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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