Research On Rapid Cost Estimation Method With Case-Based Reasoning

With the swift and violent development of current science and technology and the increasing customization demand, mass customization (MC) emerged as a new manufacturing paradigm in the middle and late of 1990s. In recent years, as the emerging of supply chain management and the increasing use of Internet, mass customization companies are becoming realized that improving the rapid and efficient response capacity to customers demand can lead to immense profit and competition advantage. So, this thesis studies the rapid cost estimation for mass customization with case-based reasoning and proposes corresponding model and arithmetic.Base on studying and inheriting existing domestic and international achievement, this thesis (1) uses logic BOM as the precondition and groundwork and introduces the case-based reasoning method; (2) proposes double-level CBR model of rapid cost estimation; (3) proposes a fuzzy similarity estimation method with the common form of case representation (without rigid properties range) in the CBR system and establishes the fuzzy similarity estimation model and general arithmetic; (4) analyses examples with the theories and methods mentioned above.