A Study of Short-term Decision Models for Managing Nursery School.

碩士 === 輔仁大學 === 資訊管理學系 === 99 === Along with the change of family structure, small families currently constitute the absolute majority of metropolis. In order to raise the standard of living, the ratio of family earnings from both parents working outside of the home significantly increases. Nurs...

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Bibliographic Details
Main Authors: Cheng, Tian-Kai, 鄭天凱
Other Authors: Lee, Jimmy
Format: Others
Language:zh-TW
Published: 2011
Online Access:http://ndltd.ncl.edu.tw/handle/72625419375746254439
Description
Summary:碩士 === 輔仁大學 === 資訊管理學系 === 99 === Along with the change of family structure, small families currently constitute the absolute majority of metropolis. In order to raise the standard of living, the ratio of family earnings from both parents working outside of the home significantly increases. Nursery schools hence become the main organization of family care in metropolis. The business model of nursery schools is the main theme of this study. First, analytic hierarchy process (AHP) is used to analyze the classification of teaching faculty, curriculum, space, equipment, etc. and then short-term decision models for managing nursery school is built by integrating scales of performance evaluation, cost and benefit analysis, etc. Moreover, the evolutionary prototyping method is applied for developing a web-based system in this study. After several curricula combination, faculty assignment, and scenarios shown on its platform, the system can more flexibly and adaptably obtain the optimal management plan for enhancing the competitiveness of each nursery school, as well as its efficiency and effectiveness. For obtaining more objective and overall standards of management scoring, this study collected actual data from each specific survey and simulated several scenarios to generate various data and incorporate these data in the mechanism of management performance of nursery schools. Finally, several results of managerial analysis can present the references for decision making on the platform and successive research of related decision makers.