In this paper the authors report on three areas where statistical inventory control (SIC) expectations diverge from reality. First, actual inventory performance seems immune to the use of modern techniques like material requirements planning (MRP) or just-in-time (JIT). Second, simulation studies seem to provide higher than expected customer service levels. Finally, dynamic organizational actions appear to change both the rules of the game and the way that it is scored. These observations suggest that the lack of effectiveness of SIC models in practice cannot be blamed exclusively on the scientists or the practitioners. The paper suggests that practitioners have not done well in applying the models that are available to them. It also points out that theory and practice are still far apart and suggests some research to remedy this.
[1]
D. Clay Whybark,et al.
Global relations between inventory, manufacturing lead time and delivery date promises
,
1993
.
[2]
William L. Berry,et al.
Manufacturing Planning and Control Systems
,
1984
.
[3]
Kwasi Amoako-Gyampah,et al.
The genealogy of operations management
,
1990
.
[4]
Helmut Schneider,et al.
Effect of service-levels on order-points or order-levels in inventory models
,
1981
.
[5]
F. Robert Jacobs,et al.
A Comparison of Reorder Point and Material Requirements Planning Inventory Control Logic
,
1992
.
[6]
Edward A. Silver,et al.
Biased selection of the inventory reorder point when demand parameters are statistically estimated
,
1987
.