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.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: International Journal of Ad Hoc and Ubiquitous Computing
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
