scholarly journals Correction: Network evolution model for supply chain with manufactures as the core

PLoS ONE ◽  
2018 ◽  
Vol 13 (4) ◽  
pp. e0196036
Author(s):  
PLoS ONE ◽  
2018 ◽  
Vol 13 (1) ◽  
pp. e0191180 ◽  
Author(s):  
Haiyang Fang ◽  
Dali Jiang ◽  
Tinghong Yang ◽  
Ling Fang ◽  
Jian Yang ◽  
...  

1993 ◽  
Vol 155 ◽  
pp. 480-480
Author(s):  
C.Y. Zhang ◽  
S. Kwok

Making use of the results from recent infrared and radio surveys of planetary nebulae, we have selected 431 nebulae to form a sample where a number of distance-independent parameters (e.g., Tb, Td, I60μm and IRE) can be constructed. In addition, we also made use of other distance-independent parameters ne and T∗ where recent measurements are available. We have investigated the relationships among these parameters in the context of a coupled evolution model of the nebula and the central star. We find that most of the observed data in fact lie within the area covered by the model tracks, therefore lending strong support to the correctness of the model. Most interestingly, we find that the evolutionary tracks for nebulae with central stars of different core masses can be separated in a Tb-T∗ plane. This implies that the core masses and ages of the central stars can be determined completely independent of distance assumptions. The core masses and ages have been obtained for 302 central stars with previously determined central-star temperatures. We find that the mass distribution of the central stars strongly peaks at 0.6 M⊙, with 66% of the sample having masses <0.64 MM⊙. The luminosities of the central stars are then derived from their positions in the HR diagram according to their core masses and central star temperatures. If this method of mass (and luminosity) determination turns out to be accurate, we can bypass the extremely unreliable estimates for distances, and will be able to derive other physical properties of planetary nebulae.


Information ◽  
2019 ◽  
Vol 10 (4) ◽  
pp. 138 ◽  
Author(s):  
Wu ◽  
Shao ◽  
Feng

The evolution of a collaborative innovation network depends on the interrelationships among the innovation subjects. Every single small change affects the network topology, which leads to different evolution results. A logical relationship exists between network evolution and innovative behaviors. An accurate understanding of the characteristics of the network structure can help the innovative subjects to adopt appropriate innovative behaviors. This paper summarizes the three characteristics of collaborative innovation networks, knowledge transfer, policy environment, and periodic cooperation, and it establishes a dynamic evolution model for a resource-priority connection mechanism based on innovation resource theory. The network subjects are not randomly testing all of the potential partners, but have a strong tendency to, which is, innovation resource. The evolution process of a collaborative innovation network is simulated with three different government behaviors as experimental objects. The evolution results show that the government should adopt the policy of supporting the enterprises that recently entered the network, which can maintain the innovation vitality of the network and benefit the innovation output. The results of this study also provide a reference for decision-making by the government and enterprises.


Author(s):  
István Fazekas ◽  
Attila Barta ◽  
Csaba Noszály ◽  
Bettina Porvázsnyik

2018 ◽  
Vol 10 (10) ◽  
pp. 3699 ◽  
Author(s):  
WeiMing Mou ◽  
Wing-Keung Wong ◽  
Michael McAleer

Supply chain finance has broken through traditional credit modes and advanced rapidly as a creative financial business discipline. Core enterprises have played a critical role in the credit enhancement of supply chain finance. Through the analysis of core enterprise credit risks in supply chain finance, by means of a ‘fuzzy analytical hierarchy process’ (FAHP), the paper constructs a supply chain financial credit risk evaluation system, making quantitative measurements and evaluation of core enterprise credit risk. This enables enterprises to take measures to control credit risk, thereby promoting the healthy development of supply chain finance. The examination of core enterprise supply chains suggests that a unified information file should be collected based on the core enterprise, including the operating conditions, asset status, industry status, credit record, effective information to the database, collecting related data upstream and downstream of the archives around the core enterprise, developing a data information system, electronic data information, and updating the database accurately using the latest information that might be available. Moreover, supply chain finance and modern information technology should be integrated to establish the sharing of information resources and realize the exchange of information flows, capital flows, and logistics between banks. This should reduce a variety of risks and improve the efficiency and effectiveness of supply chain finance.


2021 ◽  
Vol 13 ◽  
pp. 101-108
Author(s):  
Yunfan Yang ◽  
Luyao Han ◽  
Bohan Zhang ◽  
Xiong Yang

The rapid development of economic globalization and the promotion of emerging technologies have spawned a Service-oriented logic that gradually dominates the contemporary industry, and the path for manufacturing companies to improve performance has become more and more complicated. Based on this background, the article uses the data of A-share listed companies in the manufacturing industry in the Yangtze River Delta and the Pearl River Delta in 2019, and uses the research method of fuzzy set qualitative comparative analysis to empirically study the core path and mechanism of multiple complex factors that affect corporate performance. The research results show that manufacturing companies can choose four paths to improve corporate performance (supply chain integration-driven based on internal control, servicing and market dual logic based on internal control-based integration-driven, relying on exploration and innovation-based integration-driven, Relying on the integration-driven type of dual innovation and balance), and found that the core role of supply chain integration and servicing level has become more prominent, becoming a key factor leading to high corporate performance. This research is helpful to identify the influence mechanism of supply chain integration, service level and other factors on corporate performance, and grasp the core of configuration, which has certain reference significance for corporate managers.


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