TY - JOUR
T1 - Inventory sharing via circular bidirectional chaining
AU - Smirnov, Dina
AU - Gerchak, Yigal
N1 - Publisher Copyright:
© 2016 Elsevier B.V. All rights reserved.
PY - 2016/9/1
Y1 - 2016/9/1
N2 - We investigate a lean inventory sharing strategy, called "Circular Bidirectional Chaining" (BDC), in a single period setting, and quantify the difference between the performance of BDC and the performance of other inventory sharing strategies for normally distributed demands. Under BDC all the locations, each facing stochastic demand, are connected in a closed loop, such that each location is allowed to cooperate laterally with exactly two adjacent locations. A location is not allowed to serve as a source and a sink of material at the same time. To consider BDC vis-à-vis other strategies, one must first optimize the proposed BDC strategy. Managing the BDC consists of two problems: determining the optimal order quantities, and, for given order quantities and demand realizations, determining how should items be transshipped. The former is a stochastic planning problem with recourse, solved via simulation-based optimization, while the latter, which is the recourse part of the former, can be interpreted as a transportation problem. Sensitivity analysis with respect to problem parameters is provided. It turns out that BDC can achieve a considerable portion of the benefits of complete pooling in around 65% of the cases, while the cost required to enable cooperation via BDC is lower than that of complete pooling.
AB - We investigate a lean inventory sharing strategy, called "Circular Bidirectional Chaining" (BDC), in a single period setting, and quantify the difference between the performance of BDC and the performance of other inventory sharing strategies for normally distributed demands. Under BDC all the locations, each facing stochastic demand, are connected in a closed loop, such that each location is allowed to cooperate laterally with exactly two adjacent locations. A location is not allowed to serve as a source and a sink of material at the same time. To consider BDC vis-à-vis other strategies, one must first optimize the proposed BDC strategy. Managing the BDC consists of two problems: determining the optimal order quantities, and, for given order quantities and demand realizations, determining how should items be transshipped. The former is a stochastic planning problem with recourse, solved via simulation-based optimization, while the latter, which is the recourse part of the former, can be interpreted as a transportation problem. Sensitivity analysis with respect to problem parameters is provided. It turns out that BDC can achieve a considerable portion of the benefits of complete pooling in around 65% of the cases, while the cost required to enable cooperation via BDC is lower than that of complete pooling.
KW - Chaining
KW - Inventory pooling
KW - Lateral transshipment
KW - Simulation-based optimization
KW - Supply chain management
UR - http://www.scopus.com/inward/record.url?scp=84975034886&partnerID=8YFLogxK
U2 - 10.1016/j.ijpe.2016.06.012
DO - 10.1016/j.ijpe.2016.06.012
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AN - SCOPUS:84975034886
SN - 0925-5273
VL - 179
SP - 141
EP - 152
JO - International Journal of Production Economics
JF - International Journal of Production Economics
ER -