Systems Theory and Evidence-Based Decision-Making as Keys for Arbitrating between Optimal Production and Efficient Maintenance: A Case Study
Published 2022 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Systems Theory and Evidence-Based Decision-Making as Keys for Arbitrating between Optimal Production and Efficient Maintenance: A Case Study
Authors
Keywords
-
Journal
DISCRETE DYNAMICS IN NATURE AND SOCIETY
Volume 2022, Issue -, Pages 1-12
Publisher
Hindawi Limited
Online
2022-07-22
DOI
10.1155/2022/7660082
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Optimal maintenance scheduling under uncertainties using Linear Programming-enhanced Reinforcement Learning
- (2022) Jueming Hu et al. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
- Grounding evaluation capacity development in systems theory
- (2022) Sarah D. Klier et al. Evaluation
- Maximizing the power output and net present value of organic Rankine cycle: Application to aluminium industry
- (2021) Monika Dokl et al. ENERGY
- An analysis of task assignment and cycle times when robots are added to human-operated assembly lines, using mathematical programming models
- (2021) Tamás Koltai et al. INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
- Sequential short-term optimization of gas lift using linear programming: A case study of a mature oil field in Russia
- (2021) Daein Jeong et al. JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING
- A mathematical programming model to select maintenance strategies in railway networks
- (2021) Claudia Fecarotti et al. RELIABILITY ENGINEERING & SYSTEM SAFETY
- Joint optimization of preventive maintenance and production scheduling for multi-state production systems based on reinforcement learning
- (2021) Hongbing Yang et al. RELIABILITY ENGINEERING & SYSTEM SAFETY
- An optimization model to maximize energy generation in short-term hydropower unit commitment using efficiency points
- (2020) Maissa Daadaa et al. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
- Mathematical programming framework for modeling and comparing network-level pavement maintenance strategies
- (2018) James C. Chu et al. TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
- Single-machine-based joint optimization of predictive maintenance planning and production scheduling
- (2018) Qinming Liu et al. ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
- A mathematical programming framework for planning an emergency response system in the offshore oil and gas industry
- (2018) Markus Brachner et al. SAFETY SCIENCE
- Mathematical programming-based approaches for multi-facility glass container production planning
- (2016) Claudio Fabiano Motta Toledo et al. COMPUTERS & OPERATIONS RESEARCH
- Joint optimization of production scheduling and machine group preventive maintenance
- (2016) Lei Xiao et al. RELIABILITY ENGINEERING & SYSTEM SAFETY
- A mathematical programming approach for optimizing control plans in semiconductor manufacturing
- (2015) Justin Nduhura Munga et al. INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
- A review of mathematical programming models for strategic capacity planning in manufacturing
- (2014) Carme Martínez-Costa et al. INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
- Mathematical programming models for supply chain production and transport planning
- (2009) Josefa Mula et al. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
- Planning production using mathematical programming: The case of a woodturning company
- (2008) Rafael Pastor et al. COMPUTERS & OPERATIONS RESEARCH
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started