Demand forecasting is a crucial aspect of the planning process in supply-chain companies. The most common approach to forecasting demand in these companies involves the use of a computerized forecasting system to produce initial forecasts and the subsequent judgmental adjustment of these...

Nowadays, informed decision making is conducted through innovative Information and Communication Technology (ICT) support systems. In order to utilize such ICT-based support systems fully, decision makers need suitable training. This paper proposes and evaluates the use of a Forecasting and...

This paper reports the results of the NN3 competition, which is a replication of the M3 competition with an extension of the competition towards neural network (NN) and computational intelligence (CI) methods, in order to assess what progress has been made in the 10 years since the M3...

A number of research projects have demonstrated that the efficiency of inventory systems does not relate directly to demand forecasting performance, as measured by standard forecasting accuracy measures. When a forecasting method is used as an input to an inventory system, it should therefore...

This paper reports the results of the NN3 competition, which is a replication of the M3 competition with an extension of the competition towards neural network (NN) and computational intelligence (CI) methods, in order to assess what progress has been made in the 10 years since the M3...

An important stage in the policy-making process involves deciding on the strategy to be adopted for implementation, so that the objectives of the policy are met in the best possible way. A Policy Implementation Strategy (PIS) adopts a broad view of implementation, which is argued to transcend...