Patent ID: 8332343

Claim:
A computer implemented method for recommending a production process workflow solution, comprising: receiving a plurality of existing case clusters defined using production process related constraints including at least one of manufacturing requirements, logistics, budget, and resources; the production process related constraints that define each existing case cluster of the plurality of case clusters being representative of a production process workflow solution automated by one or more devices; receiving a case data set of an incomplete production process workflow solution; mapping the case data set into one or more vectors in a case constraint space to create a case log vector; mapping the case log vector into a semantic case log vector with reduced dimensionality via a latent semantic index transformation to eliminate excessive data from the case log vector such that only relevant data remains; classifying the semantic case log vector into one of the plurality of existing case clusters whose cluster centroid vector has the largest cosine product with the semantic case log vector; and recommending the production process workflow solution associated with the existing case cluster into which the semantic case log vector is classified; the recommended production process workflow solution defining production process related constraints for automating one or more devices of the incomplete production process workflow solution; wherein said receiving, mapping, classifying and recommending are performed using one or more processors.