Simulasi Sistem Distribusi Pupuk Urea In-Bag Bersubsidi (Studi Kasus : Perusahaan Pupuk Di Indonesia)

Nugroho, Stefan Adhie (2016) Simulasi Sistem Distribusi Pupuk Urea In-Bag Bersubsidi (Studi Kasus : Perusahaan Pupuk Di Indonesia). Undergraduate thesis, Institut Technology Sepuluh Nopember.

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Abstract

Perusahaan merupakan salah satu perusahaan yang bertanggung jawab atas distribusi pupuk urea bersubsidi di Indonesia. Service level merupakan salah satu parameter yang harus dioptimalkan oleh perusahaan untuk mengantisipasi terjadinya kelangkaan pupuk. Salah satu permasalahan yang dihadapi untuk mencapai service level yang optimal adalah availibilitas truk untuk melakukan realsiasi pengiriman dan perputaran truk yang tidak lancar. Kebijakan yang diterapkan untuk memperbaiki permasalahan yaitu penentuan segmentasi waktu pengiriman dan dedicated express loading line. Simulasi dilakukan untuk mengetahui pengaruh kebijakan terhadap perputaran truk, variabel respon dan jumlah kebutuhan truk yang optimal. Simulasi dilakukan dengan software ARENA. Pada penelitian ini dilakukan simulasi kebijakan eksisting dan perbaikan untuk mengetahui pengaruh dari penerapan kebijakan pada skenario perbaikan. Penerapan segmentasi waktu pengiriman dapat mengantisipasi ketidakpastian sehingga akan mengoptimalkan waktu tunggu time windows dan penerapan dedicated express loading line akan mempercepat waktu tunggu loading di pabrik. Sehingga, penerapan kedua kebijakan ini akan mengurangi waktu siklus per ritase. Waktu siklus yang singkat akan dapat meningkatkan realisasi pengiriman, sehingga secara tidak langsung akan meningkatkan service level perusahaan dan mengurangi jumlah kebutuhan truk. Penerapan skenario A2B2C8 meningkatkan waktu perputaran truk per ritase sebesar 28%, menurunkan waktu tunggu time windows sebesar 40%, meningkatkan service level sebesar 12,9%, dan menurunkan utilitas truk sebesar 11,9%. ====================================================================================================== This company is one of the government-owned company responsible for meeting the demand of subsidized urea fertilizer in Indonesia. Service level is one of the parameters to be optimized by the company to anticipate shortages of fertilizer in the area of corporate responsibility. One of the problems faced in order to achieve optimal service level is the availability of trucks to make deliveries and truck turn around time is very long. Policy applied to fix the problem is a segmentation of the delivery time and dedicated express loading line. Simulations carried out to determine the effect of new policy on the truck turnaround, the response variable and the number of truck owned. Simulations performed with ARENA software. In this study, a simulation is conducted for the existing policies and improvement scenario. The aim is to determine the effect of the new policy on improvement scenario. Implementation of segmentation of the delivery time policies can anticipate the uncertainty in the distribution process so that it will optimize the waiting time for time windows. Meanwhile, the policy on dedicated express loading line will speed up the waiting time for the loading process. Thus, the implementation of this policy will reduce cycle time for each delivery. A short cycle time will be able to increase the delivery realization, so it will indirectly increase the service level of the company and reducing the number of trucks needed. The best scenarios to be implemented in the company is scenarios A2B2C8. This scenario improve truck turnaround time per ritase by 28%, lowering waiting time for time windows by 40%, improve the service level around 12.9%, and lowering the truck utility around 11.9%.

Item Type: Thesis (Undergraduate)
Additional Information: RSI 658.8 Nug s
Uncontrolled Keywords: Segmentasi Waktu Kirim, Perputaran truk, Dedicated Express Loading Line, Simulasi ARENA.
Subjects: T Technology > T Technology (General) > T57.62 Simulation
Divisions: Faculty of Industrial Technology and Systems Engineering (INDSYS) > Industrial Engineering > 26201-(S1) Undergraduate Thesis
Depositing User: Mr. Tondo Indra Nyata
Date Deposited: 14 Feb 2020 04:28
Last Modified: 14 Feb 2020 04:28
URI: https://repository.its.ac.id/id/eprint/74939

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