Claim Missing Document
Check
Articles

Found 4 Documents
Search
Journal : Nusantara Science and Technology Proceedings

Sales Forecasting Analysis of Sea Snack at PD. Adi Anugrah Food Industry Zella Azzahra Achmadani; R. Rochmoeljati
Nusantara Science and Technology Proceedings 2nd International Conference Eco-Innovation in Science, Engineering, and Technology
Publisher : Future Science

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

Abstract

Covid-19 pandemic affects the industry players. The manufacturing industry, the culinary industry, and other industries face the hardship of running their business. The pandemic has seriously impacted the prospects for selling products and services. Sales that are classified as increasing and decreasing cause a lack of material preparation and prediction of needs. PD. Adi Anugrah Food Industry experienced erratic sales and lacked preparation in raw materials and other requirements. In this study, an analysis of sales forecasting of snacks made from sea juice was carried out. Sales forecasting is carried out during the period January – December 2020. The estimated sales forecast using the weighted moving average method is 1167 units, and the moving average method is 1166 units. Forecasting analysis was carried out using WinQsb and PomQM software.
Welding Quality Control Using Statistical Quality Control (SQC) Methods and Failure Mode Effect Analysis (FMEA) at PT. XYZ Rr. Rochmoeljati; Isna Nugraha; Nafa Artha Cahaya Mulia
Nusantara Science and Technology Proceedings 3rd International Conference Eco-Innovation in Science, Engineering, and Technology
Publisher : Future Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/nstp.2022.2707

Abstract

PT XYZ is the largest shipbuilding company in Indonesia. The company's products are shipbuilding and ship design based on consumer demand. In the production process of the BRS W-303 ship, defects were still found during welding, such as incomplete penetration and slag inclusion. The purpose of this study was to determine the percentage of the most dominant defects and the factors causing defects and to provide suggestions for improving the quality of welding. The methods used are Statistical Quality Control (SQC) and Failure Mode Effect Analysis (FMEA). SQC tools are check sheets, stratification, scatter diagrams, attribute control charts, and cause and effect diagrams. Then continue the FMEA analysis based on the cause-and-effect diagram for proposed improvements. Based on the results of Statistical Quality Control (SQC) research, it is known that the most dominant ship welding defects are incomplete penetration (32.81%) and slag inclusion (23.26%). Based on the results of research on Failure Mode Effect Analysis (FMEA) it is known that the root cause of the highest problem with RPN 288 is the determination of the root gap is too small or narrow. Recommendations for improvement that can be proposed are to ensure that the welder must read and understand the WPS used to weld correctly.
Defect Analysis Using Fault Tree Analysis and Failure Mode Effect Analysis in Rubber Roll Production Rr. Rochmoeljati; Isna Nugraha
Nusantara Science and Technology Proceedings 4th International Conference Eco-Innovation in Science, Engineering, and Technology
Publisher : Future Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/nstp.2023.3627

Abstract

XYZ is a company operating in the manufacturing and rubber roll service industry located in Indonesia. The frequent issue within the company is the occurrence of product rejects, leading to inefficient production processes. The research is conducted using the Fault Tree Analysis (FTA) method with recommendations for improvement from the Failure Mode and Effect Analysis. This method is employed to identify the causes of product rejection and provide preventive solutions to avoid such rejections. There are three types of rejects at PT. XYZ, namely blisters rejection with a probability of 1.137%, material impurities rejection with a probability of 1.18%, and PU rejection with a probability of 1.152%. The root causes of these rejections include operators rushing, operator fatigue, machines in need of maintenance, very short production deadlines, operator laziness, incomplete environmental cleanliness facilities, and operators joking around while working. As for recommendations to reduce and prevent the recurrence of these three types of rejections, they include regular machine maintenance, providing customers with longer estimated completion times than the actual estimates, and offering rewards to operators who meet targets without making errors.
Supply Chain Risk Assessment and Mitigation in Sugar Industry Sinta Dewi; Rr. Rochmoeljati; Chori Dwi Azizah; Christabela Jesselyn
Nusantara Science and Technology Proceedings 4th International Conference Eco-Innovation in Science, Engineering, and Technology
Publisher : Future Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/nstp.2023.3637

Abstract

In the fulfillment of consumer needs, companies can experience several risks. To overcome possible risks, companies must be able to manage the supply chain effectively. The sugar industry has a complex supply chain, and at each stage of the supply chain, some risks must be taken into account. The purpose of this study is to determine the risks that may occur and prioritize risk mitigation strategies to minimize existing risks. This study uses the House of Risk method. From the results of House of Risk Stage 2, 13 risk mitigation actions were obtained to propose solutions to minimize the occurrence of risk agents.