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This chapter describes a knowledge-based system approach that combines problem-solving methods, workflow and machine learning technologies for dealing with the furniture estimate task. The system integrates product design in a workflow-oriented solution, and is built over a workflow management system that delegates activities execution to a problem-solving layer. An accurate estimation of the manufacturing cost of a custom furniture client order allows competitive prices, better profits adjustment, and increments the client portfolio too. Nevertheless, task scope is even broader. On one hand, it fixes future material and storage capacity requirements. On the other hand, it defines the manufacturing plan and logistic requirements to fulfil the client order in time. However, these objectives cannot be achieved without an adequate product design, which relates client order requirements with a manufacturing and assembly-oriented design.
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