The Equalization method for the Stochastic Generalized Transportation Problem is presented. The algorithm allows to find the optimal solution to the problem of minimizing the expected total cost in the Generalized Transportation Problem with random demand. It is shown that the method is...

Time-cost tradeoff analysis is a very important issue in project management. The Kaufmann–Desbazeille algorithm is considered by numerous authors to be an exact algorithm to solve this problem. In the paper, we prove that this claim is not true. In particular, we perform a worst-case...

The Equalization method for the Stochastic Generalized Transportation Problem is presented. The algorithm allows to find the optimal solution to the problem of minimizing the expected total cost in the Generalized Transportation Problem with random demand. It is shown that the method is...

Time-cost tradeoff analysis is a very important issue in project management. The Kaufmann–Desbazeille algorithm is considered by numerous authors to be an exact algorithm to solve this problem. In the paper, we prove that this claim is not true. In particular, we perform a worst-case...

The Equalization method for the Stochastic Generalized Transportation Problem is presented. The algorithm allows to find the optimal solution to the problem of minimizing the expected total cost in the Generalized Transportation Problem with random demand. It is shown that the method is...

The Generalized Transportation Problem (GTP) allows us to model situations where the amount of goods leaving the supply points is not equal to the amount delivered to the destina-tions (this is the case e.g. when fragile or perishable goods are transported or complaints may occur). In this...

The papers included in two issues 3/2012 and 4/2012 were presented

Time-cost tradeoff analysis is a very important issue in project management. The Kaufmann–Desbazeille algorithm is considered by numerous authors to be an exact algorithm to solve this problem. In the paper, we prove that this claim is not true. In particular, we perform a worst-case...