A data-driven simulation-optimization framework for generating priority dispatching rules in dynamic job shop scheduling with uncertainties-Reference-Cited by-同舟云学术

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A data-driven simulation-optimization framework for generating priority dispatching rules in dynamic job shop scheduling with uncertainties

Published:2023-10 Issue: Volume:70 Page:288-308
ISSN:0278-6125
Container-title:Journal of Manufacturing Systems
language:en
Short-container-title:Journal of Manufacturing Systems

Author:

Wang Hao^ORCID,Peng Tao^ORCID,Nassehi Aydin^ORCID,Tang Renzhong

Funder

Key Research and Development Program of Zhejiang Province

China Postdoctoral Science Foundation

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Hardware and Architecture,Software,Control and Systems Engineering

Reference90 articles.

1. From intelligence science to intelligent manufacturing;Wang;Engineering,2019

2. Editorial – industrial intelligence for big data analytics;Zhang;J Manuf Syst,2022

3. Digital-twin-based job shop scheduling toward smart manufacturing;Fang;IEEE Trans Ind Inform,2019

4. Data-driven dispatching rules mining and real-time decision-making methodology in intelligent manufacturing shop floor with uncertainty;Zhang;Sensors,2021

5. Dynamic scheduling—a survey of research;Suresh;Int J Prod Econ,1993

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