Ebrahim Sepehri Shafig - Department of Management , Islamic Azad University of Tabriz
Kamalledin Rahmani - Assistant Professor, Department of Management , Islamic Azad University of Tabriz

The high dynamics of markets are only one reason for the increasing complexity ofproduction planning and control. To handle this complexity manufacturing companies haveimplemented IT systems to support decision-making in detailed scheduling processes.However, applied IT systems often do not provide a reliable forecast of delivery dates,because the planning models are implemented uniquely and have never been adapted due tochanges in the production system. This paper presents an approach to verify the forecastreliability of detailed planning systems by identifying deviations between the predictedproduction schedule, determined by the IT system, and the observed production processes inreality. The paper introduces the reasons for deviations and explains how they can bedetermined. The approach represents how categorical and continuous verification methodscan be applied to identify the described deviations. Depending on the determined deviationsthe forecast quality index of detailed planning systems is developed. Besides the assessmentof the forecast quality the reasons for deviations are of interest to production planners.Identified reasons are the starting point for adaptions in planning models to enable a reliableforecast of re-configurable production planning systems in the future

production planning, production control, changeability, re-configuration