Operational model for planning the harvest and distribution of perishable agricultural products

被引:171
作者
Ahumada, Omar [1 ]
Villalobos, J. Rene [1 ]
机构
[1] Arizona State Univ, Int Logist & Prod Improvement Lab, Sch Comp Informat & Decis Syst Engn, Tempe, AZ 85069 USA
关键词
Agricultural planning; Agricultural logistics; Mixed integer programming; Perishable products; Operational planning; TOMATO-GROWTH; SUPPLY CHAIN; QUALITY;
D O I
10.1016/j.ijpe.2011.05.015
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
This paper presents an operational model that generates short term planning decisions for the fresh produce industry. In particular, the application developed helps the grower to maximize his revenues by making production and distribution decisions during the harvest season. The main motivation for this model comes from the fact that the profitability of producers is highly dependent on the handling of short term planning in the harvest season. Some of the factors affecting profitability include the management of labor costs, the preservation of the value of perishable crops, and the use transportation modes that provide the best trade-off between time (quality of products) and cost. These issues are interrelated, and their judicious management is fundamental for attaining good financial results. The results of the proposed planning model indicate that significant savings can be obtained by managing the trade-off of the freshness at the delivery of the product with the added labor and transportation cost at the grower's side. Moreover the results also show that dynamic, information based, management practices might be preferred over traditional practices based in fixed labor allocation and distribution practices. (C) 2011 Elsevier B.V. All rights reserved.
引用
收藏
页码:677 / 687
页数:11
相关论文
共 27 条
[1]   A tactical model for planning the production and distribution of fresh produce [J].
Ahumada, Omar ;
Villalobos, J. Rene .
ANNALS OF OPERATIONS RESEARCH, 2011, 190 (01) :339-358
[2]   Application of planning models in the agri-food supply chain: A review [J].
Ahumada, Omar ;
Villalobos, J. Rene .
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2009, 196 (01) :1-20
[3]  
Ahumada Omar, 2008, THESIS ARIZONA STATE
[4]   Controlling the risk for an agricultural harvest [J].
Allen, Stuart J. ;
Schuster, Edmund W. .
Manufacturing and Service Operations Management, 2004, 6 (03) :225-236
[5]  
CALVIN L, 2001, 795 USDA
[6]   An optimization approach for scheduling wine grape harvest operations [J].
Ferrer, Juan-Carlos ;
Mac Cawley, Alejandro ;
Maturana, Sergio ;
Toloza, Sergio ;
Vera, Jorge .
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, 2008, 112 (02) :985-999
[7]  
Gary Christian., 2001, FOOD PROCESS MODELIN, P201
[8]   The impact of biological variation on postharvest behaviour of tomato fruit [J].
Hertog, MLATM ;
Lammertyn, J ;
Desmet, M ;
Scheerlinck, N ;
Nicolaï, BM .
POSTHARVEST BIOLOGY AND TECHNOLOGY, 2004, 34 (03) :271-284
[9]   Dry matter partitioning in tomato: Validation of a dynamic simulation model [J].
Heuvelink, E .
ANNALS OF BOTANY, 1996, 77 (01) :71-80
[10]  
JOHNSON D, 2006, ERR30 USDA