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題名:應用螞蟻演算法於精簡生產系統佈置
作者:洪慈霙
作者(外文):Tzu-ying Hung
校院名稱:南華大學
系所名稱:企業管理系管理科學碩博士班
指導教授:藍俊雄
學位類別:博士
出版日期:2013
主題關鍵詞:碎形維度螞蟻演算法SPS 模型Simplified Production System (SPS) ModelFractal DimensionACO Algorithms
原始連結:連回原系統網址new window
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  本研究構建一模形稱為為精簡生產系統模型(Simplified Production System Model,簡稱SPS 模型),是一個二階段的解決程序。SPS 模型不單單只考慮在給定的廠房空間裡二維多目標生產線的佈置,達到最小總物料運輸流量,同時還要讓生產線佈置在廠房空間裡最精簡。首先運用螞蟻演算法求出最小總物料運輸流量的生產線規劃輪廓,然後在給定的廠房空間裡移動,以最小碎形維度為依據,求出最精簡佈置。因為最精簡佈置可使員工舒適,進而提升員工滿意度,最後導致更好的企業績效。簡單來說,SPS 模型是運用電腦運算來建構此精簡生產系統模型,因此具重複使用的特性,SPS 模型為一提供極有價值之建議的決策工具,在條件已知的情況下可以提早做出規劃,因此本研究所提出之SPS 模型相當具有建設性。
  This research proposes a mathematical model called Simplified Production System (SPS) model and a two-staged solving procedure. SPS model not only considers the two-dimensional layout of a multiple production-line system under the constrained factory space to achieve the minimal total material transportation flow but also selects a specific site to deploy the production system for achieving the least complexity. ACO algorithms is firstly applied to arrange a minimal total material transportation flow of a production system. Then place this arranged display in a limited factory space by minimum fractal dimension for a simplified factory layout. Because a simplified factory layout leads to employee comfortable, it could transform to catch the employee satisfaction. Employee satisfaction will finally switch to become the better performance. In summary, this research applies computer programs to solve the SPS model, and thus it owns a repeated characteristic. Actually, this research can be regarded as a valuable decision support tool because it can easily duplicate to solve other cases by changing its input parameters only.
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