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The 1990s are witnessing the rapid growth of client I server (CIS) computing, but for an organization to benefit from a CIS model, it should ensure that the processing architecture matches with its information processing requirements.
Organizations to benefit from advantages of CIS processing architectures, they should determine their information processing requirements and then select one of the CIS processing architectures, which matches with their requirements.
To define a solution for CIS processing architecture, This study utilizes Multiple Attribute Decision Making (MADM) techniques. This is a case study. We have carried out our study in production planning & control system of X-Company.
According to Gartner Group model, we considered five different types of CIS processing architectures, subsequently ranking them based on five critical criteria, which are derived from literature, in order to determine strong and weak points of each CIS processing architecture.
To select an appropriate CIS processing Architecture, we analysed and determined the information requirements of all organizational levels, then asked the end users, about preferences by questionnaires.
We combined all obtained data and computed them based on fuzzy logic, and finally chose one of them by MADM techniques.
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