In this chapter we consider ways in which extended formulations (EFs) can be used computationally. We develop simple hybrid heuristics that use the EFs to get good dual bounds and decide on variables to be fixed, and formulations in the original space of variables to provide feasible solutions and good primal solutions. We also consider ways to further improve the dual bounds using a variant of Benders' algorithm. A few instances, two problems, discrete lot-sizing with start-ups on identical parallel machines, and two-level production/transportation, are used to demonstrate the approach, and for each problem computational results on a handful of instances are presented
We study three independent and self-contained topics on combinatorial optimization of certain produc...
Lot-sizing is one of the many issues arising in the context of production planning. Its main objecti...
We present an introduction to the use of mixed integer programming to solve production planning and ...
A two-level supply chain with multiple items, production sites and client areas and a discrete time ...
In this thesis we consider different joint production and transportation problems. We first study th...
AbstractWe provide formulation techniques for obtaining sharp (i.e., convex hull) mixed integer prog...
A rich lot-sizing problem is studied in this manuscript which comes from a real-world application. O...
Abstract. Mixed integer programming (MIP) formulations are typically tightened through the use of a ...
This textbook provides a comprehensive modeling, reformulation and optimization approach for solving...
International audienceWe consider a problem arising in the context of industrial production planning...
International audienceWe consider a production planning problem known as the discrete lot-sizing and...
International audienceWe study a production planning problem known as the Discrete Lot-sizing and Sc...
Scheduling multiple products with limited resources and varying demands remain a critical challenge ...
We consider the capacitated lot sizing problem with multiple items, setup time and unrelated paralle...
Much progress has been made in recent years in solving certain classes of production planning proble...
We study three independent and self-contained topics on combinatorial optimization of certain produc...
Lot-sizing is one of the many issues arising in the context of production planning. Its main objecti...
We present an introduction to the use of mixed integer programming to solve production planning and ...
A two-level supply chain with multiple items, production sites and client areas and a discrete time ...
In this thesis we consider different joint production and transportation problems. We first study th...
AbstractWe provide formulation techniques for obtaining sharp (i.e., convex hull) mixed integer prog...
A rich lot-sizing problem is studied in this manuscript which comes from a real-world application. O...
Abstract. Mixed integer programming (MIP) formulations are typically tightened through the use of a ...
This textbook provides a comprehensive modeling, reformulation and optimization approach for solving...
International audienceWe consider a problem arising in the context of industrial production planning...
International audienceWe consider a production planning problem known as the discrete lot-sizing and...
International audienceWe study a production planning problem known as the Discrete Lot-sizing and Sc...
Scheduling multiple products with limited resources and varying demands remain a critical challenge ...
We consider the capacitated lot sizing problem with multiple items, setup time and unrelated paralle...
Much progress has been made in recent years in solving certain classes of production planning proble...
We study three independent and self-contained topics on combinatorial optimization of certain produc...
Lot-sizing is one of the many issues arising in the context of production planning. Its main objecti...
We present an introduction to the use of mixed integer programming to solve production planning and ...