Document Type : Research Paper


1 Malek Ashtar University

2 Master of mechanical engineering, expert R & D department, Entekhab Industrial group

3 Faculty of Industrial Engineering, Malek Ashtar University, Isfahan

4 Assistant Professor, Faculty of Mechanical Engineering, Malek Ashtar University, Isfahan


Risk management is a process whereby risks are identified, evaluated, and responded. Implementation of risk management system at different sectors of an organization facilitates the enterprise's attainment of its objectives. Using appropriate methods to manage negative risks in products can lead to higher product quality and increased customer satisfaction. In our country, risk identification is carried out traditionally, which includes background/history data, subjective analysis, and opinions expressed by the specialists who possess the required expertise. Whereas detecting and identifying risks is basically rooted in creative endeavors to be accomplished through systematic and comprehensive efforts on the part of the undertaker. Hence, the establishment of a systematic and executive procedure means of which risks are identified, analyzed, and evaluated seems to be completely necessary. These attributes are manifested in the uniquely systematized innovative theory of TRIZ. This forecasting tool provides creative solutions to invention-related tasks. This research aims at utilizing AFP method to initiate improvements in twist Automatic Ice-maker in Entekhab Industrial group. The ice-maker in question belongs to a combi-fridge-freezer product where the utility volumes of the fridge and the freezer compartments are respectively 348 and 133 liters. The electricity consumption index of the product is A+. The ice-maker is fully automatic producing and storing ice without user's manipulation. For this purpose, experts from the SNOWA Research and Development Laboratory who have expertise and in-depth knowledge of how this ice maker works and designs are used. Drawing upon the AFP method, the working stage of the ice-maker, the existing resources in the system and its environments, and the failure scenario trees of the latter process were extracted and numerous failure modes detected. Last of all, innovative and optimal results were obtained and presented so as to improve the product leading to ice-quality augmentation and water-pollution prevention.


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