Design of fuzzy Simulation in fuzzy manufacturing Environment: Case study
Publish place: 6th International Industrial Engineering Conference
Publish Year: 1387
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:
IIEC06_153
تاریخ نمایه سازی: 8 مهر 1387
Abstract:
This paper presents an approach by considering fuzzy parameters in similation model to obtain fuzzy throughputs in manufacturing systems. The basic subject of simulation is the probabilistic approach to describing real world uncertainty. However, in many cases we do not have information that would be precise enough to build the corresponding probabilistic model or there are some human factors that prevent doing so. In such conditions the statistical and mathematical tools of fuzzy set theory may be successfully used. This paper applies t-test for validating the results obtained from conventional simulation in comparison with the true production rate of manufacturing system. Results show that production rates calculated by fuzzy simulation are closer to true production rates than production rates calculated by conventional simulation. Then, we use fuzzy simulation to improve the performance of manufacturing system by considering production constraints , system limitations and desired targets. the design of fuzzy simulation is discussed for an actual and large multi product assembly shop.
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Authors
A Azadeh
Department of Industrial Engineering and Center of Excellence for Intellingent Experimental Mechanics, Faculty of Engineering, University of tehran Iran
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