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Journal : PROZIMA (Productivity, Optimization and Manufacturing System Engineering)

Redesign of Dust Filter Tools in Small and Medium Industries (IKM) by Integrating Reverse Engineering and Root Cause Analysis (RCA) Ika Sasmita Sari; Wiwik Sulistiyowati
PROZIMA (Productivity, Optimization and Manufacturing System Engineering) Vol 3 No 1 (2019): Juni
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/prozima.v3i1.1264

Abstract

Gerandong crackers are different types of crackers with other crackers, the main ingredients gerandong crackers derived from the ready-made crackers, gerandong crackers production process consists of several stages one of which is the dust filter stage. At this stage use the filter tool. In terms of use, this tool is working properly. However, this tool is still not effective, it needs to be redesigned on the tool to improve. The results of this study include: Improving the design of dust filters in the process of making gerandong crackers in terms of how to use reverse engineering methods. From design that can be expected can be repaired from dust filter tool. Recommendations to reduce air pollution are less effective. The Efforts to improve the design of dust filter equipment in this study using reverse engineering methods assisted by CAD (Computer Aided Design), in this case solidwork software and will be integrated with Root Cause Analisys. The result of this research is a new design of dust filter tool that is practical and effective, practically not doing a lot of arrangement and switching tool when will production, effective in reducing dust when production and output yielded cleaner than before
Optimization of Pipe Production Scheduling in Line 18 Using First Come First Serve (Fcfs), Earlier Due Date (Edd), Short Process Time (Spt) Methods (Case Study: Pt Wtur) Mohamad Rizal Fadli; Wiwik Sulistiyowati
PROZIMA (Productivity, Optimization and Manufacturing System Engineering) Vol 3 No 2 (2019): Desember
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/prozima.v3i2.1268

Abstract

For machine line 18, is intended to produce PVC pipe with a 5 ", 6" and 8 "with each contained item type AW and type D with a turn of the cycle a certain schedule. From the turn of this cycle, there are a couple of the impact is too long good finish duration of vacant stock in the Warehouse Production (GHP) pipe. The impact of the long duration of the good stock of empty finish unachieved impact on consumer demand (in this case the agent). By not reaching the consumer demand impact on service level SCM & Delivery. The purpose of this study to determine the optimal level of machine line 18 so that the products PVC size 5 ", 6" and 8 "are produced to meet the buffer stock storage. Thus, this research is expected to make a production schedule to meet the stock warehouse to the fullest, can meet the needs of consumers (agent) to the maximum but not over. From the data and data analysis using the First Come First Serve (FCFS), Earlier Due Date (EDD), Short Process Time (SPT), the SPT method is the most optimal method by having an average completion time of 4,10 days with 36,75% utility, then the average number of jobs 2,77 work, and delays the average occupation is 0,42 days.
Minimize Defects in 5 Liters Jerry Cans by Using Statistical Quality Control and Root Cause Analysis Bayu Bisma Nanda; Wiwik Sulistiyowati
PROZIMA (Productivity, Optimization and Manufacturing System Engineering) Vol 4 No 2 (2020): Desember
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/prozima.v4i2.1302

Abstract

PT. DS2 is one of the producers of household appliances, kitchen utensils, and children's toys to bottles and jerry cans, to produce 5 liters of jerry using 2 Blow Molding machines that can produce an average jerry of 6750 / plastic jerry per day. In the production process there are defects found in 5 liter jerry products. This study aims to determine the cause of defect, what factors cause defect. Method used in this research is SQC and RCA in an effort to determine the defect in the 5 liter jerry production process. From the results of research that has been done, the highest value of disability is PL bloom defect with 1686 pcs with a cumulative percentage of 41%. Based on the analysis using the control p chart that all percentages of defective pruduct are still in the control chart and declared safe.
Penentuan Faktor – Faktor Berpengaruh Terhadap Kualitas Kuat Tekan Bata Ringan Dengan Metode Statistical Process Control (SPC) Dan Metode Taguchi Bayu Arif Wicaksono; Wiwik Sulistiyowati
PROZIMA (Productivity, Optimization and Manufacturing System Engineering) Vol 1 No 1 (2017): June
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/prozima.v1i1.706

