STEMM Institute Press
Science, Technology, Engineering, Management and Medicine
W Company's Supply Chain Network Restructuring and Inventory Control Optimization Research
DOI: https://doi.org/10.62517/jbm.202409403
Author(s)
Weixuan Hu, Pianpian Cheng
Affiliation(s)
Wuhan Technical College of Communications, Wuhan, Hubei, China
Abstract
The paper analyzes and optimizes the supply chain network and inventory management of W Company, improves the operational efficiency and reduces costs, and provides reference for the supply chain network reconstruction and inventory control optimization under the complex economic environment. In the process of constructing the supply chain network optimization model of W Company, this paper integrated 2,316 shipping records and 100,645 customer order data to ensure that the fulfillment of each order can be accurately tracked. By matching the quantity of products and services in the shipping record with the demand in the customer order, the consistency of the total inflow and outflow of RDC was verified, thus ensuring the balance of supply chain flow. Further, this paper analyzed 5,091 types of transport matrix data to evaluate the transportation route, cost and time from the regional distribution center (RDC) to the customer. Analysis of these data is essential to optimize the logistics path and reduce transportation costs.
Keywords
Supply Chain Network; Inventory Optimization; Cost Control; Baseline Model; Logistics Efficiency
References
[1] Wu Q, Yao Y X. Enterprise Digital Transformation and Supply Chain Reconstruction: Theoretical Logic, Practical Obstacles and Policy Path. Journal of Northwestern Polytechnical University (Social Sciences).2024(7):65-70. [2] Wang D P, Zhang K, Zhou Y. Differential game of reverse supply chain considering technological innovation under perspective of competition. Control and Decision. 2023, 38(9):189-195. [3] Zhou F L, Chen T F, He Y D, et al. Pricing of end-of-life vehicle recycling and remanufacturing considering risk aversion. Computer Integrated Manufacturing Systems. 2023, 29(11):35-41. [4] Chen F Y, Chen Q R, Li Q W. Policy effects of the compulsory classification of domestic waste in Chinese cities based on the synthetic control method. China Population, Resources and Environment. 2022, 32(8):99-106. [5] Sun D S, Xie D L, Jiang P, et al. Simulating the effect of mixed subsidy policies on urban low-value recyclable waste in China: A system dynamics approach. International Journal of Environmental Research and Public Health. 2021, 18(20):11-18. [6] Du H Z, Zhang T, Liu F R. Is the “one size fits all” subsidy standard based on waste disposal fee suitable for the low value recyclable waste? —— testing from shanghai. Journal of Zhejiang Gongshang University. 2021(1):110-115. [7] Wang X J, Yuan S Q, Lin Z Z, et al. Research on incentive mechanism of PPP project under dual information asymmetry based on fair preference. Chinese Journal of Management Science. 2021, 29(10):76-82. [8] Du H Z, Lu Z, Song S W, et al. The development trend of the international resource recycling industry under the “Carbon Peaking and Carbon Neutrality” goals and China’s response. Macroeconomics. 2022, (7):11-17. [9] Ma X P, Liu Z, Li B Y, et al. Game models of closed-loop supply chain under different warranty modes considering retailer’s fairness concerns. Control and Decision. 2021, 36(6):135-141.
Copyright @ 2020-2035 STEMM Institute Press All Rights Reserved