Development of Machine Vision to Increase the Level of Automation in Indonesia Electronic Component Industry

Herlambang, Hendi; Purba, Humiras Hardi; Jaqin, Choesnul

doi:10.18280/jesa.540207

Cited by 4 publications

(7 citation statements)

References 26 publications

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“…This research uses a methodology to run in a systematic and directed manner. The steps that design improvements use the Dynamo++ steps [28,30]. The stages used include Pre-study, measurement, analysis, and implementation, as shown in Fig.…”

Section: Methodsmentioning

confidence: 99%

“…The stages used include Pre-study, measurement, analysis, and implementation, as shown in Fig. 1 for dynamo++ stages [28,30].…”

Section: Methodsmentioning

confidence: 99%

“…The novelty of this study is to analyze the effect of increasing production quality on waste with the Anova test. The research steps used are dynamo++ stages, namely prestudy, measurement, analysis, and implementation [28][29][30].…”

Section: Introductionmentioning

confidence: 99%

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Evaluation of Product Quality Improvement Against Waste in the Electronic Musical Instrument Industry

Hendra

Setiawan

Hernadewita

et al. 2021

Jurnal Ilmiah Teknik Elektro Komputer Dan Informatika

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Customer satisfaction is one of the main factors that must be considered by every company to compete in the global market. One way to increase customer satisfaction is to reduce defective products and reduce waste. This method is a continuous improvement that must be carried out by every manufacturing industry. The Musical Instrument Industry is one of the producers of electronic musical instruments such as pianos. The production process has occurred several problems such as low product quality and waste (ineffective processes, inappropriate layouts, overproduction, and poor production quality). The biggest problem with this company is the large number of products that are not following company standards, such as not achieving quality standards and production not achieving targets. To improve the quality of its production, companies need to make the production process streamlined so that it will create a more effective and efficient production line. A balance between effectiveness and efficiency can be made by reducing waste. Lean Six Sigma is an approach that focuses on improving quality and eliminating waste and sustainable strategy to improve product quality while reducing waste. The company's strategy to be able to compete in the global market must be able to improve product quality and eliminate waste. This study aims to improve product quality and analyze the effect of improving quality on waste. The method used is Lean Six Sigma with dynamo stages, namely pre-study, measurement, analysis, and implementation. The results showed that the quality of the product had increased. Quality improvement has a significant effect on waste.

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Section: Methodsmentioning

confidence: 99%

“…The stages used include Pre-study, measurement, analysis, and implementation, as shown in Fig. 1 for dynamo++ stages [28,30].…”

Section: Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Evaluation of Product Quality Improvement Against Waste in the Electronic Musical Instrument Industry

Hendra

Setiawan

Hernadewita

et al. 2021

Jurnal Ilmiah Teknik Elektro Komputer Dan Informatika

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“…By combining cablebased parallel robots and machine vision, it is used as a proposal for detecting rusty bolts and liner plate edge leaks in the coal bunker maintenance process [12]. With inexpensive equipment and without human intervention, the detection of color and dent defects on sandwich panel parts can be well detected by automatic visual inspection [13]. At the electronics company, machine vision was developed to increase automation and speed up the change-over product process [14].…”

Section: Introductionmentioning

confidence: 99%

Design and implementation of intelligent electronic component inspection based on PLC and vision system

Ikatrinasari,

Herlambang,

Kosasih

2023

j. sist. manaj. ind.

Self Cite

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Customer demands for product quality are increasingly complex, requiring better inspection accuracy. It is not enough if done manually because it requires high costs and varying operator accuracy. Automatic vision inspection was developed to check the product quality of terminal-type electronic components To solve this problem. Design intelligent inspection uses a conveyor driven by a stepper motor, a photosensor to calculate product distance, guides position to direct the product, a vision camera to detect product quality, cylinder ejection for product selection, and PLC as a control system. The process of detecting normal and abnormal product quality is carried out using computer logic control, then separating the abnormal product into the reject box through the ejection cylinder. The machine speed is 60 pieces/minute. The system evaluation results are carried out on three parts of the system: the success rate on the vision camera is 100%, automatic product sorting through the cylinder ejection rate success is 100%, and the success rate for product positioning is 97.5%. This research provides a useful reference for developing intelligent automatic inspection technology in electronic components.

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“…Therefore, companies must continue to pay attention to the delivery time limit, costs to be incurred, and the quality of their products so that they are in line with market demand [6]. Quality management methods are successfully used in business process development and need to be continuously improved in terms of adapting business models so that companies become more competitive [7].…”

Section: Introductionmentioning

confidence: 99%

Analysis and Defect Improvement Using FTA, FMEA, and MLR Through DMAIC Phase: Case Study in Mixing Process Tire Manufacturing Industry

Febriana¹,

Hasbullah²

2021

JESA

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In line with the increasingly fierce industry competition, all companies strive to make continuous improvements to increase added value and reduce waste which will impact the company's ability to maintain its existence in the future. One of the problems found in the tire manufacturing industry is the quality problem of the occurrence of defects in the mixing process which is dominated by the viscosity out standard on the compound steel breaker. In this study, analysis and improvement of the defect problem were carried out using Fault Tree Analysis (FTA), Failure Mode and Effect Analysis (FMEA), and Multiple Linear Regression (MLR) to test the correlation between the root causes found to the main problem. Based on the results of the analysis found thirteen root causes where the factor of variation in material viscosity and the suitability of determining the design process has the largest Risk Priority Number (RPN) value and has a strong correlation to defects that occur based on hypothesis testing. Furthermore, improvements are made using the DMAIC method on all factors that affect the occurrence of defects. As the result, the improvement can be effective in reducing the defect to 34.5% and achieve the expected target.

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Development of Machine Vision to Increase the Level of Automation in Indonesia Electronic Component Industry

Cited by 4 publications

References 26 publications

Evaluation of Product Quality Improvement Against Waste in the Electronic Musical Instrument Industry

Evaluation of Product Quality Improvement Against Waste in the Electronic Musical Instrument Industry

Design and implementation of intelligent electronic component inspection based on PLC and vision system

Analysis and Defect Improvement Using FTA, FMEA, and MLR Through DMAIC Phase: Case Study in Mixing Process Tire Manufacturing Industry

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