The obstacle for idea generation in fuzzy front end （FFE） is difficult to apply knowledge in different fields for designers. Theory of inventive problem solving TRIZ and computer-aided innovation systems （CAIs） wh...The obstacle for idea generation in fuzzy front end （FFE） is difficult to apply knowledge in different fields for designers. Theory of inventive problem solving TRIZ and computer-aided innovation systems （CAIs） which are TRIZ-base software systems with a knowledge base provide a framework for knowledge application in different fields. The major methods in TRIZ are selected, which have four types. The problems to be solved for each method are summarized and mapping from the problems to the methods is given. Systematic method with eight paths to integrate the methods and problems is formed. A case study shows the idea generation in FFE using the integrated method step by step.展开更多
Although previous studies on Korean manufacturing firms have empirically analyzed the causal relationship between activities during the FFE(Fuzzy Front End)and success of NPD(New Product Development)of Korean manufact...Although previous studies on Korean manufacturing firms have empirically analyzed the causal relationship between activities during the FFE(Fuzzy Front End)and success of NPD(New Product Development)of Korean manufacturing firms,no study has concretely focused on Korean ICT(Information and Communications Technology)firms and their FFE activities.The main aim of this study is to identify the activities of these firms during their FFE and provide managerial insights into the other ICT firms.The authors conducted a survey(106 valid responses)that their FFE activities on new product development project managers in Korean ICT firms.The results showed that even though new product development managers of Korean ICT firms did not search for ideas systemically,they communicated with those departments/divisions that had frequent interaction with customers for idea assessment,with the active involvement of middle-or higher-level managers.They thoroughly established initial plans in the pre-development stages and seriously analyzed competitors’products and direct and indirect customer interactions in their market survey activities.展开更多
Artificial intelligence techniques have been used to predict basic oxygen furnace(BOF) end-points. However,the main challenge is to effectively reduce the input nodes as too many input nodes in neural network increase...Artificial intelligence techniques have been used to predict basic oxygen furnace(BOF) end-points. However,the main challenge is to effectively reduce the input nodes as too many input nodes in neural network increase complexity,decrease accuracy and slow down the training speed of the network.Simply picking-up variables as input usually influence validity of model.It is quite necessary to develop an effective method to reduce the number of input nodes whereby to simplify the network and improve model performance.In this study,a variable-filtrating technique combining both metallurgical mechanism model and partial least-squares(PLS ) regression method has been proposed by taking the advantages of both of them,i.e.qualitive and quantative relationships between variables respectively.Accordingly,a fuzzy-reasoning neural network(FNN) prediction model for basic oxygen furnace(BOF) end-point carbon content based on this technique has been developed.The prediction results showed that this model can effectively improve the hit rate of end-point carbon content and increase network training speed.The successful hit rate of the model can reach up to 94.12%with about 0.02% error range.展开更多
This study shows the impact of fuzzy front end （FFE） phase during innovation process on new product development （NPD） project success in two East Asian countries--Korea and Japan was explored via employing compara...This study shows the impact of fuzzy front end （FFE） phase during innovation process on new product development （NPD） project success in two East Asian countries--Korea and Japan was explored via employing comparative study. Authors decided to consider two East Asian countries＇ successful periods as comparison samples for the study of this issue. The 1980s are considered to be ＂golden age＂ of Japanese manufacturing firms when they were extremely successful on global market. Korean firms are enjoying competitive advantage in the late 2000s and the beginning of the 2010s. A conceptual model was developed based on previous research. The model was tested using data from 293 Korean manufacturing firms in the late 2000s and from 540 Japanese manufacturing firms in the late 1980s using structural equation modeling （SEM） technique. In both countries, the effect of intensity of planning on efficiency, prior to the development, was high. Moreover, effect of market uncertainties on effectiveness was significant. Therefore, effective initial planning and good analysis of market prior to the development have positive impacts on NPD project success. In the late 80s, in the period of stability of the economy in the world, the Japanese finns were successful concentrating more on FFE activities, such as market and technological research and initial planning. However, in the 2000s when the world economy started to change so fast and the demands for the goods change so fast, the Korean firms became more successful, thanks to flexibility in the system of NPD project strategies where system was not fixed to the initial plans but where the changes within the project execution phase were allowed. Thus Korean and Japanese firms had different strategies in NPD process in the two different periods. Japanese firms were concentrated more on FFE activities and tended to keep initial plans during development process, while the Korean firms were more flexible in project execution phase allowing dramatic changes to the initial plans.展开更多
基金National Natural Science Foundation of China (No.50675059)National Hi-tech Research and Development Program of China (863 Program,No.2006AA04Z109)
文摘The obstacle for idea generation in fuzzy front end （FFE） is difficult to apply knowledge in different fields for designers. Theory of inventive problem solving TRIZ and computer-aided innovation systems （CAIs） which are TRIZ-base software systems with a knowledge base provide a framework for knowledge application in different fields. The major methods in TRIZ are selected, which have four types. The problems to be solved for each method are summarized and mapping from the problems to the methods is given. Systematic method with eight paths to integrate the methods and problems is formed. A case study shows the idea generation in FFE using the integrated method step by step.
