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Solving Two-Stage Multi-objective Transportation Problem Using Goal Programming and Its Application to Sustainable Development

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Computational Intelligence Methodologies Applied to Sustainable Development Goals

Part of the book series: Studies in Computational Intelligence ((SCI,volume 1036))

Abstract

In modern civilization, people are very fast and busy, and they try to achieve their goals in a short time. Most of the time, they do not consider the damage of nature to access their profits. In this regard, corporate world is moving based on use of technologies and machines. As a consequence, common people are losing their jobs in offices, factories, corn fields, etc. and living their life in anxiety and poverty. Every technology or machine is running by power of fuel, which produces pollution directly or indirectly to the nature. Misusing of technologies and machines for better profit cause high rate of pollution day by day. Now it is the time to recover the nature for sustaining human life in earth along with the consideration of removing among unemployment of youths. In this study, we incorporate a two-stage Multi-Objective Transportation Problem (MOTP) and solve it through goal programming. Considering goals corresponding to the objective functions of both stages, we solve two-stage MOTP and then derive Pareto-optimal solution. Thereafter, a numerical example based on a real life scenario is presented to show the effectiveness of the study in sustainable development. Finally, conclusions and future directions are presented regarding the present study.

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Author information

Authors and Affiliations

  1. Department of Applied Mathematics with Oceanology and Computer Programming, Vidyasagar University, Midnapore, 721102, West Bengal, India

    Gurupada Maity & Sankar Kumar Roy

Authors
  1. Gurupada Maity
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  2. Sankar Kumar Roy
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Editor information

Editors and Affiliations

  1. Department of Computer Science and Artificial Intelligence, University of Granada, Granada, Spain

    José Luis Verdegay

  2. Department of Engineering of Systems, University of La Laguna, San Cristóbal de La Laguna, Spain

    Julio Brito

  3. Department of Computer Science and Artificial Intelligence, University of Granada, Granada, Spain

    Carlos Cruz

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Maity, G., Roy, S.K. (2022). Solving Two-Stage Multi-objective Transportation Problem Using Goal Programming and Its Application to Sustainable Development. In: Verdegay, J.L., Brito, J., Cruz, C. (eds) Computational Intelligence Methodologies Applied to Sustainable Development Goals. Studies in Computational Intelligence, vol 1036. Springer, Cham. https://doi.org/10.1007/978-3-030-97344-5_18

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