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230 Irène Alexandrescu et al. 3. Suggested Product Configuration Chain As discussed in [5] by A le x a n d r e s c u and F r a n k e , the solution for a faster and better generation of offers is a complete and integrated system that sustains the whole configuration chain, from the client request analysis to the configured model of the product. The suggested product configuration chain is shown in Fig. 2. Fig. 2 – Methodology for faster and better design of high quality complex customized products. In order to shorten the offering generation time, both the client request clarification and the product design process have to be accelerated and the quality of the transferred information has to be improved. The solution is a software system that integrates the product data with existing virtual methods in order to partially automate the configuration. If a customized product is needed, a completely automated configuration system is impossible. The algorithmization of the design process is elaborately discussed by F r a n k e in [6]. However, it is possible to accelerate and optimize the configuration chain through better requirement definition, product parameter visualization and goal conflict analysis. Fig. 3 presents the implementation solution – the main software tool is the configuration module, which is used by both sales and engineering design departments in order to configure a custom solution. The output of both departments is the customized offer information (such as prices, conditions, related product pictures and site plans) and the customer specific technical information (such as exact technical description and parametric 3D-CADmodels as starting point for a complete and precise product configuration. The product specific knowledge base is the fundamental information source for the whole configuration process. Its requirements and structure are presented in the next section.
Bul. Inst. Polit. Iaşi, t. LVI (LX), f. 2, 2010 231 Fig. 3 – The knowledge based configuration module, as a main software component of the solution. 4. Knowledge Base Structure Before defining the company specific knowledge base structure for the configuration in early phases of a customized product, the following three concepts need to be defined: data, information and knowledge. The common interpretation is: - Data is unprocessed facts and figures without any added interpretation or analysis. (e.g. "") - Information is data that has been interpreted so that it has meaning for the user. Information = data + semantic + context (e.g.: "The document A was updated.") - Knowledge is a combination of information, experience and insight that may benefit the individual or the organization. Knowledge = information + linking (e.g.: "B was updated after A, so B contains the latest information.") The above mentioned three different concepts are presented in Table 1, according to the description made by B o d e n d o r f in [7]: information is just a formal step to transforming the data into in the knowledge. Table 1 The different concepts of data, information and knowledge according to [7] Data Information Knowledge structured ⇔ mixed isolated ⇔ connected context independent ⇔ context dependent symbols ⇔ cognitive pattern of action
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