Analysis of the Supply Chain in Industrial Companies in Guayaquil,Ecuador-A Secondary Publication

This research clearly outlines the supply chain in a process of evolution and digital transformation,where the collaboration of its members is concentrated,having technological tools to help chain management.To analyze the advantages that this transformation produces in the supply chain,as well as its different processes,this study has a systemic perspective that involves precise elements for organizational development,such as the different phases of each process,operations,logistics,and distribution.It must be borne in mind that any strategy in industrial companies grants the automation of procedures in the supply chain and determines a product in any phase of production,making the organization more sensitive to any variation in orders.The methodology included a bibliographic and non-experimental review that allows a descriptive and analytical study,which details the various characteristics of the fact that is being investigated,collecting information through interviews with different people who are involved with industrial companies.Among the results obtained,it was identified that digital transformation helps reduce costs and generates greater profitability.In conclusion,it was obtained that the digital supply chain helps in each of the phases of the processes,these are supervised by devices that help to have fast and effective information.

Research on the Digital Transformation of the Whole Industry Chain of Guangdong Supply and Marketing Cooperative

Guangdong Supply and Marketing Cooperative serves as an important institution for the“Three Rural Areas”in the Guangdong-Hong Kong-Macao Greater Bay Area.Its digital transformation and optimization serve as powerful supports for rural revitalization.This paper systematically reviews the main practices and effectiveness of the digital transformation within the Guangdong Supply and Marketing Cooperative.It also analyzes the current development dilemmas faced in the construction of digital supply and marketing.Additionally,it proposes targeted solutions,including building a big data resource base,optimizing the digital supply and marketing cloud platform,developing digital publictype agricultural social service applications,establishing a new model of rural e-commerce,enhancing the traceability management system for agricultural products,and strengthening the construction of the digital human resources system.These proposals aim to further promote the strategy for revitalizing the countryside.

Industrial Linkage: Dynamic Equilibrium Supply Chain of Foundry Landmark Industrial Chain -- An Analysis Based on Zhejiang

In the face of the impact of the epidemic on the industrial chain and supply chain,it is an inevitable requirement for industrial development to ensure the dynamic balance of the supply chain.Supply chain is the basis for the generation of industrial chain.Industrial linkage can promote the rational layout of industries.The operation mode of supply chain is the main driving force of industrial linkage.To build a dynamic and balanced supply chain,we must focus on symbolic industries and adopt measures of chain protection,chain supplement,chain creation and chain financing.

Leveraging Blockchain with Optimal Deep Learning-Based Drug Supply Chain Management for Pharmaceutical Industries

Due to its complexity and involvement of numerous stakeholders,the pharmaceutical supply chain presents many challenges that companies must overcome to deliver necessary medications to patients efficiently.The pharmaceutical supply chain poses different challenging issues,encompasses supply chain visibility,cold-chain shipping,drug counterfeiting,and rising prescription drug prices,which can considerably surge out-of-pocket patient costs.Blockchain(BC)offers the technical base for such a scheme,as it could track legitimate drugs and avoid fake circulation.The designers presented the procedure of BC with fabric for creating a secured drug supplychain management(DSCM)method.With this motivation,the study presents a new blockchain with optimal deep learning-enabled DSCM and recommendation scheme(BCODL-DSCMRS)for Pharmaceutical Industries.Firstly,Hyperledger fabric is used for DSC management,enabling effective tracking processes in the smart pharmaceutical industry.In addition,a hybrid deep belief network(HDBN)model is used to suggest the best or top-rated medicines to healthcare providers and consumers.The spotted hyena optimizer(SHO)algorithm is used to optimize the performance of the HDBN model.The design of the HSO algorithm for tuning the HDBN model demonstrates the novelty of the work.The presented model is tested on the UCI repository’s open-access drug reviews database.

