FORECASTING - BRIDGING THE GAP BETWEEN SALES AND MANUFACTURING

Citation
L. Hagdornvandermeijden et al., FORECASTING - BRIDGING THE GAP BETWEEN SALES AND MANUFACTURING, International journal of production economics, 37(1), 1994, pp. 101-114
Citations number
NO
Categorie Soggetti
Engineering
ISSN journal
09255273
Volume
37
Issue
1
Year of publication
1994
Pages
101 - 114
Database
ISI
SICI code
0925-5273(1994)37:1<101:F-BTGB>2.0.ZU;2-C
Abstract
Conflicts frequently occur between demand forecasts that help sales an d marketing to reach their targets and the demand forecasts that help manufacturing to produce the right amounts of products at the right ti me at a minimum cost level. This gap is a serious problem especially i n industrial firms with production lead times that are (much) longer t han customer order lead times: production to order is not possible, so a close coordination w.r.t. forecasts between sales and manufacturing is needed. In many companies, this coordination has not been given mu ch attention and, as a consequence, separate sales and manufacturing f orecasts art used. This results in high inventories and in spending (t oo) much effort in trying to reach the customer service level required by the market. This paper is based on experiences within several prac tical situations, but in particular on an extensive study for an inter national producer of a specific type of consumer goods (like detergent s, fashion, foods and electronics). Within this large international co mpany ''Rahanu'', forecasting plays an important role for many years. In this period, each of the Operating Companies (OCs) of Rahanu has de veloped her own forecasting procedure. The experiences and difficultie s with forecasting in these OCs was the basis of the development for o ne demand forecasting strategy for both sales and manufacturing. This strategy will further improve the quality of the demand forecasts and therefore reduce costs and improve customer service. Based on this cas e study, we put forward some suggestions to bridge the gap between the different demand forecasts of sales and manufacturing. This is done, not by improving statistical forecasting techniques, but by combining relatively simple statistical techniques with improved cooperation and coordination between the sales department and the manufacturing depar tment. In this way one common demand forecast is created, that is acce pted by the production as well as the sales department.