Productivity Analysis in Processed Natural Stones Production Process by Neural Networks and ANFIS Methods

27755

In this study, productivity of processed natural stones and production estimations such productionmanagement, storing, planning, inventory management were aimed in whole manufacturing processincludes natural stone from quarry to sized raw plate in a natural stone productive facilities. Therefore a technically well designed and relational database developed to reflect the character of production of a company. A subsystem was designed to company managers for assisting in terms of production planning. Besides, two different estimation model such artificial neural networks and adaptive neurofuzzy inference system were developed and productivity estimation of raw natural stone blocks and production time estimation of the whole process were done by using this system. After modeling and data input operations were completed, the productivity estimation results were analyzed, a sufficient success was obtained in articial neural network model with maximum error rate 4.9%

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Manufacturing Planning , Natural Stone , Matlab , Artificial Neural Networks , ANFIS

Afyon Kocatepe University Journal Of Science an‎d Engineering

185

Afyon Kocatepe University Journal Of Science an‎d Engineering