This paper deals with the sensitivity analysis (SA) of inventory management models when uncertainty in the input parameters is given full consideration. We make use of Sobol’ function and variance decomposition method for determining the most influential parameters on the model output. We first illustrate the method by means of an analytical example. We provide the expression of the global importance of demand, holding costs, order costs of the Harris economic order quantity (EOQ) formula. We then present the global SA of the inventory management model developed by Luciano and Peccati [1999. Capital structure and inventory management: the temporary sale problem. International Journal of Production Economics 59, 169–178] for the econom...
The deciding factors in making lot-sizing decisions are demand pattern, setup cost and holding cost....
This paper derives sensitivity properties of the single item inventory model with stochastic demand ...
Optimal control is a very significant field of modern control theory which has been applied in many ...
Sensitivity analysis assesses the influence of input parameters on the conclusion of a model. Tradit...
In this paper, we use the elementary techniques of differential calculus to investigate the sensitiv...
Global sensitivity analysis (GSA) is an essential tool for understanding, verifying, and improving m...
International audienceWe present a global sensitivity analysis that quantifies the impact of paramet...
In this work, we introduce a new method for the sensitivity analysis of model output in the presence...
This work introduces a comprehensive approach to the sensitivity analysis (SA) of risk-coherent inve...
In this work, we deal with the problem of establishing which parameters impact an inventory policy t...
This paper considers the basic economic order quantity (EOQ) model when all parameters, such as the ...
Abstract. In the past decade, Sobol’s variance decomposition have been used as a tool- among others-...
In the past decade, Sobol’s variance decomposition has been used as a tool to assess how the output ...
Perishable products require accurate inventory control models as their effect on operations manageme...
This chapter makes a review, in a complete methodological framework, of various global sensitivity a...
The deciding factors in making lot-sizing decisions are demand pattern, setup cost and holding cost....
This paper derives sensitivity properties of the single item inventory model with stochastic demand ...
Optimal control is a very significant field of modern control theory which has been applied in many ...
Sensitivity analysis assesses the influence of input parameters on the conclusion of a model. Tradit...
In this paper, we use the elementary techniques of differential calculus to investigate the sensitiv...
Global sensitivity analysis (GSA) is an essential tool for understanding, verifying, and improving m...
International audienceWe present a global sensitivity analysis that quantifies the impact of paramet...
In this work, we introduce a new method for the sensitivity analysis of model output in the presence...
This work introduces a comprehensive approach to the sensitivity analysis (SA) of risk-coherent inve...
In this work, we deal with the problem of establishing which parameters impact an inventory policy t...
This paper considers the basic economic order quantity (EOQ) model when all parameters, such as the ...
Abstract. In the past decade, Sobol’s variance decomposition have been used as a tool- among others-...
In the past decade, Sobol’s variance decomposition has been used as a tool to assess how the output ...
Perishable products require accurate inventory control models as their effect on operations manageme...
This chapter makes a review, in a complete methodological framework, of various global sensitivity a...
The deciding factors in making lot-sizing decisions are demand pattern, setup cost and holding cost....
This paper derives sensitivity properties of the single item inventory model with stochastic demand ...
Optimal control is a very significant field of modern control theory which has been applied in many ...