• español
    • English
    • Deutsch
  • English 
    • español
    • English
    • Deutsch
  • Login
View Item 
  •   PRCR Home
  • Polytechnic University of Puerto Rico
  • Design Project Articles Master Degree
  • Manufacturing Engineering
  • View Item
  •   PRCR Home
  • Polytechnic University of Puerto Rico
  • Design Project Articles Master Degree
  • Manufacturing Engineering
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Database Update Automation for a Service Company Applying DMAIC

Thumbnail
View/Open
SP-12_Articulo Final_Francis Cortés.pdf (468.1Kb)
Date
2012
Author
Cortés Pujols, Francis
Metadata
Show full item record
Abstract
Abstract – Working in a service oriented engineering organization, delivery, quality and cost reduction, are very important for a competitive and successful environment, managing data and present reports to their clients needs to be precise, accurate, and aware of the importance of the delivery date. Because of these reasons manual data management must be reduced using software programming to manage the data. The objective of this project was to reduce the manual data management from 100% to 75%. DMAIC methodology was used to identify possible causes and areas of improvement in the process. The major causes for complaints are the late delivery, missing information, and wrong data used. The standard works and workflow were updated during the Control phase of the DMAIC and a checklist was created to verify the data accuracy. The manual process was automated to a 95% and the lead time reduced in 80%. Key Terms – Customer Satisfaction, Database Automation, DMAIC, Process Improvement.
URI
http://hdl.handle.net/20.500.12475/430
Collections
  • Manufacturing Engineering

PRC Repository copyright © 2022  COBIMET, Inc.
Contact Us
Theme by 
Atmire NV
 

 

Browse

All of PRCRCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

My Account

LoginRegister

Statistics

View Usage Statistics

PRC Repository copyright © 2022  COBIMET, Inc.
Contact Us
Theme by 
Atmire NV