Introduction to Enterprise Supply

What is/are Enterprise Supply?

Enterprise Supply - Experimental results show that the proposed method can solve the problem of information transmission between enterprises, and make corresponding linkage adjustment quickly according to the changes of market environment, ensure the smooth, flexible and rapid response of enterprise supply chain, and can timely and quickly find and meet customer needs, and achieve efficient project management. ^[1] In other words, the application of logistics management information system can make the elasticity of the enterprise supply chain network lower. ^[2] In the era of digital economy, there is a strong demand for modern logistics management personnel with the ability to contribute to digital transformation of enterprise supply chain logistics based on Enterprise Resource Planning (ERP), which puts forward higher requirements for practical teaching of logistics management in colleges and universities. ^[3] As an important link in the enterprise supply chain, the intelligent transformation of procurement plays an important role in the improvement of the supply chain efficiency, therefore, the construction of a common method supporting the intelligent upgrade of the enterprise procurement business has become a key concern for enterprise managers. ^[4] This article only needs to introduce the financial risk analysis of the enterprise supply chain based on the fuzzy analytic hierarchy process. ^[5] 3S model refers to the analysis of substitution effect (business substitution), scale effect (scale expansion) and structure effect (production structure and distribution channel change) used in enterprise supply chain management. ^[6] Big data technology obtains value information by collecting relevant data of e-commerce enterprises, strengthens the cost control of the enterprise supply chain, and adopts intelligent and digital analysis methods to enhance the core competitiveness of e-commerce enterprises. ^[7] This paper discusses the application strategy of Six Sigma management in enterprise supply chain quality management. ^[8] By examining the possible consequences of these impacts, it provides targeted supply chain optimization suggestions and measures to promote the continuous optimization and development of the enterprise supply chain. ^[9] In order to improve the effect of enterprise supply chain risk assessment, this paper improves the traditional neural network algorithm, combines machine learning methods and supply chain risk assessment time requirements to set system function modules, and builds the overall system structure. ^[10] In order to make up for the shortcomings of current performance evaluation methods, this paper proposes a new method of enterprise performance evaluation, discusses the construction principle of the evaluation index, and proposes a method of enterprise supply chain overall performance evaluation based on the discrete Hopfield neural network (DHNN) algorithm. ^[11]

smart supply chain

The paper analyzes the development opportunities of smart supply chain in the Big Data Era, summarizes the problems encountered in the application of big data in the smart supply chain at this stage, and finally puts forward the collaborative innovation strategy for smart supply chain in the Big Data Era, Providing reference for collaborative innovation development of enterprise supply chain. ^[1]

Commerce Enterprise Supply

Finally, the risk evaluation is carried out through the FUZZY-ISM evaluation method, and the internal connection of each risk factor and the risk generation mechanism are revealed through structural model analysis, which provides a theoretical reference for cross-border e-commerce enterprise supply chain risk management. ^[1] The above-mentioned model constructs an e-commerce enterprise supply chain financing risk management model that adapts to the environment of the new era. ^[2]

enterprise supply chain

The account of offending is refined to a type of illicit rural food enterprise supply chain misconduct, actualised by un-regulated industry processes. ^[1] Experimental results show that the proposed method can solve the problem of information transmission between enterprises, and make corresponding linkage adjustment quickly according to the changes of market environment, ensure the smooth, flexible and rapid response of enterprise supply chain, and can timely and quickly find and meet customer needs, and achieve efficient project management. ^[2] In other words, the application of logistics management information system can make the elasticity of the enterprise supply chain network lower. ^[3] Finally, the risk evaluation is carried out through the FUZZY-ISM evaluation method, and the internal connection of each risk factor and the risk generation mechanism are revealed through structural model analysis, which provides a theoretical reference for cross-border e-commerce enterprise supply chain risk management. ^[4] The paper analyzes the development opportunities of smart supply chain in the Big Data Era, summarizes the problems encountered in the application of big data in the smart supply chain at this stage, and finally puts forward the collaborative innovation strategy for smart supply chain in the Big Data Era, Providing reference for collaborative innovation development of enterprise supply chain. ^[5] In the era of digital economy, there is a strong demand for modern logistics management personnel with the ability to contribute to digital transformation of enterprise supply chain logistics based on Enterprise Resource Planning (ERP), which puts forward higher requirements for practical teaching of logistics management in colleges and universities. ^[6] As an important link in the enterprise supply chain, the intelligent transformation of procurement plays an important role in the improvement of the supply chain efficiency, therefore, the construction of a common method supporting the intelligent upgrade of the enterprise procurement business has become a key concern for enterprise managers. ^[7] This article only needs to introduce the financial risk analysis of the enterprise supply chain based on the fuzzy analytic hierarchy process. ^[8] The above-mentioned model constructs an e-commerce enterprise supply chain financing risk management model that adapts to the environment of the new era. ^[9] 3S model refers to the analysis of substitution effect (business substitution), scale effect (scale expansion) and structure effect (production structure and distribution channel change) used in enterprise supply chain management. ^[10] Big data technology obtains value information by collecting relevant data of e-commerce enterprises, strengthens the cost control of the enterprise supply chain, and adopts intelligent and digital analysis methods to enhance the core competitiveness of e-commerce enterprises. ^[11] This paper discusses the application strategy of Six Sigma management in enterprise supply chain quality management. ^[12] By examining the possible consequences of these impacts, it provides targeted supply chain optimization suggestions and measures to promote the continuous optimization and development of the enterprise supply chain. ^[13] In order to improve the effect of enterprise supply chain risk assessment, this paper improves the traditional neural network algorithm, combines machine learning methods and supply chain risk assessment time requirements to set system function modules, and builds the overall system structure. ^[14] In order to make up for the shortcomings of current performance evaluation methods, this paper proposes a new method of enterprise performance evaluation, discusses the construction principle of the evaluation index, and proposes a method of enterprise supply chain overall performance evaluation based on the discrete Hopfield neural network (DHNN) algorithm. ^[15] The e-commerce platform has created an intelligent “ecosphere” for the enterprise supply chain. ^[16] A typical manufacturing enterprise supply chain system is a complex system, which is composed of interconnected subsystems. ^[17] Industrial enterprise supply chain auditing can not only help industrial enterprises increase market share, but also enhance the synergetics between enterprise management and supply chain enterprises. ^[18] In the operation process of big production enterprise supply chain, because of the information’s asymmetry, the fraud problem will produce among the business subjects; blockchain is a decentralized distributed accounting and data storage technology, and with blockchain technology, we can resolve the business subjects’ fraud problem and can provide more accurate decision information basis for each business section, and realize group decision. ^[19] Supply chain finance is an important way to solve the financing difficulties of enterprises under the background of deleveraging, which is of great theoretical and practical significance to the overall performance of the enterprise supply chain. ^[20] It is pointed out that the goal of the internal operation of the large coal enterprise supply chain is to achieve a balanced coal supply for coal end customers, achieve double satisfaction of coal supply chain enterprises and customers and ultimately maximize general utility. ^[21] This paper introduces a flexible simulator testbed of multiple MTConnect agents and adapters for simulating Levels 0 & 1 of the ISA-95 framework and help support R&D activities in complex multi-enterprise supply chain scenarios. ^[22]