An exponential risk assessment for customer-oriented FMEA | |
| Author | Panarpa Ardneam |
| Subject(s) | Risk management Consumer satisfaction |
| Note | A thesis submitted in partial fulfillment of the requirements for the degree of Master of Engineering in Industrial and Manufacturing Engineering, School of Engineering and Technology |
| Publisher | Asian Institute of Technology |
| Abstract | Failure Mode and Effect Analysis (FMEA) is a manufacturing tool that widely uses in many industries to prevent potential failures. However, FMEA still has many drawbacks. For example, the different components produce the same RPN values. The relative weight is not considered between risk factors. Failures are prevented from manufacture’s viewpoint, but customers directly receive the effects. Thus, two customer-oriented FMEA models have been developed to involve customers in FMEA. However, these two models still have the problem about the duplicate RPN values and the relative weight of risk factors. Thus, further model improved dense necessary, and the new model of customeroriented FMEA has been proposed in this study. It is called exponential risk priority number for customer-oriented FMEA (ERPNc). In this model, risk factors are the exponential function that is powered by the relative weight ratio of risk factors. Also, the customer’s viewpoint is placed on the power of severity factor because the severity factor is higher hazard than other risk factors. Moreover, the relative weight of risk factors is evaluated and analyzed by pairwise comparison, the systematical way that makes the relative weight of risk factor more reliable. The product of pairwise comparison is the eigenvector weight that it will be used in consideration for risk assessment of the ERPNc model. Consequently, the frequency of duplicate RPN values is reduced in the ERPNc model. Also, the RPN values are more unique and more various than the previous models (RPNc and RPNnc) because of the specified position of the relative weight ratio. Thus, the priority order of failures is more reasonable and the prevention efficiency of failures is increased. To demonstrate, the ERPNc model has been applied in two case studies: the travel agent and the installation service for aluminum glass window. |
| Year | 2007 |
| Type | Thesis |
| School | School of Engineering and Technology (SET) |
| Department | Department of Industrial Systems Engineering (DISE) |
| Academic Program/FoS | Industrial Systems Engineering (ISE) |
| Chairperson(s) | Pisut Koomsap; |
| Examination Committee(s) | Huynh, Trung Luong;Bohez, Erik L.J.; |
| Scholarship Donor(s) | Thailand (HM King); |