Resilience-Based Surrogate Robustness Measure and Optimization Method for Robust Job-Shop Scheduling

Resilience-Based Surrogate Robustness Measure and Optimization Method for Robust Job-Shop Scheduling

This paper addresses the robust job-shop scheduling problems (RJSSP) with stochastic deteriorating processing times by considering the resilience of the production schedule. To deal with the disturbances caused by the processing time variations, the expected deviation between the realized makespan a...

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Bibliographic Details
Main Authors: Shichang Xiao, Zigao Wu, Hongyan Dui
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Mathematics
Subjects:
production resilience
robust job-shop scheduling
surrogate robustness measure
disturbance propagation
optimization algorithm
Online Access:https://www.mdpi.com/2227-7390/10/21/4048

Internet

https://www.mdpi.com/2227-7390/10/21/4048

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