Abstract-To address the requirement of dynamic pricing and cost control in high-variation product manufacturing, nowadays many companies face the problem of generating quotes and order prices timely, accurately and consistently. A generic semantic model for the purpose of automatic cost estimation is proposed, in which a new concept named cost feature, is suggested. A cost feature can be identified with data mining methods for different targeted clients or products, and conceptually interfaced with product design and manufacturing features. Feature-based mapping model is used to determine feature scope and cost level defined, including all the dependency relations with other domain features. This model is expected to enable a visual, flexible and semantically consistent scheme to address effective and efficient product cost structures, frequent configuration variations and business changes. A case study is used to illustrate this new method. The preliminary study shows that the proposed method is potentially effective for manufacturers.Index Terms-Cost estimation, semantic modeling, product pricing, associative feature, cost feature.
I. INTRODUCTIONIn today's competitive world and the on-line business era, effective and timely cost estimation has a critical role in manufactory's success. In terms of practical applications, industry needs to quickly estimate the price for any new product configuration in a customer order either interactively or automatically by on-line applications. High cost estimation accuracy at the very early stage and effective cost control during the operation phase are essential for the smooth business operation. Quick and accurate cost estimation brings lots of advantages over competitors. Cost estimation can also affect all aspects of production processes and management decisions, such as choosing between producing the product components in-house or outsourcing the product.There have been a number of researchers who studied on accurate cost estimation for manufacturing products which in turn is a part of cost engineering. Cost engineering also defines the process and conditions for forecasting a product's price [1]. There are also lots of methods and tools for doing Manuscript received April 10, 2013; revised July 10, 2013 cost estimation. In general, cost estimation methods have two main categories: traditional and advanced approaches. Traditional cost estimation approach includes bottom-up engineering, analogy, and parametric methods. This approach is fundamentally based on historical data and experience knowledge.Advanced cost estimation approach includes expert judgment, feature-base evaluation, fuzzy logic, neural networks and data mining (DM) methods. This approach is more suitable for complex product and dynamic cost estimation [2]. Cost estimation can be carried out in each stage of a product life cycle, such as conceptualization, concept design, detailed design, prototyping and manufacture. Many researches recognize that up to 80% of the product cost is determined at the concept...