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In operations management and industrial engineering, production flow analysis refers to methods which share the following characteristics: 1.Classification of machines 2.Technological cycles information control 3.Generating a binary product-machines matrix (1 if a given product requires processing in a given machine, 0 otherwise) Methods differ on how they group together machines with products. These play an important role in designing manufacturing cells. ==Rank Order Clustering== Given a binary product-machines n-by-m matrix , Rank Order Clustering〔King, J. R., Machine-component grouping in production flow analysis: an approach using a rank order clustering algorithm, International Journal of Production Research, Vol.18 1980 http://www.tandfonline.com/doi/abs/10.1080/00207548008919662#.UeAI5eGLe1E〕 is an algorithm characterized by the following steps: 1.For each row i compute the number 2.Order rows according to descending numbers previously computed 3.For each column p compute the number 4.Order columns according to descending numbers previously computed 5.If on steps 2 and 4 no reordering happened go to step 6, otherwise go to step 1 6.Stop 抄文引用元・出典: フリー百科事典『 ウィキペディア（Wikipedia）』 ■ウィキペディアで「Production flow analysis」の詳細全文を読む スポンサード リンク
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