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Green Supply Chain Management of Chemical Industrial Development for Warehouse and its Impact on the Environment Using Artificial Bee Colony Algorithm: A Review Articles

In: New Trends in Computational Vision and Bio-inspired Computing

Author

Listed:
  • Ajay Singh Yadav

    (SRM Institute of Science and Technology (Formerly Known as SRM University), Department of Mathematics)

  • Anupam Swami

    (Govt. P.G. College Sambhal, Department of Mathematics)

  • Navin Ahlawat

    (SRM Institute of Science and Technology (Formerly Known as SRM University), Department of Computer Science)

  • Sharat Sharma

    (SRM Institute of Science and Technology (Formerly Known as SRM University), Department of MBA)

Abstract

Green inventory policy of Green chemical Green warehouses is a very important issue because a Green chemical supply chain is directly related to human’s lives. Variables order quantity (VOQ), economic order quantity (EOQ), Time order quantity (TOQ), Disposal order quantity (DOQ) and Environment order quantity (EOQ) of inventory policies is widely used to manage the Green chemical stock in the present trend. However, effective management of Green chemical inventory is a difficult problem due to characteristics of the Green chemical. We proposed ABC (Artificial bee colony algorithm) based inventory policy for Green warehouses dealers in Green chemical supply chain. We also simulate the designed model to measure a performance of management policies. The proposed artificial bee colony algorithm (ABC) determines an optimal volume of products at the specific order time by using current stocks. Simulation results demonstrate that artificial bee colony algorithm ABC is an efficient method for Green warehouses inventory management and Green chemical supply chain.

Suggested Citation

  • Ajay Singh Yadav & Anupam Swami & Navin Ahlawat & Sharat Sharma, 2020. "Green Supply Chain Management of Chemical Industrial Development for Warehouse and its Impact on the Environment Using Artificial Bee Colony Algorithm: A Review Articles," Springer Books, in: S. Smys & Abdullah M. Iliyasu & Robert Bestak & Fuqian Shi (ed.), New Trends in Computational Vision and Bio-inspired Computing, pages 257-265, Springer.
    • Handle: RePEc:spr:sprchp:978-3-030-41862-5_23
    DOI: 10.1007/978-3-030-41862-5_23
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