Hybrid meta-heuristic-based inventory management using block chain technology in cloud sector Online publication date: Tue, 11-Oct-2022
by Chinnaraj Govindasamy; Arokiasamy Antonidoss
International Journal of Ad Hoc and Ubiquitous Computing (IJAHUC), Vol. 41, No. 3, 2022
Abstract: This paper plans to develop an inventory management model in the supply chain with cloud and block chain assistance. This paper considers the inventory management of a supply chain that involves multiple suppliers, manufacturers, and distributers. The data management is done by the block chain technology, where each distributer holds a hash function to store its data, which cannot be restored by the other distributers. The proposed model intends to reduce the multi-objective inventory cost involving transaction cost, inventory holding cost, shortage cost, transportation cost, and time cost. The hybridisation of two meta-heuristic algorithms like spider monkey optimisation (SMO) and sea lion optimisation (SLnO) termed as spider monkey local leader-based sea lion optimisation algorithm (SMLL-SLnO) is used to improve the inventory management model. Finally, the feasibility and effectiveness of the proposed optimisation model are validated by comparing over the other traditional models.
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