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  • Open Access

    ARTICLE

    Financing Strategy of Low-Carbon Supply Chain with Capital Constraint under Cap-and-Trade Regulation

    Changli Lu1, Ming Zhao1,2, Imran Khan3, Peerapong Uthansakul4,*

    CMC-Computers, Materials & Continua, Vol.66, No.1, pp. 437-455, 2021, DOI:10.32604/cmc.2020.012557

    Abstract Cap-and-trade regulation provides incentives for manufacturers to reduce carbon emissions, but manufacturers’ insufficient capital can disrupt the implementation of low-carbon emission reduction technologies. To alleviate capital constraints, manufacturers can adopt external financing for low-carbon emission reduction investments. This paper studies the independent financing and financing cooperation behavior in a supply chain in which the manufacturer and retailer first implement low-carbon emission reduction technologies and then organize production and sales in accordance with wholesale price contracts. Through comparing the optimal profits and low-carbon emission reduction levels under the independent financing and financing cooperation mode, we come to the following conclusions: (1)… More >

  • Open Access

    ARTICLE

    "Data Mining of Urban New Energy Vehicles in an Intelligent Government Subsidy Environment Using Closed-Loop Supply Chain Pricing Model"

    Jing-Hua Zhao1,†, Da-Lin Zeng2,*, Ting-Wei Zhou1,‡, Ze-Chao Zhu1,§

    Computer Systems Science and Engineering, Vol.35, No.3, pp. 151-172, 2020, DOI:10.32604/csse.2020.35.151

    Abstract Given the government subsidies for new energy vehicles, this study is conducted to study the closed-loop supply chain comprising individual manufacturers, individual retailers and individual third-party recyclers. In this paper, combine the reality of new energy vehicles with the relevant research of game theory, and establish an no government subsidy model (Model N), a government subsidized consumer model (Model C), a government subsidized manufacturer model (Model M), a government subsidized third party recycler model (Model T), and a government subsidized retailer model (Model R) for quantitative research. Then, numerical examples are used to simulate the impact of government subsidies on… More >

  • Open Access

    ARTICLE

    Analysis of Factors Affecting the Profits of Closed-Loop Supply Chain Members Under Different Subsidy Objects

    Jing-Hua Zhao1,†, Da-Lin Zeng2,*, Ting-Wei Zhou1,‡, Yan Hui3,§, Na Sun1,¶

    Computer Systems Science and Engineering, Vol.35, No.3, pp. 127-139, 2020, DOI:10.32604/csse.2020.35.127

    Abstract Based on the research hypothesis in a fully competitive closed-loop supply chain for mixed recycling channels, different closed-loop supply chain pricing models are established for the government’s strategy of adopting different subsidies (consumers, retailers, manufacturers or third-party recyclers). In this work, we use game theory to establish a price formula, and identify the factors affecting the profit of five closed-loop supply chain members. Through solution verification, the sales channel pricing, the recycling channel pricing and the channel member profit change of the closed-loop supply chain under different subsidy objects are compared after changing only one influencing factor. By providing a… More >

  • Open Access

    ARTICLE

    Research on the Product Logistics Cost Control Strategy Based on the Multi-Source Supply Chain Theory

    Chun Di*

    Intelligent Automation & Soft Computing, Vol.26, No.3, pp. 557-567, 2020, DOI:10.32604/iasc.2020.013934

    Abstract In response to the rapidly changing market environment and adapting to many impacts such as political, economic and technological conditions, supply chain managers are increasingly demanding a high-speed and efficient way to adjust the design to optimize the supply chain structure. In order to facilitate the participating companies in the supply chain to quickly and effectively implement the supply chain design optimization strategy, improve the competitiveness of enterprises and the ability of the entire supply chain to resist risks. Enterprises have gradually reduced the space for enhancing the competitive advantage by reducing raw material consumption, labor costs and increasing production… More >

  • Open Access

    ARTICLE

    Modeling of a Fuzzy Expert System for Choosing an Appropriate Supply Chain Collaboration Strategy

    Kazim Sari

    Intelligent Automation & Soft Computing, Vol.24, No.2, pp. 405-412, 2018, DOI:10.1080/10798587.2017.1352258

    Abstract Nowadays, there has been a great interest for business enterprises to work together or collaborate in the supply chain. It is thus possible for them to gain a competitive advantage in the marketplace. However, determining the right collaboration strategy is not an easy task. Namely, there are several factors that need to be considered at the same time. In this regard, an expert system based on fuzzy rules is proposed to choose an appropriate collaboration strategy for a given supply chain. To this end, firstly, the factors that are significant for supply chain collaboration are extracted via an extensive review… More >

  • Open Access

    ARTICLE

    A Food Traceability Framework Based on Permissioned Blockchain

    Jiuliang Liu1,*, Xingming Sun1, Ke Song2

    Journal of Cyber Security, Vol.2, No.2, pp. 107-113, 2020, DOI:10.32604/jcs.2020.011222

    Abstract In recent years, food safety problems have become increasingly serious. The traditional supply chain traceability solution faces some serious problems, such as centralization, data tampering, and high communication costs. To solve these problems, this paper proposes a food traceability framework based on permissioned blockchain. The proposed framework is decentralized, and the supply chain data of the framework cannot be tampered with. The framework divides supply chain entities into five organizations, and each organization deploys its own chaincode onto the blockchain. The chaincode specifies the query permission of each organization, which can effectively protect the user’s sensitive information. The PBFT consensus… More >

  • Open Access

    ARTICLE

    A Distributed Approach of Big Data Mining for Financial Fraud Detection in a Supply Chain

    Hangjun Zhou1, *, Guang Sun1, 2, Sha Fu1, Xiaoping Fan1, Wangdong Jiang1, Shuting Hu1, Lingjiao Li1

    CMC-Computers, Materials & Continua, Vol.64, No.2, pp. 1091-1105, 2020, DOI:10.32604/cmc.2020.09834

    Abstract Supply Chain Finance (SCF) is important for improving the effectiveness of supply chain capital operations and reducing the overall management cost of a supply chain. In recent years, with the deep integration of supply chain and Internet, Big Data, Artificial Intelligence, Internet of Things, Blockchain, etc., the efficiency of supply chain financial services can be greatly promoted through building more customized risk pricing models and conducting more rigorous investment decision-making processes. However, with the rapid development of new technologies, the SCF data has been massively increased and new financial fraud behaviors or patterns are becoming more covertly scattered among normal… More >

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