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Study On Supply Chain Information System Flexibility

Posted on:2009-05-12Degree:DoctorType:Dissertation
Country:ChinaCandidate:G M LiFull Text:PDF
GTID:1118360272961209Subject:Information management and information systems
Abstract/Summary:PDF Full Text Request
Since 20th Century 1990s, the supply chain flexibility problem has been a important field that supply chain management studied. The traditional supply chain flexibility study is confined to the supply chain function flexibility , such as purchase flexibility, product flexibility, supply flexibility, requirement flexibility, and so on. With the global economy integration course being accelerated , IT technology, especially Internet technology is developed in a high speed. supply chain information system is the most important tool and technology to manage information in supply chain inside and outside. Now SCIS(Supply chain information system) flexibility has been involved in supply chain flexibility gradually, because, SCIS flexibility is important to promote the supply chain cooperator and to reinforce the ability to share and delivery supply chain information between collaborate member in Supply chain.In this paper , qualities analysis ,theory study, investigative Statistic method were digested, supply chain management theory, uncertainty information management ,flexibility server deploy, supply chain knowledge innovation theory were comprehensive used. SCIS was systematically studied according to the logic process of analyzing flexibility drive factor and flexibility requirement. The purpose of this paper is present technique support and decision reference for SCIS management. The main part of this paper is as follows .(1) SCIS flexibility was developed at the way of analyzing supply flexibility. It was presented that SCIS is the main part of supply flexibility study. Study on SCIS includes uncertainty information management, flexibility deploy SCIS according to requirement, initiative effect of supply chain system to outside environment and so on. In this part, study precondition was described in detail. It was presented that this paper would be developed at the process of buttery flexibility, adaptve flexibility ,and innovative flexibility according to "flexibility three phase theory " which presented by slacks . (2)The purpose of this paper was confirmed according to analyzing the limitation in current study and detailed study on correlative specialty literature of supply chain flexibility , SCIS flexibility, uncertainty information management. The Limitation of current study is lacking technique characteristic study on SCIS . Uncertainty information management, system flexibility deploy, anti effect to environment from system were presented as the primary question in this paper.(3) Correlative flexibility characteristic of SCIS was analyzed . included the environment of SCIS, system complexity, system business process, data model and so on. And the study object was presented.(4)In this part, Buttery flexibility is the primary part. Driver factory and flexibility requirement were analyzed in detail. It was presented that the primary question of buttery flexibility is dealing with uncertainty information in supply chain. There were two type of uncertainty information were presented. One is produced in transmit process, the other is produced for the case of supply chain member . To the first one, we can estimate correct value with arithmetic of fuzzy estimate value. To the second one, information synergy model was advanced.(5) In this part, adaptive flexibility of SCIS was advanced. It was believed that the central behave of adaptive flexibility of SCIS is deploying system agilely according to the requirement. SOA SCIS was presented in this part. At the first, server deploy was analyzed, and the object oriented measure of constructing server, server enrollment, server enrollment configuration , method of verify atomic action consistency between business domain and server with Boolean accessible matrix were advanced. And a two class server distribution method of server pool was presented and the server pool was constructed by fuzzy cluster method. At the last, Meta data based on ontology was advanced to solve information descriptions and extensible semantic comprehensive.(6) In this part, SCIS innovation flexibility was made as initiative effect to environment. The central part is analyzing central factory of supply chain innovation. It was presented that the central part of innovation is supply chain knowledge innovation, central measure of innovation is supply chain member collaboration knowledge innovation. And the support of SCIS to supply chain innovation was advanced.(7)A elementary SCIS measurement index system was developed .firstly, then , the modified measurement index system was presented on the base of analyzing data which was required from . AHP-Fuzzy was used to make every share of measurement index for the purpose of measuring SCIS flexibility.
Keywords/Search Tags:SCIS, Flexibility, Uncertainty, SOA, Ontology, Knowledge Innovation
PDF Full Text Request
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