International Journal of Scientific and Applied Research (IJSAR), eISSN: 2583-0279

Identify Waste to Achieve Production Targets Using Value Stream Analysis Tool (VALSAT) Method

Novera Elisa Triana, Sakti Aji Lesmana, Alif Gita Arumsari — Wed, 31 Jul 2024 00:00:00 +0000

An electronics company located in Bekasi, West Java, produces electronic components; one of its products is terminals. Based on data from the brazing department, the production target was not achieved because there was a difference or mismatch between the production target and daily production results, so it was necessary to improve the production line by identifying waste during the production process. The production target per shift is 2040 pcs, while the actual production output is 1927 pcs. An effective and efficient way to identify waste and its causes must be developed using Value Stream Mapping Analysis Tools (VALSAT). This research aims to find the causes of not achieving production targets and identify waste in the production process so that the production process is more efficient and effective using a brazing machine. By using VALSAT, it is hoped that it can describe problems and provide solutions. Value Stream Analysis Tools (VALSAT) is a tool that is used to map value streams in detail and focus on processes that have added value. VALSAT helps facilitate and understand existing value stream mapping and helps facilitate the resolution of identified waste. Detailed mapping from VALSAT can also be used to find the root causes of waste that frequently arise and occur so that the causes of not achieving production targets can be eliminated.

Quality Function Deployment (QFD) Analysis For Mobile Signal Application Improvement At Indonesian Cement Manufacturing

Muhammad Isa Lufti, Jakfat Haekal, Freska Lionia Darlion — Wed, 31 Jul 2024 00:00:00 +0000

The Mobile Signal application is a news and information portal from the company online especially for employees to make it faster and practical access to information and news compared to e-magazines issued at the end of each month. However, over the past 6 months, only 15% of number of employees who have used this application. Monitoring results showsseveral problemssuch as: not being able to log in, could not download and install the application, not-compatible with mobile phones, the content problems and attractiveness. Therefore, this research was conducted to find solutions of these problems. Using the Quality Function Deployment method, it is aimed to get recommendations for improving application attributes according to consumers requirements. The variables studied include the usability goals of a digital product, namely efficiency, effectiveness, memorability, safety, utility and learnability. Method data collection using questionnaires to 345 people, interviews and documentation. Data were analyzed using quantitative and qualitative methods QFD stages. The research results showed that 25 of the 30 attributes were not fulfilled Signal user satisfaction level, the house of quality matrix produces 5 technical characteristics as well as 15 recommended repair parts.

Quality Control in Reducing Waste Defects in the Production Process Using the VSM Method in Electronics Component Manufacturing Company

Wed, 31 Jul 2024 00:00:00 +0000

If a company experiences a surge in the number of defects on the Frame Main Raph 322 production line, this is a serious problem that needs to be addressed immediately. The purpose of this study is to ensure the achievement of QTPP (Quality Target Product Profile), namely by knowing the high rate of defects, namely the average for 1 year is 2.5%, namely as many as 725 pcs/year, the largest defect is found, namely in the type of defect Unpos board assy of 39 %. In repairing and improving the production line, it is necessary to identify the causes of waste. Lean Six Sigma integration using the DMAIC, VSM and VALSAT methods is an effective way to determine waste and causes of waste. The analysis phase is carried out by knowing the VA and NVA values and implementing improvements based on FMEA.