Developing model-based software to optimise wheat storage and transportation: A real-world application

  • Authors:

  • Nasrin Asgari;Reza Zanjirani Farahani;Hannaneh Rashidi-Bajgan;Mohsen S. Sajadieh

  • Affiliations:

  • Logistics and Management Mathematics Group, Department of Mathematics, University of Portsmouth, UK;Department of Informatics and Operations Management, Kingston Business School, Kingston University, UK;Young Researchers Club, Karaj Branch, Islamic Azad University, Alborz, Iran;Department of Industrial Engineering, Amirkabir University of Technology, Tehran, Iran

  • Venue:
  • Applied Soft Computing
  • Year:
  • 2013

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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.