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    EVALUASI KETERLAMBATAN PENGIRIMAN PRODUK BAHAN BAKAR MINYAK KE SPBU MENGGUNAKAN PENDEKATAN LEAN SIX SIGMA DENGAN METODE DMAIC (STUDI KASUS: FUEL TERMINAL BANDUNG GROUP - UJUNG BERUNG)

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    LapKPfinal_102420073_STENLEE ROLLANDIAZ TTD PAK IWAN.pdf (3.000Mb)
    Date
    2024-01-08
    Author
    Rollandiaz, Stenlee
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    Abstract
    This research aims to analyze and propose improvements for the delay in delivering fuel product orders that occur at PT Pertamina Fuel Terminal Bandung Group - Ujung Berung. The data used in this study includes the percentage of order delivery delays and delay data per shift. Additionally, the research utilizes a problem interconnection diagram to understand the relationships between issues related to order delivery delays. The research methodology employed consists of data analysis and the use of tools such as flowcharts, SIPOC diagrams, fishbone diagrams, control charts, and 5W+1H analysis using the Lean Six Sigma approach. Flowcharts are used to illustrate the company's operational flow, while SIPOC diagrams and fishbone diagrams are employed to analyze factors contributing to order delivery delays. Control charts are used to monitor and control the quality of the order delivery process, and the 5W+1H analysis is utilized to propose recommended improvements. The research findings reveal that Fuel Terminal Bandung Group – Ujung Berung has a very high Defects Per Million Opportunities (DPMO) value of 46,076.64 with a Six Sigma level value of 3.229. This indicates that Fuel Terminal Bandung Group – Ujung Berung is still in the average industry category in Indonesia and has a long way to go to achieve the 6 Sigma level. Through analysis using a fishbone diagram, factors causing delivery delays were identified, including delays in tanker crew, insufficient availability of tanker trucks, limited fuel filling processes in the filling shed, assistance in transferring supply to other depots, delays in tanker trucks returning to the depot, errors in the SIOD system, weather obstacles such as floods, and congestion at various delivery route points.
    URI
    https://library.universitaspertamina.ac.id//xmlui/handle/123456789/11343
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