Performance measurement and determination of optimal base stock level inventory system to improve the customer satisfaction in the Six Sigma environment

A. Kumaravadivel, U. Natarajan and A. Noorul Haq

International Journal of Productivity and Quality Management, 2012, vol. 9, issue 3, 382-403

Abstract: The main objective of this study was to measure the performances after implementation of innovative inventory management system in a stochastic environment and it was carried out in a casting company which currently implementing the Six Sigma concept towards achieving the product quality, on-time delivery and customer satisfaction at the least cost. Maintaining optimal inventory and forecasting future demand are not easy for the decision-maker of any enterprise. However, it is possible to strike a balance between the ideal zero inventory and the real-world avoidance of stock out costs through a minimum inventory system called base stock system. This study has examined the performance indicators and investigations have been undertaken to assess the effectiveness and efficiency of the implementation of the Six Sigma system. This paper proposes a generalised approach for determining the optimal base stock level to forecast stochastic demand and improve the on-time delivery and in turn, improve the efficiency of the process.

Keywords: base stock system; six sigma; JIT; just-in-time; demand forecasting; inventory management; customer satisfaction; process performance; performance indicators; stochastic demand. (search for similar items in EconPapers)
Date: 2012
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.inderscience.com/link.php?id=46368 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ids:ijpqma:v:9:y:2012:i:3:p:382-403

Access Statistics for this article

More articles in International Journal of Productivity and Quality Management from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().