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Vembri Noor Helia, Vembri Noor
Jurusan Teknik Industri, Fakultas Teknologi Industri, Universitas Islam Indonesia
Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mathematics Physics Transportation Other

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Journal : Jurnal Sistem Teknik Industri

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Determination Strategy for Controlling Bloodstock Components Packed Red Cell Using Monte Carlo Simulation Hanif Awandani; Helia, Vembri Noor; Ibrahim, Faisal
Jurnal Sistem Teknik Industri Vol. 24 No. 1 (2022): JSTI Volume 24 Number 1 January 2022
Publisher : TALENTA Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/jsti.v24i1.7746

Abstract

Blood supply is an important part that is very influential on health because almost all blood types are necessary for medical activities. This condition makes blood management very important, but improper blood management can cause a waste that results in huge final costs and causes losses for both the customer and the blood supplier. In this case, Monte Carlo simulation can be used to develop several policies that can optimize blood inventory levels and minimize inventory costs at Indonesian Red Cross XYZ. In this simulation, input data required are blood donor supply and Packed Red cells (PRC) demand data, this data will be used to determine the shortage and expired rate. From simulation will be obtained shortage rate of 33 blood bags and an expired rate of 75 blood bags with inventory cost Rp. 36,226,964. Monte Carlo simulation will make new policy rules with increasing the supply of whole blood (WB) which will be used as a component of the PRC and reducing the supply level. From these simulation results, the best policy will gain and applied at PMI XYZ to optimize inventory cost.
Co-Authors Aldefka A. Anafachsyah, Audrie Arum Sari, Sekar Danang Setiawan Hanif Awandani Ibrahim, Faisal Iftitah, Nur Miranda, Suci Qurtubi Qurtubi, Qurtubi Raihan Sahirah Elfahmi, Azzati Susanti, Haniatu Wahyudhi Sutrisno, Wahyudhi Zaputra, Afriza Syawal