A Study on the Interest Linkage Mechanism of the Taxus Industry Chain in Pengshui Miao and Tujia Autonomous County

At the Taxus base of Pengshui Miao and Tujia Autonomous County,Chongqing,the comprehensive development and utilization of Taxus was carried out with seedling cultivation,understory economy,product processing,ecotourism and other aspects as the main line.The benefit linkage mechanism of the operation of the Taxus industrial chain was explored and analyzed,so as to extend and supplement the Taxus industrial chain.The two models of"company+farmer"and"company+village collective+farmer"are relatively close benefit linkage models,which indirectly promote the increase of farmers income and smoothly guarantee the operation of the industrial chain,thereby playing a positive role during the development of the Taxus industry.This study provides reliable countermeasures and suggestions for the sustained and healthy development of the Taxus industry in Pengshui County.

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.

Construction of Regional Grain Industry Chain and Supply Chain in Yunnan Province

As a southwestern border province of China,Yunnan is featured by the geographical advantage of proximity to the Indo-China Peninsula which is known as World Rice Warehouse,and its capital and technology are ahead of the neighboring countries of China.Therefore,to enhance its support capability in consolidating and improving the national food security strategy,Yunnan should further develop its comparative advantages by building the regional food industry chain and supply chain depending on the province's grain system of production,processing,storage and transportation,as well as its agricultural economic and trade cooperation platforms and channels with the neighboring countries of China.In this study,comparative analysis and related methods were used to systematically analyze the scale of grain production in Yunnan,the proportion of its grain production to the national total amount,the transition of its grain variety structure and the characteristics of its food security system,as well as the grain export trade of the 6 countries in the Indo-China Peninsula from 2010 to 2019.Then,the problems in grain production in Yunnan were clarified,such as the decrease of grain ration production capacity,the decline of comparative benefits of grain production and the insufficient support for agricultural"going global"strategy.Finally,a series of countermeasures were put forward,including further implementing the strategy of"reserving grain in land and technology"to increase Yunnan's production capacity of grain,focusing on agricultural products storage and transportation system to improve the ability to obtain grain from abroad,expanding the border processing and logistics industry,optimizing the policy of agricultural products'import and export,and etc.

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.

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.

Construction of industrial ecological chain for characteristic small town:A case study of VR Town at Gui-An New District

As the rapid development of the national small characteristic town,some problems began to show through.For example,the spatial structure is not reasonable,the industrial is not harmonious,and the industrial cluster is not obvious and so on.In order to solve these uncoordinated problems and arrange industrial structure properly,to build the industrial ecologic chain construction according to local conditions appears to be critical.Therefore,constructing industrial ecological chain is of importance in academic aspect and practical significance to sustainable development.According to the theory of industrial ecology,this article researches on industrial ecological chain construction of Gui-An New District's VR town.Otherwise,with the principles of vertical supply-demand chain,horizontal collaboration chain,energy utilization chain,material circulation chain and water cycle chain,on the basis of five elements including public environment,service bake up,demand-supply collaboration,management system in a cloud and resource reuse,this paper put forward the industrial ecological chain model of VR town in Gui-An New District and analyze each links detailedly.The purpose is to explore and analyze the industrial ecological chain construction of VR town in Gui-An New District to abundant domestic related theory about small town and play a certain reference significance on other new-type of characteristic urbanization in mountainous region.

