Add to ORKGThis paper addresses the comparison between two techniques for the optimization under parametric uncertainty of multiproduct batch plants integrating design and production planning decisions. This problem has been conceived as a two-stage stochastic Mixed Integer Linear Programming (MILP) in which the first-stage decisions consist of design variables that allow determining the batch plant structure, and the second-stage decisions consist of production planning continuous variables in a multi-period context. The objective function maximizes the expected net present value. In the first solving approach, the problem has been tackled through mathematical programming considering a discrete set of scenarios. In the second solving approach, the mu...
Due to their large variety of applications, complex optimisation problems induced a great effort to ...
This work deals with the multicriteria cost–environment design of multiproduct batch plants, where t...
This study addresses the problem of batch plant scheduling. In addition uncertainty on product deman...
This paper addresses the comparison between two techniques for the optimization under parametric unc...
This paper addresses the comparison between two techniques for the optimization under parametric unc...
A two-stage stochastic multiperiod LGDP (linear generalized disjunctive programming) model was devel...
The goal of this work is to propose a multiperiod mixed-integer linear programming model that integr...
Batch manufacturing plants require the frequent adaptation of production facilities to incorporate i...
Batch manufacturing plants require the frequent adaptation of production facilities to incorporate i...
This paper presents a general multiperiod optimization model, which simultaneously solves the design...
– In reality, the decision-making process of an enterprise involves multiple sources of uncertainty ...
A multistage stochastic optimization model is presented to address the scheduling of supply chains w...
New alternatives for the simultaneous design and planning of multiproduct batch plants in a multiper...
A mixed integer linear programming (MILP) for the detailed production planning of multiproduct batch...
The degree of uncertainty in a process design has a direct impact on the economics of the design and...
Due to their large variety of applications, complex optimisation problems induced a great effort to ...
This work deals with the multicriteria cost–environment design of multiproduct batch plants, where t...
This study addresses the problem of batch plant scheduling. In addition uncertainty on product deman...
This paper addresses the comparison between two techniques for the optimization under parametric unc...
This paper addresses the comparison between two techniques for the optimization under parametric unc...
A two-stage stochastic multiperiod LGDP (linear generalized disjunctive programming) model was devel...
The goal of this work is to propose a multiperiod mixed-integer linear programming model that integr...
Batch manufacturing plants require the frequent adaptation of production facilities to incorporate i...
Batch manufacturing plants require the frequent adaptation of production facilities to incorporate i...
This paper presents a general multiperiod optimization model, which simultaneously solves the design...
– In reality, the decision-making process of an enterprise involves multiple sources of uncertainty ...
A multistage stochastic optimization model is presented to address the scheduling of supply chains w...
New alternatives for the simultaneous design and planning of multiproduct batch plants in a multiper...
A mixed integer linear programming (MILP) for the detailed production planning of multiproduct batch...
The degree of uncertainty in a process design has a direct impact on the economics of the design and...
Due to their large variety of applications, complex optimisation problems induced a great effort to ...
This work deals with the multicriteria cost–environment design of multiproduct batch plants, where t...
This study addresses the problem of batch plant scheduling. In addition uncertainty on product deman...