in the real world, risk and uncertainty are two natural properties in the implementation of mega projects. most projects fail to achieve the pre-determined objectives due to uncertainty. a linear integer programming optimization model was used in this work to solve a problem in order to choose the most appropriate risk responses for the project risks. a mathematical model, in which work structu...

this research presents a mathematical model for the optimal allocation of oil and gas to different sectors in iran using operations research techniques. sectors are residential, commercial, transportation, industries, agriculture, exports, injection to oil reservoirs and power plants as a secondary energy producer. optimal allocation of energy resources to end-users from 2011 to 2021 has been d...

This paper presents a nonlinear integer programming model to support the selection of maintenance strategies implement on different segments railway network. Strategies are selected which collectively minimise impact sections’ conditions service, given network availability and budget constraints. Different metrics related topology, availability, service frequency, performance requirements costs...