文摘Although previous studies on Korean manufacturing firms have empirically analyzed the causal relationship between activities during the FFE(Fuzzy Front End)and success of NPD(New Product Development)of Korean manufacturing firms,no study has concretely focused on Korean ICT(Information and Communications Technology)firms and their FFE activities.The main aim of this study is to identify the activities of these firms during their FFE and provide managerial insights into the other ICT firms.The authors conducted a survey(106 valid responses)that their FFE activities on new product development project managers in Korean ICT firms.The results showed that even though new product development managers of Korean ICT firms did not search for ideas systemically,they communicated with those departments/divisions that had frequent interaction with customers for idea assessment,with the active involvement of middle-or higher-level managers.They thoroughly established initial plans in the pre-development stages and seriously analyzed competitors’products and direct and indirect customer interactions in their market survey activities.
文摘Artificial intelligence techniques have been used to predict basic oxygen furnace(BOF) end-points. However,the main challenge is to effectively reduce the input nodes as too many input nodes in neural network increase complexity,decrease accuracy and slow down the training speed of the network.Simply picking-up variables as input usually influence validity of model.It is quite necessary to develop an effective method to reduce the number of input nodes whereby to simplify the network and improve model performance.In this study,a variable-filtrating technique combining both metallurgical mechanism model and partial least-squares(PLS ) regression method has been proposed by taking the advantages of both of them,i.e.qualitive and quantative relationships between variables respectively.Accordingly,a fuzzy-reasoning neural network(FNN) prediction model for basic oxygen furnace(BOF) end-point carbon content based on this technique has been developed.The prediction results showed that this model can effectively improve the hit rate of end-point carbon content and increase network training speed.The successful hit rate of the model can reach up to 94.12%with about 0.02% error range.
文摘This study shows the impact of fuzzy front end （FFE） phase during innovation process on new product development （NPD） project success in two East Asian countries--Korea and Japan was explored via employing comparative study. Authors decided to consider two East Asian countries＇ successful periods as comparison samples for the study of this issue. The 1980s are considered to be ＂golden age＂ of Japanese manufacturing firms when they were extremely successful on global market. Korean firms are enjoying competitive advantage in the late 2000s and the beginning of the 2010s. A conceptual model was developed based on previous research. The model was tested using data from 293 Korean manufacturing firms in the late 2000s and from 540 Japanese manufacturing firms in the late 1980s using structural equation modeling （SEM） technique. In both countries, the effect of intensity of planning on efficiency, prior to the development, was high. Moreover, effect of market uncertainties on effectiveness was significant. Therefore, effective initial planning and good analysis of market prior to the development have positive impacts on NPD project success. In the late 80s, in the period of stability of the economy in the world, the Japanese finns were successful concentrating more on FFE activities, such as market and technological research and initial planning. However, in the 2000s when the world economy started to change so fast and the demands for the goods change so fast, the Korean firms became more successful, thanks to flexibility in the system of NPD project strategies where system was not fixed to the initial plans but where the changes within the project execution phase were allowed. Thus Korean and Japanese firms had different strategies in NPD process in the two different periods. Japanese firms were concentrated more on FFE activities and tended to keep initial plans during development process, while the Korean firms were more flexible in project execution phase allowing dramatic changes to the initial plans.
