TY - JOUR
T1 - A lagrangian relaxation approach to simultaneous strategic and tactical planning in supply chain design
AU - Diabat, Ali
AU - Richard, Jean Philippe
AU - Codrington, Craig W.
N1 - Funding Information:
The Robert Wood Johnson Foundation supported Dr. Langa as a Robert Wood Johnson Clinical Scholar during part of the time that this work was performed. Additional support was provided by grants from the Michigan Alzheimer’s Disease Research Center, Michigan Center on the Demography of Aging, Aetna Quality Care Research Fund, and Merck and Company, Inc. The National Institute on Aging provided funding for the Asset and Health Dynamics (AHEAD) Study (No. U01 AG09740), data from which were used in this analysis
PY - 2013/3
Y1 - 2013/3
N2 - We study a multi-echelon joint inventory-location model that simultaneously determines the location of warehouses and inventory policies at the warehouses and retailers. The model is formulated as a nonlinear mixed-integer program, and is solved using a Lagrangian relaxation-based approach. The efficiency of the algorithm and benefits of integration are evaluated through a computational study.
AB - We study a multi-echelon joint inventory-location model that simultaneously determines the location of warehouses and inventory policies at the warehouses and retailers. The model is formulated as a nonlinear mixed-integer program, and is solved using a Lagrangian relaxation-based approach. The efficiency of the algorithm and benefits of integration are evaluated through a computational study.
KW - Facility location
KW - Joint inventory-location
KW - Lagrangian relaxation
KW - Supply chain management
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U2 - 10.1007/s10479-011-0915-2
DO - 10.1007/s10479-011-0915-2
M3 - Article
AN - SCOPUS:84887690162
SN - 0254-5330
VL - 203
SP - 55
EP - 80
JO - Annals of Operations Research
JF - Annals of Operations Research
IS - 1
ER -