Title
Developing model-based software to optimise wheat storage and transportation: A real-world application
Abstract
This paper investigates a real-world case of a logistical management problem. We determine the optimal amounts of wheat to be transported from each producing province to each consuming province per month across the year. The problem was formulated as a linear integer programming (LIP) model, which could then be solved using LINGO optimisation software. As the LIP model needs to be run each month, a genetic algorithm (GA) was developed to solve the real-size problems in a reasonable time period. The solutions obtained by LINGO are compared with those obtained from the GA and the results show that the developed GA is efficient in terms of computational time and the quality of the solutions obtained.
Year
DOI
Venue
2013
10.1016/j.asoc.2012.10.002
Appl. Soft Comput.
Keywords
Field
DocType
wheat storage,consuming province,model-based software,genetic algorithm,computational time,real-world application,lip model,logistical management problem,developed ga,reasonable time period,lingo optimisation software,linear integer programming,real-size problem,transportation,applied mathematics,agriculture,inventory
Mathematical optimization,Software,Integer programming,Artificial intelligence,Machine learning,Genetic algorithm,Mathematics
Journal
Volume
Issue
ISSN
13
2
1568-4946
Citations 
PageRank 
References 
9
0.54
3
Authors
4
Name
Order
Citations
PageRank
Nasrin Asgari1966.05
Reza Zanjirani Farahani250226.73
Hannaneh Rashidi-Bajgan3784.37
Mohsen S. Sajadieh4385.96