Description
The complexity of supply chains (SC) has grown rapidly in recent years, resulting in an increased difficulty to evaluate and visualize performance. Consequently, analytical approaches to evaluate SC performance in near real time relative to targets and plans are important to detect and react to deviations in order to prevent major disruptions.
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Contributors
- Liu, Lei (Author)
- Runger, George C. (Thesis advisor)
- Gel, Esma (Committee member)
- Pan, Rong (Committee member)
- Janakiram, Mani (Committee member)
- Arizona State University (Publisher)
Date Created
The date the item was original created (prior to any relationship with the ASU Digital Repositories.)
2015
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Note
- Partial requirement for: Ph.D., Arizona State University, 2015Note typethesis
- Includes bibliographical references (pages 101-106)Note typebibliography
- Field of study: Industrial engineering
Citation and reuse
Statement of Responsibility
by Lei Liu