TY - JOUR
T1 - Production Planning with Load Dependent Lead Times: An Update of Research
AU - Pahl, Julia
AU - Voß, Stefan
AU - Woodruff, David L.
PY - 2007
Y1 - 2007
N2 - Lead times impact the performance of the supply chain significantly. Although there is a large body of literature concerning queuing models for the analysis of the relationship between capacity utilization and lead times, and another body of work on control and order release policies that take lead times into consideration, there have been relatively few aggregate planning models that recognize the (nonlinear) 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 area, with particular attention to those models that are appropriate at the aggregate planning level.
AB - Lead times impact the performance of the supply chain significantly. Although there is a large body of literature concerning queuing models for the analysis of the relationship between capacity utilization and lead times, and another body of work on control and order release policies that take lead times into consideration, there have been relatively few aggregate planning models that recognize the (nonlinear) 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 area, with particular attention to those models that are appropriate at the aggregate planning level.
KW - Production planning
KW - Load dependent lead times
KW - Mathematical programming
KW - Supply chain management
U2 - 10.1007/s10479-007-0173-5
DO - 10.1007/s10479-007-0173-5
M3 - Journal article
SN - 0254-5330
VL - 153
SP - 297
EP - 345
JO - Annals of Operations Research
JF - Annals of Operations Research
IS - 1
ER -