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  • Open Access


    Improving Supply Chain Performance Through Supplier Selection and Order Allocation Problem

    Chia-Nan Wang1, Ming-Cheng Tsou2,*, Chih-Hung Wang3, Viet Tinh Nguyen4, Pham Ngo Thi Phuong5

    CMC-Computers, Materials & Continua, Vol.70, No.1, pp. 1667-1681, 2022, DOI:10.32604/cmc.2022.019833

    Abstract Suppliers play the vital role of ensuring the continuous supply of goods to the market for businesses. If businesses do not maintain a strong bond with their suppliers, they may not be able to secure a steady supply of goods and products for their customers. As a result of failure to deliver products, the production and business activities of the business can be delayed which leads to the loss of customers. Normally, each trading enterprise will have a variety of commodity supply chains with multiple suppliers. Suppliers play an important role and contribute to the value of the entire supply… More >

  • Open Access


    Customer Prioritization for Medical Supply Chain During COVID-19 Pandemic

    Iram Mushtaq1, Muhammad Umer1, Muhammad Imran2, Inzamam Mashood Nasir3, Ghulam Muhammad4,*, Mohammad Shorfuzzaman5

    CMC-Computers, Materials & Continua, Vol.70, No.1, pp. 59-72, 2022, DOI:10.32604/cmc.2022.019337

    Abstract During COVID-19, the escalated demand for various pharmaceutical products with the existing production capacity of pharmaceutical companies has stirred the need to prioritize its customers in order to fulfill their demand. This study considers a two-echelon pharmaceutical supply chain considering various pharma-distributors as its suppliers and hospitals, pharmacies, and retail stores as its customers. Previous studies have generally considered a balanced situation in terms of supply and demand whereas this study considers a special situation of COVID-19 pandemic where demand exceeds supply Various criteria have been identified from the literature that influences the selection of customers. A questionnaire has been… More >

  • Open Access


    Dynamic Voting Classifier for Risk Identification in Supply Chain 4.0

    Abdullah Ali Salamai1, El-Sayed M. El-kenawy2, Ibrahim Abdelhameed3,*

    CMC-Computers, Materials & Continua, Vol.69, No.3, pp. 3749-3766, 2021, DOI:10.32604/cmc.2021.018179

    Abstract Supply chain 4.0 refers to the fourth industrial revolution’s supply chain management systems, which integrate the supply chain’s manufacturing operations, information technology, and telecommunication processes. Although supply chain 4.0 aims to improve supply chains’ production systems and profitability, it is subject to different operational and disruptive risks. Operational risks are a big challenge in the cycle of supply chain 4.0 for controlling the demand and supply operations to produce and deliver products across IT systems. This paper proposes a voting classifier to identify the operational risks in the supply chain 4.0 based on a Sine Cosine Dynamic Group (SCDG) algorithm.… More >

  • Open Access


    Modelling Supply Chain Information Collaboration Empowered with Machine Learning Technique

    Naeem Ali1,*, Alia Ahmed1, Leena Anum2, Taher M. Ghazal3,4, Sagheer Abbas5, Muhammad Adnan Khan6,7, Haitham M. Alzoubi8, Munir Ahmad5

    Intelligent Automation & Soft Computing, Vol.30, No.1, pp. 243-257, 2021, DOI:10.32604/iasc.2021.018983

    Abstract Information Collaboration of the supply chain is the domination and control of product flow information from the producer to the customer. The data information flow is correlated with demand fill-up, a role delivering service, and feedback. The collaboration of supply chain information is a complex contrivance that impeccably manages the efficiency flow and focuses on its vulnerable area. As there is always room for growth in the current century, major companies have shown a growing tendency to improve their supply chain’s productivity and sustainability to increase customer consumption in complying with environmental regulations. Therefore, in supply chain collaboration, it is… More >

  • Open Access


    Optimal Trading Decision-Making of Power Supply Chain under Renewable Portfolio Standards

    Hui Wang, Haocheng Xu*, Wenhui Zhao

    Energy Engineering, Vol.118, No.5, pp. 1375-1394, 2021, DOI:10.32604/EE.2021.014641

    Abstract Under the background of implementing renewable portfolio standards and the ever-improving tradable green certificate scheme, the increasingly environmentally-friendly preference of power users is leading to changes in electricity demand, which, in turn, is driving changes in the decision-making behaviors of various actors in the power supply chain. Based on this, with the goal of pursuing maximum profit, consumer-power-demand functions have been introduced with some consideration of the factors of consumer preference to establish an optimal profit model for each trading subject in non-cooperative states of the power supply chain, under the constraints of meeting renewable energy portfolio standards. Here, the… More >

  • Open Access


    Time and Quantity Based Hybrid Consolidation Algorithms for Reduced Cost Products Delivery

    Muhammad Ali Memon1, Asadullah Shaikh2,*, Adel Sulaiman2, Abdullah Alghamdi2, Mesfer Alrizq2, Bernard Archimède3

    CMC-Computers, Materials & Continua, Vol.69, No.1, pp. 409-432, 2021, DOI:10.32604/cmc.2021.017653

    Abstract In today’s competitive business environment, the cost of a product is one of the most important considerations for its sale. Businesses are heavily involved in research strategies to minimize the cost of elements that can impact on the final price of the product. Logistics is one such factor. Numerous products arrive from diverse locations to consumers in today’s digital era of online businesses. Clearly, the logistics sector faces several dilemmas from order attributes to environmental changes in this regard. This has specially been noted during the ongoing Covid-19 pandemic where the demands on online businesses have increased several fold. Consequently,… More >

  • Open Access


    Managing Delivery of Safeguarding Substances as a Mitigation Against Outbreaks of Pandemics

    Said Ali Hassan1, Khalid Alnowibet2,3, Prachi Agrawal4, Ali Wagdy Mohamed5,6,*

    CMC-Computers, Materials & Continua, Vol.68, No.1, pp. 1161-1181, 2021, DOI:10.32604/cmc.2021.015494

    Abstract The optimum delivery of safeguarding substances is a major part of supply chain management and a crucial issue in the mitigation against the outbreak of pandemics. A problem arises for a decision maker who wants to optimally choose a subset of candidate consumers to maximize the distributed quantities of the needed safeguarding substances within a specific time period. A nonlinear binary mathematical programming model for the problem is formulated. The decision variables are binary ones that represent whether to choose a specific consumer, and design constraints are formulated to keep track of the chosen route. To better illustrate the problem,… More >

  • Open Access


    E-Commerce Supply Chain Process Optimization Based on Whole-Process Sharing of Internet of Things Identification Technology

    Shiyan Xu1, Jun Chen2,*, Maoguo Wu2, Chenyang Zhao2

    CMES-Computer Modeling in Engineering & Sciences, Vol.126, No.2, pp. 843-854, 2021, DOI:10.32604/cmes.2021.014265

    Abstract With in-depth development of the Internet of Things (IoT) in various industries, the informatization process of various industries has also entered the fast lane. This article aims to solve the supply chain process problem in e-commerce, focusing on the specific application of Internet of Things technology in e-commerce. Warehousing logistics is an important link in today’s e-commerce transactions. This article proposes a distributed analysis method for RFID-based e-commerce warehousing process optimization and an e-commerce supply chain management process based on Internet of Things technology. This article first introduces the advantages and disadvantages of shared IoT identification technology and the IoT… More >

  • Open Access


    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


    "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 >

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