TY - JOUR
T1 - A two-echelon inventory model for a deteriorating item with stock-dependent demand, partial backlogging and capacity constraints
AU - Ghiami, Y.
AU - Williams, Terry
AU - Wu, Yue
PY - 2013
Y1 - 2013
N2 - This study investigates a two-echelon supply chain model for deteriorating inventory in which the retailer’s warehouse has a limited capacity. The system includes one wholesaler and one retailer and aims to minimise the total cost. The demand rate in retailer is stock-dependent and in case of any shortages, the demand is partially backlogged. The warehouse capacity in the retailer (OW) is limited; therefore the retailer can rent a warehouse (RW) if needed with a higher cost compared to OW. The optimisation is done from both the wholesaler’s and retailer’s perspectives simultaneously. In order to solve the problem a genetic algorithm is devised. After developing a heuristic a numerical example together with sensitivity analysis are presented. Finally, some recommendations for future research are presented.
AB - This study investigates a two-echelon supply chain model for deteriorating inventory in which the retailer’s warehouse has a limited capacity. The system includes one wholesaler and one retailer and aims to minimise the total cost. The demand rate in retailer is stock-dependent and in case of any shortages, the demand is partially backlogged. The warehouse capacity in the retailer (OW) is limited; therefore the retailer can rent a warehouse (RW) if needed with a higher cost compared to OW. The optimisation is done from both the wholesaler’s and retailer’s perspectives simultaneously. In order to solve the problem a genetic algorithm is devised. After developing a heuristic a numerical example together with sensitivity analysis are presented. Finally, some recommendations for future research are presented.
U2 - 10.1016/j.ejor.2013.06.015
DO - 10.1016/j.ejor.2013.06.015
M3 - Article
SN - 0377-2217
VL - 231
SP - 587
EP - 597
JO - European Journal of Operational Research
JF - European Journal of Operational Research
IS - 3
ER -