This paper is concerned with the optimal influenza vaccine distribution in a heterogeneous
population consisting of multiple subgroups. We employ a compartmental model for …

We address nonconvex bilinear problems where the main objective is the computation of a
tight lower bound for the objective function to be minimized. This can be obtained through a …

In this paper, we present a brief overview of enterprise-wide optimization and challenges in
multiscale temporal modeling and integration of different models for the levels of planning …

In this paper, we present the derivation of the multiparametric disaggregation technique
(MDT) by Teles et al.(J. Glob. Optim., 2011) for solving nonconvex bilinear programs. Both …

Operations research (OR) is a branch of mathematical sciences that aims to utilize
mathematical modeling, statistical analysis, and mathematical optimization systematically to …

In this paper, we introduce a new generalized multiperiod scheduling version of the pooling
problem to represent time varying blending systems. A general nonconvex MINLP …

This paper addresses the modeling of crude oil operations in refineries assuming that all
properties blend linearly. Guidelines are given on how to generate a Resource-Task …

A key element for the global optimization of non-convex mixed-integer bilinear problems is
the computation of a tight lower bound for the objective function being minimized …

This paper revisits the approach of transforming a mixed-integer polynomial program
(MIPOP) into a mixed-integer quadratically-constrained program (MIQCP), in the light of …

We present an integrated methodology for optimal short-term planning of integrated refinery-
petrochemical complexes (IRPCs) and demonstrate it on a full-scale industrial case study …