Innovation of Marketing Supply Chain Management Model Based on SICAS Modeling

被引:0
|
作者
Mao R. [1 ]
Liu Y. [1 ]
Yang Y. [2 ,3 ]
机构
[1] Yunnan Technology and Business University, Landscape Avenue, New Vocational Education Town, Songming, Yunnan, Kunming
[2] School of Business and Economics, Universiti Putra Malaysia, Selangor, Serdang
[3] Business School, Yunnan College of Business Management, Vocational Education Park, Anning, Yunnan, Kunming
关键词
Collaborative optimization model; Evolutionary algorithm; Optimal solution ranking; SICAS; Supply chain management;
D O I
10.2478/amns-2024-0124
中图分类号
学科分类号
摘要
The marketing service system is not perfect enough to highlight the competitive advantages of enterprises, and improving the marketing supply chain management mode is an inevitable trend under the change of the market economic environment. The marketing supply chain management model proposed in this paper is based on the SICAS model to respond quickly to market and customer demand. A collaborative optimization model of the supply chain based on virtual inventory management is constructed to ensure the normal operation of the whole supply chain by deploying flexible inventory in the hands of customers, and the constructed model is solved by using an evolutionary algorithm based on indexes and an optimal solution sorting method based on regret theory. The feasibility and scientificity of the proposed management model are verified by analyzing the effect of applying the management model to J and S e-commerce companies and analyzing consumer evaluation. The results show that from 2014 to 2022, the purchasing cost of J e-commerce enterprises decreased by 0.0307 as a proportion of operating income, the inventory turnover ratio increased by 0.0869, the marketing cost and logistics cost increased by 189 million yuan and 3,878 million yuan, respectively, and the supply chain cost was effectively managed. At the same time, the consumer evaluation score of the marketing supply chain management model based on SICAS model is 3.608±0.043 points; the user experience is good, to a certain extent, to enhance the competitive advantage of the enterprise. © 2023 Rui Mao, Youwei Liu and Yida Yang, published by Sciendo.
引用
收藏
相关论文
共 50 条
  • [31] EVALUATION OF INNOVATION EFFICIENCY OF SUPPLY CHAIN MANAGEMENT IN CHINESE LISTED RETAIL ENTERPRISES BASED ON DEA MODEL
    Cheng, Guang
    Luo, Fusheng
    Lan, Jiahao
    TRANSFORMATIONS IN BUSINESS & ECONOMICS, 2024, 23 (3A):
  • [32] Innovation of the Marketing Management Based on the Project Management
    Yin, Xiaoyue
    Wang, Juan
    Chen, Yunqi
    2016 ISSGBM INTERNATIONAL CONFERENCE ON INFORMATION, COMMUNICATION AND SOCIAL SCIENCES (ISSGBM-ICS 2016), PT 3, 2016, 68 : 243 - 247
  • [33] Empirical Study on Critical Factors of Enterprise Microblog Marketing Based on SICAS Model
    Peng, Wenting
    PROCEEDINGS OF 2013 INTERNATIONAL CONFERENCE ON SPORTS MEDICINE AND SPORTS MANAGEMENT (SMSM 2013), VOL 1, 2013, 1 : 476 - 480
  • [34] An advanced supply chain management tool based on modeling and simulation
    Longo, Francesco
    Mirabelli, Giovanni
    COMPUTERS & INDUSTRIAL ENGINEERING, 2008, 54 (03) : 570 - 588
  • [35] Modeling and analysis of supply chain management platform based on web
    Jiang, Minghua
    Zhang, Xuejing
    Hu, Ming
    ADVANCING SCIENCE THROUGH COMPUTATION, 2008, : 213 - 216
  • [36] Agent-based Supply Chain Management Modeling and Simulation
    Tang, Zaiyong
    Pan, Youqin
    2014 IEEE INTERNATIONAL CONFERENCE ON INFORMATION AND AUTOMATION (ICIA), 2014, : 1255 - 1259
  • [37] Supply chain management model based on machine learning
    Guanghui Yuan
    Shan Wu
    Bin Wang
    Neural Computing and Applications, 2023, 35 : 4319 - 4335
  • [38] A Model of Engineering Project Management Based on Supply Chain
    Wu Chengfeng
    Zhang Qingpu
    PROCEEDINGS OF 2008 INTERNATIONAL CONFERENCE ON CONSTRUCTION & REAL ESTATE MANAGEMENT, VOLS 1 AND 2, 2008, : 316 - 319
  • [39] Supply chain management model based on machine learning
    Yuan, Guanghui
    Wu, Shan
    Wang, Bin
    NEURAL COMPUTING & APPLICATIONS, 2023, 35 (06): : 4319 - 4335
  • [40] Is Love Extendable to Relationship Marketing and Supply Chain Management?
    Madadi, Rozbeh
    Torres, Ivonne M.
    Zuniga, Miguel Angel
    SERVICES MARKETING QUARTERLY, 2022, 43 (03) : 374 - 388