Siti Nur Fadlillah
Binus University

Published : 4 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 4 Documents
Search
Journal : Industrial and Systems Engineering Assessment Journal (INASEA)

PENGENDALIAN PERSEDIAAN BAHAN BAKU CRUDE COCONUT OIL (CCO) PADA PT PALKO SARI EKA Fadlillah, Siti Nur
Industrial and Systems Engineering Assessment Journal (INASEA) Vol 8, No 2 (2007): INASEA Vol. 08 No.2
Publisher : Industrial and Systems Engineering Assessment Journal (INASEA)

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Inventory system is one of the essential managerial functions because most of companies have a big investment in this aspect. PT Palko Sari Eka as an oil refinery company, uses Crude Coconut Oil as a dominant raw material to its production process activities. An optimal Inventory system is very important to be implemented by the company so that the company can provide product as customer needs and give inventory cost as more efficient.
PERENCANAAN PRODUKSI DISAGREGAT: STUDI KASUS PRODUKSI PAKAN TERNAK DI PT CHAROEN POKPHAND INDONESIA BALARAJA Fadlillah, Siti Nur; Widjaja, Thomas
Industrial and Systems Engineering Assessment Journal (INASEA) Vol 7, No 1 (2006): INASEA Vol. 07 No. 1
Publisher : Industrial and Systems Engineering Assessment Journal (INASEA)

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Production planning is an activity to make decison amount product that have to be produce for periods. Production planning is devided by into agregat planning and disagregat planning. Agregat planning is planning on Type and Family level, Disagregat planning on end item level. Disagregat planning used in manufacturing process that have some variance product.   
METODE PENGENDALIAN PERSEDIAAN BAHAN BAKU CRUDE COCONUT OIL YANG OPTIMAL PADA PT. PSE Fadlillah, Siti Nur; Andreas, Andreas; Zahedi, Zahedi
Industrial and Systems Engineering Assessment Journal (INASEA) Vol 9, No 2 (2008): INASEA Vol. 09 No. 2
Publisher : Industrial and Systems Engineering Assessment Journal (INASEA)

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The inventory system is one of the most important managerial functions, since vast majority of companies has large investment involved in this aspect. This also applies to PT. Palko Sari Eka that is big in the field of inventory planning and production control. PT. Palko Sari Eka, as one company in the oil refinery industry, strives to optimize the inventory of raw materials Crude Coconut Oil by trying to compare different methods of inventory control methods such as the EOQ (Economic Order Quantity, method of EOI (Economic Order Interval), Min-Max method. Crude Coconut Oil is one of the major raw material products, which require a good inventory system. From the results of research conducted, it turns out the character of stochastic demand data, it is also necessary to conduct simulations to obtain results closer to the actual conditions. The inventory criteria can be said to be optimal if the total annual cost is minimum. It is concluded that the best method is the Fixed Size Order Systems (EOQ) with an order of 2770 mT per order.
PENERAPAN SISTEM PERENCANAAN KEBUTUHAN KOMPONEN UNTUK MEMENUHI KEBUTUHAN HUB TIPE SUPRA PADA PT ASTRA HONDA MOTOR Arifin, Yusuf; Fadlillah, Siti Nur
Industrial and Systems Engineering Assessment Journal (INASEA) Vol 6, No 1 (2005): INASEA Vol. 06 No. 1
Publisher : Industrial and Systems Engineering Assessment Journal (INASEA)

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Planning system of customer needs in Astra Honda Motor Company using Material Requirement Planning system with order applying several metods, for example Lot for Lot, POQ, and EOQ. The disadvantages of those applied system is not knowing which method is the most advantages. Therefore, a research on how to compare the having cost for each method is needed. The result, Lot For Lot (LFL) method is the method  minimal cost.