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Research and Application on Intelligent Office System in Bidding

Author: SuHongTang
Tutor: WangMei
School: Taiyuan University of Science and Technology
Course: Management Science and Engineering
Keywords: Intelligent tender Kernel encryption Fuzzy Search Online bid evaluation
CLC: F284
Type: Master's thesis
Year: 2011
Downloads: 44
Quote: 0
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Abstract


With the proliferation of computers and the development of information technology , a wide range of industries one after another into the office intelligent era . However , due to the limitations of industry background , the bidding company has been at the paper office era . Bidding Company in the tender industry , tedious , repetitive documentation work , the encryption of electronic document management , tedious large tender bid evaluation statistical process and other issues still plaguing managers . Through the analysis of the existing tender processes Tendering Co., Ltd. in Shanxi Province , the paper proposes a bidding company generated electronic documents , electronic document management , online intelligence Bid Evaluation , Email and SMS Intelligent sent on functional requirements , which studies and the development of a tender intelligent Office system . The system not only can reduce the cost of human resources of the bidding company , can simplify the opening process , and help to improve staff productivity and economic efficiency of the company . Therefore, the system has an important theoretical and practical values ??. Firstly, designed and implemented a the bid evaluation data documentation smart production . Secondly, the introduction of encryption technology based on the kernel driver , the encryption of the bidding company 's electronic document management . KMP algorithm and the vector space model , applied to embedded documents fuzzy search . Subsequently , online bidding company online bid evaluation function , design and realization of the tender bid evaluation intelligent method . Finally, according to the traditional send Bidding Company \

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CLC: > Economic > Economic planning and management > Infrastructure the economy > Organization and management of infrastructure
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