A bi-objective optimization model for tactical planning in the pome fruit industry supply chain

•The pome fruit supply chain is modeled and optimized for a one year business cycle.•Tactical planning involves storage, production and transportation decisions.•The considered objective functions are product supply shortage and profit.•The lexicographic approach is adopted to address the bi-objecti...

Full description

Saved in:
Bibliographic Details
Published in:Computers and electronics in agriculture 2016-11, Vol.130, p.128-141
Main Authors: Catalá, Luis P., Moreno, M. Susana, Blanco, Aníbal M., Bandoni, J. Alberto
Format: Article
Language:English
Subjects:
Decisions
Electronics
Fruits
Harvesting
Integer programming
Mathematical models
Mixed integer
Multi-objective
Multiple objective analysis
Optimization
Optimization models
Pears
Pome fruit industry
Shortages
Supply chain
Supply chain management
Supply chains
Tactical planning
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:•The pome fruit supply chain is modeled and optimized for a one year business cycle.•Tactical planning involves storage, production and transportation decisions.•The considered objective functions are product supply shortage and profit.•The lexicographic approach is adopted to address the bi-objective optimization.•Cold storage infrastructure plays a key role in the performance of the system. In this work, a multi-period mixed integer linear programming formulation for the medium-term planning of the apples and pears supply chain is presented. Given the supply chain structure, demand data, and harvesting dates, the proposed approach integrates production, processing, distribution, and inventory decisions considering two conflicting objectives: profit and product supply shortage. The mathematical model is solved by using the lexicographic method to deal with the multi-objective optimization. The system is analyzed in the face of changes in storage, processing and transportation capacities. Major results indicate that in order to minimize supply shortage (leading objective) in the second part of the season, beneficial trade opportunities have to be missed along the year with the consequent reduction in the total profit (subordinated objective). To illustrate the approach, a pome fruit industry located in the “Alto Valle de Río Negro y Neuquén” Argentine region is considered as a case study.
ISSN:0168-1699
1872-7107
DOI:10.1016/j.compag.2016.10.008