Heri Mujayin Kholik
Jurusan Teknik Industri, Fakultas Teknik, Universitas Muhammadiyah Malang, Indonesia

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Usulan Perawatan Mesin Stitching Dengan Metode Reliability Centered Maintenance Rizki Arga Kurniawan; Heri Mujayin Kholik
Jurnal Teknik Industri Vol. 16 No. 2 (2015): Agustus
Publisher : Department Industrial Engineering, University of Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/JTIUMM.Vol16.No2.83-91

Abstract

Based on industrial competition nowadays,  production quality occurs to be the main concern of severals top companies. Method of machine maintenance is a way to incresing their production quality. Nowadays, several companies still using a corrective maintenance to maintain their machine, which is all of machine maintenance only be performed if the machine damaged. This thesis only  focus to high frequency stitching machine. This thesis using Reability centered maintenance method  to obtain optimum maintenance interval. This method gathers 7 step of data processing, starting from data selection, determinating restricions of the system, descripting the system and function of block diagram, and then FMEA (Failure Mode Effect Analysis) and LTA (Logic Tree Analysis). The result of this method is a correct maintenance action for critical components that included in condition directed and time directed categories. Qulitative analysis for Reliability Centered Maintenance  method includes types indectification of maintenance, cause of damage and the occuring failure. Resul of the research contain several maintenance actions for critical components using condition directed method and critical component replace schedule using time directed method. From the suggested system maintenance simulation with RCM method, downtime can be decrease until 47,83%.
Analisis Kelayakan Rencana Investasi Mesin Produksi Guna Memenuhi Permintaan Heri Mujayin Kholik
Jurnal Teknik Industri Vol. 8 No. 1 (2007): Februari
Publisher : Department Industrial Engineering, University of Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/JTIUMM.Vol8.No1.31-36

Abstract

Eka Surya Makmur is a company that produce plastic bag. For couple years before, this company can't fill the customers demand because the machine capacity. Because of that, the labor working overtime, but still not optimal and effected to financial aspect significantly. That's way, need accurate analysis to minimize the failed effect and increase company income. To solve the problem, its suggest to use Prediction Method to predicted the future quantitatively based on current data. NPV (Net Present Value) is different value between current investment and reseipt net cash in future. IRR (Internal Rate of Return) is current interest level same with current cash flow or cash receipt in first investment. PI (Profitability Index) is ratio between present value proceed with present value outplay. PP (Payback Period) is payback parameter investment. The research result is that machine investment properly to conduct to avoid overtime job, and as financial aspect can increase net income. From financial prediction knew that demand increase 10% every year; NPV = Rp. 94.803.643.788; IRR = 40%; PI = 54,41 %; PP = 0,06 year (21,9 days).
Integrated Procurement-Production Inventory Model with Two-Stage Production Dana Marsetiya Utama; Heri Mujayin Kholik; Azis Fredy Mulya
Jurnal Teknik Industri Vol. 21 No. 2 (2020): August
Publisher : Department Industrial Engineering, University of Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (398.454 KB) | DOI: 10.22219/JTIUMM.Vol21.No2.185-199

Abstract

The inventory-production system concerns the effective management of the goods flows from raw materials to finished products. The Integrated Procurement-Production (IPP) system consists of many elements that must be managed effectively. The problem will be more complex if it involves deciding on the number of delivery frequencies at the retailer level. In this case, the Integrated Procurement-Production's objective function depends on the frequency of raw material shipments, the frequency of delivery of finished products, and the production cycle time. This study aims to develop an IPP system to maximize total profit. The decision variables used are the frequency of raw material delivery, the frequency of delivery of finished products, and the production cycle time. This study proposes the Dragonfly Algorithm (DA) as an algorithm for problem-solving. Dragonfly Algorithm is used to find the best inventory decision variables. This study conducted experiments with various iteration parameters and DA population. The results showed that the greater the iteration and the population used, the greater the profit. A sensitivity analysis of decision variables is also presented in this investigation.