Works matching IS 09565515 AND DT 2019 AND VI 30 AND IP 3
Results: 33
Predictive analytics methodology for smart qualification testing of electronic components.
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- Journal of Intelligent Manufacturing, 2019, v. 30, n. 3, p. 1497, doi. 10.1007/s10845-018-01462-9
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- Article
A big data analytics based machining optimisation approach.
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- Journal of Intelligent Manufacturing, 2019, v. 30, n. 3, p. 1483, doi. 10.1007/s10845-018-1440-9
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- Article
Prediction of damage parameters of a 3PL company via data mining and neural networks.
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- Journal of Intelligent Manufacturing, 2019, v. 30, n. 3, p. 1437, doi. 10.1007/s10845-017-1337-z
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Enhanced GO methodology to support failure mode, effects and criticality analysis.
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- Journal of Intelligent Manufacturing, 2019, v. 30, n. 3, p. 1451, doi. 10.1007/s10845-017-1336-0
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A novel integrated tool condition monitoring system.
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- Journal of Intelligent Manufacturing, 2019, v. 30, n. 3, p. 1423, doi. 10.1007/s10845-017-1334-2
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Applications of non-monotonic reasoning to automotive product configuration using answer set programming.
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- Journal of Intelligent Manufacturing, 2019, v. 30, n. 3, p. 1407, doi. 10.1007/s10845-017-1333-3
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Leader-follower joint optimization problems in product family design.
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- Journal of Intelligent Manufacturing, 2019, v. 30, n. 3, p. 1387, doi. 10.1007/s10845-017-1332-4
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A knowledge-based product development system in the chemical industry.
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- Journal of Intelligent Manufacturing, 2019, v. 30, n. 3, p. 1371, doi. 10.1007/s10845-017-1331-5
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Integration of resource allocation and task assignment for optimizing the cost and maximum throughput of business processes.
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- Journal of Intelligent Manufacturing, 2019, v. 30, n. 3, p. 1351, doi. 10.1007/s10845-017-1329-z
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An improved backtracking search algorithm for casting heat treatment charge plan problem.
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- Journal of Intelligent Manufacturing, 2019, v. 30, n. 3, p. 1335, doi. 10.1007/s10845-017-1328-0
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- Article
Design of adaptable pin configuration machine bed optimized with genetic approach for sheet metal cutting process.
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- Journal of Intelligent Manufacturing, 2019, v. 30, n. 3, p. 1319, doi. 10.1007/s10845-017-1327-1
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Selection of optimal conditions in the surface grinding process using the quantum based optimisation method.
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- Journal of Intelligent Manufacturing, 2019, v. 30, n. 3, p. 1469, doi. 10.1007/s10845-017-1326-2
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- Article
Deep neural networks based order completion time prediction by using real-time job shop RFID data.
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- Journal of Intelligent Manufacturing, 2019, v. 30, n. 3, p. 1303, doi. 10.1007/s10845-017-1325-3
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- Article
An integration model for generating and selecting product configuration plans.
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- Journal of Intelligent Manufacturing, 2019, v. 30, n. 3, p. 1291, doi. 10.1007/s10845-017-1324-4
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- Article
POLCA system for supply chain management: simulation in the automotive industry.
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- Journal of Intelligent Manufacturing, 2019, v. 30, n. 3, p. 1271, doi. 10.1007/s10845-017-1323-5
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- Article
Prediction of tool-wear in turning of medical grade cobalt chromium molybdenum alloy (ASTM F75) using non-parametric Bayesian models.
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- Journal of Intelligent Manufacturing, 2019, v. 30, n. 3, p. 1259, doi. 10.1007/s10845-017-1317-3
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Multi-objective artificial bee colony algorithm for order oriented simultaneous sequencing and balancing of multi-mixed model assembly line.
