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A combined tactical and operational deterministic food grain transportation model: particle swarm based optimization approach

  • Lohithaksha Maiyar
    ,
  • Jitesh J. Thakkar
Research Output: Contribution to journal Article Peer-review

Abstract

This paper proposes a combined tactical and operational two stage food grain transportation model with linear formulation in the first stage and a mixed-integer non-linear problem (MINLP) in the second stage taking the case of India. Transportation cost is minimized in both stages to fulfil a deterministic demand. First and the second stages correspond to the movement of food grains in between state and central level warehouses respectively. A novel k-parameter based method of constraint handling has been proposed. Further, the two stage MINLP formulation newly incorporates vehicle capacity constraints and proposes a generic metric for measuring vehicle utilization. First stage is solved by CPLEX and for the second stage, two population based random search techniques: Particle swarm optimization-composite particle (PSOCP) and PSO, have been employed. Experimentations on 10 different problem sets reveal that PSOCP performs marginally better than PSO with lesser standard deviation of global fitness and better solution quality with slightly higher CPU time. Later, sensitivity analysis is conducted on all ten problem sets and a decision support framework is proposed to assist potential stakeholders.

Publication Information

Output type

Research Output: Contribution to journal Article Peer-review

Original language

English

Pages from-to (Number of pages)

Pages 30-42

Journal (Volume, Issue Number)

Computers and Industrial Engineering (Volume 110)

Publication milestones

  • Accepted/In press - 19/05/2017
  • Published - 22/05/2017

Publication status

Published - 22/05/2017

ISSN

0360-8352

External Publication IDs

  • handle.net: 10547/624668
  • Scopus: 85019972884

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