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Productivity improvement of an eco friendly warehouse using multi objective optimal robot trajectory planning

Author

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  • S. Mahalakshmi
  • A. Arokiasamy
  • J. Fakrudeen Ali Ahamed

Abstract

Production of environment is one of the top rated objectives of all countries. 10% emission of CO2 in the world is from logistics industries due to freight transports and warehousing operations. Green logistics is an important step to minimise ecological impacts of the logistics operations. Green environment in a warehouse plays a mandatory role in green logistics. Automation, robotics and smart systems give a good contribution in making the warehouse environment clean and green. A method for productivity improvement of a green warehouse using multi objective optimal trajectory planning of a warehouse robot is proposed in this paper. Mixed load palletising operation (build-to-order palletising) is considered. Two multi objective optimisation algorithms such as multi objective particle swarm optimisation (MOPSO) and multi objective differential evolution (MODE) are used. A numerical example on an Industrial robot (MTAB ARISTO 6XT robot) is presented. An economic and productivity analysis is carried out. The obtained results proved that the multi objective optimisation on warehouse robot trajectory planning enhances supply chain productivity and profits.

Suggested Citation

  • S. Mahalakshmi & A. Arokiasamy & J. Fakrudeen Ali Ahamed, 2019. "Productivity improvement of an eco friendly warehouse using multi objective optimal robot trajectory planning," International Journal of Productivity and Quality Management, Inderscience Enterprises Ltd, vol. 27(3), pages 305-328.
    • Handle: RePEc:ids:ijpqma:v:27:y:2019:i:3:p:305-328
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    Cited by:

    1. Santosh B. Rane & Sandesh Wavhal & Prathamesh R. Potdar, 2023. "Integration of Lean Six Sigma with Internet of Things (IoT) for productivity improvement: a case study of contactor manufacturing industry," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 14(5), pages 1990-2018, October.

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