journal of intelligent manufacturing سال:2018 - دوره:29

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journal of intelligent manufacturing
سال:2018 - دوره:29 - شماره:6

An approach to support SMEs in manufacturing knowledge organization - صفحه:1379-1392 An effective discrete invasive weed optimization algorithm for lot-streaming flowshop scheduling problems - صفحه:1337-1349 An uncertain mathematical model to maximize profit of the defective goods supply chain by selecting appropriate suppliers - صفحه:1219-1234 Application of Petri nets to deadlock avoidance in iPad-like manufacturing systems - صفحه:1363-1378 Automatic assembly simulation of product in virtual environment based on interaction feature pair - صفحه:1235-1256 Cyber physical process monitoring systems - صفحه:1317-1328 Data mining based multi-level aggregate service planning for cloud manufacturing - صفحه:1351-1361 Erratum to: Probabilistic Boolean network modeling and model checking as an approach for DFMEA for manufacturing systems - صفحه:1415-1415 Laser power based surface characteristics models for 3-D printing process - صفحه:1191-1202 Modeling and optimization of manufacturing process performance using Modelica graphical representation and process analytics formalism - صفحه:1287-1301 Multi-objective optimization of electronic product goods location assignment in stereoscopic warehouse based on adaptive genetic algorithm - صفحه:1273-1285 Probabilistic Boolean network modeling and model checking as an approach for DFMEA for manufacturing systems - صفحه:1393-1413 Review, analysis and synthesis of prognostic-based decision support methods for condition based maintenance - صفحه:1303-1316 Rule and branch-and-bound algorithm based sequencing of machining features for process planning of complex parts - صفحه:1329-1336 Spur bevel gearbox fault diagnosis using wavelet packet transform and rough set theory - صفحه:1257-1271 Task recognition from joint tracking data in an operational manufacturing cell - صفحه:1203-1217 The prediction of profile deviations from multi process machining of complex geometrical features using combined evolutionary and neural network algorithms with embedded simulation - صفحه:1171-1189