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All Journal PERFORMA : Media Ilmiah Teknik Industri
Azizah Aisyati
Program Studi Sarjana Teknik Industri Universitas Sebelas Maret
Engineering Industrial & Manufacturing Engineering

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Perancangan Sistem Pendukung Keputusan Pengendalian Persediaan Obat Gawat Darurat Prioritas I di RSUD Dr. Moewardi Surakarta Azizah Aisyati; Muh. Hisjam; Miftakhul Arfah Hadiani
Performa: Media Ilmiah Teknik Industri Vol 6, No 2 (2007): PERFORMA Vol. 6, No. 2 September 2007
Publisher : Industrial Engineering Study Program, Faculty of Engineering, Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (488.794 KB) | DOI: 10.20961/performa.6.2.12834

Abstract

RSUD DR Moewardi is a state hospital of central Java Province in Surakarta which gives health service. One of the important facilities in this hospital is the pharmacy division. Some of its duties are to order, to plan, and to control drugs inventory. There are 1200 types of drugs that divided into emergency drug and non emergency drug. The Emergency Drugs (ED) function is as life saving that divided into 1 st priority, 2 nd priority and 3 rd priority ED. The 1 st priority ED are the 57 drugs that have highest management level and don’t have an emptiness tolerance. In the drug inventory control, the hospital hasn’t applied a certain drugs inventory control system. The ordering system is only based on the planning without considering the onhand status. This condition causes an overstock or even a stock out. Beside that, the drugs have an expired date. When it almost expired in 3 months later, it must be exchanged to PBF. Sometimes the tardiness happens in the hospital. Therefore it needs the Decision Support System(DSS) aim to give an early warning to exchange the drugs that are almost expired in 3 months later and also to determine the order quantity and period. First phase is designing of model base using hybrid inventory control system that combined reorder point (ROP) and periodic review system. The second phase is designing of data base using normalization and entity relationship diagram. The last phase is designing of user interface covering input and output process. From examination result, this DSS can determine the order quantity and period and also give an early warning to exchange the drugs that are almost expired in 3 months later.
Penjadwalan Batch Dinamis Flow Shop Untuk Meminimasi Rata-Rata Keterlambatan Penyelesaian Order (Mean Tardiness) dan Jumlah Scrap Tuang di CV. Kembar Jaya Azizah Aisyati; Yuniaristanto -; Anik Septiani
Performa: Media Ilmiah Teknik Industri Vol 6, No 2 (2007): PERFORMA Vol. 6, No. 2 September 2007
Publisher : Industrial Engineering Study Program, Faculty of Engineering, Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (163.597 KB) | DOI: 10.20961/performa.6.2.12944

Abstract

CV. Kembar Jaya is a metal casting manufacturing company which applies Make to Order (MTO) system. It,s characteristic of scheduling is dynamic batch on flow shop production system. This scheduling method has risen the tardiness of order completion and high level of pouring scrap. To solve this problem, a rescheduling procedure which able to increase the system’s performance is needed. To increase the system performance, a development of batch dynamic scheduling algorithm has been done to minimize the mean tardiness and total pouring scrap. The algorithm consists of setting molding area initialization and five sub algorithms. Sub algorithm of sorting order and determinating batch size will sort and breakdown the order into batches. Sub algorithm of molding area repairing will determine molding area allocation for batches. To prevent the drop temperature, sub algorithm of determination pouring time will identify the pouring temperature for batches. Sub algorithm of batch scheduling will schedule batch to work station. Then sub algorithm of rescheduling will accommodate the dynamic environment when order was inserted. Mean tardiness from the scheduling algorithm application is 7.39 hours or minimize mean tardiness until 65.72 %, from the current scheduling algorithm. Application of the scheduling algorithm can reduce total pouring scrap into 0 kg or 100 %.
Co-Authors Anik Septiani Miftakhul Arfah Hadiani Muh. Hisjam Yuniaristanto Yuniaristanto