A Study of a Multi-objective Decision Model for Interactively Customizing Mobile-phone

碩士 === 輔仁大學 === 資訊管理學系 === 95 === Current procedures for applying mobile-phone number mostly are to select several sets of available number from database at random or give a detailed list of available numbers for customer’s selection. These procedures cannot give customized suggestion, since the req...

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Bibliographic Details
Main Authors: Chun Wei Huang, 黃俊瑋
Other Authors: 李俊民
Format: Others
Language:zh-TW
Published: 2007
Online Access:http://ndltd.ncl.edu.tw/handle/78352582531906843658
Description
Summary:碩士 === 輔仁大學 === 資訊管理學系 === 95 === Current procedures for applying mobile-phone number mostly are to select several sets of available number from database at random or give a detailed list of available numbers for customer’s selection. These procedures cannot give customized suggestion, since the requirements and preferences of mobile-phone number of each customer, even how to sell popular numbers for increasing the company’s net profit, are not considered in the application. Besides, selecting available numbers from the detailed list need take a long time, such that it will waste a tedious time for trade between customer and employee of retail department. This study first adopts analytic hierarchy process (AHP) for quantifying intrinsic requirements of each customer, interactively guiding the customer to select, or the customer independently selecting, the condition of each constraint, and then computing the weight of each constraint requirement related to each customer. Based on constraints of number selection, budget, other requirements, etc. of each customer, a multi-objective nonlinear programming (MONLP) model is formed and a well-known software Lingo 10.0 is used for selecting several mobile-phone numbers from database for optimizing its objective functions in this study. Further, a web-based prototype system of interactively customizing mobile-phone number selection is developed by using the evolutionary prototyping method, and its suggested solution can immediately provide the references for each customer selecting number. Finally, various simulation data not only provide what-if and managerial analyses, but also the analysis results can be used to explain the management implications or guidelines from the mentioned problems above, such that the marketing strategy of mobile-phone number can become more flexible in future, enhance the satisfaction of the whole customers, and increase the profits of the company.