TY - GEN
T1 - A decentralized collaborative replenishment decision-making model in the automobile supply chain sector
AU - Hernández, Jorge E.
AU - Mula, Josefa
AU - Poler, Raúl
AU - Lario, Francisco C.
PY - 2010
Y1 - 2010
N2 - Fulfilling the order requirements from costumers at the right time and with minimum costs has been an important study approached by supply chain management researchers. One of the main aspects addressed is the replenishment process which considers demand forecasting, customer orders, inventory levels, and production and transport planning. Generally, replenishment processes are carried out traditionally by no considering sharing information among the nodes and neither by coordinating the transport planning with the production planning. With this in mind, this paper mainly focuses on proposing a novel decentralized collaborative replenishment model applied to the automobile sector in order to support the decision-making process among automobile supply chain decision-makers. This has been based on the replenishment information that is already used by supply chain members. This work hypothesizes that a collaborative replenishment process could imply a reduction in inventory levels and, in turn, in inventory costs, and that the number of trucks needed to support the replenishment process would be optimized.
AB - Fulfilling the order requirements from costumers at the right time and with minimum costs has been an important study approached by supply chain management researchers. One of the main aspects addressed is the replenishment process which considers demand forecasting, customer orders, inventory levels, and production and transport planning. Generally, replenishment processes are carried out traditionally by no considering sharing information among the nodes and neither by coordinating the transport planning with the production planning. With this in mind, this paper mainly focuses on proposing a novel decentralized collaborative replenishment model applied to the automobile sector in order to support the decision-making process among automobile supply chain decision-makers. This has been based on the replenishment information that is already used by supply chain members. This work hypothesizes that a collaborative replenishment process could imply a reduction in inventory levels and, in turn, in inventory costs, and that the number of trucks needed to support the replenishment process would be optimized.
KW - Collaborative decision-making process
KW - Collaborative replenishment
KW - Logistics
KW - Supply chain management
UR - https://www.scopus.com/pages/publications/77956047216
U2 - 10.3233/978-1-60750-577-8-583
DO - 10.3233/978-1-60750-577-8-583
M3 - Conference contribution
AN - SCOPUS:77956047216
SN - 9781607505761
T3 - Frontiers in Artificial Intelligence and Applications
SP - 583
EP - 593
BT - Bridging the Socio-Technical Gap in Decision Support Systems
PB - IOS Press
T2 - 15th IFIP WG8.3 International Conference on Decision Support Systems - Bridging the Socio-technical Gap in Decision Support Systems - Challenges for the Next Decade, DSS 2010
Y2 - 7 July 2010 through 10 July 2010
ER -