Analysis of Information Sharing Mechanism in the Food Industry Green Supply Chain Management and Operation Process

In order to effectively address the issues of environmental pollution and food safety in food industry,the green supply chain management should be used in the food industry.However,information sharing is the basis of supply chain management.For this purpose,on the basis of describing the connotation of food industry green supply chain management,the paper introduces the contents and the effects of information sharing mode in detail.It focuses on the barriers of the implementation of information-sharing mechanisms in the food industry green supply chain management and operation process and analyzes the necessity of using information sharing mechanism among the members of the food industry green supply chain management mode by game theory,so as to strengthen the competitiveness of enterprises through supply chain management.

Problems and Countermeasures in the Supply Chain Management of Flower Industry in Yunnan Province

On the basis the elementary theory of supply chain management,the features and problems in the supply-chain management of flowers in Yunnan Province are analyzed.The problems include poor image of flowers caused by low-end package,imperfect supply-chain structure,and weak processing section after harvesting flowers,hard to launch the cold chain transportation and inadequate awareness of enterprises on consumers.The countermeasures are put forward,which include perfecting various kinds of supply chain structure;intensifying the information system management of flowers in Yunnan Province;developing the cold chain logistics and cultivating and supporting the third-party logistics of flower industry in Yunnan Province.

Risk Management Situation and Strategic Analysis of Supply Chains of Small and Medium Enterprises in Luzhou Liquor Industry Development Zone

After entering the information-based society, profound reform has happened in the business pattern of enterprises, and thecompetitive mode between traditional enterprises has been transformed into the competition between supply chains in nowadays. The liquorindustry in Luzhou is the pillar industry of economy, which involves “Luzhou Old Cellar”, “Ichiro Liquor”and other large-scale enterpriseswith well-known brands. Besides, many small and medium-sized enterprises are developing and flourishing in Luzhou. Compared with thedevelopment of large enterprises, the development of small and medium sized enterprises has more uncertainty and risks. At present, Luzhou Cityis setting about to build Huangyi into a liquor centralized zone, which is also a clusterization strategy for industry development of Luzhou liquor.For Luzhou Liquor Zone, the implementation of supply chain management of small and medium-sized enterprises can greatly reduce the cost ofenterprises and improve effi ciency of operation. The growth and development of small and medium-sized enterprises in Luzhou Liquor Zone andthe promotion of advantages of industrial clusters are closely related to the risks of the supply chain.

IoT-Enabled RFID in Supply Chain Management: A Comprehensive Survey and Future Directions

Radio frequency identification (RFID) has emerged as a pivotal technology in supply chain management (SCM), significantly enhancing its efficiency and effectiveness. When integrated with the internet of things (IoT) to form RFID-IoT, this technology brings transformative advancements to SCM, enabling automated sensing, pervasive computing, and ubiquitous data access across the entire supply chain, from manufacturers and distributors to retailers and consumers. This integration facilitates real-time identification and monitoring of products, enhances various processes, improves logistic tracking, and ensures better product quality management. Despite its promising benefits, the adoption of RFID-IoT in SCM faces several challenges, including technical complexities, data security concerns, and high implementation costs. However, the future potential of RFID-IoT technology remains substantial. It is anticipated that further integration with other emerging technologies, such as block chain and artificial intelligence, will lead to more comprehensive and robust SCM solutions, offering unprecedented levels of transparency, efficiency, and automation in supply chain operations.

Supplier Selection Fuzzy Model in Supply Chain Management:Vietnamese Cafe Industry Case

Supplier selection is a vital part of the supply chain and is also a current issue that concerns businesses today as supplier quality directly affects the operations of the organization.Choosing the right supplier can help businesses increase productivity,competitiveness in the market,and profits without having to lower the quality of the products.However,choosing a supplier is not a simple matter,it requires businesses to consider many aspects about their suppliers.Therefore,the goal of this study is to propose an integrated model consisting of two models:Fuzzy Analytics Network Process(Fuzzy-ANP)model and Weighted Aggregated Sum Product Assessment(WASPAS)to solve the problem above.The Fuzzy-ANP model was developed to evaluate the weightings of the supplier selection criteria,and the WASPAS Model was used to rank the suppliers.An example of supplier selection in the coffee industry in Vietnam was studied to validate the model,namely 5 main criteria,with 16 sub-criteria,and 7 suppliers.The model test results show that the Fuzzy ANP and WASPAS integration model was suitable.In future,these developing models can apply to other industries or integrate with other models.

