Razak, Asifa Pritania and Siswanto, Budi Nur and Lestiani, Melia Eka (2021) ANALISIS RUTE PENDISTRIBUSIAN KECAP DENGAN PENDEKATAN INSERTION SEQUENTIAL ALGORITHM PADA GREEN VEHICLE ROUTING PROBLEM (TA 16.16.20.10). Diploma thesis, STIMLOG INDONESIA.
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Abstract
ABSTRAK Asifa Pritania Razak, Analisis Rute Pendistribusian Kecap Dengan Pendekatan Insertion Seqential Algorithm Pada Green Vehicle Routing Problem (Studi Kasus : PT. Kertasari Food), Bandung, Manajemen Logistik, 2020. PT. Kertasari Food merupakaan perusahaan produksi dan distributor produk kecap kemasan yang salah satunya yaitu produk kecap kemasan botol ukuran 600 ml. Pada perusahaan tersebut masih memiliki kendala distribusi produk yaitu belum adanya perencanaan jalur distribusi dan tidak adanya penjadwalan persediaan. Selain itu, kurangnya pengawasan dari pihak perusahaan menyebabkan sering terjadinya perjalanan berulang yang dilalui oleh sopir sehingga dapat meningkatnya biaya distribusi karena konsumsi bahan bakar minyak yang bertambah. Tujuan dari penelitian ini adalah untuk mengoptimalkan biaya distribusi dengan menentukan rute distribusi yang nantinya akan berpengaruh terhadap konsumsi bahan bakar. Pada penelitian ini dalam pengendalian persediaan kecap menggunakan Distribution Requirement Planning (DRP) untuk membuat perencanaan jumlah pengiriman produk dan perencanaan rute distribusi dengan pendekatan Insertion Sequential Algorithm untuk menyelesaikan Green Vehicle Routing Problem (GVRP). Berdasarkan penelitian ini dapat diketahui bahwa total jarak tempuh pada rute distribusi awal yaitu 300,3 KM, sedangkan total jarak tempuh pada rute distribusi menggunakan Insertion Sequential Algorithm yaitu sebesar 106,25 KM sehingga terjadi penghematan total jarak tempuh rute awal dengan rute alternatif sebesar 54,61%. Selain itu, pada total biaya distribusi terdapat selisih penghematan sebesar Rp. 399.838,- sehingga berpengaruh terhadap penggunaan energi (bahan bakar) juga terdapat penghematan yaitu sebesar 48,5125 liter. Kata Kunci: Distribusi, Distribution Requirement Planning (DRP), Green Vehicle Routing Problem (GVRP), Insertion Sequential Algorithm STIMLOG Indonesia viii ABSTRACT Asifa Pritania Razak, The Analysis of Soy Sauce Distribution Routes Using the Insertion Seqential Algorithm Approach in Green Vehicle Routing Problem (Case Study: PT. Kertasari Food), Bandung, Logistics Management, 2020. PT. Kertasari Food is a production company and distributor of packaged soy sauce products, one of which is soy sauce in 600 ml bottles. The company still has product distribution constraints, namely there is still no distribution route planning, no inventory scheduling, so in addition, the lack of supervision from the company causes frequent recurring trips by the driver so that distribution costs can increase due to increased fuel consumption. . The purpose of this study is to optimize distribution costs by determining routes that affect fuel consumption. In this study, controlling soy sauce supplies uses Distribution Requirement Planning (DRP) to plan the number of product shipments and planning distribution routes with the Insertion Sequential Algorithm approach to solve the Green Vehicle Routing Problem (GVRP). Based on this research, it can be seen that the total distance traveled on the initial distribution route is 300.3 KM, while the total distance traveled on the distribution route using the Insertion Sequential Algorithm is 106.25 KM so that there is a total savings in the mileage of the initial route with an alternative route of 54, 61%. In addition, in the total distribution costs there is a difference in savings of Rp. 399,838, - so that it affects the use of energy (fuel) there is also a savings of 48.5125 liters. Keywords: Distribution, Distribution Requirement Planning (DRP), Green Vehicle Routing Problem (GVRP), Insertion Sequential Algorithm
| Item Type: | Thesis (Diploma) |
|---|---|
| Subjects: | H Social Sciences > HD Industries. Land use. Labor H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management |
| Depositing User: | Unnamed user with email [email protected] |
| Date Deposited: | 01 Mar 2022 05:47 |
| Last Modified: | 01 Mar 2022 05:47 |
| URI: | http://eprint.ulbi.ac.id/id/eprint/132 |
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