The Conflict-Measurement Index System Study among Project Managers in Multi-project Environment

Author(s):  
Li Lin ◽  
Guo Wenjie ◽  
Wang Furong
2014 ◽  
Vol 1073-1076 ◽  
pp. 2493-2498
Author(s):  
Shi Jie Song ◽  
Jin Suo Zhang ◽  
Wei Zhang ◽  
Yu Li

Green development is the inevitable choice on sustainable development of Shaanxi province in coal mining area. First, the environment capacity of coal mining area is defined from the point of view of comprehensive environmental capacity, which expounds the scientific connotation in the particularity of the coal mining area and coal industry. On this basis, three the key affecting factors of carrying capacity of environment in coal mining area are selected, which are mining subsidence, damaged shallow groundwater, and industrial "three wastes" pollution. Second, from the point of he comprehensive environmental capacity, the measurement framework of green development degree in coal mining area is built. And it takes the key affecting factors as the subsystem. On this basis, the measurement index system of green development degree in coal mining area is established. And it has 9 first grade indexes, which are ratio of rock and mining, form of surface subsidence, buried depth of ecological groundwater, space relationship of diversion fissure zone and key to aquifer, the capacity of regional atmospheric environment, the capacity of regional water environment, waste emissions, vegetation coverage, soil erosion modulus. At last, this paper is using the AHP method and entropy method to establish the measure indication system of green development degree on coal mine area in Northern Shaanxi.


2019 ◽  
Vol 11 (23) ◽  
pp. 6573 ◽  
Author(s):  
Zhixin Wang ◽  
Yue Wang

Confirmation warehouse financing is an important model in supply chain finance. This type of financing has special characteristics due to the existence of the reverse repurchase link, and it increases the risk commitment of the core enterprise at a certain level. Previous research on supply chain financial risk mostly settled in ‘all-industry, multi-model’, ignoring the special risks of single mode. To supplement the vacancies in the current research, the special risks of supply chain finance should be identified under a single model. On this basis, a measurement index system for confirmation warehouse financing risk is created. The article uses a Back Propagation (BP) neural network to build a Third Party Logistics (3PL) perspective of the risk measurement model for confirmation warehouse financing. The said network is combined with the 24 sets of actual cases from ZY Logistics. MATLAB is used to train the sample data. Results show that the absolute errors—0.042998, −0.011102, 0.020514 and 0.039448—between the training value and the predicted value are smaller than the preset error value. Among the 24 cases, high-risk businesses reached 41.7%, whereas low-risk businesses only accounted for 29.2%. The ZY enterprise confirms that warehouse financial business risk is high, and this situation should be revised. Research shows that the risk measurement indicator system has good risk prediction ability. This study establishes and verifies the rationality of the risk measurement index system and provides a reliable reference for 3PL risk aversion in supply chain finance.


2021 ◽  
Vol 268 ◽  
pp. 01063
Author(s):  
Yunqing Chen ◽  
Ping Wang

Against the present background of trade protectionism and anti-globalization, an independent and controllable high-end equipment manufacturing industry has become the focus of attention from all walks of life. Based on industrial safety and some related theories, this paper analyzes the connotation of an independent and controllable high-end equipment manufacturing industry, constructs a measurement index system of it with patent information, and designs a solution by a combination of “Entropy Method + TOPSIS”. At the end of the paper, by using the relevant data of global patent database, the offshore equipment manufacturing industry is taken as an example to measure its ability of independence and controllability. The results show that the measurement index data is consistent with the development status of China's offshore equipment manufacturing industry, which verifies the effectiveness of the index system and measurement method.


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