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Improving Supply Chain Delivery Performance Using Lean Six Sigma

Improving Supply Chain Delivery Performance Using Lean Six Sigma

Alfred L. Guiffrida, Kelly O. Weeks, Lihua Chen
Copyright: © 2017 |Pages: 23
ISBN13: 9781522518372|ISBN10: 1522518371|EISBN13: 9781522518389
DOI: 10.4018/978-1-5225-1837-2.ch042
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MLA

Guiffrida, Alfred L., et al. "Improving Supply Chain Delivery Performance Using Lean Six Sigma." Decision Management: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, IGI Global, 2017, pp. 958-980. https://doi.org/10.4018/978-1-5225-1837-2.ch042

APA

Guiffrida, A. L., Weeks, K. O., & Chen, L. (2017). Improving Supply Chain Delivery Performance Using Lean Six Sigma. In I. Management Association (Ed.), Decision Management: Concepts, Methodologies, Tools, and Applications (pp. 958-980). IGI Global. https://doi.org/10.4018/978-1-5225-1837-2.ch042

Chicago

Guiffrida, Alfred L., Kelly O. Weeks, and Lihua Chen. "Improving Supply Chain Delivery Performance Using Lean Six Sigma." In Decision Management: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, 958-980. Hershey, PA: IGI Global, 2017. https://doi.org/10.4018/978-1-5225-1837-2.ch042

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Abstract

Models for evaluating and improving delivery performance play an important role in the management of supply chains. A review of supply chain delivery models that use Six Sigma methodologies indicate that the models are limited to only make-to-order supply chains where improvement in delivery performance occurs at a fixed (static) point in time. In this chapter, the authors present a generalized delivery performance model that overcomes these limitations. The model presented here can be used to measure delivery performance in both make-to-order and make-to-stock supply chains and supports improvement in delivery performance over a planned time horizon with definable milestones for attaining targeted levels of improvement. Numerical illustrations of the model are presented.

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