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Paskaria Loyda Tarigan, Elsya
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Computer Science & IT

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ANALISIS PENJADWALAN SISTEM PERAWATAN MESIN MOLDING PADA PT KWONG FAI DI KOTA BATAM nababan, rolan marcos; Paskaria Loyda Tarigan, Elsya
Computer Science and Industrial Engineering Vol 8 No 2 (2023): Comasie
Publisher : LPPM Universitas Putera Batam

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Abstract

In industrial companies to maintain company performance, smooth production is very important in every business, especially in manufacturing. The machine is one of the production factors that affect the smooth production process. The production process at PT KWONG FAI BATAM experienced a lot of machine downtime which resulted in the production process not running smoothly. This study aims to determine the machine maintenance scheduling intervals to minimize machine downtime. Reliability Centered Maintenance II with calculations of Failure Mode and Effect Analysis, MTTF, and MTTR methods used in this study. This study uses downtime data starting from July 2021 to December 2020. The results of this study obtained that the FMEA on Serial Machine 01, Serial Machine 02, and Serial Machine 05 maintenance repair dirty mold activities are maintenance repair activities with the highest or most frequent frequency based on the calculation of the RPN. maintenance intervals on Serial Machines that have the highest downtime rate include Serial Machine No. 05 Preventive Maintenance activities are carried out with maintenance intervals of 3.24 hours, Machine Serial No. 02 maintenance intervals of 105.81 hours, and Machine Serial No. 01 Preventive Maintenance activities are carried out at intervals of 13.57 hours.
ANALISIS PRODUKTIVITAS MESIN MOULDING PADA PT PLASMOTECH BATAM Nola kesmonita; Paskaria Loyda Tarigan, Elsya
Computer Science and Industrial Engineering Vol 8 No 2 (2023): Comasie
Publisher : LPPM Universitas Putera Batam

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Abstract

PT Plasmotech Batam is a company engaged in the field of injection molding by producing plastic components for the needs of connectors, capacitors, electronics and automotive. One of the molding machines used is the rotary engel machine. Machines that are used continuously result in equipment or machines being damaged resulting in long downtime and decreased machine productivity. The purpose of this research is to find out how to reduce downtime to increase machine productivity, while the method used is Overall Equipment Effectiveness (OEE). This study measures OEE values during November 2021-April 2022 and uses six big looses and analyzes these values using a fishbone diagram to find the root of the problem. The results showed that the OEE value was 87.35%, and the biggest six big loose value was equipment failure of 6.87% so that the company could increase machine productivity from the focus of the problem.
OPTIMASI PRODUKSI WIRE HARNESS DI PT SURYA TEKNOLOGI BATAM Akhmad Ihksanudin; Paskaria Loyda Tarigan, Elsya
Computer Science and Industrial Engineering Vol 11 No 1 (2024): Comasie
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/comasiejournal.v11i1.8986

Abstract

Production optimization is an effort to improve the production process by reducing or eliminating production processes that do not provide added value or commonly referred to as waste. Wire harness is one of the electronics production produced by PT Surya Teknologi Batam. Based on 7 months data in July 2023 - February 2024, it was found that the production output was not achieved. For example in July where the production target is 5000pcs while the actual production obtained is 3,485pcs. This study aims to determine the causes of unachieved production output and find out how to achieve production output. The analysis method used is Lean Manufacturing with Value Stream Mapping method, to analyze the cause of waste, fishbone diagram is used. This research identified four wastes, motion has the highest weight of 25.9%, over processing has a weight of 25.6%, waiting 24.3%, and followed by defects which have the lowest weight of 24.2%. Several ways can be done to achieve production output, including improvements to waste in motion, over processing, waiting, and defects. Motion by applying the 5S concept and providing special storage racks for form by off (equipment). Over processing by implementing a monitoring system that can provide warnings to employees if there is a shortage of materials. Waiting by increasing the number of operators in the machine process to speed up the processing procedure. Defect by providing training on the importance of being thorough and setting a schedule for routine preventive maintenance for label printers. Based on future state mapping, the process cycle efficiency value is 92.56% which was previously 72.23% which means an increase of 28.1%, this indicates an increase in productivity in the wire harness production process.
MINIMASI PEMBOROSAN PADA PRODUKSI PALLET KAYU DI PT KAYU KREASI SEJAHTERA Eryca Siswanti; Paskaria Loyda Tarigan, Elsya
Computer Science and Industrial Engineering Vol 11 No 1 (2024): Comasie
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/comasiejournal.v11i1.8988

Abstract

This research identified and resolved the problem of wooden pallet production at PT Kayu Kreasi Sejahtera, where the average defect rate reached 7.52%, exceeding the minimum limit of 5%. Other problems include long machine set up times, long material distances, and material buildup. The research aims to minimize Waste and offer suggestions for improving the production process. Based on the assessment, Waste due to excess transportation has the highest percentage of 27.94%, which affects other Waste. Analysis using a fishbone diagram identifies the root of the problem, which becomes the basis for recommendations for improvements such as implementing clear SOPs, scheduled machine maintenance, replacing damaged machines, rearranging material distances, adding employees, and using automatic rolling conveyors. The implementation of future state mapping shows a reduction in production lead time from 1455 minutes to 1100 minutes, increasing productivity and process cycle efficiency from 54.98% to 72.73%, recording an increase of 17.74%.
Co-Authors Akhmad Ihksanudin Eryca Siswanti nababan, rolan marcos Nola kesmonita