Both the simulation research and software communities have been interested in optimization via simulation (OvS), by which we mean maximizing or minimizing the expected value of some output of a stochastic simulation. Continuous-decision-variable OvS, and gradient estimation to support it, has been an active research area with significant advances. However, the decision variables in many operati...

In symbolic data analysis, the values of the variables can be, among others, intervals. The algebraic structure of these variables leads us to adapt dissimilarity ones to be able to study them. The Kolmogorov-Smirnov criterion is used as a test selection metric for decision tree induction. For this criterion, the values taken by the explanatory variables have to be ordered. We have been interes...

Unlike delta-hedging or similar methods based on Greeks, global hedging is an approach that optimizes some terminal criterion that depends on the difference between the value of a derivative security and that of its hedging portfolio at maturity or exercise. Global hedging methods in discrete time can be implemented using dynamic programming. They provide optimal strategies at all rebalancing d...

The purpose of this study is to discover variables that should be considered in the creation of a strategic knowledge and decision support system for reverse logistics. This paper addresses a gap in the Lambert model of supply chain management through refining the link between the returns management process and the overall strategy of a supply chain firm by addressing the decision as to which r...

In this communication, we study decision influence diagrams using fuzzy sets and fuzzy random variables t,o model problems in which assessing real-valued ~t i l i t~ies , and employing real-valued random variables t o model random magnit,udes, are considered to be too restrictive. We propose conditions allowing us to solve decision influence diagrams when uncertainty magnitudes are formalized b...

This paper introduces an influence diagram (ID) model that permits continuous decision variables with multiple continuous parents. The marginalization operation for a continuous decision variable first develops a piecewise linear decision rule as a continuous function of the next continuous parent in the deletion sequence. Least squares regression is used to convert this rule to a piecewise lin...

OBJECTIVE This investigation examined the impact of human-machine competition (John Henry effects) on intent errors. John Henry effects, expressed as an unwillingness to use automation, were hypothesized to increase as a function of operators' personal investment in unaided performance. BACKGROUND Misuse and disuse often occur because operators (a) cannot determine if automation or a nonautom...

in management accounting information systems, managers use accounting information systems to be able to predict or have the data structured by the use of decision support systems and business intelligence. so, the use of management accounting information systems is necessary in management decision-making process based on decision support and business intelligence. this paper reviews the liter...