AbstractWe provide formulation techniques for obtaining sharp (i.e., convex hull) mixed integer programming (MIP) formulations for different classes of lot-sizing problems, including various backlogging models, and with the possibility of fixed charges on the production, backlogging, and inventory variables.We also explore approximation results for MIP formulations of generalized shop loading problems
In spite of the remarkable improvements in the quality of general purpose mixed integer programming ...
Scheduling multiple products with limited resources and varying demands remain a critical challenge ...
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...
This paper discusses mixed-integer programming formulations of variants of the discrete lot-sizing p...
This textbook provides a comprehensive modeling, reformulation and optimization approach for solving...
Abstract. Mixed integer programming (MIP) formulations are typically tightened through the use of a ...
Based on research on the polyhedral structure of lot-sizing models over the last twenty years, we cl...
This paper proposes a mixed integer programming formulation for modeling the capacitated multi-level...
A rich lot-sizing problem is studied in this manuscript which comes from a real-world application. O...
In this study, a mathematical model for the integration of lot sizing and flow shop scheduling with ...
We study the polyhedral structure of variants of the discrete lot-sizing problem viewed as special c...
AbstractLot-sizing is a very important problem in production and inventory planning under variable d...
Abstract. We consider mixed-integer linear programming (MIP) models of production plan-ning problems...
In spite of the remarkable improvements in the quality of general purpose mixed integer programming ...
In spite of the remarkable improvements in the quality of general purpose mixed integer programming ...
Scheduling multiple products with limited resources and varying demands remain a critical challenge ...
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...
This paper discusses mixed-integer programming formulations of variants of the discrete lot-sizing p...
This textbook provides a comprehensive modeling, reformulation and optimization approach for solving...
Abstract. Mixed integer programming (MIP) formulations are typically tightened through the use of a ...
Based on research on the polyhedral structure of lot-sizing models over the last twenty years, we cl...
This paper proposes a mixed integer programming formulation for modeling the capacitated multi-level...
A rich lot-sizing problem is studied in this manuscript which comes from a real-world application. O...
In this study, a mathematical model for the integration of lot sizing and flow shop scheduling with ...
We study the polyhedral structure of variants of the discrete lot-sizing problem viewed as special c...
AbstractLot-sizing is a very important problem in production and inventory planning under variable d...
Abstract. We consider mixed-integer linear programming (MIP) models of production plan-ning problems...
In spite of the remarkable improvements in the quality of general purpose mixed integer programming ...
In spite of the remarkable improvements in the quality of general purpose mixed integer programming ...
Scheduling multiple products with limited resources and varying demands remain a critical challenge ...
In this thesis we consider different joint production and transportation problems. We first study th...