Isna Nugraha
Department of Industrial Engineering, Faculty of Engineering and Sains, Universitas Pembangunan Nasional “Veteran” Jawa Timur, Surabaya 60294, Indonesia

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Single Machine Production Scheduling Analysis Using FCFS, SPT, LPT, and EDD Methods To Increase Work Productivity in Furniture Companies Farida Pulansari; Isna Nugraha
Nusantara Science and Technology Proceedings 5th 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.2024.4503

Abstract

A furniture company has production scheduling problems by streamlining production output with one machine. This research aims to increase the work effectiveness of furniture companies by using a single machine and comparing several of the most efficient methods. The methods used are the FCFS, SPT, LPT, and EDD methods. From the research results of these four methods, it was found that the best method to use was the SPT method. However, there are still obstacles in the form of using a single machine which still really slows down the manufacturing process of a product. Products will still experience delays if the number of orders coming in increases. Therefore, a furniture company needs to add machines to reduce or minimize production delays that occur in the company. It would be better for future research to use other methods so that we can compare the results of another method.
Implementation of Lean Six Sigma in Improving Quality by Reducing Defective Products in Aqua Mineral Water Gallon Distribution Rusindiyanto; Isna Nugraha; Friska Aryanti
Nusantara Science and Technology Proceedings 5th 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.2024.4507

Abstract

Surya Galon Agent is one of the gallon agents in Sidoarjo. The gallon product that is in great demand is the AQUA gallon. The problem faced is the high number of defects. This research aims to identify the types of defects that cause high levels of weekly defects for one year, determine the factors that influence the quality of AQUA mineral water gallon products at Galon Surya Agent, analyze the main causes of each type of defect and provide suggestions for improvement using the Lean Six Sigma approach. The Lean Six Sigma method seeks to integrate Lean manufacturing principles with Six Sigma. From the total number of gallons of AQUA mineral water products totaling 5720 units, the number of damaged units was 220 units. From research that has been calculated, the DPMO result is 1282 with a sigma level of 3.73. These results show that quality control for AQUA gallon mineral water products still requires improvement to minimize the number of defects. Analysis of SQCDMPE (Safety, Quality, Cost, Delivery, Moral, Productivity, Environment) is Improved monitoring of raw materials; Reduction in defect rate from 3.73 sigma to 4.01 sigma, an increase of 0.28 sigma; Decrease in repair costs through quality control; Improvement in timely delivery of products to consumers, reducing customer complaints; Increased employee satisfaction and motivation through training programs and rewards; Increased productivity due to process improvements and more regular machine maintenance; Reduction in environmental impact through better waste management and use of more eco-friendly raw materials.
MRT Operational Cost Optimization with Lingo Programming and the Vogel Approximation Method Isna Nugraha; Farida Pulansari; Tivani Nava Arier; Achmad Gufron
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.2023.3632

Abstract

When the MRT was first operated, operations ran smoothly and it is hoped that this condition will continue to be optimal in the long term and have efficient operational costs. As a corporation that offers transportation services, PT MRT XYZ distributes passengers. Fixed expenses, variable costs, and travel costs all have an impact on efficient operational costs. Minimizing operational costs to support other costs, like maintenance costs, is vital for MRT XYZ operations to run as efficiently as possible. The study's goal is to determine the MRT system's operating expenses. The optimal operational costs, which were determined by using the travel matrix computation, were IDR 1,267,110,000,000 based on the analysis and discussion's findings. The factors utilized according to Tyonardo, the MRT station area's function and the costs that affect operations are used to determine the variable number of passengers using financial modeling. Optimizing language costs is anticipated to be the primary determinant in deciding how much profit PT MRT will make.
Quality Control Analysis to Reduce Instant Noodle Product Defects with Six Sigma and Kaizen Method Isna Nugraha; Dwi Sukma Donoriyanto
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.2023.3633

Abstract

PT. XYZ is a company operating in the food industry, with its main product being instant noodles. In its production process, not all products produced meet the quality standards set by the company. This indicates the presence of defective products, often due to errors in factors such as machinery or human resources, among others. Initial observations reveal that there are still many defects in their products. Quality control at PT. XYZ is done manually by the owner, who supervises each production cycle. Defects in PT. XYZ's products are categorized into three types: torn noodle packaging, crushed noodles, and torn seasoning packaging. Therefore, improvements are needed in the production of instant noodles by PT. XYZ. This research aims to improve the quality of production in the company and to explain the approach to analyzing the defect rate of instant noodles using Six Sigma and Kaizen. The results obtained using the Six Sigma method in the DMAIC analysis (Define, Measure, Analyze, Improve, Control), showed that product quality testing during the instant noodle production process resulted in 3238 failures. The Defects Per Million Opportunities (DPMO) value was 41172.88, which, when converted to a sigma level, was 3.23, indicating that the sigma level was at the industry average in Indonesia. This suggests that there is a potential for 41172.88 defects per one million productions, showing an inconsistent pattern of DPMO and sigma achievement. This indicates that the production process has not been managed accurately and requires improvement, particularly in the quest for zero defects.