TY - JOUR
T1 - Strategic process flexibility under lifecycle demand
AU - Francas, David
AU - Kremer, Mirko
AU - Minner, Stefan
AU - Friese, Markus
PY - 2009/10
Y1 - 2009/10
N2 - The better utilization of production resources has been a concern in the automotive industry over decades. Though costly itself, increasing process flexibility across the entire production network is seen as a particularly efficient approach for managing the mismatch between available production capacities and time-varying product demands. On the demand side model-based support for flexibility strategies has mainly been derived from improved absorption of instabilities brought about by demand uncertainty. In this paper we include a second source of demand dynamics, namely fluctuating demand along the product lifecycles, which has a non-negligible impact on both strategic planning and evaluation of flexibility in a production network. Built on a stochastic programming approach and numerical studies, our analysis suggests that the benefits of flexible configurations might be substantially misjudged if product lifecycles are not considered. Specifically, the benefit of a (semi-)flexible configuration hinges critically on the lifecycle phase of the different products manufactured in the network. However, our results also indicate that prominent flexibility strategies like chaining plants remain robust even when lifecycles are included in the analysis.
AB - The better utilization of production resources has been a concern in the automotive industry over decades. Though costly itself, increasing process flexibility across the entire production network is seen as a particularly efficient approach for managing the mismatch between available production capacities and time-varying product demands. On the demand side model-based support for flexibility strategies has mainly been derived from improved absorption of instabilities brought about by demand uncertainty. In this paper we include a second source of demand dynamics, namely fluctuating demand along the product lifecycles, which has a non-negligible impact on both strategic planning and evaluation of flexibility in a production network. Built on a stochastic programming approach and numerical studies, our analysis suggests that the benefits of flexible configurations might be substantially misjudged if product lifecycles are not considered. Specifically, the benefit of a (semi-)flexible configuration hinges critically on the lifecycle phase of the different products manufactured in the network. However, our results also indicate that prominent flexibility strategies like chaining plants remain robust even when lifecycles are included in the analysis.
KW - Automotive industry
KW - Lifecycle demand
KW - Manufacturing flexibility
KW - Network design
KW - Stochastic programming
UR - http://www.scopus.com/inward/record.url?scp=70349250383&partnerID=8YFLogxK
U2 - 10.1016/j.ijpe.2006.12.062
DO - 10.1016/j.ijpe.2006.12.062
M3 - Article
AN - SCOPUS:70349250383
SN - 0925-5273
VL - 121
SP - 427
EP - 440
JO - International Journal of Production Economics
JF - International Journal of Production Economics
IS - 2
ER -