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Robust optimisation of sustainable food grain transportation with uncertain supply and intentional disruptions

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

Open access

Sustainable Development Goals

  • SDG 12 - Responsible Consumption and Production
    SDG 12 Responsible Consumption and Production

Abstract

The proliferating need for sustainability intervention in food grain transportation planning is anchoring the attention of researchers in the interests of stakeholders and environment at large. Uncertainty associated with food grain supply further intensifies the problem steering the need for designing robust, cost-efficient and sustainable models. In line with this, this paper aims to develop a robust and sustainable intermodal transportation model to facilitate single type of food grain commodity shipments while considering procurement uncertainty, greenhouse gas emissions, and intentional hub disruption. The problem is designed as a mixed integer non-linear robust optimisation model on a hub and spoke network for evaluating near optimal shipment quantity, route selection and hub location decisions. The robust optimisation approach considers minimisation of total relative regret associated with total cost subject to several real-time constraints. A version of Particle Swarm Optimisation with Differential Evolution is proposed to tackle the resulting NP-hard problem. The model is tested with two other state-of the art meta-heuristics for small, medium, and large datasets subject to different procurement scenarios inspired from real time food grain operations in Indian context. Finally, the solution is evaluated with respect to total cost, model and solution robustness for all instances.

Publication Information

Output type

Research Output:
Contribution to journal
Article
 Peer-review

Original language

English

Pages from-to (Number of pages)

Pages 5651-5675

Journal (Volume, Issue Number)

International Journal of Production Research (Volume 58, Issue 18)

Publication milestones

  • Accepted/In press - 30/07/2019
  • Published - 09/09/2019

Publication status

Published - 09/09/2019

ISSN

0020-7543

Publication IDs

  • handle.net: 10547/624247
  • Scopus: 85073782482

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