IMPLEMENTATION OF LEAN SIX SIGMA FRAMEWORK IN IMPROVING QUALITY MANAGEMENT SYSTEM FOR LNG SHIPMENT PROCESS IN BADAK LNG

• Main Author: Dwi Utami, Prapti
• Format: Theses
• Language: Indonesia
• Subjects: Manajemen umum
• Online Access: https://digilib.itb.ac.id/gdl/view/51267
• Institution: Institut Teknologi Bandung

As a world class energy company, Badak LNG always strives to produce clean energy with the best performance standards in order to yield maximum return for stakeholders. One of Badak LNG’s responsibilities is to conduct LNG loading from the shore side to the ship with limited lay time only for 36 hours. Violation of the agreement causes an impact both morally and financially aspects. Based on the actual lay time data, although the lay time is less than 36 hours, the letters of protest were issued when the delay happened. Afterwards, the letter of protest will be followed up by incident investigation and several recommendations will be given to improve the existing system. However, this is the corrective action that improves the system based on feedback from the customer. In order to increase its competency, Badak LNG also needs preventive improvement action to improve its service quality. The aim of this final project is to develop the effective strategy to prevent delay and its disadvantages from all the LNG shipment activities under Badak LNG’s responsibility by using the Lean Six Sigma process improvement method is called DMAIC (Define-Measure-Analyse-Improve-Control). This improvement is implemented as a preventive action to prevent customer dissatisfaction due to delay time. Based on the DMAIC analysis result, there are three activities that most potentially cause the delay during LNG shipment activities which are liquid arm disconnecting, ESD trip test, and liquid purging. Since this is the first time to initiate the shipment activity’s improvement, the recommendation programs do not directly solved the problem but it is the bridging stage to find out the actual root cause for the next improvement. The recommendation programs are establish cycle time baseline, develop online cycle time log sheet, conduct yearly evaluation and recommendation, and develop online recommendation action tracking.