A strategic multiple-objective approach for customization of communication network technologies

An efficient design of communication network configuration and characteristics would help a service provider improve costing. Design has a very high influence on cost since operational costs are minimal when comparing a specific period only. Efficient communication design not only influences costs b...

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Bibliographic Details
Main Authors: Sio, Dhesirey Beryl Ko, Suarez, Miguel Anton R., Tirona, Emilie D.
Format: text
Language:English
Published: Animo Repository 2008
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Online Access:https://animorepository.dlsu.edu.ph/etd_bachelors/9240
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Institution: De La Salle University
Language: English
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Summary:An efficient design of communication network configuration and characteristics would help a service provider improve costing. Design has a very high influence on cost since operational costs are minimal when comparing a specific period only. Efficient communication design not only influences costs but also customers as well and this would improve service quality where in this study is represented by served demand. This study aims to develop a multiple-objective mathematical model that designs the configuration of communication network systems by determining the characteristics specifications of the network technology as driven by peak demand or usage in a multi-period horizon by applying the concept of location set covering to guarantee optimal performance of the network. These characteristics would include the amount of data transferred and the signal range. This way, users are not limited to the existing technology and they are able to determine the key technology requirements to fit their needs and customize the technology that they will be acquiring. It satisfies the conflicting goal of minimizing the cost of putting up the system against the key characteristics of technology which are transfer capacity and signal range. The model was validated using General Algebraic Modeling Systems (GAMS). With the help of Design Experiments (DOE), parameters that significantly affect the system response were determined. The analysis of the significant parameters and parameter interactions were evaluated using Response Surface Methodology (RSM). From the results, it is not always the case that increasing unit cost would increase total costs since there will be instances where there is a trade-off between costs.