TY - JOUR
T1 - Production Planning with Load Dependent Lead Times
AU - Pahl, Julia
PY - 2005/9/1
Y1 - 2005/9/1
N2 - Lead times impact the performance of the supply chain significantly. Although there is a large literature concerning queuing models for the analysis of the relationship between capacity utilization and lead times, and there is a substantial literature concerning control and order release policies that take lead times into consideration, there have been only few papers describing models at the aggregate planning level that recognize the relationship between the planned utilization of capacity and lead times. In this paper we provide an in-depth discussion of the state-of-the art in this literature, with particular attention to those models that areappropriate at the aggregate planning level.
AB - Lead times impact the performance of the supply chain significantly. Although there is a large literature concerning queuing models for the analysis of the relationship between capacity utilization and lead times, and there is a substantial literature concerning control and order release policies that take lead times into consideration, there have been only few papers describing models at the aggregate planning level that recognize the relationship between the planned utilization of capacity and lead times. In this paper we provide an in-depth discussion of the state-of-the art in this literature, with particular attention to those models that areappropriate at the aggregate planning level.
KW - Production planning
KW - load dependent lead times
KW - mathematical programming
KW - supply chain management
UR - http://link.springer.com/article/10.1007%2Fs10479-007-0173-5
U2 - 10.1007/s10288-005-0083-9
DO - 10.1007/s10288-005-0083-9
M3 - Journal article
VL - 3
SP - 257
EP - 302
JO - 4OR: A Quarterly Journal of Operations Research
JF - 4OR: A Quarterly Journal of Operations Research
SN - 1619-4500
IS - 4
ER -