Trudy Brookes
Forecasting and planning for special events in the pulp and paper supply chains
Brookes, Trudy; Nikolopoulos , Kostas; Litsiou, Konstantia; Alghassab, Waleed
Authors
Professor Kostas Nikolopoulos kostas.nikolopoulos@durham.ac.uk
Professor
Konstantia Litsiou
Waleed Alghassab
Abstract
Due to global warming, flood is an increasing threat to companies operating in the pulp and paper industry. The impact of this threat needs to be managed. We deploy a qualitative investigation into how paper manufacturers can forecast and mitigate the impact of special events, most notably floods, across their supply chains. A grounded theory approach using semi-structured interviews held with supply chain consultants in three stages allowed for topic categories emerging during previous interviews to be explored. Analysis of these interviews uncovered tactics unique to the pulp and paper industry. The findings are three-fold. First, paper manufacturers should focus on basic forecasting methods which they are capable of, such as subscribing to flood warnings, rather than poorly executing advance machine learning forecasts. Second, planning is of equal importance to forecasting: integrated business planning should guide the process. Third, business execution should involve a proactive approach to decision-making which trusts data and has people that nurture and drive the process.
Citation
Brookes, T., Nikolopoulos , K., Litsiou, K., & Alghassab, W. (online). Forecasting and planning for special events in the pulp and paper supply chains. Supply Chain Forum: an International Journal, https://doi.org/10.1080/16258312.2024.2315029
Journal Article Type | Article |
---|---|
Acceptance Date | Jan 31, 2024 |
Online Publication Date | Feb 14, 2024 |
Deposit Date | Feb 5, 2024 |
Publicly Available Date | Feb 15, 2024 |
Journal | Supply Chain Forum: an International Journal |
Print ISSN | 1625-8312 |
Electronic ISSN | 1624-6039 |
Publisher | Taylor and Francis |
Peer Reviewed | Peer Reviewed |
DOI | https://doi.org/10.1080/16258312.2024.2315029 |
Public URL | https://durham-repository.worktribe.com/output/2217075 |
Files
Published Journal Article (Advance Online Version)
(1 Mb)
PDF
Publisher Licence URL
http://creativecommons.org/licenses/by-nc-nd/4.0/
Accepted Journal Article
(468 Kb)
PDF
Licence
http://creativecommons.org/licenses/by/4.0/
Copyright Statement
This accepted manuscript is licensed under the Creative Commons Attribution 4.0 licence. https://creativecommons.org/licenses/by/4.0/
You might also like
Forecasting the success of International Joint Ventures
(2024)
Presentation / Conference Contribution
Insights into accuracy of social scientists' forecasts of societal change
(2023)
Journal Article
Fathoming empirical forecasting competitions’ winners
(2022)
Journal Article
Downloadable Citations
About Durham Research Online (DRO)
Administrator e-mail: dro.admin@durham.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2025
Advanced Search