A troubleshooting process planning using knowledge base and distributed database approach

Automated process planning and cost estimation under material quality uncertainty

“…Tremendous effort has been put into developing an automated process planner as documented in a number of past studies. Those works evolved around feature recognition [12][13][14][15][16][17][18], knowledge representation [19][20][21][22][23][24][25] and inference engine [26,27], and integration of process planning, and upstream or downstream processes [28,29]. Some researchers applied different methods/technologies such as OPPS-PRI 2.0 system [30], genetic algorithms (GA) [31][32][33][34][35][36], imperialist competitive algorithm [37], energy-efficient oriented method [38], neural network-based system [39][40][41], fuzzy set theory/fuzzy logic method [39,42,43], agent-based methodology [44,45], Internet-based technology [46,47], functional blocks [48,49], Petri net model [50] and STEP-compliant method [51][52][53][54], just to name a few, f...…”