DISRUPTION MANAGEMENT FOR SUPPLY CHAIN COORDINATION WITH EXPONENTIAL DEMAND FUNCTION

The coordination problem of a supply chain comprising one supplier and one retailer under market demand disruption is studied in this article. A novel exponential demand function is adopted, and the penalty cost is introduced explicitly to capture the deviation production cost caused by the market demand disruption. The optimal strategies are obtained for different disruption scale under the centralized mode. For the decentralized mode, it is proved that the supply chain can be fully coordinated by adjusting the price discount policy appropriately when disruption occurs. Furthermore, the authors point out that similar results can be established for more general demand functions that represent different market circumstances if certain assumptions are satisfied.

Development of a Portfolio Simulation System for Apparel Supply Chain

In this paper,a generic retailer-oriented portfolio simulation system linking manufacturer,retailer,and customer in apparel supply chain is presented.The purpose of the simulator is to generate a portfolio consisting of replenishment strategy and performance index under different sales forecasting errors to satisfy the retailer-defined customer service level in apparel industry.After analyzing the main parameters in the portfolio simulator,the procedure and detailed structure of the simulator are then described.With the use of data from the industry,one case study of the portfolio simulator is achieved and the process of the simulation is validated.

Improving construction performance through supply chain management

A typical model of construction supply chain (CSC) is presented firstly. Then the characteristics and problems of CSC are identified. The authors also describe the progress towards adoption of supply chain management (SCM) in the construction industry. Traditional construction management approaches (CMAs) are compared with new SCM-based CMAs. The authors suggest that integrated SCM based on cooperating competition is crucial to improve construction performance. Based on relevant results from related research, a framework for integrated construction supply chain management (CSCM) is developed to guide the effective implementation of SCM in construction.

Research on the Healthy Development of China’s Real Estate Market under the background of Macro Regulation and Stock Marketing

Rising production costs, changes in the way of technological progress, the rate of decline in investment income, export-led growh is not sustainable, these factors make the Chinese economy has entered a “new normal.” This performance is the new normal economic growh rates, “stagflation” risk appears to reduce the employment pressure, increased proportion of consumption, industrial structure transition from labor-intensive to capital-intensive and knowledge-intensive, as well as increased demand for independent research and development. In the “new normal”, China should moderately lower economic growh target, deepening reform, speed up industrial restructuring and independent innovation, the implementation of the policy mix of supply and demand double expansion, demand management, or a small amount of sound monetary tightening, fiscal expansion policy mix. “Destocking” is the main task of the real estate market, due to the effect of crowding out commercial and affordable housing between the stocks is bound to affect the development of affordable housing. Faced with the real estate market structure imbalance, we should supply-side and demand-side two-pronged approach.

Problems and Countermeasures of Logistics in the Marine Fisheries Industry

Based on the connotation of marine fisheries logistics,the thesis gives a brief account of its features:firstly,it is more susceptible to natural conditions;secondly,the aquatic logistics is with strong specialized assets;thirdly,the aquatic products market has relative greater uncertainties;fourthly,it calls for higher logistics technology;fifthly,it is difficult to conduct supply chain management.Then the thesis analyzes the problems in the marine fisheries industry:the first problem is the imperfect standardization system of the aquatic logistics;the second is the backward development in the cold storage of the marine fisheries;the third is low information-based degree of marine fisheries logistics system;the fourth one is the low level of the value-added services;the fifth problem is the immature participants in logistics.In order to solve these problems,this thesis further proposes some countermeasure to develop the logistics in the marine fisheries industry:at first,to build various forms of logistics organization entities;secondly,to gradually realize the integration of logistics functions and performance;thirdly,to strengthen the information construction of marine fisheries logistics;at last,to reinforce the government roles in developing the logistics industry of aquatic products.

Research on the Development of SCM System for the Textile and Garment Industry Based on UML

This thesis systematically analyzes the essential structure of supply chain management system for the textile and garment industry based on UML. According to these analyses, an advanced, reasonable and practical preliminary system has been constructed to simulate the operation process and evaluate design standard of the supply chain.

