Suchergebnisse

Identifies and discusses sources of delay in the new product
development process at an industrial products firm. Data were collected
during 11 bi‐weekly project review meetings at which 42 different
projects were discussed. The highest priority projects were designs for
a new venture into European markets. The study suggests that manager
selection, vendor monitoring, attention to physical engineering design,
and bureaucratic checkpoints contribute more to project delays than do
most other internal problems such as resource bottlenecks and
miscommunications.

The objective of this paper is to discover which of three forecasting modes used to select parameters for four short‐term forecasting techniques minimizes errors. The study also examines whether the amount of historical data used to find parameters contributes to forecasting success. The results show the traditional one‐ahead search routine works well in some, but not all, forecasting situations. Also, forecasting errors appear to decline when more historical data are included in the parameter search.