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All Journal TEKMAPRO Journal of Industrial Engineering and Management International Journal of Industrial Optimization (IJIO) Nusantara Science and Technology Proceedings Juminten : Jurnal Manajemen Industri dan Teknologi
Sumiati Sumiati
Program Studi Teknik Industri Fakultas Teknik Universitas Pembangunan Nasional “Veteran” Jawa Timur
Agriculture, Biological Sciences & Forestry Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Engineering Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Medicine & Pharmacology

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PENGENDALIAN PERSEDIAAN BAHAN BAKU DENGAN MENGGUNAKAN SIMULASI MONTE CARLO DI UD. SELEBRITI Sumiati Sumiati; Iriani Iriani
Tekmapro : Journal of Industrial Engineering and Management Vol 12 No 2 (2017): TEKMAPRO
Publisher : UPN Veteran Jawa Timur

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (373.448 KB) | DOI: 10.33005/tekmapro.v12i2.79

Abstract

Penelitian ini bertujuan untuk menentukan jumlah persediaan bahan baku yang optimal dan mengetahui seberapa besar minimasi total biaya persediaan dengan menggunakan metode simulasi Monte Carlo, sehingga dapat menyelesaikan permasalahan pada perusahaan yaitu tingkat pemesanan bahan baku tidak dapat diketahui secara pasti (probabilistik)sehingga sering kali persediaan bahan baku mengalami kelebihan (Overstock). Objek penelitian dilakukan di UD. Selebriti yang merupakan perusahaan manufaktur yang bergerak pada bidang peralatan rumah tangga. Variabel terikat pada penelitian ini yaitu mengoptimalkan jumlah persediaan dan meminimasi total biaya persediaan. Sedangkan variabel bebas yaitu keputusan yang peubahnya akan mempengaruhi jumlah persediaan dan total biaya persediaan. Dari hasil perhitungan diperoleh jumlah optimal persediaan bahan baku adalah High Density Polyetilene sebesar 85.541 Kg, Poly Prophilene sebesar 71.598 Kg, dan pewarna sebesar 954 Kg. Dari jumlah persediaan optimal tersebut, diperoleh nilai persediaan sebesar Rp. 1.850.188.000 dan nilai persediaan ini lebih kecil dari nilai persediaan pada perusahaan sebesar Rp. 1.982.404.000. Total biaya persediaan pada perusahaan yaitu sebesar Rp. 2.007.143.825dan total biaya persediaan menggunakan metode simulasi Monte Carlo sebesar Rp. 1.868.317.025dengan penghematan sebesar 6,91% atau senilai Rp. 138.826.800 Sehingga dapat disimpulkan bahwa metode simulasi Monte Carlo dapat memberikan solusi terbaik dengan menghasilkan total biaya persediaan yang lebih kecil dari total biaya persediaan yang dihasilkan perusahaan.
Determining Distribution Vehicle Routes to Reduce Distribution Costs Using Sequential Insertion Method at PT. XYZ Sumiati; Sinta Dewi; Isna Nugraha
Nusantara Science and Technology Proceedings 2nd International Conference Eco-Innovation in Science, Engineering, and Technology
Publisher : Future Science

