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2020 | OriginalPaper | Chapter

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

Authors : Ajay Singh Yadav, Anupam Swami, Navin Ahlawat, Sharat Sharma

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

Publisher: Springer International Publishing

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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.

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Metadata
Title
Green Supply Chain Management of Chemical Industrial Development for Warehouse and its Impact on the Environment Using Artificial Bee Colony Algorithm: A Review Articles
Authors
Ajay Singh Yadav
Anupam Swami
Navin Ahlawat
Sharat Sharma
Copyright Year
2020
Publisher
Springer International Publishing
DOI
https://doi.org/10.1007/978-3-030-41862-5_23

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