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BA: Lean Manufacturing Indicators Applied to HR Applications - An Implementation Study

Authors:
Robson Thanael Poffo
Mehran Misaghi

Keywords: BA; Lean Manufacturing; Indicators; HR Systems

Abstract:
In the last few years, the world witnessed a large number of changes on the way to manage the production on factories. This changes were motivated by a financial crisis. With each passing year the companies feel the need to be faster when making decisions and one way to do this is through indicators (KPIs and KRIs). Remember that the difference between a company that grows its market share and the other companies is how fast they make decisions. Based on the mission, vision and values of the company, this article describes indicators that are used on lean manufacturing and that can be used in human resource management. Furthermore, it describes the best way to design the data warehouse considering the level of granularity and the level of data detail. First we will analyze the lean manufacturing indicators addressed on the academic literature. Then, we will analyze these indicators with the other indicators used by leading research companies in Brazil. After that, we will analyze the mission, vision and values of the company to determine the KRIs and KPIs that we need to monitor. Thereafter, we will design the data warehouse to comport these indicators considering the level of granularity and the level of data to analyze them. Finally, we will apply these indicators and data warehouse in a software development company to see the results. At the end of this project, we would like to get the list of indicators that would be able to manage and analyze the production and performance of the employees in the factory. With these indicators, the factory will be able to manage the team correctly despite the weather of global finance. This approach allows us to determine the indicators that will make a difference on the management of the company analyzing the performance of human resources associated with the performance of the manufacture. These indicators will determine the way to implement BI solutions associated with human resources systems and manufacturing systems successfully.

Pages: 246 to 249

Copyright: Copyright (c) IARIA, 2013

Publication date: January 27, 2013

Published in: conference

ISSN: 2308-4332

ISBN: 978-1-61208-247-9

Location: Seville, Spain

Dates: from January 27, 2013 to February 1, 2013