Using data on employers’ job listings, this study demonstrates that employers are seeking algorithmic literacy from workers in a broad class of occupations. The empirical evidence is consistent with the hypothesis that there are significant productivity gains to having algorithmic literacy and...

In the current market economy, alliances play a key role in developingstrategies across fields. In order to have a good partner, managers have used bothqualitative and quantitative methodologies. This paper proposes a mathematical modelto figure out the most suitable strategic partners. With...

We propose gradient-based simulation-optimization algorithms to optimize systems that have complicated stochastic structure. The presence of complicated stochastic structure, such as the involvement of infinite-dimensional continuous-time stochastic processes, may cause the exact simulation of...

We study the canonical quantity-based network revenue management (NRM) problem where the decision-maker must irrevocably accept or reject each arriving customer request with the goal of maximizing the total revenue given limited resources. The exact solution to the problem by dynamic programming...

Cloud computing is an infrastructure for proffer computing services over the internet on-demand in heterogeneous distributed environment and make payment for used of shared resources such as storage, services servers, applications, and networks, without physically owning them. So, it also saves...

The Laws of Information for Traders are developed and a framework for the solution of stochastic program- ming problems relevant to trading with an alpha are presented. The solution is expressed in terms of a holding function which represents the optimal policy for a trader to follow at any...

Deep reinforcement learning (DRL) has shown great potential for sequential decision-making, including early developments in inventory control. Yet, the abundance of choices that come with designing a DRL algorithm, combined with the intense computational effort to tune and evaluate each choice,...