Multi-objective Quantum Annealing approach for solving flexible job shop scheduling in manufacturing-Reference-Cited by-同舟云学术

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Multi-objective Quantum Annealing approach for solving flexible job shop scheduling in manufacturing

Published:2024-02 Issue: Volume:72 Page:142-153
ISSN:0278-6125
Container-title:Journal of Manufacturing Systems
language:en
Short-container-title:Journal of Manufacturing Systems

Author:

Schworm Philipp^ORCID,Wu Xiangqian,Klar Matthias^ORCID,Glatt Moritz,Aurich Jan C.

Publisher

Elsevier BV

Subject

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

Reference42 articles.

1. Grundlagen der Produktionsplanung und -steuerung;Schuh,2012

2. New concepts for production planning and control;Zäpfel;Eur J Oper Res,1993

3. Scheduling;Pinedo,2016

4. Review of job shop scheduling research and its new perspectives under Industry 4.0;Zhang;J Intell Manuf,2019

5. Advanced metaheuristic techniques for mechanical design problems: review;Abd Elaziz;Arch Comput Methods Eng,2022

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A hybrid simheuristic algorithm for solving bi-objective stochastic flexible job shop scheduling problems;Decision Analytics Journal;2024-06

2. Low-Carbon Flexible Job Shop Scheduling Problem Based on Deep Reinforcement Learning;Sustainability;2024-05-27

3. Hybrid Quantum-Classical Computation Framework for Production Optimization: A Case Study in Precision Mechanical Assembly;2024

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