Design of fuzzy Simulation in fuzzy manufacturing Environment: Case study

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.

کلیدواژه ها:

Intellingent Simulation ، Manufacturing System ، Confidence Interval ، Fuzzy Parameters ، Fuzzy Simulation