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Meldia Ananda
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Industrial & Manufacturing Engineering

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PENDEKATAN LEAN MANUFACTURING UNTUK MENGURANGI WASTE PADA LANTAI PRODUKSI CRUMB RUBBER DI PT DJAMBI WARAS JUJUHAN Meldia Ananda; Tri Ernita; Faridatul Azizah
SAINTEK : Jurnal Ilmiah Sains dan Teknologi Industri Vol. 2 No. 1 (2018): JISTIN Vol 2 No 1
Publisher : Universitas Katolik Musi Charitas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32524/saintek.v2i1.111

Abstract

PT Djambi Waras Jujuhan is a company engaged in the production of crumb rubber. During the production process there is still waste or waste, namely defect, waiting and transportation. To reduce waste, a lean manufacturing approach is carried out, so that it is known the causes of waste on the production floor with VALSAT, and provides suggestions for improvements with FMEA. Based on the results of the study, it is known that the causes of waiting are sluggish workers, inaccurate, trouble in the engine, only forklift 1, and uncertain weather. The cause of the defect is the lack of accuracy, fatigue, creeper diameter shrinking, blunt creeper rool, improper knife settings, improper temperature regulation, dirty raw material, thick blanket, high raw material moisture content, and rain. The cause of transportation is that the work procedure is not carried out properly, the worker is only 1, and the forklift is only 1. From FMEA it is known that the RPN value of each waste is waiting for 294, the defect is 252, and transportation is 36. To reduce waste is recommended to reduce energy work, admonishing workers who do not comply with regulations, choosing workers who have good skills in accordance with their fields of work, increasing control actors, improving work methods, and adding transportation equipment.
Analisis Perencanaan Produksi Roti Untuk Memenuhi Permintaan di UD. Bunga Bakery Meldia Ananda; Gamindra Jauhari
SAINTEK : Jurnal Ilmiah Sains dan Teknologi Industri Vol. 2 No. 2 (2018): JISTIN Vol 2 No 2
Publisher : Universitas Katolik Musi Charitas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32524/saintek.v2i2.138

Abstract

Production planning can be defined as a process for producing goods in a certain period in accordance with what is predicted or scheduled through organizing resources such as labor, raw materials, machinery and other equipment. Determining the optimal number of products to be produced is the key to proper production planning. Production needs are carried out to meet demand at the minimum cost level. The purpose of this study is to estimate (predict) demand which can be used as the basis for making a production plan, by determining how many products to produce, utilizing limited resources efficiently. And increase production capacity to meet the ups and downs of demand. After forecasting by using a constant method, linear and quadratic bread, sayakaya, chocolate, coconut, blueberry, pineapple with the smallest error method, namely the standard error estimate (SEE), the constant method has the smallest error value. The next period is predicted the number of requests for sarikaya bread for 464700 packs, chocolate flavor 1390152 packs, coconut flavor 508524 packs, blueberry flavor 515112 packs, and pineapple flavor 256356 packs.
Penerapan Metode Six Sigma (DMAIC)Untuk Menuju Zero Defect Pada Produk Air Minum Ayia Cup 240 ml Meldia Ananda; Gamindra Jauhari; Surga Ridwani
SAINTEK : Jurnal Ilmiah Sains dan Teknologi Industri Vol. 3 No. 1 (2019): JISTIN Vol 3 No 1
Publisher : Universitas Katolik Musi Charitas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32524/saintek.v3i1.140

Abstract

Company can be competitive in industry by providing a good quality product according to specification and have no defect. Used DMAIC concept (Define, Measure, Analyze, Improve, Control) of six sigma method can be used to get zero defect level. The defines phase used to identify the problem. The measures phase used performed to measure the level of disability in a production. The analyzes phase to determine the cause of problem in production process using fishbone diagram. Improvements phase used to improve the process and eliminate the cause of disability based on the analyze phase. The last phase is the controls phase, used to control the performance and ensure the main problems cause the disability does not reappear using Statistical Process Control (SPC). From the result of analysis data obtained DPMO value and sigma level before the application of six sigma method is 30,020 cups per million production on 3.38 sigma level. Whereas after the application of six sigma method obtaining DPMO 7,093 cups per million production on 3.95 sigma level. With the result, reduction of defect is as much as 22,927 cups.
Co-Authors Faridatul Azizah Gamindra Jauhari Surga Ridwani Tri Ernita