Methodologies for Active Knowledge Modeling

Methodologies for Active Knowledge Modeling

John Krogstie (NTNU, Norway) and Frank Lillehagen (Commitment, Norway)
DOI: 10.4018/978-1-60566-278-7.ch006
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Innovative design is the most important competitive factor for global engineering and manufacturing. Critical challenges include cutting lead times for new products, increasing stakeholder involvement, facilitating life-cycle knowledge sharing, service provisioning, and support. Current IT solutions for product lifecycle management fail to meet these challenges because they are built to perform routine information processing, rather than support agile, innovative work. Active Knowledge Modeling (AKM) provides an approach, methodologies, and a platform to remedy this situation. This chapter describes the AKM-approach applied by manufacturing industries and consultants to implement pragmatic and powerful design platforms. A collaborative product design methodology describes how teams should work together in innovative design spaces. How to configure the AKM platform to support such teams with model-configured workplaces for the different roles is described in the visual solutions development methodology. The use of this approach is illustrated through a case study and is compared with related work in the enterprise modeling arena to illustrate the novelty of the approach.
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Akm Approach

The AKM approach has at its core a customer delivery process with seven steps. The first time an enterprise applies AKM technology, we recommend that these steps are closely followed in the sequence indicated. However, second and third time around work processes and tasks from the last five steps can be reiterated and executed in any order necessary to achieve the desired results.

The AKM approach is also about mutual learning, discovering, externalizing and sharing new knowledge with partners and colleagues. Tacit knowledge of the type that actually can be externalized, is most vividly externalized by letting people that contribute to the same end product actually work together, all the time exchanging, capturing and synthesizing their views, methods, properties, parameter trees and values, and validating their solutions. Common views of critical resources and performance parameters provide a sense of holism and are important instruments in achieving consensus in working towards common goals. The seven steps of the approach are shown in Figure 1. The steps are denoted C3S3P and have briefly been described earlier in (Stirna, Persson, & Sandkuhl, 2007). Concept testing, performing a proof-of-concept at the customer site, is not included in the figure. The solutions modeling stage is vital for creating holistic, multiple role-views supporting work across multi-dimensional knowledge spaces, which in turn yield high-quality solution models.

Figure 1.

The steps of the customer delivery process


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