47 citations · 79 across the 6 of their papers we have counts for
6 papers
Extensions to the Guaranteed Service Model for Industrial Applications of Multi-Echelon Inventory Optimization
Victoria G. Achkar, Braulio B. Brunaud, Hector D. Perez +3
Multi-echelon inventory optimization (MEIO) plays a key role in a supply chain seeking to achieve specified customer service levels with a minimum capital in inventory. In this wor…
DisjunctiveProgramming.jl: Generalized Disjunctive Programming Models and Algorithms for JuMP
Hector D. Perez, Shivank Joshi, Ignacio E. Grossmann
We present a Julia package, DisjunctiveProgramming.jl, that extends the functionality in JuMP.jl to allow modeling problems via logical propositions and disjunctive constraints. Su…
Extensions to Generalized Disjunctive Programming: Hierarchical Structures and First-order Logic
Hector D. Perez, Ignacio E. Grossmann
Optimization problems with discrete-continuous decisions are traditionally modeled in algebraic form via (non)linear mixed-integer programming. A more systematic approach to modeli…
Modelling and analysis of offshore energy hubs
Hongyu Zhang, Asgeir Tomasgard, Brage Rugstad Knudsen +3
Clean, multi-carrier Offshore Energy Hubs (OEHs) may become pivotal for efficient offshore wind power generation and distribution. In addition, OEHs may provide decarbonised energy…
Convex Mixed-Integer Nonlinear Programs Derived from Generalized Disjunctive Programming using Cones
David E. Bernal Neira, Ignacio E. Grossmann
We propose the formulation of convex Generalized Disjunctive Programming (GDP) problems using conic inequalities leading to conic GDP problems. We then show the reformulation of co…
OR-Gym: A Reinforcement Learning Library for Operations Research Problems
Christian D. Hubbs, Hector D. Perez, Owais Sarwar +3
Reinforcement learning (RL) has been widely applied to game-playing and surpassed the best human-level performance in many domains, yet there are few use-cases in industrial or com…