Welcome To UTPedia

We would like to introduce you, the new knowledge repository product called UTPedia. The UTP Electronic and Digital Intellectual Asset. It stores digitized version of thesis, dissertation, final year project reports and past year examination questions.

Browse content of UTPedia using Year, Subject, Department and Author and Search for required document using Searching facilities included in UTPedia. UTPedia with full text are accessible for all registered users, whereas only the physical information and metadata can be retrieved by public users. UTPedia collaborating and connecting peoples with university’s intellectual works from anywhere.

Disclaimer - Universiti Teknologi PETRONAS shall not be liable for any loss or damage caused by the usage of any information obtained from this web site.Best viewed using Mozilla Firefox 3 or IE 7 with resolution 1024 x 768.

VENDOR RATE SELECTION SYSTEM APPLIED WITH DATA MINING

Solatin, Mimie Suzana (2011) VENDOR RATE SELECTION SYSTEM APPLIED WITH DATA MINING. Universiti Teknologi Petronas. (Unpublished)

[img] PDF
Download (1511Kb)

Abstract

In business world, making a good and correct decision is essential but for a person alone to make the decision, the result will be incorrect as human being will include their emotion while making the decision. In order to fix this problem, a business system that fully utilized their previous business's data and pattern should be developed. The scope of this report is to give an overview about how this system being developed and worked provided with some related research and discussion. In this project, it will use data mining technique in order to fmd the most suitable logistics vendor to be used in a company. In order to get the pattern, there are several factors that will be considered for examples the rate given, destination, services provided and etc. The main objective of this project is to analyze past vendor's data set from a company by using data mining technique, thus, it will help the user to make a better decision. By using the technique, the set of data will be group into vendor's company classes and the most frequent vendor that has been used before will be selected and the system will prompt the user. The methodology used in this project is Extreme Programming (XP) methodology because there are many advantages such as this methodology can apply to changes. This project will help a collaboration company to improve their decision making and business performance.

Item Type: Final Year Project
Academic Subject : Academic Department - Information Communication Technology
Subject: T Technology > T Technology (General)
Divisions: Sciences and Information Technology > Computer and Information Sciences
Depositing User: Users 2053 not found.
Date Deposited: 13 Sep 2013 16:21
Last Modified: 25 Jan 2017 09:42
URI: http://utpedia.utp.edu.my/id/eprint/6725

Actions (login required)

View Item View Item

Document Downloads

More statistics for this item...