An Emergency Supplies Scheduling for Chemical Industry Park: Based on Super-Network Theory

In a concentrated area of Chemical Industry Parks (CIPs), emergency relief efficiency is not only affected by the rescue capability of themselves, but also their relationships with other CIPs. Academic literature suggests the use of multiple networks such as transport network and information network, in the emergency process after unexpected events, but rarely integrates them ideally in practice. This paper utilizes the super network theory to propose a regional emergency scheduling model to bridge the logistic and relation among CIPs. The proposed super-network model is composed of resources flow network and relationship network that fill a gap of only considering emergency logistic supply chain. Therefore, the main problem is to how coordinate all the disaster relief actors including primary relief centers (PRC) local relief centers (LRC) and CIPs. The proposed model provides an optional answer regarding the optimal configuration (one-stage or two-stage), the optimal type, number and transportation direction of resources. We turn the optimization problem into a variational inequality problem and develop a modified projection algorithm to solve the problem and compare the performance under several disaster scenarios. The practicability of the model is proved by the result of the numerical example given.

Integrator Scenario: The Emergence of a Curriculum Reconfiguration Proposal

The curriculum can be understood as one of the matrixes in which varied forms of social production are personalized, however, a large part of school curricula has disfavored the social classes most vulnerable. To overcome this, some proposals for curricular reconfiguration emerged in order to promote contextualized and intrinsic of the Science Teaching. The objective of this article is to present the emergency process and the rationale for the proposal of curricular reconfiguration Integrator Scenario built in the context of the GPeCFEC. This proposal integrates sets of elements that enable the study of themes, situations and real problems of social relevance. Thus, a documental analysis was carried out based on a bibliographic survey of monografies and master’s thesis developed respectively within the scope of the Degree in Chemistry and the Graduate Program in Science Education, both from the University. The results of this study show that the Integrator Scenario gives work pedagogical, critical and social perspective beyond the concept learning. This proposal can also contribute to the integration of school, academic and social spaces, in addition to encouraging the different performance of future teachers and the continuing education of their participants.

Actantial Narrative Schema in Emergency Response Process Modeling for Aircraft Fires

Analyzing the emergency response process and time characteristics after aircraft fires is extremely important for airport safety. Due to nonprocess-related elements, the Petri net model of the emergency process is generally complex and difficult to revise and expand. In this study, the actantial model was used to analyze the semantic structure of emergency actions in the Petri net emergency process model, and the actantial-timed Petri net (A-TPN) hybrid model was proposed for problem solving. The emergency response process of aircraft fires was analyzed as a case study to explain the application steps of the A-TPN hybrid model. First, the types of elements should be divided into process-related elements and nonprocess-related elements. Process-related elements include status elements and narrative elements, which are equivalent to the places and transitions in the Petri net model. Second, the workflow constructed by the status and narrative elements is converted into a Petri net. An actantial model is used to analyze the semantic structure of emergency response action narratives. Third, according to the analysis of the actants of the helper and the opponent, emergency action time characteristics are considered to construct the A-TPN hybrid model and analyze the time performance of the emergency response process. In this way, an emergency response plan can be analyzed and promoted for smart development.

Cause factors in emergency process of fire accident for oil–gas storage and transportation based on fault tree analysis and modified Bayesian network model

From the perspective of the safety of emergency process, in this paper, we put forward a new analysis method of cause factors based on fault tree analysis and modified Bayesian network in emergency process of fire accident for oil–gas storage and transportation. Nineteen cause factors are found based on the statistical analysis of actual accident cases. We adopt fault tree analysis method and Bayesian network model to analyze cause factors qualitatively and quantitatively. In order to more accurately determine the quantitative influencing degree of each cause factor, the conditional probabilities in Bayesian network are modified by using expert scoring method and modified Bayesian network model is established. Finally, the proposed method is applied to analyze cause factors in emergency process of two practical accident cases. Research results have an important scientific significance to reveal evolution mechanism of secondary accidents in emergency process and ensure system safety in whole life cycle.