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

Ajay Singh Yadav, Anupam Swami, Navin Ahlawat and Sharat Sharma
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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

A chapter in New Trends in Computational Vision and Bio-inspired Computing, 2020, pp 257-265 from Springer

Abstract: 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.

Keywords: Green chemical supply chain; Green warehouses; Green inventory; Artificial bee colony algorithm (ABC); Economic order quantity and environment (search for similar items in EconPapers)
Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-030-41862-5_23

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DOI: 10.1007/978-3-030-41862-5_23

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