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All Journal Journal of Economic, Bussines and Accounting (COSTING) JUMANJI (JURNAL MANAJEMEN JAMBI) Juriti Prima (Jurnal Ilmiah Teknik Industri Prima) Jurnal Sistem Teknik Industri Dinamis The International Conference on Education, Social Sciences and Technology (ICESST) Asian Multidisciplinary Research Journal of Economy and Learning
Sukaria Sinulingga
Universitas Sumatera Utara (USU)
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Energy Engineering Environmental Science Industrial & Manufacturing Engineering Mechanical Engineering Public Health Social Sciences Transportation Other

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Journal : Dinamis

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Analysis of Overall Equipment Effectiveness (OEE) Enhancement With Total Productive Maintenance Improvements in Rubber Company ALDA, TANIA; Bastanta Silalahi, Hiskia; Sinulingga, Sukaria
DINAMIS Vol. 12 No. 2 (2024): Dinamis
Publisher : Talenta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/dinamis.v12i2.18817

Abstract

This research was conducted at a company engaged in rubber processing. This company plants, maintains, and processes rubber to produce Crumb Rubber. Based on observations during the study, it is known that there are defective products with an average of 400 kg per month. The type of defect found in the product is a white spot. Defects in these products are caused by failures in the performance of machines that experience thirst or collection, causing white spots in the products produced. This study aims to improve the company's performance by reducing defective products by analyzing the factors that cause a decrease in company performance, measuring the overall equipment effectiveness (OEE) value, and providing an improvement design to improve machine performance so that defective products can be minimized. The research found that two dominant factors cause high machine breakdowns: maintenance schedules and raw material quality. Based on the calculation results, the average overall equipment effectiveness value is 46%. Machine performance is not according to OEE standards due to the average value of the availability rate being 80%, the performance rate being 93%, and the quality rate being 57%. Based on this, the improvement design for the low OEE value is to improve the suggestion system, improve the quality control group, and implement the company's PDCA (Plan, Do, Check, Act) cycle.
Analyzing Supply Chain Risks in the Tea Industry Using SCOR and HOR Shalihin, Ahmad; D Sihombing, Clarisa; Sinulingga, Sukaria
DINAMIS Vol. 13 No. 2 (2025): Dinamis : In Press
Publisher : Talenta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/dinamis.v13i2.20215

Abstract

The tea plantation sector has a complex supply chain, and the production process at the black tea processing company is often affected by various operational issues. One of the main problems is delays in raw material processing caused by the late arrival of wet tea leaves, which are further aggravated by machine breakdowns and a lack of worker discipline. These conditions can disrupt or even halt production, emphasizing the need for effective risk mitigation measures. This study aims to identify risk factors in the black tea production supply chain using the Supply Chain Operations Reference (SCOR) model and to formulate priority mitigation strategies through the House of Risk (HOR) method. The results of the HOR Phase I analysis identified 21 risk events and 4 priority risk agents with a cumulative Aggregate Risk Potential (ARP) value of 76.82%. The four main risk agents are: (A2) irregularities or delays in the transportation of wet tea leaves, (A6) lack of worker discipline, (A7) machine damage or malfunction, and (A8) low employee awareness during work. The HOR Phase II analysis produced seven mitigation actions, which were ranked based on the Effectiveness to Difficulty Ratio (ETD). The top three priority actions are (PA₁) conducting analysis and evaluation of employee performance (ETD = 6.00), (PA₃) increasing supervision of foremen at each station (ETD = 5.00), and (PA₂) creating a schedule for picking wet tea leaves (ETD = 5.00). Supporting actions include quality control of raw materials (PA₄), routine machine maintenance (PA₅), increasing awareness to work carefully (PA₇), and limiting machine loads to maximum capacity (PA₆). The results indicate that human and managerial factors—including employee performance, supervision, and work scheduling—are the dominant contributors to supply chain risk. Therefore, mitigation strategies should prioritize management and behavioral improvements, supported by technical maintenance and process control, to enhance the efficiency, reliability, and resilience of the black tea supply chain.
Co-Authors Abdul Rahim Matondang Aulia Ishak Bastanta Silalahi, Hiskia D Sihombing, Clarisa Dalimunthe, Sri Baginda Daulay, Donni Syahrial Hanafi Dulmuzid, Dulmuzid Gurusinga, Mentari Oktaria Harmein Nasution Humala Napitupulu isfenti sadalia Juliza Hidayati Lubis, Rizki Wiharni Az. Manik, Donald Meilita Tryana Sembiring, Meilita Tryana Nazaruddin M Pasaribu, Jahartap Yustin Putri, R. Mawarni Rosnani Ginting Said Munal Akid Shalihin, Ahmad Siahaan, Elisabet Sihombing, Clarisa D Simarmata, Roberta Sinambela, Yusnia Siregar, Khairun Nissa Sitepu, Ferdyanta Sugih Arto Pujangkoro Tania Alda Utomo Hadi, Utomo Wiharni Az Lubis, Rizki Yanti, Nani Vivi