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INDONESIA
Journal of Engineering and Management in Industrial System
Published by Universitas Brawijaya
ISSN : 23383925     EISSN : 24776025     DOI : -
Core Subject : Engineering,
Industrial & Manufacturing Engineering
Journal of Engineering and Management in Industrial System is a peer reviewed journal. The journal publishes original papers at the forefront of industrial and system engineering research, covering theoretical modeling, inventory, logistics, optimizations methods, artificial intelligence, bioscience industry and their applications, etc.
Arjuna Subject : -
Articles 14 Documents
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Search results for , issue "Vol 10, No 1 (2022)" : 14 Documents clear
ANALYSIS AND COMPARING FORECASTING RESULTS USING TIME SERIES METHOD TO PREDICT SALES DEMAND ON COVID-19 PANDEMIC ERA Paduloh, Paduloh; Ustari, Abdul
JEMIS (Journal of Engineering & Management in Industrial System) Vol 10, No 1 (2022)
Publisher : Industrial Engineering Department, Faculty of Engineering, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/10.21776/ub.jemis.2022.010.01.4

Abstract

The Covid-19 pandemic has made uncertainty in demand very high; there have been many changes in demand due to changes in the market and people's buying methods. So that forecasting accuracy is significant for every industry, at least the forecast that is closest to the conditions faced by the company so that the company does not lose money due to forecasting errors. Time series is a widely used model for forecasting using past data. This study aims to minimize forecasting errors by analyzing which demand forecasting model is most suitable for demand conditions based on historical data on demand for masterbatch products. The method used in this study is a time series model, which consists of the season naive method, holt exponential smoothing, exponential triple smoothing, and autoregressive integrated moving average (ARIMA). Data processing is done using Rstudio software. The results show that the ARIMA method (2,1,0) (1,1,0) is the best because it has the smallest error rate value with case studies and exact data; the standard error size values used are ME, RMSE, MAE, MPE, MAPE, MASE, and ACF1. This study analyzes forecasting during the Covid-19 pandemic using time series and compares them to find the best results. Then the results of this study can be used as a reference by companies and researchers in determining the model used to make forecasts.
THE APPLICATION OF SIX SIGMA-DMAIC METHOD TO REDUCE DEFECTS AND IMPROVE THE CARTRIDGE CASE PROCESS IN AMMUNITION COMPANY Anggamawarti, Merlina Fitri; Pratikto, Pratikto; Sumantri, Yeni
JEMIS (Journal of Engineering & Management in Industrial System) Vol 10, No 1 (2022)
Publisher : Industrial Engineering Department, Faculty of Engineering, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jemis.2021.009.02.5

Abstract

PT. Pindad has a superior product, namely the 5.56 mm ammunition MU5-TJ. The product performance and quality, to be better, need changes in manufacturing processes and stricter quality control. In the MU5-TJ manufacturing process, defects in the cartridge significantly contribute to defective products, reaching 48.6%. This study aimed to evaluate the causes of the defects and improve the quality of the MU5-TJ cartridge production line. The method used in this study was Six Sigma-DMAIC (Define, Measure, Analyze, Improve, Control). The quality identification showed that the gauging process contributes to 67.8% of total defects in all production lines of cartridges. The critical factors were inspection methods and machine settings. Improvements were made by implementing auto-control every 15 minutes by the operators, setting the heading and necking, edge turning, and gauging machine speed. The improvements were shown to increase the sigma level from 3.24 to 3.45 and save the cost by IDR62.372.824,00.
SOLVING LARGE SCALE TRANSPORTATION PROBLEM IN FERTILIZER DISTRIBUTION TO MINIMIZE TRANSPORTATION COST Fanani, Angga Akbar; Rahman, Arif; Lustyana, Astuteryanti Tri; Widiyawati, Sri
JEMIS (Journal of Engineering & Management in Industrial System) Vol 10, No 1 (2022)
Publisher : Industrial Engineering Department, Faculty of Engineering, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jemis/2022.010.01.3

Abstract

Indonesia is agricultural country which have high degree of dependency to the fertilizer availability, it is because fertilizer has important role for the land fertility. Fertilizer is needed by the farmers all the time, from the initial period of planting the crop to the harvest period. This condition requires the fertilizer industry to be able to deliver fertilizer exactly when fertilizer is needed. The complexity of the transportation problem is indicated by the number of nodes in the model that represent both source and destination. In the distribution of fertilizer, the number of sources is relatively small, but the number of destinations is very large, where the number reaches 50 destination points. In solving large scale transportation complex problems, modeling techniques using Linier Programming are needed. Fertilizer demands are fulfilled from 42 buffer warehouses, and the optimal allocation for petrochemical distribution is supplied by 47 production partners. Based on the results of the calculation process using linier programming, the optimal distribution cost is 939,854,960.00 rupiahs. Meanwhile, the initial cost of distribution is IDR 1,032,267,660.00. There was a decrease of 92,412,700.00 rupiahs or about 9%. Optimization of the distribution process is also marked by the decrease in the number of production partners needed to meet the needs of 42 buffer warehouses. In the initial distribution, 56 production partners sent their products, after the calculation process only 47 production partners were needed.
A STUDY ON BUSINESS GROWTH FACTOR TO CREATE INNOVATION PROCESS OF COMPANIES (CASE STUDY IN REFRIGERATED TRUCK COMPANY) Fujiyama, Kojiro; Oktavianty, Oke; Yano, Shoichi; Haruyama, Shigeyuki
JEMIS (Journal of Engineering & Management in Industrial System) Vol 10, No 1 (2022)
Publisher : Industrial Engineering Department, Faculty of Engineering, Universitas Brawijaya

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

Abstract

Previous studies into the elements that influence the growth factors of SME show that creating new values by innovation is a key to sustainable business progress, and also that there are constant demands for creating innovation in the society. In response to such demands, there have been various models developed on creating innovation. Many have pointed out the importance of grasping the innovation not as a solution for a single problem but for the whole process of engineering development - as a system which integrates the product manufacturing, engineering and business application. Furthermore, such innovation is increasingly considered significant in the studies on the elements influencing the factors that lead to constant progress of business of, not only SME, but also companies in general. In this study, we took an example of a Japanese manufacturer which achieved the position of a niche top and has been successful in continually growing in business to investigate on and analyze the following two subjects; “the elements influencing the growth factor of an enterprise” and “the transition of the growth factors in accordance with each product lifecycle”. The result hereby shows the different elements that can create a value affecting the business growth factors in the respective stages of product lifecycle, such as Introduction, Growth and Maturity. 

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