. This study uses a trial-and-error approach on the parameter "maximum number of customers in one route" to find the most optimal scenario in terms of transportation costs and distance traveled. Four scenarios are generated with different maximum numbers of customers per route, ranging from 3 to 6 customers. The results show that scenario 3, with a maximum of 5 customers per route, produces the lowest total transportation cost of IDR 36,113,000 and a total distance traveled of 12,235 km. Scenario 4, with 6 customers per route, increases transportation costs to IDR 38,808,000 due to the increase in the number of direct shipments due to distance constraints. This study highlights the importance of balancing the number of direct shipments, customer grouping, and route optimization to achieve cost efficiency. This study suggests that companies consider the use of heterogeneous vehicles and sourcing policies involving additional facilities for further optimization. Additional simulations using the simulation module (SIM) in AnyLogistix are also proposed to simulate facility costs and transportation mode selection in more detail.

المصادر:

Andoh, E. A., & Yu, H. (2022). A two-stage decision-support approach for improving sustainable last-mile cold chain logistics operations of COVID-19 vaccines. Annals of Operations Research.
AnyLogistix. (2019, June 4). Webinar: Transportation Optimization - Combining Analytical and Simulation Approaches. Retrieved from https://www.youtube.com/watch?v=AjdPbGkHVWM&t=1566s
Brar, G. S., & Saini, G. (2011). Milk Run Logistics: Literature Review and Directions. Proceedings of the World Congress on Engineering 2011 Vol 1. London: WCE.
Bruglieri, M., Mancini, S., & Pisacane, O. (2019). The green vehicle routing problem with capacitated alternative fuel stations. Computers and Operations Research, 112. doi:https://doi.org/10.1016/j.cor.2019.07.017
Dima, I. C., & Man, M. (2012). Information Engineering and Its Influence on Adopting The Decision In Economic Organisational Entities. Studia Universitas Petru, Series Economica, Fasciculus 1, anul VI.
Dornemann, J. (2023). Solving The Capacitated Vehicle Routing Problem with Time Windows via Graph Convolutional Network Assisted Tree Search and Quantum-Inspired Computing. Frontiers in Applied Mathematics and Statistics.
Elisabeth, C. R., & Nurhayati, N. (2019). Analisis Biaya Transportasi Dalam Distribusi Pengiriman Barang (Studi Kasus PT. Pos Logistik Indonesia BO Bandung). Jurnal Akuntansi.
Grabara, J., Kolcun, M., & Kot, S. (2014). The Role of Information Systems in Transport. International Journal of Education and Research, 1-8.
Hsueh, C.-F. (2017). A Vehicle Routing Problem with Consideration of Green Transportation. Journal of Management and Sustainability, 7(4), 89-97.
Jauhar, F. (2016). Perencanaan Rute Transportasi Terpendek Menggunakan Metode Heuristik (Studi Kasus: UD. Adinata, Makassar). Industrial Engineering Undergraduate Thesis Universitas Katolik Widya Mandala Surabaya.
Logistics Management. (2016). Making the Case for Transportation Optimization. MercuryGate.
Mauliddina, A. N., Saifuddin, F. A., Nagari, A. L., Redi, A. N., Kurniawan, A. C., & Ruswandi, N. (2020). Implementation of discrete particle swarm optimization algorithm in the capacitated vehicle routing problem. Jurnal Sistem dan Manajemen Industri, 4(2), 117-128.
MercuryGate. (2016, August 15). Logistics Management. Retrieved from Making The Case for Transport Optimization: https://www.logisticsmgmt.com/article/transportation_optimization/resources#:~:text=Making%20the%20Case%20for%20Transportation%20Optimization%20Transportation%20optimization,realistic%20load%20plans%20that%20reduce%20overall%20freight%20spend.
