Izack Cohen

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This paper addresses the problem of loading a finite capacity, stochastic (random) and dynamic multi-project system. The system is controlled by keeping a constant number of projects concurrently in the system. A new approach, based on the Cross-Entropy (CE) method, is proposed to determine optimal loading of the system. Through numerical experiments, we(More)
I n this article we present our concept of time-critical decision making, sometimes even in life-threatening situations , and compare it to the process of non-time-critical decision making. Decision-making methodologies have been extensively researched, and some of the published research deals with decision making within the context of everyday life.(More)
We consider the problem of allocating resources to projects performed under given due dates and stochas-tic time– cost tradeoff settings. In particular, we show how to implement a state-of-the-art methodology known as " robust optimization " to solve the problem. In contrast to conventional approaches, the model we develop results in management policies(More)
This paper addresses the problem of resource allocation in a finite-capacity, stochastic (random) and dynamic multi-project system. The system is modeled as a queuing network that is controlled by limiting the number of concurrent projects. We propose a Cross Entropy (CE) based approach to determine near-optimal resource allocations to the entities that(More)
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