Intelligent simulation for flexible manufacturing systems: an integrated approach
Computers and Industrial Engineering
Simulation with visual SLAM and AweSim
Simulation with visual SLAM and AweSim
Simulation Modeling and Analysis
Simulation Modeling and Analysis
Intelligent design and planning of manual assembly workstations: a neuro-fuzzy approach
Computers and Industrial Engineering
Computers and Industrial Engineering
Multiple-attribute decision making methods for plant layout design problem
Robotics and Computer-Integrated Manufacturing
Dealing with heterogeneous information in engineering evaluation processes
Information Sciences: an International Journal
Material Requirement Planning with fuzzy constraints and fuzzy coefficients
Fuzzy Sets and Systems
Real-time task scheduling with fuzzy uncertainty in processing times and deadlines
Applied Soft Computing
Computers and Industrial Engineering - Special issue: Selected papers from the 31st international conference on computers & industrial engineering
A study on facility location---allocation problem in mixed environment of randomness and fuzziness
Journal of Intelligent Manufacturing
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This paper presents an integrated fuzzy simulation approach for performance improvement of assembly shops with ambiguous and uncertain parameters. The basic subject of simulation is the probabilistic approach to describe real world uncertainty. However, in several cases, there is not sufficient information to build the corresponding probabilistic models or there are some human factors that prevent us from doing so. In such conditions the statistical and mathematical tools of fuzzy set theory may be successfully used. The design and superiority of fuzzy simulation is discussed for an actual large complex multi product assembly shop. This paper applies t test for evaluating the fuzzy simulation results versus true production rate of the assembly shop. Results show that production rates calculated by fuzzy simulation are closer to true production rates than that of conventional simulation. Moreover, fuzzy simulation is used to improve the performance of assembly shop by considering production constraints, system limitations and desired targets. This is the first study that uses fuzzy simulation for performance improvement of a multi product assembly shop.