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Collaborative Control, Task Administration, and Fault Tolerance for Supply Chain Network-Dynamics

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Supply Network Dynamics and Control

Part of the book series: Springer Series in Supply Chain Management ((SSSCM,volume 20))

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Abstract

The purpose of this chapter is to describe how the dynamic requirements and behaviors of supply chains and their associated complex challenges can be and have been addressed by the tools and protocols of the collaborative control theory, CCT. These tools and protocols have been developed, tested, and implemented by the PRISM Center at Purdue University and by other researchers and industries around the world. In particular, collaborative control and collaboration engineering are important for successful coordination of supply activities and interactions, due to the multiple parties involved in the supply processes and services, all subjected to disruption, errors, conflicts, and dynamic many changes. In this chapter, we describe key relevant research, methods, and tools and illustrate case studies of successful implementation.

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Acknowledgment

The research reported here has been partially supported by the Purdue University PRISM Center for Production, Robotics, and Integration Software for Manufacturing & Management; BARD Grant IS-4886-16R: Development of a Robotic Inspection System for Early Identification and Locating of Biotic and Abiotic Stresses in Greenhouse Crops; and the National Science Foundation Award 1839971 FW-HTF: Collaborative Research: Pre-Skilling Workers, Understanding Labor Force Implications and Designing Future Factory Human-Robot Workflows Using a Physical Simulation Platform. The authors also express deep appreciation to the many PRISM and PGRN colleagues and affiliated supply companies worldwide who participated in the research projects, discoveries, and implementations reported in this chapter.

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Correspondence to Win P. V. Nguyen .

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Nguyen, W.P.V., Dusadeerungsikul, P.O., Nof, S.Y. (2022). Collaborative Control, Task Administration, and Fault Tolerance for Supply Chain Network-Dynamics. In: Dolgui, A., Ivanov, D., Sokolov, B. (eds) Supply Network Dynamics and Control. Springer Series in Supply Chain Management, vol 20. Springer, Cham. https://doi.org/10.1007/978-3-031-09179-7_3

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