Optimasi Rute untuk Menyeimbangkan Beban Distribusi Harian (Studi Kasus: Perusahaan Distributor FMCG)

Kamaratih, Miranti Ayu (2021) Optimasi Rute untuk Menyeimbangkan Beban Distribusi Harian (Studi Kasus: Perusahaan Distributor FMCG). Undergraduate thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

PT X merupakan perusahaan distributor FMCG di Indonesia yang memiliki sebuah distribution center di Surabaya. PT X dihadapkan pada permasalahan terkait dengan pengiriman berdasarkan delivery order (DO) yang responsif sesuai permintaan toko sehingga jumlah DO yang dikirim perharinya fluktuatif, khususnya pada sistem distribusi HCO. Dampak dari jumlah DO yang fluktuatif berpengaruh terhadap ritase dan order fulfillment. PT X memiliki target ritase 2 rit dengan persentase 100% dan order fulfillment 90%. Berdasarkan data pada bulan Januari 2021, realisasi jumlah truk yang mencapai 2 rit adalah 67% sehingga berdampak pada tidak tercapainya target order fulfillment. Oleh karena itu, penelitian ini bertujuan untuk menyeimbangkan beban distribusi harian serta menentukan rute distribusi FMCG sehingga target ritase dan order fulfillment dapat dicapai. Strategi yang digunakan adalah menggunakan salah satu model optimasi, yaitu Multi Trips Vehicle Routing Problem (MTVRP). Hasil dari penelitian ini adalah model MTVRP yang di-running setiap hari Senin – Jumat memiliki beban distribusi yang seimbang setiap harinya yaitu dengan standar deviasi 0.1 dengan rute distribusi yang optimal. Hasil kebutuhan jumlah truk harian yaitu 5-7 truk dengan dengan persentase jumlah truk yang mencapai 2-4 rit sebesar 86.2% dan order fulfillmet 100%.
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PT X is an FMCG distributor company in Indonesia which has a distribution center in Surabaya. PT X is faced with problems related to delivery based on responsive delivery orders (DO) according to the store's will so that the number of DOs sent per day fluctuates, especially in the HCO distribution system. The impact of the fluctuating amount of DO affects the distribution rate and order fulfillment. The target of distribution rate is 2 rits and order fulfillment of 90%. Based on data in January 2021, the realization of the number of trucks that reached 2 cycles was 67% and affects the unfulfilled order. So this study aims to balance the daily distribution load and determine the FMCG distribution route so that the target ritase and order fulfillment can be achieved. The strategy used is to use one of the optimization models, namely Multi Trips Vehicle Routing Problem (MTVRP). The result of this research is that the MTVRP model which is run every Monday – Friday has a balanced distribution load every day, with a standard deviation of 0.1 with an optimal distribution route. The result of the number of daily trucks needed is 5-7 trucks with a percentage of trucks reaching 2-4 trips of 86.2% and order fulfillment of 100%.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Distribusi, Optimasi, Multi Trips Vehicle Routing Problem Distribution, Optimization, VRP, Multi Trips Vehicle Routing Problem
Subjects:	H Social Sciences > HE Transportation and Communications H Social Sciences > HE Transportation and Communications > HE336.R68 Route choice
Divisions:	Faculty of Industrial Technology and Systems Engineering (INDSYS) > Industrial Engineering > 26201-(S1) Undergraduate Thesis
Depositing User:	Miranti Ayu Kamaratih
Date Deposited:	16 Aug 2021 12:42
Last Modified:	16 Aug 2021 12:42
URI:	http://repository.its.ac.id/id/eprint/87326

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