Decision Of Delivery Quantity And Warehouse Size For Distributor: A Simulation Study

Gumilang, Pius Doni Surya (2016) Decision Of Delivery Quantity And Warehouse Size For Distributor: A Simulation Study. Undergraduate thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

PT X is one of leading cement industry in Indonesia which has a big role in meeting society’s need for housing and building infrastructure. In order to always satisfy the demand for their customer, the company should have enough products on each district of distribution. The distribution scope will be the entire java and several islands in Indonesia. Nowadays, PT X doesn’t have definite policy about the delivery quantity that should be distributed for each district. Therefore, this research will lead the company to have a certain policy for delivery quantity. This research will consider the critical level of stock on each district by using days of supply. The stock level will be concluded as critical if the condition of stock on each district below the desire days of supply. In order to answer this problem, this research will suggest the company about the amount of delivery quantity that should be distributed for the several critical levels. A method that will be used is discrete-event simulation by using ARENA software as the supporting tools. In addition, this research will also evaluate the existing utilization of warehouse for each district and also give a suggestion for warehouse size on the certain district. In the end of this research, PT X will consider the delivery quantity base on critical level of stocks and the cost gained from the simulation.

Item Type: Thesis (Undergraduate)
Additional Information: RSI 658.787 Gum d 3100016066952
Uncontrolled Keywords: Average Inventory Days of Supply, Discrete-Event Simulation, Warehouse Capacity & Fill-Rate, Holding Cost.
Subjects: H Social Sciences > HD Industries. Land use. Labor > HD55 Inventory control
T Technology > T Technology (General) > T57.62 Simulation
Divisions: Faculty of Industrial Technology > Industrial Engineering > 26201-(S1) Undergraduate Thesis
Depositing User: - Davi Wah
Date Deposited: 18 Mar 2020 00:45
Last Modified: 18 Mar 2020 00:45
URI: http://repository.its.ac.id/id/eprint/75431

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