RISK MANAGEMENT DEVELOPMENT AT PART MANUFACTURER APPROVAL UNIT (PMA) PT GMF AEROASIA

• Main Author: RAMDHAN, NURULATIFAH
• Format: Final Project
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/43387
• Institution: Institut Teknologi Bandung

Many new product development projects of GMF Part Manufacturer Approval unit (PMA) are running late. These schedule deviations affect sales target and financial condition of the unit. Through root cause analysis using fishbone diagrams, it is assessed that ineffective risk management is the main problem. Therefore, a risk management design would need to be instated to decrease the probability of time, cost, and/or quality targets being unfulfilled. This design process will utilize several methods. Risk identification will be done using Hazard and Operability Study (HAZOP) method. Qualitative and quantitative risk analysis will be done using risk matrix and Monte Carlo Simulation with sensitivity analysis, respectively. The variables used in the simulation are priority risks which could be quantified in schedule context and then further put in risk residual value analysis. A response plan analysis will also be done for priority risks. Several findings from the research are as follows. From 103 identified operational risks, 27 are priority risks. 7 risks are used as simulation variables on investment scheme and 6 used on partnership scheme. Monte Carlo simulation results shows that the probability of a project would be done within target is 22% and 20% for investment and partnership scheme, respectively. The low percentage are caused by the high risks of the simulation variables. Furthermore, 4 out of 7 risks in investment scheme and 3 out of 6 in partnership scheme are the most sensitive variables. If all of the solution ideas are applied, probabilities for investment scheme will increase to 84% and for partnership scheme will increase to 81%. But risks related to prototype development and material identification are still classified as sensitive variables.