Optimalisasi Model Jaringan Distribusi Multi-Echelon pada Rantai Pasok Tepung Terigu dan Minyak Goreng di Perusahaan Distributor FMCG

Simanjuntak, Fitri Artha Boloni (2023) Optimalisasi Model Jaringan Distribusi Multi-Echelon pada Rantai Pasok Tepung Terigu dan Minyak Goreng di Perusahaan Distributor FMCG. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Desain jaringan supply chain merupakan keputusan strategis seperti penentuan jumlah, lokasi, dan kapasitas dari setiap struktur dalam supply chain. Model jaringan distribusi supply chain yang efisien dapat meminimalisasi biaya operasional dalam memenuhi kebutuhan customer dengan jumlah, lokasi, dan pada saat yang tepat. Tugas Akhir ini mengimplementasikan model jaringan distribusi multi-eselon untuk multi-product yang disesuaikan dengan kondisi real perusahaan PT X cabang Surabaya. PT X adalah perusahaan distributor untuk produk fast moving consumer goods (FMCG). Sejak 2022, perusahaan memiliki tepung terigu dan minyak goreng yang harus didistribusikan ke customer melalui gudang komoditas yang terletak di beberapa lokasi. Kondisi saat ini, perusahaan memiliki empat gudang komoditas pada regional Surabaya dan melayani hampir 12000 outlet. Penentuan jumlah dan lokasi tersebut hanya berdasarkan tingkat kepadatan penduduk sehingga terdapat kemungkinian belum optimal dari segi biaya. Maka dilakukan optimasi yang bertujuan menentukan jumlah, lokasi, serta alokasi produk dari gudang komoditas dengan biaya yang paling minimal. Lokasi kandidat yang dipertimbangkan adalah empat lokasi gudang komoditas eksisting serta 16 kandidat lokasi yang pernah disewa oleh perusahaan untuk produk lain. Permasalahan ini diselesaikan menggunakan Mixed Integer Linear Programming (MILP) dan K-Means Clustering untuk pengelompokkan outlet ke dalam bentuk cluster dan menentukan titik pusat cluster tersebut. Dua belas ribu outlet diklaster menjadi 906 titik lokasi yang baru. Titik pusat cluster akan mejadi input data untuk penentuan jarak outlet ke gudang komoditas. Setelah itu, akan dilakukan optimasi menggunakan MILP untuk mengetahui jumlah dan lokasi gudang komoditas dengan biaya paling minimal. Berdasarkan hasil optimasi, tugas akhir ini merekomendasikan PT X cukup membuka satu gudang yang berlokasi di Sidoarjo untuk melayani outlet yang ada di regional Surabaya. Keputusan ini memberikan efisiensi biaya logistik sebesar 36% yakni sebesar Rp 1.488.866.286,30. Selanjutnya, dilakukan analisis sensitivitas untuk mengetahui seberapa sensitif parameter biaya transportasi, biaya sewa, kapasitas, dan permintaan terhadap biaya optimal. Parameter paling sensitif adalah demand.
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Designing a supply chain network is a strategic decision involving determining the quantity, location, and capacity of each structure within the supply chain. An efficient supply chain distribution network model can minimize operational costs in meeting customer needs with the right quantity, location, and timing. This Final Project implements a multi-echelon distribution network model for multi-products tailored to the real conditions of PT X's branch in Surabaya. PT X is a distributor company for fast-moving consumer goods (FMCG). Since 2022, the company has flour and cooking oil that need to be distributed to customers through commodity warehouses located in several locations. The current situation is that the company has four commodity warehouses in the Surabaya region and serves nearly 12,000 outlets. The determination of the quantity and location of these warehouses is only based on population density, which may not be optimal in terms of cost. Therefore, an optimization is conducted to determine the optimal quantity, location, and allocation of products from the commodity warehouses with minimal cost. The candidate locations considered are the existing four locations of commodity warehouses and 16 candidate locations previously rented by the company for other products. This problem is solved using Mixed Integer Linear Programming (MILP) and K-Means Clustering for clustering outlets into clusters and determining the center points of these clusters. The 12,000 outlets are clustered into 906 new location points. The center points of the clusters will be used as input data for determining the distances from the outlets to the commodity warehouses. Subsequently, an optimization is performed using MILP to determine the optimal quantity and location of commodity warehouses with the lowest cost. Based on the optimization results, this final project recommends that PT X should open only one warehouse located in Sidoarjo to serve the outlets in the Surabaya region. This decision provides a logistics cost efficiency of 36%, equivalent to Rp 1.488.866.286,30. Furthermore, sensitivity analysis is conducted to determine how sensitive transportation costs, rental costs, capacity, and demand are to the optimal cost. The most sensitive parameter is demand.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	Desain Jaringan Supply Chain, Facility Location Problem, Mixed Integer Linear Progamming, K-Means Clustering, Multi-echelon; Facility Location Problem, K-Means Clustering, Mixed Integer Linear Programming, Multi-echelon, Supply Chain Network Design
Subjects:	H Social Sciences > HD Industries. Land use. Labor H Social Sciences > HD Industries. Land use. Labor > HD38.5 Business logistics--Cost effectiveness. Supply chain management. ERP
Divisions:	Faculty of Industrial Technology and Systems Engineering (INDSYS) > Industrial Engineering > 26201-(S1) Undergraduate Thesis
Depositing User:	Fitri Artha Boloni Simanjuntak
Date Deposited:	04 Oct 2023 09:57
Last Modified:	04 Oct 2023 09:57
URI:	http://repository.its.ac.id/id/eprint/103492

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