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Application of intelligent logistics inventory optimization algorithm based on digital supply chain

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Veröffentlicht/Copyright: 24. Oktober 2022
International Journal of Emerging Electric Power Systems
Aus der Zeitschrift International Journal of Emerging Electric Power Systems Band 24 Heft 1

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.

Keywords: digital supply chain; inventory management; inventory optimization algorithm; smart logistics
Corresponding author: Dongming Lin, Shenzhen Power Supply Bureau Co., Ltd., Shenzhen 518000, Guangdong, China, E-mail:

  1. Author contributions: All the authors have accepted responsibility for the entire content of this submitted manuscript and approved submission.

  2. Research funding: None declared.

  3. Conflict of interest statement: The authors declare no conflicts of interest regarding this article.

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Received: 2022-04-28
Accepted: 2022-09-27
Published Online: 2022-10-24

© 2022 Walter de Gruyter GmbH, Berlin/Boston

Artikel in diesem Heft

  1. Frontmatter
  2. Review
  3. A review of energy saving routing schemes for WSN assisted IoT network
  4. Research Articles
  5. 3D sensor network location spatial positioning technology based on machine learning
  6. Target location service system in microgrid operation based on internet of things
  7. Real-time measurement and control system based on automation technology under the background of network environment
  8. Fast screening method for important transmission lines in electrical power system
  9. Application of intelligent logistics inventory optimization algorithm based on digital supply chain
  10. Information visualization method for intelligent construction of prefabricated buildings based on P-ISOMAP algorithm
  11. Power system abnormal pattern detection for new energy big data
  12. Pricing quantitative model design of distribution network assets REITs products and ABS products
https://doi.org/10.1515/ijeeps-2022-0128
Schlagwörter für diesen Artikel
digital supply chain; inventory management; inventory optimization algorithm; smart logistics

Artikel in diesem Heft

  1. Frontmatter
  2. Review
  3. A review of energy saving routing schemes for WSN assisted IoT network
  4. Research Articles
  5. 3D sensor network location spatial positioning technology based on machine learning
  6. Target location service system in microgrid operation based on internet of things
  7. Real-time measurement and control system based on automation technology under the background of network environment
  8. Fast screening method for important transmission lines in electrical power system
  9. Application of intelligent logistics inventory optimization algorithm based on digital supply chain
  10. Information visualization method for intelligent construction of prefabricated buildings based on P-ISOMAP algorithm
  11. Power system abnormal pattern detection for new energy big data
  12. Pricing quantitative model design of distribution network assets REITs products and ABS products
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