TOWARDS REAL-TIME CUSTOMIZED MANAGEMENT OF SUPPLY AND DEMAND CHAINS

Our focus herein is on developing an effective taxonomy for the simultaneous and real-timemanagement of supply and demand chains.More specifically,the taxonomy is developed in terms ofits underpinning components and its research foci.From a components perspective,we first considerthe value chain of supplier,manufacturer,assembler,retailer,and customer,and then develop aconsistent set of definitions for supply and demand chains based on the location of the customer orderpenetration point.From a research perspective,we classify the methods that are employed in themanagement of these chains,based on whether supply and/or demand are flexible or fixed.Interestingly,our taxonomy highlights a very critical research area at which both supply and demandare flexible,thus manageable.Simultaneous management of supply and demand chains sets the stagefor mass customization which is concerned with meeting the needs of an individualized customermarket.Simultaneous and real-time management of supply and demand chains set the stage forreal-time mass customization(e.g.,wherein a tailor first laser scans an individual's upper torso andthen delivers a uniquely fitted jacket within a reasonable period,while the individual is waiting).Thebenefits of real-time mass customization can not be over-stated as products and services becomeindistinguishable and are co-produced in real-time,resulting in an overwhelming economicadvantage.

Shifting Private Timberland Ownership in South Carolina: Implications for Management Intensity

Beginning in the late 1970’s forest industry timberland gained the eye of financial investors. Diamond International and Crown Zellerbach were early firms that were purchased for the “break-up value” of their timberland. Timberland was perceived as undervalued by investors and made forest industry firms attractive takeover targets. This started a process where forest industry divested of its timberland. Some firms formed separate entities for its timberland base. Acquisitions and mergers became popular in the industry. Some forest industry companies converted to real estate investment trusts, for tax and defensive reasons. Large institutional investors became interested in timberland as means to diversify their portfolios and increase financial performance. Timber management investment organizations developed to manage and procure timberland for these institutional investors. Today little of the forest industry timberland remains with vertically-integrated forest products companies. South Carolina’s forest industry timberland decreased by about 800,000 ha since 1993 (or nearly 90%). This has implications for the state’s timber supply. Forest industry timberlands were some of the most productive and intensively managed forests in the state. We address how forest management might change on this timberland and how long-term timber supply might be impacted in the state.

Cyber risk at the edge:current and future trends on cyber risk analytics and artificial intelligence in the industrial internet of things and industry 4.0 supply chains

Digital technologies have changed the way supply chain operations are structured.In this article,we conduct systematic syntheses of literature on the impact of new technologies on supply chains and the related cyber risks.A taxonomic/cladistic approach is used for the evaluations of progress in the area of supply chain integration in the Industrial Internet of Things and Industry 4.0,with a specific focus on the mitigation of cyber risks.An analytical framework is presented,based on a critical assessment with respect to issues related to new types of cyber risk and the integration of supply chains with new technologies.This paper identifies a dynamic and self-adapting supply chain system supported with Artificial Intelligence and Machine Learning(AI/ML)and real-time intelligence for predictive cyber risk analytics.The system is integrated into a cognition engine that enables predictive cyber risk analytics with real-time intelligence from IoT networks at the edge.This enhances capacities and assist in the creation of a comprehensive understanding of the opportunities and threats that arise when edge computing nodes are deployed,and when AI/ML technologies are migrated to the periphery of IoT networks.

Cyber risk at the edge:current and future trends on cyber risk analytics and artificial intelligence in the industrial internet of things and industry 4.0 supply chains

Digital technologies have changed the way supply chain operations are structured.In this article,we conduct systematic syntheses of literature on the impact of new technologies on supply chains and the related cyber risks.A taxonomic/cladistic approach is used for the evaluations of progress in the area of supply chain integration in the Industrial Internet of Things and Industry 4.0,with a specific focus on the mitigation of cyber risks.An analytical framework is presented,based on a critical assessment with respect to issues related to new types of cyber risk and the integration of supply chains with new technologies.This paper identifies a dynamic and self-adapting supply chain system supported with Artificial Intelligence and Machine Learning(AI/ML)and real-time intelligence for predictive cyber risk analytics.The system is integrated into a cognition engine that enables predictive cyber risk analytics with real-time intelligence from IoT networks at the edge.This enhances capacities and assist in the creation of a comprehensive understanding of the opportunities and threats that arise when edge computing nodes are deployed,and when AI/ML technologies are migrated to the periphery of IoT networks.