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

Abstract

VRP is concerned with determining routes for problems involving more than one vehicle with a certain capacity to serve consumers with their respective requests. Route determination is one of the important factors in delivering products to consumers. Determining the optimal distribution route can minimize distance, shorten product delivery time and save transportation costs. PT. XYZ is a company engaged in the distribution of consumer goods. Problems that are happening at PT. XYZ is a product distribution problem where the number of vehicles is limited. The number of customers and the distance from the depot to the customer and from one customer to another is far away. Therefore, it is necessary to determine distribution routes, especially in transportation problems, to save time, distance, and distribution costs. The objectives to be achieved from research at PT. XYZ is to determine the product distribution route using the Sequential Insertion method. Based on the data processing results, the route Sequential Insertion method can serve customers in 5 routes with a total distance of 227.8 km, a total travel time of 15.9 hours, and a total distribution cost of IDR 145,792/week. The travel distance savings are 28.20 km, and the percentage of distribution cost savings is 11%, or the distribution cost savings are IDR 866,304/year. So, the Sequential Insertion method can be applied to determine the optimal distribution route to produce a minimum distribution cost
Quality Control Analysis of Steel Plates Products at PT. ABC Using Seven Tools and Kaizen Method Sumiati; Isna Nugraha
Nusantara Science and Technology Proceedings 3rd International Conference Eco-Innovation in Science, Engineering, and Technology
Publisher : Future Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/nstp.2022.2731

Abstract

Quality is the overall set of characteristics of a product or service in satisfying part or all of the needs of consumers. Consumers as product users always compare in choosing or using products so this situation results in the role of quality being increasingly important. The problems faced by PT. ABC is the defect rate that occurs in the production of High Strength Steel Plates, namely in January - September 2017 the defect rate of the High Strength Steel Plates type is 3.28%. This of course greatly affects the efforts of PT. ABC to increase production results or at least reduce the level of defects that occur. The purpose of this research is to find out the factors that cause defects, analyze product defects and analyze the causes for continuous improvement. This can be done using the Kaizen method. This technique uses the basic tools of Seven Tools. The results showed that based on data processing using Seven Tools, it can be seen that the number of defects from the type of defect on the steel plate High Strength Steel Plates during 9 months was wavy defects with a percentage of 26.36%, wrong cut with a percentage of 27.61%, not symmetrical with a percentage of 25.62%, and deep scale with a percentage of 20.39%. The results of the analysis that the cause of wrong cutting defects are caused by human factors that are not careful, lack of concentration, and lack of skill. To overcome this problem, Kaizen or 5S analysis was made. Improvements have been made to the production of High Strength Steel Plates for a period of 9 months, from 3.28% to 2.60% there was a decrease in defects or 0.68%.
Minimizing production cost for kendang djembe production through goal programming model Nabila Puspanola; Sumiati Sumiati
International Journal of Industrial Optimization Vol. 3 No. 2 (2022)
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/ijio.v3i2.6658

Abstract

Kendang djembe is a percussion instrument played by striking with the fingers and palms. The body of the kendang djembe is generally made of wood and shaped like a cup or mug, carved either by machine or traditionally only by hand. This problem affects the production costs, the employee working house, and the profit of kendang djembe. Customer orders and requirements determine the production process for kendang djembe. It leads to fluctuations in market demand, affecting production costs and the working hours of kendang djembe employees. As a result, employees work overtime when orders rush in, resulting in poor product finishes such as crude engraving and painting. This research aims to minimize the production cost of kendang djembe, maximize the employee working hours, and maximize the profit by using the goal programming method. Goal programming is applied to decide the number of kendang djembe, the minimum production cost, and the time for each kendang djembe. The result of this research is that CV. Maharani Abadi has to make 237 units of kendang djembe paintings, 1266 kendang djembe carvings, 870 kendang djembe painting carvings, and 91 kendang djembe deep carvings. CV. Maharani spent a production cost of Rp 399,413,400, with the employee working 1846.36 hours, and obtained a maximum profit of Rp 126,526,600. This research helps the company to avoid unprofitable options in the production process of kendang djembe.
Co-Authors Afrilia S K Agus Wahyu Abdirrahman Ahmad Rizki A Aji Setiawan Dwi Sukma Donoriyanto Enny Aryanny Farida Pulansari Fransisca Diah Ayu V Iriani Iriani Isna Nugraha Muhammad Raka Adi Pratama Nabila Puspanola Nadia Sarasabella Andrijanto Prasetyo Ari Bowo, Prasetyo Ari Redi Prasetiyo Sinta Dewi Yola Bagus Priliyanto