Skip to main content

Research Repository

Advanced Search

Forecasting and planning for special events in the pulp and paper supply chains

Brookes, Trudy; Nikolopoulos , Kostas; Litsiou, Konstantia; Alghassab, Waleed

Forecasting and planning for special events in the pulp and paper supply chains Thumbnail


Authors

Trudy Brookes

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. (2024). 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
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
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







You might also like



Downloadable Citations