• Login
    View Item 
    •   DSpace Home
    • FACULTY OF INDUSTRIAL TECHNOLOGY
    • LOGISTICS ENGINEERING (TEKNIK LOGISTIK)
    • DISSERTATIONS AND THESES (LG)
    • View Item
    •   DSpace Home
    • FACULTY OF INDUSTRIAL TECHNOLOGY
    • LOGISTICS ENGINEERING (TEKNIK LOGISTIK)
    • DISSERTATIONS AND THESES (LG)
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    ANALISIS PENGENDALIAN PERSEDIAAN KAYU MENGGUNAKAN METODE ECONOMIC ORDER QUANTITY MODEL LAGRANGE MULTIPLIER (STUDI KASUS: CV 95)

    Thumbnail
    View/Open
    Laporan Tugas Akhir_Ronauli Sirait_102419087_Final.pdf (2.378Mb)
    Date
    2023-09-08
    Author
    Sirait, Ronauli Claudia
    Metadata
    Show full item record
    Abstract
    CV 95 is a company engaged in the field of building materials. One of the stored materials is meranti wood eith dimensions of 2 x 2 x 16 feet. In the inventory of wood products, there are several contrains, namely inadequate warehouse capacity and limitations on inventory costs. The company places orders once a month. However, in reality the company often experiemces wood inventory exceeding warehouse capacity, resulting in additional cost in inventory holding costs, leading to wood inventory holding costs exceeding the company’s maximum allowable costs. Based on this issue, CV 95 needs an inventory control method to address the existing problems. EOQ Lagrange Model is a method that can be used to control inventory. By using the EOQ Lagrange Multiplier method, it will assist the company in determining better inventory policies in inventory determination. This study aims to determine the total inventory cost of meranti wood products at CV 95, which will by compared eith inventory control using the Economic Order Quantity Lagrange Multiplier Model. In data processing, inventory control will be conducted using actual data and inventory control with forecasted data for the next 12periods using cyclic forecasting, cyclical trend, and ARIMA methods. From the data processing that has been conducted, the results show a minimization of inventory costs. For the total inventory cost of the company’s, it is Rp. 14,848,000 while using the EOQ Lagrange Multiplier Mode on historical data, the total inventory cost obtained is Rp. 13,713,619 resulting in a cost minimization of Rp. 1,134,381. Meanwhile, the total inventory cost from processing the forecast data for the next 12 periods is Rp. 13,624,606, resulting in a cost minimization of Rp. 1,223,394.
    URI
    https://library.universitaspertamina.ac.id//xmlui/handle/123456789/10317
    Collections
    • DISSERTATIONS AND THESES (LG)

    DSpace software copyright © 2002-2015  DuraSpace
    Contact Us | Send Feedback
    Theme by 
    @mire NV
     

     

    Browse

    All of DSpaceCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

    My Account

    LoginRegister

    DSpace software copyright © 2002-2015  DuraSpace
    Contact Us | Send Feedback
    Theme by 
    @mire NV