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All Journal INFOKUM Advance Sustainable Science, Engineering and Technology (ASSET)
Diah Ekawati, Ardhianiswari
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Chemistry Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Industrial & Manufacturing Engineering

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IMPROVING PRODUCT QUALITY AND MEG RECOVERY UNIT (MRU) EFFICIENCY BY APPLYING LEAN SIX SIGMA METHODS IN A FLOATING PRODUCTION UNIT Santoso, Joko; Pratiwi, Ariska Dithya; Diah Ekawati, Ardhianiswari
INFOKUM Vol. 10 No. 5 (2022): December, Computer and Communication
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58471/infokum.v10i5.1150

Abstract

One of the challenges of managing gas from deep-water wells is ensuring that the flow from the subsea does not form a hydrate, which causes the production to stop due to blockage in the pipeline. Injection Mono Ethylene Glycol (MEG) is the technology used to prevent hydrates formation. The MEG Recovery Unit (MRU) is a system used to recover rich MEG from wells. However, after operating for four years, the MRU experienced a decrease in performance as indicated by lean MEG products that did not meet the specifications, and MEG losses exceeded the specified limit. This study examines the case by taking an effective approach to solving problems by applying the Lean Six Sigma method that focuses on improving product quality and MRU efficiency using Define-Measure-Analyze-Improve-Control (DMAIC) framework. The process starts by defining the problem of the MRU system with involves brainstorming consultation to select the root cause of the problem. Classifying and assessing these reasons has been done through the use of various tools, the fishbone diagram, Failure Mode and Effect Analysis (FMEA), and the 5 why analysis. The results show that Lean Six Sigma methodologies and tools effectively find the root causes of problems accurately and can provide continuous improvement. The quality of lean MEG products has increased with the cleanliness value below NAS 8 and Total Dissolve Solid below 100 ppm. This reduces operating costs to replace filters with savings of $42,000 per month. Meanwhile, MRU efficiency increased from 96% to 98%, and MEG losses reduced from 1500 liters/day to 750 liters/day equivalent to a savings of $36,000 per month.
Implementing Lean Manufacturing Using Value Stream Mapping for Automotive Maintenance Efficiency Sinatrya, Yusha; Diah Ekawati, Ardhianiswari
Advance Sustainable Science Engineering and Technology Vol. 7 No. 4 (2025): August-October
Publisher : Science and Technology Research Centre Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v7i4.2091

Abstract

Transportation is very vital to society these days as it provides mobility and maintains economic growth. In January 2022, Indonesia was Southeast Asia's largest auto market. PT Blue Bird Tbk., one of the largest car rental and transportation companies in Indonesia, faced very critical problems involving workshop efficiency and customer satisfaction. This study will optimize the car repair process via the implementation of Lean Manufacturing principles with the Digital Value Stream Mapping (DVSM) technique. Identification of waste was conducted via Waste Assessment Model (WAM) and a directed questionnaire, wherein the three major types of waste were overproduction (21.07%), defects (16.89%), and waiting (16.65%). For these, two VALSAT tools—Process Activity Mapping and Supply Chain Response Matrix—were employed. Simulation using Arena software was performed to validate the proposed improvements. Upon implementation, the lead time for car repair decreased from 12.887 seconds to 12.203 seconds, a decrease of 5.3%. The research indicates that lean tools can be effectively applied in car maintenance services, particularly in developing countries, to increase operating efficiency and service performance.
Co-Authors Joko Santoso Pratiwi, Ariska Dithya Sinatrya, Yusha