Titlebook: Data and Decision Sciences in Action; Proceedings of the A Ruhul Sarker,Hussein A. Abbass,Leon Young Conference proceedings 2018 Springer I

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A Comparative Study of Different Integer Linear Programming Approaches for Resource-Constrained Proresearch and computer science. In this paper, we have primarily proposed two different integer linear programming (ILP) models for RCPSPs. As the computational effort required for solving such models depends on the number of variables and constraints, our proposed mathematical models were carried ou

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A Recovery Model for Sudden Supply Delay with Demand Uncertainty and Safety Stock, mathematical model is developed that considers . and ., and generates a recovery plan for a finite future period immediately after a sudden supply delay. Solving recovery problems involve high commercial software costs, and their solutions are complex. Therefore, an efficient heuristic solution is

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Päivi Porras,Johanna Naukkarinenystem and provide insights into its operation. Well-determined input parameters are of prime importance for obtaining reliable simulations due to their impact on the performance of the simulation design. Among various strategies for producing input parameter samples is Latin hypercube design (LHD).

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Computer Supported Risk Management the ability to control heavy vehicle traffic flow through mining road networks, opportunities exist to reroute traffic away from more damaging roads in response to uncertain animal population dynamics. The presence of this flexibility in turn has a positive effect on the future value of proposed ro