This paper presents a systematic approach to estimate the value of commonality in products that involve multiple stage assemblies. In particular, the inventory savings are quantified with a mathematical model. The pur...This paper presents a systematic approach to estimate the value of commonality in products that involve multiple stage assemblies. In particular, the inventory savings are quantified with a mathematical model. The purpose is to assist product deisgn teams to make rational decisions in assigning unique parts or pursuing component standardization. In order to enhance the usability of the model, approximations are made to simplify the model and calculations.展开更多
The aim of this work is to describe and compare three exploratory chemometrical tools,principal components analysis,independent components analysis and common components analysis,the last one being a modification of t...The aim of this work is to describe and compare three exploratory chemometrical tools,principal components analysis,independent components analysis and common components analysis,the last one being a modification of the multi-block statistical method known as common components and specific weights analysis.The three methods were applied to a set of data to show the differences and similarities of the results obtained,highlighting their complementarity.展开更多
文摘This paper presents a systematic approach to estimate the value of commonality in products that involve multiple stage assemblies. In particular, the inventory savings are quantified with a mathematical model. The purpose is to assist product deisgn teams to make rational decisions in assigning unique parts or pursuing component standardization. In order to enhance the usability of the model, approximations are made to simplify the model and calculations.
文摘The aim of this work is to describe and compare three exploratory chemometrical tools,principal components analysis,independent components analysis and common components analysis,the last one being a modification of the multi-block statistical method known as common components and specific weights analysis.The three methods were applied to a set of data to show the differences and similarities of the results obtained,highlighting their complementarity.
