A tactical model for planning the production and distribution of fresh produce
We present an integrated tactical planning model for the production and distribution of fresh produce. The main objective of the model is to maximize the revenues of a producer that has some control over the logistics decisions associated with the distribution of the crop. The model is used for maki...
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Published in | Annals of operations research Vol. 190; no. 1; pp. 339 - 358 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
Boston
Springer US
01.10.2011
Springer Springer Nature B.V |
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Abstract | We present an integrated tactical planning model for the production and distribution of fresh produce. The main objective of the model is to maximize the revenues of a producer that has some control over the logistics decisions associated with the distribution of the crop. The model is used for making planning decisions for a large fresh produce grower in Northwestern Mexico. The decisions obtained are based on traditional factors such as price estimation and resource availability, but also on factors that are usually neglected in traditional planning models such as price dynamics, product decay, transportation and inventory costs. The model considers the perishability of the crops in two different ways, as a loss function in its objective function, and as a constraint for the storage of products. The paper presents a mixed integer programming model used to implement the problem as wells as the computational results obtained from it. |
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AbstractList | We present an integrated tactical planning model for the production and distribution of fresh produce. The main objective of the model is to maximize the revenues of a producer that has some control over the logistics decisions associated with the distribution of the crop. The model is used for making planning decisions for a large fresh produce grower in Northwestern Mexico. The decisions obtained are based on traditional factors such as price estimation and resource availability, but also on factors that are usually neglected in traditional planning models such as price dynamics, product decay, transportation and inventory costs. The model considers the perishability of the crops in two different ways, as a loss function in its objective function, and as a constraint for the storage of products. The paper presents a mixed integer programming model used to implement the problem as wells as the computational results obtained from it.[PUBLICATION ABSTRACT] We present an integrated tactical planning model for the production and distribution of fresh produce. The main objective of the model is to maximize the revenues of a producer that has some control over the logistics decisions associated with the distribution of the crop. The model is used for making planning decisions for a large fresh produce grower in Northwestern Mexico. The decisions obtained are based on traditional factors such as price estimation and resource availability, but also on factors that are usually neglected in traditional planning models such as price dynamics, product decay, transportation and inventory costs. The model considers the perishability of the crops in two different ways, as a loss function in its objective function, and as a constraint for the storage of products. The paper presents a mixed integer programming model used to implement the problem as wells as the computational results obtained from it. We present an integrated tactical planning model for the production and distribution of fresh produce. The main objective of the model is to maximize the revenues of a producer that has some control over the logistics decisions associated with the distribution of the crop. The model is used for making planning decisions for a large fresh produce grower in Northwestern Mexico. The decisions obtained are based on traditional factors such as price estimation and resource availability, but also on factors that are usually neglected in traditional planning models such as price dynamics, product decay, transportation and inventory costs. The model considers the perishability of the crops in two different ways, as a loss function in its objective function, and as a constraint for the storage of products. The paper presents a mixed integer programming model used to implement the problem as wells as the computational results obtained from it. Keywords Production and distribution planning * Perishable products * Linear programming |
Audience | Academic |
Author | Villalobos, J. Rene Ahumada, Omar |
Author_xml | – sequence: 1 givenname: Omar surname: Ahumada fullname: Ahumada, Omar organization: Department of Industrial Engineering, Arizona State University – sequence: 2 givenname: J. Rene surname: Villalobos fullname: Villalobos, J. Rene email: Rene.villalobos@asu.edu organization: Department of Industrial Engineering, Arizona State University |
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SubjectTerms | Agricultural production Agriculture Business and Management Combinatorics Costs Crops Decay Decisions Distribution Distribution costs Harvest Integer programming Linear programming Mathematical analysis Mathematical models Mixed integer Operations research Operations Research/Decision Theory Perishable goods Planning Programming Studies Supply chains Theory of Computation Transportation |
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Title | A tactical model for planning the production and distribution of fresh produce |
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