Abstract

PT.Viccon Modren Industries is a company engaged in the brick industry light . Problems often arise during the process of making light brick is a lightweight brick compressive strength is not in accordance with company standards for ˃3,50 N / mm² , so the quality is not optimal light brick . In an effort to overcome these problems , it is necessary to control the production of Online Quality Control with Statistical Process Control methods to identify the root of the problems that occur in the production of lightweight brick . Statistical tools in Statistical Process Control methods include check sheets , Pareto charts , cause-effect diagrams , and maps control p . Then the data Statistical Process Control is integrated with the Taguchi method as Offline Quality Control to be used as a parameter in determining the factors that have significant influence in the optimization of compressive strength of lightweight brick. Based on the research showed that the factors significantly influence the light brick compressive strength is the amount of cement and gypsum number . Combination level of the factors that resulted in the average value and variance of compressive strength of lightweight brick that is optimal is the same , namely the setting factor water volume at level 2 for 150 Liter ( A2 ) , factor the amount of silica sand on level 2 of 550 Kg ( B2 ), cement jumalah factor on level 3 of 350 Kg ( C3 ) , as well as gypsum julah factor on level 3 of 300 Kg ( D3 ).
Production Forecasting with Multiple Linear Regression Method Sulistyono Sulistyono; Wiwik Sulistiyowati
PROZIMA (Productivity, Optimization and Manufacturing System Engineering) Vol 1 No 2 (2017): December
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/prozima.v1i2.1350

Abstract

Dengan banyaknya pembangunan gedung-gedung, merupakan peluang besar yang bagus untuk industri mesin pendingin. Untuk memenuhi terhadap permintaan mesin pendingin diperlukan peramalan yang tepat dalam pengambilan keputusan dalam proses produksi. Peramalan produksi merupakan bentuk pembuatan keputusan yang dijadikan sebagai landasan dibanyak industri manufaktur dan industri pelayanan. Tujuan dilakukan penelitian ini adalah untuk meramalkan jumlah produksi sehingga dapat menentukan jumlah produksi mesin pendingin dalam 12 periode dimasa yang akan datang. Analisis regresi merupakan analisis yang bertujuan untuk menentukan model yang paling sesuai untuk pasangan data serta dapat digunakan untuk membuat model dan menyelidiki hubungan antara dua variabel atau lebih. Hasil persamaan matematika regresi yang mempengaruhi jumlah produksi adalah variabel kerusakan mesin (KM) dan harga bahan baku (HBB) serta jumlah tenaga kerja (JTK) nilai konstanta 500.308 menyatakan bahwa jika tidak ada variabel kerusakan mesin, harga bahan baku dan jumlah tenaga kerja, maka jumlah produksi sebesar 500.300. Dengan mengasumsikan diabaikannya variabel independen lainnya, jika kedua variabel (X1_KM) bernilai positif sebesar 47.869 dan (X2_HBB) bernilai positif sebesar 7.2700000, maka jumlah produksi meningkat sebesar 1%, dan jika variable (X3_JTK) bernilai negatif -3.460, jumlah produksi mengalami penurunan 1%, sebesar 3.640.
Literature Review: Use of the Taguchi Method for Quality Improvement: Literature Review: Penggunaan Metode Taguchi untuk Peningkatan Kualitas Setyo Pradana, Eka; Sulistiyowati, Wiwik
PROZIMA (Productivity, Optimization and Manufacturing System Engineering) Vol. 6 No. 2 (2022): Desember
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/prozima.v6i2.1575

Abstract

Literature Review articles from a collection of various research journals using the Taguchi method in quality development taken from Scopus data of 2,000 documents data from 2000 to 2022. Scopus is an index of scientific literature to provide accurate information about the metadata of each scientific article individually, including publication data, abstracts, references, etc. Using this Scopus data can provide a broad overview of the use of the Taguchi method for quality development in all fields in detail. With this software, data analysis can be generated using the Taguchi method in any field. As well as in engineering as much as 32.2% (14,513), in materials science as much as 18.4% (8,272), others 10.3% with Biochemistry, Genetics and Molecular Biology (818), Decision Sciences (788), Agricultural and Biological Sciences ( 571), Earth and Planetary Sciences (501), Multidisciplinary (431), Medicine (400), Social Sciences (348), Pharmacology, Toxicology and Pharmaceutics (297), Immunology and Microbiology (235), Economics, Econometrics and Finance (105 ). Meanwhile, countries with documents regarding the Taguchi method are India with 8,307 copies, Taiwan with 2,511 records, and Iran with 2,351 papers. As for the country, the least in Japan, which is 492 documents. From the results of this analysis, it can conclude that the Taguchi method plays a significant role and is needed in any research for quality development in many countries, especially in the engineering/manufacture field.