Managing Supply Chain Execution: Monitoring Timeliness and Correctness via Individualized Trace Data

• 成果类型: Article
• 署名作者: Shu, Jun; Barton, Russell
• 署名单位: Pennsylvania Commonwealth System of Higher Education (PCSHE); Pennsylvania State University; Pennsylvania State University - University Park
• 刊物名称: PRODUCTION AND OPERATIONS MANAGEMENT
• ISSN/ISSBN: 1059-1478
• DOI: 10.1111/j.1937-5956.2012.01353.x
• 发表日期: 2012
• 页码: 715-729
• 关键词: supply chain behavior visibility monitoring

摘要

Improvements in information technologies provide new opportunities to control and improve business processes based on real-time performance data. A class of data we call individualized trace data (ITD) identifies the real-time status of individual entities as they move through execution processes, such as an individual product passing through a supply chain or a uniquely identified mortgage application going through an approval process. We develop a mathematical framework which we call the State-Identity-Time (SIT) Framework to represent and manipulate ITD at multiple levels of aggregation for different managerial purposes. Using this framework, we design a pair of generic quality measurestimeliness and correctnessfor the progress of entities through a supply chain. The timeliness and correctness metrics provide behavioral visibility that can help managers to grasp the dynamics of supply chain behavior that is distinct from asset visibility such as inventory. We develop special quality control methods using this framework to address the issue of overreaction that is common among managers faced with a large volume of fast-changing data. The SIT structure and its associated methods inform managers on if, when, and where to react. We illustrate our approach using simulations based on real RFID data from a Walmart RFID pilot project.