工业互联网场景下运营管理研究综述

工业互联网作为新一代信息技术与工业制造深度融合的全新工业生态,对提高企业运营效率、推动制造业高质量发展具有重要意义。综合分析了工业互联网场景下运营管理相关文献,发现:1)工业互联网平台的研究大多数是通过定性方法分析其在不同行业的应用场景及平台生态,而通过定量方法探究工业互联网平台的深层次运营及协调机制是今后需重点关注的问题;2)通过数字化、网络化和智能化来提高产品质量、降低成本、优化业务流程等,实现价值创造,而工业互联网下制造企业、顾客等多主体的价值共创机理和模式是重要的研究问题;3)现有研究聚焦工业互联网技术和模型算法对生产运营中单一活动进行优化,而工业互联网环境下“研-制-维”一体化协同流程的构建方法以及多级闭环决策体系与智能决策方法需要深入探究;4)现有研究已明确工业互联网下供应链可以通过互联互通、可视性、实时性及可追溯性提升运营绩效,并探讨了技术采纳对其策略选择及协调机制的影响,未来可以将关注点转向下游客户端。

汽车制造业绿色供应链管理对环境绩效的影响研究

从绿色供应链管理和大数据分析能力视角探讨制度压力对企业环境绩效的影响机理,揭示绿色供应链管理和大数据分析能力在企业环境绩效形成过程的作用。研究结果表明:制度压力对绿色供应链管理实施与大数据分析能力有显著影响;绿色供应链管理与大数据分析能力对企业环境绩效提升有显著影响;大数据分析能力对企业绿色供应链管理实施有显著影响;在制度压力对环境绩效的影响中,大数据分析能力与绿色供应链管理存在部分中介效应。研究结果能够为汽车制造企业重视大数据分析能力建设和绿色供应链管理实践,提高环境绩效提供一定的参考价值。

人工智能时代下产业链供应链的重构、风险及应对

伴随着第四次工业革命的加速演进,人工智能已经深度嵌入经济社会运行和产业发展,引发全球产业链供应链的变革重构,产业链供应链将更加趋向收缩化与短链化、近岸化与本土化、融合化与数智化。而在其演化过程中,隐含着三重风险:就宏观层面而言,存在经济结构转型与新一轮大国竞争的内外部挤压;从中观维度来看,具有产业升级滞后、结构失衡及产业空心化的隐忧;由微观视角切入,存在着企业“中等技术陷阱”及数据和算法安全风险。在人工智能时代下,应采取如下应对策略:推进政府与市场制度安排的优化创新,在宏观层面构建产业链供应链数智新生态;推动人工智能和实体经济的深度融合,在中观层面驱动产业链供应链数智化转型;充分释放智能企业“补链强链”效应,在微观层面保障产业链供应链的自主可控;促进高水平对外开放,有效降低产业链供应链“脱钩断链”风险,从而转危为机并实现我国产业链供应链韧性和安全水平的全面提升。

产品生命周期视域下人工智能技术在服装产业中的应用进展

传统服装产业面临诸多问题,如劳动力成本增加、设计创新不足和供应链管理不善。这些问题在很大程度上源于服装产业的劳动密集型特性,以及对人力资源的高度依赖。人工智能作为一种模拟人类智能行为的技术,能够在很大程度上替代人工操作,已在服装行业中得到广泛应用,特别是在提升服装设计、生产和销售环节的效率及控制制造成本方面。然而,目前关于人工智能在服装领域的应用现状尚未得到系统梳理。服装产品生命周期管理(PLM)是一种集成设计、制造和销售业务流程的管理方案,旨在帮助企业跟踪和管理其服装产品生命周期。因此,本文将深入探讨人工智能在服装产品生命周期各环节中的具体应用,从应用场景和算法两方面进行综述,分析现有研究的现状和不足,希望为相关领域的研究者提供启示和参考价值,以推动服装产业的转型升级,增强其竞争力。

绿色物流在饲料产业供应链管理中的应用

随着绿色低碳经济的快速发展,低能耗、低污染的生产管理方式已成为现代企业转型升级的主要方向。而我国饲料市场庞大且需求旺盛,无论是饲料原料还是饲料产品的流通,都高度依赖物流的参与,因此,强调绿色物流在饲料产业供应链管理中的应用具有重要的现实意义。为便于分析,本文从饲料供应链中的物流模式入手,进一步分析饲料供应链中发展绿色物流的重要性,并从应用层面提出了几点建议,力求在饲料产业供应链管理中降低物流的资源消耗,减少饲料经济业务活动对环境的负面影响。