Pacheco-Vega, R. (2021, January 28). Skimming articles using the AIC (Abstract,Introduction, Conclusion) Method, plus an AIC-> Synthetic Note Template for undergraduates (and graduates!) . Retrieved from Raul Pacheco-Vega, PhD: http://www.raulpacheco.org/2021/01/skimming-articles-using-the-aic-abstractintroduction-conclusion-method-plus-an-aic-synthetic-note-template-forundergraduates-and-graduates/
PT ABC. (2023). Annual Report 2022. Copenhagen: PT ABC.
Purwanti, T. (2022, October 13). Pajak Karbon Ditunda Sampai 2025. (CNBC) Retrieved May 3, 2024, from https://www.cnbcindonesia.com/news/20221013175437-4-379582/pajak-karbon-ditunda-sampai-2025
Putri, C. A. (2023, February 2). Pajak Karbon di RI 'Ngaret', Sri Mulyani: Ini Rumit! Retrieved from CNBC Indonesia: https://www.cnbcindonesia.com/news/20230201192011-4-410188/pajak-karbon-di-ri-ngaret-sri-mulyani-ini-rumit
Redi, A. N., Jewpanya, P., Kurniawan, A. C., Persada, S. F., Nadlifatin, R., & Dewi, O. A. (2020). A Simulated Annealing Algorithm for Solving Two-Echelon Vehicle Routing Problem with Locker Facilities. Algorithms, 13, 218.
Selçuk, A. A. (2019). A Guide for Systematic Reviews: PRISMA. Turkish Archives of Otorhinolaryngology, 57-58.
Setiani, P., Fiddieny, H., Setiawan, E. B., & Cahyanti, D. E. (2017). Optimizing Delivery Route By Applying Milkrun Method. Conference on Global Research on Sustainable Transport.
Setiani, P., Fiddieny, H., Setiawan, E. B., & Cahyanti, D. E. (2017). Optimizing Delivery Route By Applying Milkrun Method. Conference on Global Research on Sustainable Transport (pp. 748-757). Atlantis Press.
Setiawan, D., & Benedictus, R. (2021). Pengoptimalan Inventory Level dan Cost dengan Menerapkan Direct Delivery System dan Milk-run Study pada Pengiriman Barang di PT SEMB. Jurnal Titra, 41-46.
Setiawati, K., & Tenriajeng, A. T. (2021). Optimasi Biaya Operasional MRT Jakarta Fase I Menggunakan Metode Vogel Approximation Dengan Software POM-QM For Windows. Teras Jurnal.
Tordecilla, R. D., Juan, A. A., Montoya-Torres, J. R., Quintero-Araujo, C. L., & Panadero, J. (2021). Simulation-optimization methods for designing and assessing resilient supply chain networks under uncertainty scenarios: A review. Simulation Modelling Practice and Theory, 106.
Trifu, A., Smîdu, E., Badea, D. O., Bulboacă, E., & Haralambie, V. (2022). Applying the PRISMA Method For Obtaining Systematic Reviews of Occupational Safety Issues in Literature Search. MATEC Web of Conferences. EDP Sciences.
Wahyuningsih, S., Satyananda, D., Octoviana, L. T., & Nurhakiki, R. (2019). Vehicle Routing Problem with Time Windows Variants and its Application in Distribution Optimization. MSOpen, 24-35.
Wilkinson, G. (2017, December 12). AnyLogistix 2.7 Released. Retrieved from AnyLogistix Supply Chain Software: https://www.anylogistix.com/resources/blog/anylogistix-2-7-released/
Xu, Z., Elomri, A., Pokharel, S., & Mutlu, F. (2019). A model for capacitated green vehicle routing problem with the time varying vehicle speed and soft time windows. Computers & Industrial Engineering, 137.
Yu, H., Sun, X., Solvang, W. D., & Laporte, G. (2021). Solving a Real-World Urban Postal Service System Redesign Problem. Scientific Programming.
Yue, W. L., Taylor, M. A., & Tseng, Y. (2005). The Role of Transportation in Logistics Chain. Proceedings of the Eastern Asia Society for Transportation Studies, 5, 1657-1672.