Six Sigma Applied in Inventory Management

Article Preview

Abstract:

Inventory management is a kind of method used by manufacturing or service sector to manage and control various articles and other resources in the whole process of production and operation. This paper, aiming at the contradiction, brings forward the thought of combining Six Sigma Concept with inventory management. Using Six Sigma Tools, the root source of inventory overstock will be revealed and according process can be improved, thus to achieve the goal of inventory optimizing and customer satisfactory elevating. An actual example is demonstrated in the paper to verify the validity of the combination between inventory management and Six Sigma.

You have full access to the following eBook

Info:

Periodical:

Pages:

355-359

Citation:

Online since:

September 2011

Authors:

Export:

Share:

Citation:

[1] Zuhua Jiang, Lifeng Xi, etc. Case Study for Industrial Engineering[M]. Beijing: Tsinghua University Press, pp.219-243, (2005).

Google Scholar

[2] LEE H L, Padmanabhanv, Whangs. The Bullwhip Effect in Supply Chain[J]. Sloan Management Review, Vo1. 38, pp.93-102, (1997).

Google Scholar

[3] Chen F, Drezner Z, Ryan J, etc. Quantifying the bullwhip effect in simple supply chain: The impact of forecasting, lead times, and information [J]. Management Science, Vo1. 46, No. 3, pp.436-443, (2000).

DOI: 10.1287/mnsc.46.3.436.12069

Google Scholar

[4] Peter S. Pande, etc. Six Sigma Management: Steps to excellence [M]. Beijing: Mechanical Industry Press, pp.201-212, (2002).

Google Scholar

[5] Qingli Da, Xin Zhang, Hou-cai Shen. Study on bullwhip effect in supply chain [J]. Journal of Management Sciences, Vo1. 6, No. 3, pp.86-93, (2003).

Google Scholar

[6] Xiaoqun He. Six Sigma and Getting Started Guide [M]. Beijing: China Renmin University Press, pp.4-52, (2003).

Google Scholar

[7] Xiaofen Tang. Six Sigma Core Tutorial (Black Belt Reader)[M]. Beijing: Standards Press of China, pp.307-320, (2002).

Google Scholar

[8] Waters Donald. Inventory Control and Management [M]. Beijing: Mechanical Industry Press, (2005).

Google Scholar