Intelligent design of dynamic and robust layouts in uncertain environment of flexible manufacturing systems
Designing dynamic, robust, and static facility layouts are well-known approaches to cope with the stochastic dynamic facility layout problem (SDFLP). A dynamic layout includes an optimal layout in each period of the planning horizon, whereas a robust layout is a good layout over the entire time plan...
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| Format: | Thesis |
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2012
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| Summary: | Designing dynamic, robust, and static facility layouts are well-known approaches to cope with the stochastic dynamic facility layout problem (SDFLP). A dynamic layout includes an optimal layout in each period of the planning horizon, whereas a robust layout is a good layout over the entire time planning horizon, but not necessarily an optimal layout for a particular time period. Using the static approach each period is solved separately, regardless of other periods data. This dissertation deals with the SDFLP, where the product demands are assumed to be dependent normally distributed random variables with known expected value, variance, and covariance that change from period to period at random. Development of a new quadratic assignment-based mathematical model to design each of the dynamic, robust, static, the most robust, the most stable, and the robust stable machine layouts are the first main objectives of the thesis. Then, each of the dynamic and robust machine layout design models is generalised to a model for concurrent design of dynamic and robust inter and intra-cell layouts. Another major objective of this dissertation is development of a novel hybrid algorithm named AC-CS-SA by using ant colony (AC), clonal selection (CS), simulated annealing (SA), and robust layout design approaches to solve the SDFLP formulated by each of the aforementioned models. |
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