Highway Operation Safety Management Decision-Making Model

Author(s):  
Zhang Huili ◽  
Sun Hailong ◽  
Kang Yongzheng
1981 ◽  
Vol 63 (2) ◽  
pp. 270-274 ◽  
Author(s):  
David L. Debertin ◽  
Charles L. Moore ◽  
Larry D. Jones ◽  
Angelos Pagoulatos

2013 ◽  
Vol 347-350 ◽  
pp. 2418-2421
Author(s):  
Yuan Li ◽  
Wen Qing Zhang ◽  
Hua Liu ◽  
Hui Qin Yang ◽  
Xu Ning Liu

Tree growth management decision-making model can simulate growth management of tree and perform quantitative analysis of tree growth conditions. This paper explores the feasibility of modern information technology in management assessment of tree growth, information technology include neural network, ontology and expert system technology, then ontology technology is used to establish ontology database and knowledge base of tree growth management resource, the growth simulation and tree growth management ontology technology are used to build simulation models of tree growth, then expert systems and neural network technology are combined to simulate tree growth development process of decision-making model. The practice has proved that the research can not only predict the growth conditions of tree and dynamic grasp the growth process of the tree, but also can provide theoretical basis for the analysis and evaluation of tree growth management, greatly improving the level of tree growth management.


2020 ◽  
Vol 127 ◽  
pp. 104705 ◽  
Author(s):  
Mohammad Yazdi ◽  
Faisal Khan ◽  
Rouzbeh Abbassi ◽  
Risza Rusli

2020 ◽  
Vol 23 (5) ◽  
pp. 54-66
Author(s):  
S. A. Tolstykh

In modern conditions of limited budget for enterprises of aerodrome operators, the task of optimizing decision making in flight safety management is becoming extremely urgent. Management decisions, which are a safety management tool, must be not only effective in terms of expected improvements in safety, but also cost-effective and appropriate for the enterprise. Optimization in this article should be understood in terms of the mentioned criteria. The article presents a method for supporting management decision-making as part of a safety management strategy for the activities of aerodrome operators. In the presented methodology, an important place is given to indicators of the level of safety of flights and their use in making managerial decisions. Along with the safety indicator, an indicator of financial damage from recorded events is used, which is calculated in value terms taking into account direct and indirect damage to the aerodrome operator. Regression modeling is used in conjunction with the decision-making technique of “human-machine procedures”. Regression analysis is performed using STATISTICA software, and allows you to identify the dependence of indicators on the degree of influence of hazard factors. The resulting model, based on data from last year, makes it possible to forecast the values of indicators for the next. Using the decision-making methodology of “human-machine procedures”, an assessment is made of the priority of implementing managerial decisions based on an integrated criterion. The methodology ensures compliance with the requirements of Russian and international air legislation for operators of certified aerodromes. The scope of its application can be expanded to SMS of all aviation service providers, taking into account the relevant specifics of the services provided and the existing hazard factors.


2019 ◽  
Vol 21 (2) ◽  
pp. 81-92
Author(s):  
Angela Curtean-Bănăduc ◽  
Ioana-Cristina Cismaş ◽  
Doru Bănăduc

Abstract ADONIS:CE has been used as a base to create a support-system management decision-making model for Alburnus alburnus (Linnaeus, 1758) and Alburnoides bipunctatus (Bloch, 1782) species. Investigation of the habitat necessities and the identification of the necessary elements for a good status of conservation of these two fish species populations has revealed the pressures and threats to these congener species, for which specific management activities have been finally recommended.


2008 ◽  
Vol 23 (6) ◽  
pp. 1268-1279 ◽  
Author(s):  
Leigh A. Baumgart ◽  
Ellen J. Bass ◽  
Brenda Philips ◽  
Kevin Kloesel

Abstract Emergency managers make time-sensitive decisions in order to protect the public from threats including severe weather. Simulation and questionnaires were used to capture the decision-making process of emergency managers during severe weather events. These data were combined with insights from emergency manager instructors, National Weather Service (NWS) forecasters, and experienced emergency managers to develop a descriptive decision-making model of weather information usage, weather assessments, and decisions made during severe weather. This decision-making model can be used to develop better decision support tools, improve training, and to understand how innovative weather information could potentially affect emergency managers’ role of protecting the public.


2018 ◽  
Vol 17 (2) ◽  
pp. 55-65 ◽  
Author(s):  
Michael Tekieli ◽  
Marion Festing ◽  
Xavier Baeten

Abstract. Based on responses from 158 reward managers located at the headquarters or subsidiaries of multinational enterprises, the present study examines the relationship between the centralization of reward management decision making and its perceived effectiveness in multinational enterprises. Our results show that headquarters managers perceive a centralized approach as being more effective, while for subsidiary managers this relationship is moderated by the manager’s role identity. Referring to social identity theory, the present study enriches the standardization versus localization debate through a new perspective focusing on psychological processes, thereby indicating the importance of in-group favoritism in headquarters and the influence of subsidiary managers’ role identities on reward management decision making.


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