Background: The construction of metro lines is a high-risk project. Using a budget-based model for the safety units of metro construction projects can help safety managers to spend optimal budget allocation. The purpose of this study was to plan a budget model based on safety unit performance in an under construction metro station for better budget allocation using robust optimization. Methods...

in recent years according to the growing companies andproducts supplied, and competition between them has intensified. productsand diversity, one of the main concerns of commercial institutions.therefore, selecting the media to introduce and is important therelationship between customers’ products. given the multiplicity of mediain promoting and marketing the products, they are the optimalchoic...

Indifference-zone-selection procedures have been widely studied and applied to determine the required sample sizes for selecting a good design from k alternatives. However, efficiency is still a key concern for application of simulation to ranking and selection problems. In this paper, we present a new approach that can further enhance the efficiency of indifferencezone-selection procedures. Ou...

In this paper, we investigate advertisers’ budgeting and bidding strategies across multiple search platforms. Our goal is to characterize equilibrium allocation of a limited budget across platforms and draw managerial insights for both search engines and advertisers. We develop a model with two search engines and budget-limited advertisers who compete to obtain advertising slots across search p...

This article describes the results of applying a rigorous computational model to the problem of the optimal defensive resource allocation among potential terrorist targets. In particular, our study explores how the optimal budget allocation depends on the cost effectiveness of security investments, the defender's valuations of the various targets, and the extent of the defender's uncertainty ab...

This paper presents and studies models for multi-criterion budget allocation problems under uncertainty. The proposed models incorporate uncertainties in decision maker’s weights using a robust weighted sum approach. The risk averseness of the decision maker in satisfying random risk related constraints is ensured by using stochastic dominance. A sample average approximation approach together w...