A dynamic optimisation approach for a single machine scheduling problem with machine conditions and maintenance decisions-Reference-Cited by-同舟云学术

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A dynamic optimisation approach for a single machine scheduling problem with machine conditions and maintenance decisions

Published:2021-04-13 Issue: Volume: Page:1-16
ISSN:0020-7543
Container-title:International Journal of Production Research
language:en
Short-container-title:International Journal of Production Research

Author:

Yang Wenhui¹,Chen Lu¹,Dauzère-Pèrés Stèphane²³^ORCID

Affiliation:

1. School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, People's Republic of China

2. Department of Manufacturing Sciences and Logistics, Mines Saint-Etienne, Univ. Clermont Auvergne, CNRS, UMR 6158 LIMOS, CMP, Gardanne, France

3. Department of Accounting, Auditing and Business Analytics, BI Norwegian Business School, Oslo, Norway

Funder

National Natural Science Foundation of China

Publisher

Informa UK Limited

Subject

Industrial and Manufacturing Engineering,Management Science and Operations Research,Strategy and Management

Link

https://www.tandfonline.com/doi/pdf/10.1080/00207543.2021.1910746

Reference51 articles.

1. Remaining useful life prediction of grinding mill liners using an artificial neural network

2. Scheduling onM parallel machines subject to random breakdowns to minimize expected mean flow time

3. Scheduling on a two-machine flowshop subject to random breakdowns with a makespan objective function

4. On the use of machine learning methods to predict component reliability from data-driven industrial case studies

5. A Maximization Technique Occurring in the Statistical Analysis of Probabilistic Functions of Markov Chains

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1. Two-stage learning scatter search algorithm for the distributed hybrid flow shop scheduling problem with machine breakdown;Expert Systems with Applications;2025-01

2. Joint optimization of job scheduling, condition-based maintenance planning, and spare parts ordering for degrading production systems;Reliability Engineering & System Safety;2024-12

3. An integrated framework of preventive maintenance and task scheduling for repairable multi-unit systems;Reliability Engineering & System Safety;2024-07

4. Integrated decision of production scheduling and condition-based maintenance planning for multi-unit systems with variable replacement thresholds;Journal of Manufacturing Systems;2024-06

5. Optimal maintenance of deteriorating equipment using semi-Markov decision processes and linear programming;International Journal of Industrial Engineering and Management;2024-03-30

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