A quantitative model of equipment development quality risk conduction

Nowadays, equipment development requires the collaboration of firms which constitute an equipment development chain. There are lots of risks that influence the product quality in an equipment development chain. Meanwhile, the multiple risk factors have complex influence on each other, and present a conduction characteristic between development chain nodes along an equipment development chain, which enlarges the scope of risk influence and increases the difficulty of risk-control. Then, the quality of equipment is affected. While the risk management in each development chain node is still independent, it's unfavorable for the comprehensive management of risk and decision making. In order to solve the problems above, this paper proposes a methodology to establish a quantitative model of equipment development quality risk conduction. The main steps are: (i) Establish the model of equipment development quality risk conduction (QRC) with the help of fuzzy theory, supply chain theory and QFD; (ii) Quantify the quality risk of every equipment development chain node using cloud theory; (iii) Calculate the product quality risk. Based on the study above, we can make more effective decisions to control the risk of equipment development chain. An adapted case is studied to validate the proposed methodology.