Improvement of Raw Material Distribution Routes for Minimization of Mileage and Workload in Noodle Culinary SMEs

Authors

  • Lisa Amanda Link Departemen Teknik Industri, Universitas Atma Jaya Yogyakarta
  • Fransiska Hernina Puspitasari Departemen Teknik Industri, Universitas Atma Jaya Yogyakarta
  • Parama Kartika Dewa Universitas Atma Jaya Yogyakarta http://orcid.org/0000-0001-5177-2439

DOI:

https://doi.org/10.31315/opsi.v15i2.8248

Keywords:

Distribution route, minimization, shortest mileage, workload, noodle culinary SME

Abstract

Delivery activities have a great role for a business actor. However, delivery issues are there all the time. This was experienced by a noodle culinary SME that experienced delays in the delivery of various noodle raw materials and noodle toppings which caused noodle sales activities to be disrupted. In addition, these raw materials have a lifespan (without preservatives) so they must be delivered according to a predetermined schedule and hours. This research will solve this problem by minimizing delays through finding the shortest mileage delivery route. Because each delivery location has its own schedule and time window, the Nearest Neighbor method by paying attention to the time window is used. Based on the calculation results, each distribution route with the shortest distance was obtained, as evidenced by a reduction in the middle route by 0.23 km and the northern route by 5.88 km. In addition, this proposed delivery route was able to save fuel consumption on the middle route by 3% and the northern route by 10%. In terms of the workload aspect, car fleet drivers were also reduced by 31% and motorbike fleet drivers by 47%.

References

Contardo, C., Cordeau, J., & Gendron B. (2013). A GRASP+ILP-based metaheuristic for the capacitated location-routing problem. Journal of Heuristics, 20(1), 1-38. http://dx.doi.org/10.1007/s10732-013-9230-1

Ekici, A., Ozener, O.O., & Kuyzu, G. (2014). Cyclic delivery schedules for an inventory routing problem. Transportation Science, 49(4), 817-829. https://doi.org/10.1287/trsc.2014.0538

Escobar, J.W., Linfati, R., Baldoquin, M.G., & Toth, P. (2014). A granular variable tabu neighborhood search for the capacitated location-routing problem. Transportation Research Part B: Methodological, 67, 344-356. https://doi.org/10.1016/j.trb.2014.05.014

Gadde, L., Hakansson, H., & Persson, G. (2010). Supply Network Strategies (2nd ed.). Wiley Global Education.

Hassan, A.A.B.M., Zaharudin, A.B., & Yunus, A.B.M. (2015). Delays in physical distribution: a case study of Sony Supply Chain Solutions Malaysia [Paper presentation]. International Seminar on Entrepreneurship and Business, Malaysia. http://umkeprints.umk.edu.my/5031/1/Conference%20Paper%2037%20ISEB%202015.pdf

Juliandri, D., Mawengkang, H., & Bu’ulolo, F. (2018). Discrete optimization model for vehicle routing problem with scheduling side constraints [Paper presentation]. 4th International Conference on Operational Research (InteriOR), Medan, Indonesia. https://iopscience.iop.org/article/10.1088/1757-899X/300/1/012024

Krichen, S., & Jouida, S. (2015). Supply Chain Management and its Applications in Computer. Wiley Professional, Reference & Trade (Wiley K&L).

Leenawong, C., Warranawulan, C., Wongsa, K., & Lethaisong, K. (2017). Decision support model and software for consolidated order assignment to delivery trucks [Paper presentation]. 6th International Congress on Advanced Applied Informatics, Japan. https://doi.org/10.1109/IIAI-AAI.2017.138

Liu, Y., Yin, M., & Hansen, M. (2019). Economic costs of air cargo flight delays related to late package deliveries. Transportation Research Part E: Logistics and Transportation Review, 125, 388-401. https://doi.org/10.1016/j.tre.2019.03.017

Lopes R.B., Ferreira C., & Santos, B. S. (2016). A simple and effective evolutionary algorithm for the capacitated location-routing problem. Computers & Operations Research, 70, 155-162. https://doi.org/10.1016/j.cor.2016.01.006

Martono, S., & Warnars, H.L.H.S. (2020). Penentuan rute pengiriman barang dengan metode Nearest Neighbor. Jurnal Pengkajian dan Penerapan Teknik Informatika, 13(1), 44-57. https://doi.org/10.33322/petir.v13i1.869

Peng, D.X., & Lu, G. (2017). Exploring the impact of delivery performance on customer transaction volume and unit price: evidence from an assembly manufacturing supply chain. Production and Operations Management, 26(5), 880-902. https://doi.org/10.1111/poms.12682

Siregar, M.T., & Pitaloka, N.W.A. (2018). Lean Distribution untuk minimasi keterlambatan pengiriman produk susu. Jurnal Manajemen Transportasi & Logistik, 5(3), 265-276. http://dx.doi.org/10.54324/j.mtl.v5i3.272

Somadi. (2020). Evaluasi keterlambatan pengiriman barang dengan menggunakan Six Sigma. Jurnal Logistik Indonesia, 4(2), 81-93. https://doi.org/10.31334/logistik.v4i2.1110

Downloads

Published

2022-12-30

Issue

Vol. 15 No. 2 (2022): ISSN 1693-2102

Section

Artikel

License

Authors who publish articles in this journal agree to the following conditions:

  1. Copyright remains with the author and gives the Opsi journal the right as a priority to publish its articles with Creative Commons Attribution 4.0 International license. Which allows articles to be shared with acknowledgement of the author of the article and this journal as the place of publication.
  2. Authors can distribute their articles on a non-exclusive basis (e.g. in university repositories or books) with notification or acknowledgement of publication in Opsi journals.
  3. Authors are allowed to post their work online (e.g. on a personal website or in a university repository) before and after the submission process (see The Effect of Open Access)
 

Lisensi Creative Commons

This work is Licensed Under a Creative Commons Attribution 4.0 International license.