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- Journal of Intelligent Manufacturing, 2019, v. 30, n. 3, p. 1195, doi. 10.1007/s10845-017-1316-4
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Detecting cyber-physical attacks in CyberManufacturing systems with machine learning methods.
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- Journal of Intelligent Manufacturing, 2019, v. 30, n. 3, p. 1111, doi. 10.1007/s10845-017-1315-5
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- Article
Manufacturing system maintenance based on dynamic programming model with prognostics information.
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- Journal of Intelligent Manufacturing, 2019, v. 30, n. 3, p. 1155, doi. 10.1007/s10845-017-1314-6
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- Article
Combining SOM and evolutionary computation algorithms for RBF neural network training.
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- Journal of Intelligent Manufacturing, 2019, v. 30, n. 3, p. 1137, doi. 10.1007/s10845-017-1313-7
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Post-prognostics decision making in distributed MEMS-based systems.
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- Journal of Intelligent Manufacturing, 2019, v. 30, n. 3, p. 1125, doi. 10.1007/s10845-017-1312-8
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An improved particle swarm optimization model for solving homogeneous discounted series-parallel redundancy allocation problems.
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- Journal of Intelligent Manufacturing, 2019, v. 30, n. 3, p. 1175, doi. 10.1007/s10845-017-1311-9
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Robust DEA methodology via computer model for conceptual design under uncertainty.
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- Journal of Intelligent Manufacturing, 2019, v. 30, n. 3, p. 1221, doi. 10.1007/s10845-017-1310-x
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Reduced order modelling based control of two wheeled mobile robot.
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- Journal of Intelligent Manufacturing, 2019, v. 30, n. 3, p. 1057, doi. 10.1007/s10845-017-1309-3
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Nonstationary signal analysis and support vector machine based classification for vibration based characterization and monitoring of slit valves in semiconductor manufacturing.
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- Journal of Intelligent Manufacturing, 2019, v. 30, n. 3, p. 1099, doi. 10.1007/s10845-017-1308-4
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A comparative study and measuring performance of manufacturing systems with Mamdani fuzzy inference system.
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- Journal of Intelligent Manufacturing, 2019, v. 30, n. 3, p. 1085, doi. 10.1007/s10845-017-1307-5
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Analysis of influential factors for predicting the shear strength of a V-shaped angle shear connector in composite beams using an adaptive neuro-fuzzy technique.
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- Journal of Intelligent Manufacturing, 2019, v. 30, n. 3, p. 1247, doi. 10.1007/s10845-017-1306-6
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A method for product platform planning based on pruning analysis and attribute matching.
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- Journal of Intelligent Manufacturing, 2019, v. 30, n. 3, p. 1069, doi. 10.1007/s10845-017-1305-7
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Automatic inspection of salt-and-pepper defects in OLED panels using image processing and control chart techniques.
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- Journal of Intelligent Manufacturing, 2019, v. 30, n. 3, p. 1047, doi. 10.1007/s10845-017-1304-8
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Automatic feature constructing from vibration signals for machining state monitoring.
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- Journal of Intelligent Manufacturing, 2019, v. 30, n. 3, p. 995, doi. 10.1007/s10845-017-1302-x
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Dynamic scheduling in RFID-driven discrete manufacturing system by using multi-layer network metrics as heuristic information.
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- Journal of Intelligent Manufacturing, 2019, v. 30, n. 3, p. 979, doi. 10.1007/s10845-017-1301-y
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Multi-agent system approach applied to a manufacturer's supply chain using global objective function and learning concepts.
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- Journal of Intelligent Manufacturing, 2019, v. 30, n. 3, p. 1009, doi. 10.1007/s10845-017-1300-z
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A comparative study of Multi-Objective Algorithms for the Assembly Line Balancing and Equipment Selection Problem under consideration of Product Design Alternatives.
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- Journal of Intelligent Manufacturing, 2019, v. 30, n. 3, p. 1021, doi. 10.1007/s10845-017-1298-2
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- Article