Approximation Algorithms for Multitasking Scheduling Problems

Approximation Algorithms for Multitasking Scheduling Problems

In this work, we incorporate human factors and real-life operations into newly proposed multitasking scheduling problems with periodic shift activities. It is motivated by personnel resource scheduling with periodic work shifts under the requirement of providing continuous service to customers. We m...

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Bibliographic Details
Main Authors: Feifeng Zheng, Zhaojie Wang, Ming Liu, Chengbin Chu
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Multitasking
scheduling
periodic shift
approximation algorithm
Online Access:https://ieeexplore.ieee.org/document/9134734/

Internet

https://ieeexplore.ieee.org/document/9134734/

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