An expert system for machining data selection
Computers and Industrial Engineering
Adaptation in natural and artificial systems
Adaptation in natural and artificial systems
A solution to the facility layout problem using simulated annealing
Computers in Industry - Special issue: ASI'96: life cycle approaches to production systems: management, control and supervision
Computer Processing of Line-Drawing Images
ACM Computing Surveys (CSUR)
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Computers and Intractability: A Guide to the Theory of NP-Completeness
Computers and Intractability: A Guide to the Theory of NP-Completeness
Parameter setting for clonal selection algorithm in facility layout problems
ICCSA'07 Proceedings of the 2007 international conference on Computational science and its applications - Volume Part I
Using pareto-optimality for solving multi-objective unequal area facility layout problem
Proceedings of the 13th annual conference on Genetic and evolutionary computation
A new approach for workshop design
Journal of Intelligent Manufacturing
A genetic algorithm with the heuristic procedure to solve the multi-line layout problem
Computers and Industrial Engineering
Journal of Intelligent Manufacturing
Expert Systems with Applications: An International Journal
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The majority of the issued facilities layout problems (FLPs) minimize the material handling cost and ignore other factors, such as area utilization, department shape and site shape size. These factors, however, might influence greatly the objective function and should give consideration. The research range of this paper is focus on the unequal areas department facilities layout problem, and implement analysis of variance (ANOVA) of statistics to find out the best site size of layout by genetic algorithm. The proposed module takes the minimum total layout cost (TLC) into account. TLC is an objective function combining material flow factor cost (MFFC), shape ratio factor (SRF) and area utilization factor (AUF). In addition, a rule-based of expert system is implemented to create space-filling curve for connecting each unequal area department to be continuously placed without disjoint (partition). In this manner, there is no gap between each unequal area department. The experimental results show that the proposed approach is more feasible in dealing with the facilities layout problems in the real world.