Development of an Effective Productivity and Quality Analytical Software

 




 

Oh, Bee Kuan (2011) Development of an Effective Productivity and Quality Analytical Software. Final Year Project (Other), Tunku Abdul Rahman University College.

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Abstract

In this new and intelligent world, with the several of competitive enhancement has inspired me for having the thinking to develop this analytical software. The objectives of my project are to come out with the user-friendly business tool where improves the effectiveness of productivity and ensure a continual improvement for management that would allow for best justification on performance of both quality and affordable applications. To develop it, a research methodology has been done for the recruitment of the project. The author has selected Visual Basic for Application as language writing for the program. In contrary with, author had ensured that Effective Productivity Analytical software with standard time consideration recruitments are the important theories to be applied into our software. Besides that, alert form is the important diagram so to get the resolutions. In addition, this programming tool also shows the step-by-step teaching will be conducted in a user-friendly and easy way. For the sake of making the teaching interesting, an animated wizard will move around and speak to explain throughout the tutorials. As a result, by using an effective approach to analyzing and improving processes, most company can make significant improvements to their business through a constant evaluation of how they do business and how they can improve. It also as a framework for improvement can help the companies to position themselves to proactively face future challenges. Hence, this system is definitely concluded better and practical.

Item Type: Final Year Project
Subjects: Social Sciences > Industries. Land use. Labor > Management. Industrial Management
Technology > Manufactures
Faculties: School of Technology > Advance Diploma in Technology (Mechanical and Manufacturing Engineering)
Depositing User: Library Staff
Date Deposited: 25 Sep 2019 02:08
Last Modified: 14 Apr 2022 08:28
URI: https://eprints.tarc.edu.my/id/eprint/8991