TY - JOUR
T1 - Optimal wholesale facilities location within the fruit and vegetables supply chain with bimodal transportation options
T2 - An LP-MIP heuristic approach
AU - Etemadnia, Hamideh
AU - Goetz, Stephan J.
AU - Canning, Patrick
AU - Tavallali, Mohammad Sadegh
N1 - Funding Information:
Views presented here are those of the authors and do not necessarily reflect official policy of ERS, USDA, or Penn State University. Partial funding under USDA NIFA grant no. 2011-68004-30057 is gratefully acknowledged.
Publisher Copyright:
© 2015 Elsevier B.V.
PY - 2015/7/16
Y1 - 2015/7/16
N2 - Population growth creates a challenge to food availability and access. To balance supply with growing demand, more food has to move from production to consumption sites. Moreover, demand for locally-grown food is increasing and the U.S. Department of Agriculture (USDA) seeks to develop and strengthen regional and local food systems. This article examines wholesale facility (hub) locations in food supply chain systems on a national scale to facilitate the efficient transfer of food from production regions to consumption locations. It designs an optimal national wholesale or hub location network to serve food consumption markets through efficient connections with production sites. The mathematical formulation is a mixed integer linear programming (MILP) problem that minimizes total network costs which include costs of transporting goods and locating facilities. A scenario study is used to examine the model's sensitivity to parameter changes, including travel distance, hub capacity, transportation cost, etc. An application is made to the U.S. fruit and vegetable industry. We demonstrate how parameter changes affect the optimal locations and number of wholesale facilities.
AB - Population growth creates a challenge to food availability and access. To balance supply with growing demand, more food has to move from production to consumption sites. Moreover, demand for locally-grown food is increasing and the U.S. Department of Agriculture (USDA) seeks to develop and strengthen regional and local food systems. This article examines wholesale facility (hub) locations in food supply chain systems on a national scale to facilitate the efficient transfer of food from production regions to consumption locations. It designs an optimal national wholesale or hub location network to serve food consumption markets through efficient connections with production sites. The mathematical formulation is a mixed integer linear programming (MILP) problem that minimizes total network costs which include costs of transporting goods and locating facilities. A scenario study is used to examine the model's sensitivity to parameter changes, including travel distance, hub capacity, transportation cost, etc. An application is made to the U.S. fruit and vegetable industry. We demonstrate how parameter changes affect the optimal locations and number of wholesale facilities.
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U2 - 10.1016/j.ejor.2015.01.044
DO - 10.1016/j.ejor.2015.01.044
M3 - Article
AN - SCOPUS:84925299375
SN - 0377-2217
VL - 244
SP - 648
EP - 661
JO - European Journal of Operational Research
JF - European Journal of Operational Research
IS - 2
ER -