Principal component analysis-aided statistical process optimisation (PASPO) for process improvement in industrial refineries
Author
Abstract
Suggested Citation
Download full text from publisher
References listed on IDEAS
- Nobi, Ashadun & Alam, Shafiqul & Lee, Jae Woo, 2017. "Dynamic of consumer groups and response of commodity markets by principal component analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 482(C), pages 337-344.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Lo, Shirleen Lee Yuen & How, Bing Shen & Teng, Sin Yong & Lam, Hon Loong & Lim, Chun Hsion & Rhamdhani, Muhammad Akbar & Sunarso, Jaka, 2021. "Stochastic techno-economic evaluation model for biomass supply chain: A biomass gasification case study with supply chain uncertainties," Renewable and Sustainable Energy Reviews, Elsevier, vol. 152(C).
- Jason Yi Juang Yeo & Bing Shen How & Sin Yong Teng & Wei Dong Leong & Wendy Pei Qin Ng & Chun Hsion Lim & Sue Lin Ngan & Jaka Sunarso & Hon Loong Lam, 2020. "Synthesis of Sustainable Circular Economy in Palm Oil Industry Using Graph-Theoretic Method," Sustainability, MDPI, vol. 12(19), pages 1-29, September.
- Leong, Wei Dong & Teng, Sin Yong & How, Bing Shen & Ngan, Sue Lin & Lam, Hon Loong & Tan, Chee Pin & Ponnambalam, S. G., 2019. "Adaptive Analytical Approach to Lean and Green Operations," MPRA Paper 95449, University Library of Munich, Germany, revised 20 May 2019.
- Yong Tan & Amir Karbassi Yazdi & Jorge Antunes & Peter Wanke & Angappa Gunasekaran & Henrique Luiz Corrêa & Giuliani Coluccio, 2024. "The Quest for an ESG Country Rank: A Performance Contribution Analysis/MCDM Approach," Mathematics, MDPI, vol. 12(12), pages 1-24, June.
- Yeo, Lip Siang & Teng, Sin Yong & Ng, Wendy Pei Qin & Lim, Chun Hsion & Leong, Wei Dong & Lam, Hon Loong & Wong, Yat Choy & Sunarso, Jaka & How, Bing Shen, 2022. "Sequential optimization of process and supply chains considering re-refineries for oil and gas circularity," Applied Energy, Elsevier, vol. 322(C).
- Tomohiko Sakao & Abhijna Neramballi, 2020. "A Product/Service System Design Schema: Application to Big Data Analytics," Sustainability, MDPI, vol. 12(8), pages 1-22, April.
- Yago Fraga Ferreira Brandão & Leonardo Bandeira dos Santos & Gleice Paula de Araújo & Leonildo Pereira Pedrosa Júnior & Benjamim Francisco da Costa Neto & Rita de Cássia Freire Soares da Silva & Mohan, 2022. "Use of High-Frequency Ultrasound Waves for Boiler Water Demineralization/Desalination Treatment," Energies, MDPI, vol. 15(12), pages 1-17, June.
- Zhao, Guanjia & Cui, Zhipeng & Xu, Jing & Liu, Wenhao & Ma, Suxia, 2022. "Hybrid modeling-based digital twin for performance optimization with flexible operation in the direct air-cooling power unit," Energy, Elsevier, vol. 254(PC).
- Teng, Sin Yong & Leong, Wei Dong & How, Bing Shen & Lam, Hon Loong & Máša, Vítězslav & Stehlík, Petr, 2021. "Debottlenecking cogeneration systems under process variations: Multi-dimensional bottleneck tree analysis with neural network ensemble," Energy, Elsevier, vol. 215(PB).
- Teng, Sin Yong & Touš, Michal & Leong, Wei Dong & How, Bing Shen & Lam, Hon Loong & Máša, Vítězslav, 2021. "Recent advances on industrial data-driven energy savings: Digital twins and infrastructures," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Ashadun Nobi & Kamrul Hasan Tuhin & Jae Woo Lee, 2021. "Application of principal component analysis on temporal evolution of COVID-19," PLOS ONE, Public Library of Science, vol. 16(12), pages 1-12, December.
More about this item
Keywords
Principal Component Analysis; Design of Experiment; Plant-wide Optimisation; Statistical Process Optimization; PASPO; Big Data Analytics;All these keywords.
JEL classification:
- C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
- C6 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling
- C8 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs
- C9 - Mathematical and Quantitative Methods - - Design of Experiments
- L6 - Industrial Organization - - Industry Studies: Manufacturing
NEP fields
This paper has been announced in the following NEP Reports:- NEP-BIG-2019-06-10 (Big Data)
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pra:mprapa:94058. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.html .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.