Model Jaringan Distribusi Produk dengan Pendekatan Fuzzy Multi Objective Programming

Main Article Content

Suci Oktri Viarani M Viarani
Universitas Andalas

Henmaidi
Universitas Andalas

Alexie Herryandie Bronto Adi
Universitas Andalas

Keywords

Fuzzy Multi Objective Programming, model jaringan distribusi

Abstract

PT. Semen Padang is one of the cement producers competing to meet the needs of the cement. To that end, PT. Semen Padang must ensure the availability of cement on time, quantity, location and at competitive rates. One way to achieve this by optimizing the distribution system because it will be able to maximize sales and increase corporate profits. In this research, the distribution network planning model of PT. Semen Padang considering the cost of transportation, facility capacity, time, and uncertain demand. This model aims to minimize the total cost of product distribution and cost of opening the buffer warehouse and Packing Plant and maximize responsiveness to customers considering the uncertain parameters by using Fuzzy Multi-Objective Programming method. Based on the results of the research, had obtained the product distribution network planning model by using the fuzzy multi-objective programming method with the output is the opening of Packing Plant and buffer warehouse and the amount of product delivery to the final consumer with minimum cost and time of distribution. Search solution or output model assisted with Software Lingo 17.0. The designed model is able to explain the change of output if there are any changes in parameters covering demand between marketing areas, transportation costs between marketing areas and vehicle speed in transporting products from the last distribution center to the marketing area. The model can be implemented in the distribution network planning of PT. Semen Padang by using data in accordance with the conditions in the field.

References

[1] Asosiasi Semen Indonesia. Presentasi Perkembangan Industri Semen di Indonesia. Bali, 2015.

[2] R. Syukria. “Evaluasi Lokasi Gudang Penyangga Distribusi Semen Jalur Darat PT Semen Padang”. Tugas Akhir, Universitas Andalas, 2011.

[3] Djuwansyah, L. Hafizah, Y. Betty, and I Nyoman W. A. “Mengukur Kesiapan Industri Nasional Jelang AEC 2015”. Media Industri, No. 02-2013, pp. 7, 2013.

[4] S. J. Hosseininezhad, S. J. Mohammad, and G. J. N. Seyed. “A Fuzzy Algorithm for Continuous Capacitated Location Allocation Model with Risk Consideration”. Journal of Appl. Math. Model. vol. 38, no. 3, pp. 983–1000, 2014. https://doi.org/10.1016/j.apm.2013.07.006

[5] L. Cooper. “Location-allocation problems”. Operations Research, vol. 11, no. 3, pp. 331–343, 1963. https://doi.org/10.1287/opre.11.3.331

[6] M. D. Akbar, A. Rahman, and C. F. M. Tantrika. “Optimalisasi Aliran Distribusi Dan Alokasi Material Dengan Metode Linear Programming (Studi Kasus: PT PLN (PERSERO) APJ Distribusi Malang)”. Universitas Brawijaya, 2013.

[7] N. Ariyana. “Model Lokasi-Alokasi Bantuan Logistik Catastrophic Berbasis Masjid di Kota Padang”. Tugas Akhir. Universitas Andalas, 2012.

[8] Yuniaristanto, W. Sutopo, and A. Aisyati. ”Pemodelan Lokasi-Alokasi Terminal Bahan Baku untuk Meminimasi Total Biaya Rantai Pasok pada Industri Produk Jadi Rotan”. Jurnal Teknik Industri, vol. 12, no. 1, pp. 17-24, 2010.

[9] H. Sulistyowati, A. Rusdiansyah, and N.I. Arvitrida.”Model Jaringan Distribusi Multi Eselon untuk Produk Multi Item PT Gold Coin Surabaya”. Institut Teknologi Sepuluh Nopember (ITS), Surabaya, 2010.

[10] I. Masudin. ”Facility Location Modeling in Multi-Echelon Distribution System: A Case Study of Indonesian Liquefied Petroleum Gas Supply Chain”. Aceh International Journal of Science and Technology, vol. 2, no. 1, pp. 37-43, 2013.

[11] S. M. Arabzad, M. Ghorbani, and S. H. Zolfani. “A Multi-Objective Robust Optimization Model for a Facility Location-Allocation Problem in a Supply Chain under Uncertainty”. Journal of Inzinerine Ekonomika-Engineering Economics, vol. 26, no. 3, pp. 227–238, 2015.