Reengineering Model of Supply Chain of Tea Industry in Yunnan

Yunnan University of finance and Trade recording to t he statistics of chain’s output of tea, Yunnan province has entered the ranks of the larger ones of the production in China. Yunnan’s tea industry has the natur al resources and the economic effects envied, on the orther hand, Yunnan’s tea m arket has gradually become less and the economic effects have been poor. Through our comprehensive investigation and study, we consider that because the supply chain has seriously been disjointed among production, supply and sale of tea ind ustry in Yunnan, the supply chain of Yunnan’s tea industry need to be reorganize d for the promoting the development of Yunnan’s tea industry. The essence of reengineering of Yunnan’s tea industrial supply chain is to set u p the model of the trailed operation,to strengthen the strategic partnership man agement between the supply chain, to optimize the design of the supply chain and build up and improve the working mechanism for management of the tea industrial supply chain. The structure of Yunnan’s model of tea industrial supply chain: the model of com mercial flow; the model of logistics flow; the model of information flow and the model of cash flow. The solutions and policies for the reorganization of Yunnan’s tea industrial sup ply chain: planning, logistics and distribution and sales. Set up the supporting system of information technology. Build up the control system of production and planning.Improve the working mechanism of Yunnan’s tea industrial supply chain. Implement the engineering of exporting Yunnan’s tea into the markets of other p rovinces and foreign markets. Have many the channels that raise the funds of dev elopment for Yunnan’s tea industry.

Optimization Agricultural Supply Chain:A Case Study of Fertilizer Supplier Selection

The 21st century is associated with the IndustrialRevolution 4.0 and the organic agriculture trend,making the utilization of high-quality fertilizers,abundant nutritional content,economical,and no affect to environment pollution.According to the new concept,clean agricultural production and organic agricultural products are not allowed to excessively use synthetic chemicals such as chemical fertilizers,and plant protection drugs,but priority is to use manure,organic fertilizers,and natural mineral fertilizers.Fertilizer must meet the balanced nutritional requirements of crops,maintain,and improve the fertility of the ground,protect the surrounding ecosystem,and leave harmful effects in agricultural products,products with high quality,safe for users and high economic efficiency for producers.To achieve the above goal,the selection of a fertilizer supplier is an important decision,supporting the supply chain’s sustainable development,fertilizer supplier selection is a multicriteria decision making model,the decision maker must assess all qualitative and quantitative factors.In this paper,the author proposed an integer decision making model including Fuzzy Analytic Hierarchy Process(FAHP)and Complex Proportional Assessment of Alternatives(COPRAS)for fertilizer supplier selection.The weightings of the criteria are calculated by using FAHP,COPRAS is then applied for ranking some potential fertilizer suppliers.The efficiency of the proposed models is proved by a case study conducted in a farm located in the south of Vietnam.This research is the first fertilizer supplier evaluation and se-lection model in Vietnam by interviewing experts and reviewing the literature.Re-search result is to provide a case study on evaluating supplier in agricultural supply chain utilizing the model proposed by the combination of FAHP and COPRAS models.

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.

The Construction and Competitiveness of Operation Model of Agricultural Industrial Cluster

Through reviewing the viewpoints of former scholars, the connotation and features of supply chain of agricultural industrial cluster are introduced. The agricultural industrial cluster model constituted by core network and supporting network is constructed. Three operation models of this kind of supply chain is described: the model takes wholesale market of agricultural products as the core; the model take pillar industries of agricultural industrialization as core; model takes the chains of retail enterprises as core. The competitiveness of agricultural industrial cluster is researched. The research assumes that the competiveness of supply chain of agricultural industrial cluster is mainly represented to make the agricultural industrial cluster to acquire more capabilities in terms of innovation and knowledge sharing capability, resource allocation capability, agile market adaptability and distinct value creation capability.

Intelligent Manufacturing Systems in COVID‑19 Pandemic and Beyond:Framework and Impact Assessment

Pandemics like COVID-19 have created a spreading and ever-higher healthy threat to the humans in the manufacturing system which incurs severe disruptions and complex issues to industrial networks.The intelligent manufacturing(IM)systems are promising to create a safe working environment by using the automated manufacturing assets which are monitored by the networked sensors and controlled by the intelligent decision-making algorithms.The relief of the production disruption by IM technologies facilitates the reconnection of the good and service flows in the network,which mitigates the severity of industrial chain disruption.In this study,we create a novel intelligent manufacturing framework for the production recovery under the pandemic and build an assessment model to evaluate the impacts of the IM technologies on industrial networks.Considering the constraints of the IM resources,we formulate an optimization model to schedule the allocation of IM resources according to the mutual market demands and the severity of the pandemic.

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.