Whole blood or apheresis donations? A multi-objective stochastic optimization approach

AF Osorio, SC Brailsford, HK Smith - European Journal of Operational …, 2018 - Elsevier
In the blood supply chain, several alternative technologies are available for collection and
processing. These technologies differ in cost and efficiency: for example, collection by …

A stochastic multi-objective location-allocation-routing problem for tire supply chain considering sustainability aspects and quantity discounts

SB Ebrahimi - Journal of cleaner production, 2018 - Elsevier
Sustainable supply chain is widely studied and investigated in various papers due to the
presence of increasing environmental pollution and social risks caused by manufactories …

Scalable branching on dual decomposition of stochastic mixed-integer programming problems

K Kim, B Dandurand - Mathematical Programming Computation, 2022 - Springer
We present a scalable branching method for the dual decomposition of stochastic mixed-
integer programming. Our new branching method is based on the branching method …

A stabilised scenario decomposition algorithm applied to stochastic unit commitment problems

T Schulze, A Grothey, K McKinnon - European Journal of Operational …, 2017 - Elsevier
In recent years the expansion of energy supplies from volatile renewable sources has
triggered an increased interest in stochastic optimisation models for hydro-thermal unit …

Strategic bidding for a price-maker hydroelectric producer: stochastic dual dynamic programming and Lagrangian relaxation

G Steeger, T Lohmann, S Rebennack - IISE Transactions, 2018 - Taylor & Francis
In bid-based markets, energy producers seek bidding strategies that maximize their
revenue. In this article, we seek the maximum-revenue bidding schedule for a single price …

Optimization of biofuel production from corn stover under supply uncertainty in Ontario

J Ranisau, E Ogbe, A Traino, M Barbouti… - Biofuel Research …, 2017 - biofueljournal.com
In this paper, a biofuel production supply chain optimization framework is developed that
can supply the fuel demand for 10% of Ontario. Different biomass conversion technologies …

Optimizing Renewable Injection in Integrated Natural Gas Pipeline Networks Using a Multi-Period Programming Approach

E Ogbe, A Almansoori, M Fowler, A Elkamel - Energies, 2023 - mdpi.com
In this paper, we propose an optimization model that considers two pathways for injecting
renewable content into natural gas pipeline networks. The pathways include (1) power-to …

A joint decomposition method for global optimization of multiscenario nonconvex mixed-integer nonlinear programs

E Ogbe, X Li - Journal of Global Optimization, 2019 - Springer
This paper proposes a joint decomposition method that combines Lagrangian
decomposition and generalized Benders decomposition, to efficiently solve multiscenario …

[HTML][HTML] Experimentation with Benders decomposition for solving the two-timescale stochastic generation capacity expansion problem

G Vojvodic, LJ Novoa, AI Jarrah - EURO Journal on Computational …, 2023 - Elsevier
The main purpose of solving a classical generation capacity expansion problem is to ensure
that, in the medium-to long-term time frame, the electric utility has enough capacity available …

Models and algorithms for multilevel supply chain optimization

B Brunaud - 2019 - search.proquest.com
A company is group of people organized for a common goal. At the core of every company
there is an organizational structure dedicated to make decisions efficiently. This organization …