Planning of Supply Chains Threatened by Extreme Events: Novel Heuristic and Application to Industry Case Studies
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Author / Producer
Date
2019
Publication Type
Conference Paper
ETH Bibliography
no
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Abstract
Chemical supply chains are a crucial component in the ongoing supply of large population centres. Unfortunately, episodes of extreme weather have, in recent years, revealed vulnerabilities in global supply networks to high-impact events. With a possible increase in both frequency and intensity of these events due to climate change, supply chains are at risk of disruption now more than ever, with potentially dire economic, societal, and environmental consequences. Acknowledging that the direct application of stochastic programming can quickly lead to very large CPU times, we propose an algorithm that combines the sample average approximation method with a selection heuristic for extreme event scenarios. Our method allows to analyse the tradeoff between economic performance and disruption risk, identifying supply chain configurations which are more resilient against extreme events. We demonstrate the effectiveness of this methodology in multiple case studies, showing how it identifies near optimal solutions in short CPU times.
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Publication status
published
Book title
29th European Symposium on Computer Aided Process Engineering
Journal / series
Volume
46 (Part A)
Pages / Article No.
835 - 840
Publisher
Elsevier
Event
29th European Symposium on Computer-Aided Process Engineering (ESCAPE-29)
Edition / version
Methods
Software
Geographic location
Date collected
Date created
Subject
Supply chains; Optimization; Stochastic programming; Climate change; Extreme events
Organisational unit
09655 - Guillén Gosálbez, Gonzalo / Guillén Gosálbez, Gonzalo