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Journal : SPEKTRUM INDUSTRI

PENGENDALIAN PERSEDIAAN PADA KONDISI STOKASTIK DAN HARGA BERTINGKAT MENGGUNAKAN SIMULASI Marcelly Widya Wardana; Farham HM Saleh; Ali Parkhan
Spektrum Industri Vol. 12 No. 2: Oktober 2014
Publisher : Universitas Ahmad Dahlan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/si.v12i2.1668

Abstract

investment value of the company in the form of supplies could reach 50 % of the value of all assets . Basically resource inventory is idle resources, which means that if the excess inventory will lead to wasted investment , but if there is no inventory would be difficult to anticipate fluctuations in demand can lead to stockout . So, we need a good inventory management to manage the balance between inventory investment and customer service . This research took a case study in Olla Bakery where there is demand and uncertain lead time , which affects the supply of raw material flour . To control the supply of the raw material , in this study using Monte Carlo simulation due to the properties of probabilistic variables , fluctuating demand , lead time is uncertain , and also considering the quantity discounts in the purchase of raw materials as a consideration in the simulation . The results obtained from this study that the Monte Carlo simulation method can reduce inventory costs by 6.83% , so it can be taken into consideration for the company in the purchase of raw materials. Keywords : Probabilistic, Quantity Discount, Monte Carlo
PENERAPAN METODE FAILURE MODE AND EFFECT ANALYSIS (FMEA) DALAM MENGIDENTIFIKASI MASALAH KERUSAKAN PRODUK PAKAN AYAM PADA PT. JAPFA COMFEED INDONESIA, TBK UNIT LAMPUNG Marcelly Widya Wardana; Sulastri Sulastri; Siti Hasanah
Spektrum Industri Vol. 17 No. 1: April 2019
Publisher : Universitas Ahmad Dahlan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/si.v17i1.9641

Abstract

PT. Japfa Comfeed Indonesia, Tbk Unit Lampung is a company engaged in the field of animal feed with two types of products, namely pellet and crumble. The real condition that often occurs in this company is that there is a final product that has problems in animal feed that is not in accordance with predetermined quality standards. The purpose of this study is to analyze failures that cause product defects by using the Failure Mode and Effect Analysis (FMEA) method, getting the risk of the biggest production process failure in the RPN (Risk Priority Number) value, and proposing improvements for subsequent production. The method used in this study uses statistical tools in the form of check sheets, p control maps and Cause Failure Mode Effect (CMFE) analysis. The results of the control chart analysis show that chicken feed is within the control limit, and the highest Risk Priority Number (RPN) value is the filter with a value of 100 RPN so that the pellet can pass the final stage. To overcome this problem, the proposed improvement is to add a filter to the crumble machine and then carry out routine maintenance and inspection.