This volume presents five studies for modeling agro-industrial development at a regional and enterprise level with the basic methodological framework of dynamic linear programming. The first two papers focus on methodological problems. Section 1 describes a dynamic linear modeling framework for studying agro-industrial development. The introduction of uncertainties in linear dynamic agricultural models is discussed in Section 2. Concrete modeling projects using dynamic linear programming are reported in the next three papers. A farm level application of dynamic Linear models is presented in Section 3. Section 4 gives an account of the Silistra case study where the dynamic linear model elaborated at IIASA was used as the basic methodology fo...
This paper presents a framework that permits an integrated analysis of a complex livestock system in...
The study is composed of two parts: at first we briefly discuss some questions of modelling the food...
<p>Agricultural systems science generates knowledge that allows researchers to consider complex prob...
In this paper a dynamic linear programming model for large scale farm development is presented. Spec...
This paper outlines a dynamic linear programming (DLP) model for planning a diversified agri-industr...
The paper presents a survey of dynamic linear programming models. First, models are considered which...
The most common application of linear programming in agricultural situations has been to the problem...
This paper considers the dynamic linear programming model for multi-species livestock farming with a...
This paper presents a System Dynamics model to analyze the consequences of investments in agricultur...
This study evaluated the usefulness and efficacy of linear programming (LP) models, and the Grazing ...
Dynamic linear programming models have been extensively used at IIASA to examine the long-term conse...
As sector programming models have increased in number, they have also increased, individually, in si...
The objective of this paper is to develop a dynamic model that may be useful in the analysis of inve...
As part of IIASA's Food and Agricultural Program, the research project "Limits and Consequences of F...
Agricultural systems science generates knowledge that allows researchers to consider complex problem...
This paper presents a framework that permits an integrated analysis of a complex livestock system in...
The study is composed of two parts: at first we briefly discuss some questions of modelling the food...
<p>Agricultural systems science generates knowledge that allows researchers to consider complex prob...
In this paper a dynamic linear programming model for large scale farm development is presented. Spec...
This paper outlines a dynamic linear programming (DLP) model for planning a diversified agri-industr...
The paper presents a survey of dynamic linear programming models. First, models are considered which...
The most common application of linear programming in agricultural situations has been to the problem...
This paper considers the dynamic linear programming model for multi-species livestock farming with a...
This paper presents a System Dynamics model to analyze the consequences of investments in agricultur...
This study evaluated the usefulness and efficacy of linear programming (LP) models, and the Grazing ...
Dynamic linear programming models have been extensively used at IIASA to examine the long-term conse...
As sector programming models have increased in number, they have also increased, individually, in si...
The objective of this paper is to develop a dynamic model that may be useful in the analysis of inve...
As part of IIASA's Food and Agricultural Program, the research project "Limits and Consequences of F...
Agricultural systems science generates knowledge that allows researchers to consider complex problem...
This paper presents a framework that permits an integrated analysis of a complex livestock system in...
The study is composed of two parts: at first we briefly discuss some questions of modelling the food...
<p>Agricultural systems science generates knowledge that allows researchers to consider complex prob...