Abstract
Abstract Inventory is the core link of enterprise operation and an essential resource for enterprises to occupy the market. Therefore, optimizing the control and management of inventory is a necessary measure for enterprises to maintain their core competitiveness. However, at present, the optimization of the enterprise’s inventory is basically still at the single inventory level, which seriously shortens the life cycle of the enterprise’s products and reduces the speed of the enterprise’s capital flow. Digital supply chain is the digitization of traditional supply chain services, which can change the traditional thinking of inventory control and management, break down the barriers between enterprises and modern logistics, and build a complete management system for enterprises. Smart logistics is a product of the new era, and it is also a product of the development of the digital supply chain. To this end, this paper proposes an inventory optimization algorithm based on digital supply chain and smart logistics. The algorithm is optimized on the basis of the original inventory optimization scheme, so that the improved algorithm can be more suitable for actual inventory management needs. The experimental results of this paper show that the improved new inventory optimization algorithm improves the comprehensive benefit by 39.1% on the original basis, which can effectively reduce the error in the actual use process.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
More From: International Journal of Emerging Electric Power Systems
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.