Evaluation method for node importance in container supply chain network

Failure of supply is typical phenomenon of cascading effect in complex supply chain network, in order to ensure the safe operation of supply chain network we should strengthen the management and protection important nodes. Based on this, the paper has proposed a evaluation methods of node importance to measure the size of the largest connected sub-graph node failure caused devastating consequences in complex supply chain network, and by example to verify the effectiveness and practicality of the evaluation methods.

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Strategic and Tactical Design of Competing Decentralized Supply Chain Networks with Risk-Averse Participants for Markets with Uncertain Demand

Mathematical Problems in Engineering ◽

10.1155/2011/325610 ◽

2011 ◽

Vol 2011 ◽

pp. 1-27 ◽

Cited By ~ 13

Author(s):

Ashkan Hafezalkotob ◽

Ahmad Makui ◽

Seyed Jafar Sadjadi

Keyword(s):

Supply Chain ◽

Evaluation Method ◽

Service Level ◽

Risk Averse ◽

Supply Chain Network ◽

Strategic Decisions ◽

Supply Chain Networks ◽

Decentralized Supply Chain ◽

Substitutable Products ◽

Tactical Decisions

An integrated equilibrium model for tactical decisions in network design is developed. We consider a decentralized supply chain network operating in markets under uncertain demands when there is a rival decentralized chain. The primary assumption is that two chains provide partial substitutable products to the markets, and markets' demands are affected by tactical decisions such as price, service level, and advertising expenditure. Each chain consists of one risk-averse manufacturer and a set of risk-averse retailers. The strategic decisions are frequently taking precedence over tactical ones. Therefore, we first find equilibrium of tactical decisions for each possible scenario of supply chain network. Afterwards, we find optimal distribution network of the new supply chain by the scenario evaluation method. Numerical example, including sensitivity analysis will illustrate how the conservative behaviors of chains' members affect expected demand, profit, and utility of each distribution scenario.

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The Importance Evaluation of Weighted Supply Chain Network Nodes Based on Big Data Considering the Degree of Coupling and Coordination

Journal of Physics Conference Series ◽

10.1088/1742-6596/2138/1/012001 ◽

2021 ◽

Vol 2138 (1) ◽

pp. 012001

Author(s):

Kangye Tan ◽

Fang Xu

Keyword(s):

Big Data ◽

Supply Chain ◽

Evaluation Method ◽

Comprehensive Evaluation ◽

Supply Chain Coordination ◽

Network System ◽

Supply Chain Network ◽

Entropy Weight ◽

Intelligent Software ◽

The Stability

Abstract Through big data and computer intelligent software, it is possible to quickly and accurately calculate the supply chain coordination relationship between global enterprises, and due to comprehensively, quickly and objectively assess the importance and stability of each node in the supply chain network where the company is located in the wave of supply chain globalization, it is convenient for decision makers to effectively and accurately identify the key nodes in the supply chain network system, thereby improving the supply chain of the stability and sustainability of the network. The paper proposes an improved comprehensive evaluation method of weighted node entropy weight based on coupling coordination, supply chain and complex network theories, taking into account the coupling and coordination of nodes in the supply chain network system, as well as the importance and connection of nodes. The importance of edges. With the mining and support of big data technology, this improved method can comprehensively and objectively evaluate the importance of nodes in the supply chain network. Finally, taking 2827 companies as examples, the experimental results verify the rationality and effectiveness of the method.

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Coal Industrial Supply Chain Network and Associated Evaluation Models

Sustainability ◽

10.3390/su12239919 ◽

2020 ◽

Vol 12 (23) ◽

pp. 9919

Author(s):

Ge He ◽

Li Zhou ◽

Yiyang Dai ◽

Yagu Dang ◽

Xu Ji

Keyword(s):

Supply Chain ◽

Operations Management ◽

Evaluation Method ◽

Efficiency Index ◽

Coal Industry ◽

Supply Chain Network ◽

Information Interaction ◽

Evaluation Models ◽

Paper Form ◽

Collaborative Evaluation

To improve integration and achieve better coal industry materials and energy balance, integrated collaborative supply chains (SCs) are needed. However, as single-core SC models are not suitable for complex coal industry systems, a multicore, correlated, conditional SC model, called a supply chain network (SCN), is proposed. SCN collaborative evaluation models are discussed including industrial metabolic balance (IMB), enterprise profitability, contract execution ability and information interaction ability, for which IMB is used as the efficiency index of resource coordination of SCN, also as the constraints of the models on system levels. Further, data modeling by using BP-ANN algorithm is used to predict the profitability of supply chain network. Finally, the feasibility of the above models is illustrated by cases. The proposed evaluation models in this paper form the scientific and quantitative evaluation method of SC, which could be used for both SC planning and operations management helping detect and eliminate risks.

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