[12] Marimin and R. A. Hadiguna. “Alokasi Pasokan Berdasarkan Produk Unggulan Untuk Rantai Pasok Sayuran Segar”. Jurnal Teknik Industri, vol. 9, no. 2, pp. 85-101, 2007.

[13] M. S. Pishvaee and J. Razmi. ”Environmental Supply Chain Network Design Using Multi-Objective Fuzzy Mathematical Programming”. Journal of Applied Mathematical Modelling, vol. 36, no. 8, pp. 3433–3446, 2012. https://doi.org/10.1016/j.apm.2011.10.007

[14] S. M. Mousavi, B. Vahdani, R. Tavakkoli-Moghaddam, H. Hashemi.”Location of Cross-Docking Centers and Vehicle Routing Scheduling Under Uncertainty: A Fuzzy Possibilistic–Stochastic Programming Model”. Journal of Applied Mathematical Modelling, vol. 38, no. 7-8, pp. 2249–2264, 2014. https://doi.org/10.1016/j.apm.2013.10.029

[15] R. Alikhani and A. Adel. “A Hybrid Fuzzy Satisfying Optimization Model for Sustainable Gas Resources Allocation”. J. Clean. Prod., vol 107, pp. 353-365, 2015. https://doi.org/10.1016/j.jclepro.2015.01.064

[16] M. Talaei, B. F. Moghaddam, M. S. Pishvaee, A. Bozorgi-Amiri, S. Gholamnejad. “A Robust Fuzzy Optimization Model for Carbon-Efficient Closed-Loop Supply Chain Network Design Problem: A Numerical Illustration in Electronics Industry”. J. Clean. Prod. vol. 113, pp. 662-673, 2016. https://doi.org/10.1016/j.jclepro.2015.10.074

[17] A. Mohammed and Q. Wang. “The Fuzzy Multi-Objective Distribution Planner for A Green Meat Supply Chain”. Int. J. Prod. Econ. vol. 184, pp. 47–58, 2017. https://doi.org/10.1016/j.ijpe.2016.11.016

[18] S. Chopra. Supply Chain Management: Strategy, Planning and Operation. New Jersey: Pearson Education Inc, 2010.

[19] I. N. Pujawan. Supply Chain Management. Denpasar: Guna Widya, 2005.

[20] R. H. Ballou. Business Logistics Management. New Jersey: Prentice Hall, 1998.

[21] D. J. Bowersox. Manajemen Logistik: Integasi Sistem-sistem Manajemen Distribusi Fisik dan Manajemen Material Jilid I. Jakarta: Bumi Aksara. Bowersox, Donald. J, David J. Closs. Logistical Management: The Integrated Supply Chain Process. New York: McGraw Hill, 2002.

[22] V. Gaspersz. Production Planning and Inventory Control Berdasarkan Pendekatan Sistem Terintegrasi MRP II dan JIT Menuju Manufakturing 21. Jakarta: Gramedia Pustaka Utama, 2004.

[23] D. Simchi-Levi, P. Kaminsky, E. Simchi-Levi. Designing and Managing the Supply Chain. Boston: McGraw-Hill, 2003.

[24] A. Ristono. Perancangan Fasilitas. Yogyakarta: Graha Ilmu, 2010.

[25] P. Schönsleben. Integral Logistic Management. (Ed. 3). New York: Auerbach Publication, 2007. https://doi.org/10.1201/9781420058642

[26] H. G. Daellenbach. System and Decision Making A Management Science Approach. John Wiley & Son Ltd, USA, 1995.

[27] F. Susilo. Himpunan dan Logika Kabur serta Aplikasinya. Yogyakarta: Graha Ilmu, 2006.

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Published
Nov 5, 2024
DOI https://doi.org/10.25077/josi.v17.n1.p1-15.2018

Article Details

How to Cite
[1]
S. O. V. M. Viarani, Henmaidi, and A. H. Bronto Adi, “Model Jaringan Distribusi Produk dengan Pendekatan Fuzzy Multi Objective Programming”, J. Optimasi Sist. Ind., vol. 17, no. 1, pp. 1–15, Nov. 2024.
Issue
Vol. 17 No. 1 (2018): Published in April 2018
Section
Articles
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