Sugar manufacturingprocess :risk analysis and mitigation using fuzzy fmea and fuzzy ahp method

All attempts to produce high quality sugar do not always run smoothly due to many factors. Error in manufacturing is one of the factors causing poor sugar quality. Product quality is closely related to the efficiency of manufacturing activities. There are several risks that may result in failure during the manufacturing process of white crystal sugar. Thus, a risk analysis is needed to determine the possibility of failure that can affect the manufacturing process and product quality. This study was aimed to determine the risk priority which occurred in the manufacturing process of white crystal sugar, and risk mitigation strategies for avoiding the most influential risk. This study employed a case study at XYZ Sugar Factory. The method employed for risk assessment of sugar manufacturing process was Fuzzy FMEA (Failure Mode and Effect Analysis) method. Fuzzy FMEA was used to measure the risk, so the risk level of each factor could be obtained. After knowing the potential of the most influential risk, it was necessary to determine risk management strategy by using Fuzzy AHP (Analytical Hierarchy Process). FAHP method was used as a tool in making decision to determine the priority of the criteria to be selected. The result of FAHP method was an alternative solution that was expected to help the factory minimizing the risk. The results indicated 18 identified risks occurrences. Based on the calculation, there were 5 priority risks which had the highest FRPN value above the aggregate.