Using analytic hierarchy process to evaluate the influencing factors of traffic mode - Taking Panzhihua Chengdu line as an example

2020 ◽  
Vol 2 (1) ◽  
pp. 8-16
Author(s):  
Du Tao
Keyword(s):  
Analytic Hierarchy Process ◽  
Influencing Factors ◽  
Analytic Hierarchy ◽  
Hierarchy Process

Application of Analytic Hierarchy Process to Identify the Most Influencing Human Factors (HFs) and Performance Influencing Factors (PIFs) in Process Safety Accidents

2016 ◽  
Author(s):  
Stephen C. Theophilus ◽  
Olayinka G. Abikoye ◽  
Andrew O. Arewa ◽  
Augustine O. Ifelebuegu ◽  
Victor Esenowo
Keyword(s):  
Human Factors ◽  
Analytic Hierarchy Process ◽  
Influencing Factors ◽  
Critical Event ◽  
Illustrative Case ◽  
Critical Events ◽  
Analytic Hierarchy ◽  
Hydrocarbon Processing ◽  
Hierarchy Process ◽  
Performance Influencing Factors

ABSTRACT Numerous studies suggest that 80% of accidents in hydrocarbon processing industries are as a result of human factors (HFs). While a lot is known of human factor influence to process accident, the effects of performance influencing factors (PIFs) on human factors in process accidents is not yet well understood. This study examined HFs and PIFs which influences the propagation of undesired occurrences in hydrocarbon processing industries. An illustrative case study of the Tesoro refinery accident was analysed. To affirm consistency in judgments, Analytic Hierarchy Process AHP – a multi-criteria decision-making method was used in identifying HFs and PIFs of critical events. BPMSG AHP computer program was also used to validate results obtained from the manual calculations. Three critical events namely non-routine operations (Event 1), manual manipulation of several isolation block valves (Event 2) and automated start-up operations of Naphtha Hydro-Treating unit (Event 3) were identified. The ranking of PIFs revealed that Procedures, Level of Supervision, Task Characteristics, and Skill Level were major influencing factors to the event. Analysis of human factors revealed that Job Factors had the most significant influence (41%), while the Individual Factors and Organisational Factors had (31%) and (28%) influence respectively. The consistency index (CI) and consistency ratios (CR) of the PIFs were 0.174 and 0.193 for critical Event 1; 0.170 and 0.120 for critical Event 2; and, 0.037 and 0.033 for critical Event 3 respectively. This showed consistency in judgments of the study on PIFs selected for the critical events identified. The Tesoro refinery accident was due to latent organisational and cultural failures.

scholarly journals Durability Assessment of Lightweight Cellular Concrete in Subgrade by the Method of Analytic Hierarchy Process Combined with Fuzzy Comprehensive Evaluation

2019 ◽  
Vol 2019 ◽  
pp. 1-10
Author(s):  
Xin Liu ◽  
Chengwei Ni ◽  
Liye Zhang ◽  
Ke Sheng ◽  
Baoning Hong
Keyword(s):  
Analytic Hierarchy Process ◽  
Influencing Factors ◽  
Comprehensive Evaluation ◽  
Fuzzy Comprehensive Evaluation ◽  
Assessment Method ◽  
Assessment Model ◽  
Analytic Hierarchy ◽  
Durability Assessment ◽  
Hierarchy Process ◽  
Cellular Concrete

The durability of lightweight cellular concrete (LCC) and the corresponding assessment method are studied in this paper to improve the utilization of LCC in subgrade construction engineering. The durability assessment method is established by combining the analytic hierarchy process (AHP) with fuzzy comprehensive evaluation (FCE). The main assessment processes are as follows. Firstly, based on the physical and mechanical properties of LCC, the influencing factors are selected in terms of preliminary design, construction technology, and operation and management after completion of construction. The grading standard of influencing factors is established as well. Secondly, a multilevel assessment model with targets level, criteria level, and indexes level is established. AHP determines the effective weight of the lower level relative to the upper level. The consistency check of the judgment matrix is conducted to prove the rationality of the distribution of influencing factors’ effect weight. Thirdly, the membership function which is suitable for each influencing factor is built to calculate the membership degree. Besides, the practicality and reliability of AHP combined with FCE are demonstrated through a practical engineering case, which is the third section of a highway in Guangdong Province, China.

The Study of the Restrain on the Development of Low-Carbon Building

2012 ◽  
Vol 209-211 ◽  
pp. 485-491
Author(s):  
Zhen Dong Ma ◽  
Ping Sheng Xie
Keyword(s):  
Analytic Hierarchy Process ◽  
Influencing Factors ◽  
Social Economic ◽  
Influential Factor ◽  
Low Carbon ◽  
Key Factors ◽  
Analytic Hierarchy ◽  
Framework System ◽  
Hierarchy Process

This article intended to analyze the factors that affect the development of low-carbon building, to establish a low-carbon building Influencing factors framework system with social, economic, technique, management index, combining Analytic Hierarchy Process and DEMATEL method, to provide reference for the authority to promote low-carbon building by processing the influential factor in the framework and providing 5 key factors that restrain the development of low-carbon building.

Fuzzy Decision of Antiquated Buildings Demolition Method

2013 ◽  
Vol 838-841 ◽  
pp. 2768-2772
Author(s):  
Xu Kuo Gao ◽  
Qiong Wang
Keyword(s):  
Analytic Hierarchy Process ◽  
Influencing Factors ◽  
Optimal Choice ◽  
Fuzzy Analytic Hierarchy Process ◽  
Fuzzy Decision ◽  
Analytic Hierarchy ◽  
Optimization System ◽  
Comparison And Analysis ◽  
Set Up ◽  
Hierarchy Process

The article discussed the demolition way of antiquated buildings and the influencing factors of strategy optimization, and then it set up the index optimization system, using fuzzy analytic hierarchy process (FAHP) to determine the demolition scheme for the antiquated buildings, and ultimately selected the optimal way. Through comparison and analysis, selective demolition is the optimal choice in the demolition process of the antiquated buildings.

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