This paper presents an approximate affinely adjustable robust counterpart for conic quadratic constraints. The theory is applied to obtain robust solutions to the problems of subway route design with implementation errors and a supply chain management with uncertain demands. Comparison of the...

A random variable (RV) X is given aminimum selling price <Equation ID="E1"> <EquationSource Format="TEX"> $$S_U \left( X \right):=\mathop {\sup }\limits_x \left\{ {x + EU\left( {X - x} \right)} \right\}$$ </EquationSource> </Equation> and amaximum buying price <Equation ID="E2"> <EquationSource Format="TEX"> $$B_p \left( X \right):=\mathop {\inf }\limits_x \left\{ {x + EP\left( {X - x} \right)} \right\}$$ </EquationSource> </Equation>...</equationsource></equation></equationsource></equation>