INSIGHT - medIcal oxygen supply chaiN deSIGn and planning for COVID-19 HospiTals
Lead Research Organisation:
University College London
Department Name: Chemical Engineering
Abstract
With the evolution of the ongoing SARS-CoV-2 pandemic becoming increasingly uncertain and
oxygen-therapy being the current dominant treatment of patients, securing resilient and robust
operation of medical oxygen supply chains becomes increasingly urgent.
INSIGHT will develop a whole-systems analysis on the integrated design and operation of medical oxygen supply chains in
the UK for current, future waves of SARS-CoV-2 as well as for other pandemics and cases that
require emergency planning. A key uniqueness of INSIGHT is the spatially-explicit and uncertainty-aware
modelling of supply chains which will provide a roadmap to region-specific strategies for
coping with different realisations of future COVID-19 waves.
Our optimisation-based framework for enhanced decision making for emergency planning will be open-source, publicly available and
due to the design of INSIGHT could be easily generalised to inform European and low and middle income
countries (LMICs) strategies. To this end, we propose to combine methodologies from
supply chain optimisation, multi-scale modelling and stochastic optimisation. Through
our long-standing collaboration with Linde.plc we have been developing models related to the air
separation industry. Finally, we have secured the active participation of BOC, one of the two NHS
bulk medical oxygen providers, so as to maximise the impact and applicability of INSIGHT's
outcomes.
oxygen-therapy being the current dominant treatment of patients, securing resilient and robust
operation of medical oxygen supply chains becomes increasingly urgent.
INSIGHT will develop a whole-systems analysis on the integrated design and operation of medical oxygen supply chains in
the UK for current, future waves of SARS-CoV-2 as well as for other pandemics and cases that
require emergency planning. A key uniqueness of INSIGHT is the spatially-explicit and uncertainty-aware
modelling of supply chains which will provide a roadmap to region-specific strategies for
coping with different realisations of future COVID-19 waves.
Our optimisation-based framework for enhanced decision making for emergency planning will be open-source, publicly available and
due to the design of INSIGHT could be easily generalised to inform European and low and middle income
countries (LMICs) strategies. To this end, we propose to combine methodologies from
supply chain optimisation, multi-scale modelling and stochastic optimisation. Through
our long-standing collaboration with Linde.plc we have been developing models related to the air
separation industry. Finally, we have secured the active participation of BOC, one of the two NHS
bulk medical oxygen providers, so as to maximise the impact and applicability of INSIGHT's
outcomes.
Publications
Bounitsis G
(2023)
33rd European Symposium on Computer Aided Process Engineering
Bounitsis G
(2024)
Stable optimisation-based scenario generation via game theoretic approach
in Computers & Chemical Engineering
Bounitsis G
(2023)
33rd European Symposium on Computer Aided Process Engineering
Bounitsis G
(2022)
Data-driven scenario generation for two-stage stochastic programming
in Chemical Engineering Research and Design
Lee Y
(2022)
Integrated production and inventory routing planning of oxygen supply chains
in Chemical Engineering Research and Design
Marousi A
(2023)
33rd European Symposium on Computer Aided Process Engineering
Marousi A
(2024)
Game-theoretic optimisation of supply chain design with customer contracts: The case of industrial gases market
in Computers & Chemical Engineering
Description | Collaboration projects have been used to test ideas to industry. |
First Year Of Impact | 2022 |
Description | Praxair/Linde supply chains |
Organisation | Praxair Surface Technologies |
Country | United States |
Sector | Private |
PI Contribution | Collaborating Organisation and Project Partner |
Collaborator Contribution | Case studies for industrial gas supply chains |
Impact | journal publicatios |
Start Year | 2017 |