Browse By Repository:

 
 
 
   

Manufacturing Data Management System

Wong, Kok Hong (2011) Manufacturing Data Management System. Project Report. UTeM, Melaka, Malaysia. (Submitted)

[img] PDF (24 Pages)
Manufacturing_Data_Management_System-24_Pages.pdf - Submitted Version

Download (215kB)
[img] PDF (Full text)
Manufacturing_Data_Management_System-Full_Text.pdf - Submitted Version
Restricted to Registered users only

Download (1MB)

Abstract

Industries are one of a biggest asset for a countries development. The sustainability of an industry relies to the stability of their business in the form of profit margin which they gain within their resources of manufacturing. The management in industries are responsible to reduce all the unforeseen losses and hence their profit margin is always a goal. Understanding the factors which contributes to the losses in industries is only possible when valuable production information in interpreted wisely to the management. Without realization most industries oversea their true capacity and asset which is within their resources but not to be utilized for better yield. But in most industries around the world, manual data collection for such purposes is popular due to cost of investment, accuracy of system etc. Since this data has to be recorded manually, therefore there are high probability the data is recorded is inaccurate and leads towards human made error when documentation is done. Such valuable data which is recorded could lead towards a better understanding of their resources which is none other than their workers and machines. There are many possible ways to analyze the collected data for future use by the management. Therefore, the data is very important and any mistake on the data will miss lead the direction of the management and results in a great lost for the company. Using the manufacturing data management system (MDaS), the management can overcome all the human made error and have an accurate data management system through the production process. In this system, both production time and non production time will be captured for detail analysis using programmable logic controller. The collected data will be stored, analyzed and documented in custom build software without human interventional at all time. Such a system will be a significant tool for the management in decision making process.

Item Type: Final Year Project (Project Report)
Uncontrolled Keywords: Database management
Subjects: Q Science > Q Science (General)
Q Science > QA Mathematics > QA76 Computer software
Divisions: Library > Final Year Project > FKEKK
Depositing User: Nik Syukran Muiz Rashid
Date Deposited: 19 Sep 2012 04:00
Last Modified: 28 May 2015 03:37
URI: http://digitalcollection.utem.edu.my/id/eprint/5758

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year