Engineering Cost Estimation Model Based on an Improved Artificial Fish Swarm Algorithm

With the increase of emergencies in large public places, emergency evacuation research has become an important and urgent issue. This paper first proposes a tree hierarchical evacuation network. According to the hierarchical path selection strategy, the evacuation routes are obtained and sorted by the length of route. This hierarchical path selection strategy is more realistic than using the straight line distance. An evacuation model based on hierarchical directed evacuation network is presented in this paper, and a hierarchical directed artificial fish swarm algorithm is proposed to solve the evacuation problem. The model simulates the movements of pedestrians by means of preying, swarming, following and waiting behaviors of artificial fish swarm algorithm. During the evacuation process, the effects of congestion, retrograde and blocking time on evacuation speed and route selection are considered. The simulation results show that the proposed model and algorithm can effectively improve the evacuation efficiency in a stadium, and provide scientific and reasonable path guidance.

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Disease cost estimation model based on improved grey relational analysis and case-based reasoning

2017 International Conference on Grey Systems and Intelligent Services (GSIS) ◽

10.1109/gsis.2017.8077668 ◽

2017 ◽

Cited By ~ 1

Author(s):

Qishan Zhang ◽

Xinhuan Huang ◽

Hong Liu ◽

Jinli Duan

Keyword(s):

Grey Relational Analysis ◽

Cost Estimation ◽

Case Based Reasoning ◽

Estimation Model ◽

Relational Analysis ◽

Model Based ◽

Disease Cost ◽

Cost Estimation Model ◽

Grey Relational ◽

Case Based

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Cost Estimation Model Based on Improved Spreadsheet Algorithm for Assembly Line Manufacturing Systems

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.490-495.2173 ◽

2012 ◽

Vol 490-495 ◽

pp. 2173-2177

Author(s):

Bin Zeng ◽

Rui Wang ◽

Chao Yang Ma

Keyword(s):

Cost Estimation ◽

Manufacturing Systems ◽

Cost Model ◽

Manufacturing Cost ◽

Cost Models ◽

Estimation Model ◽

Stochastic Variation ◽

Virtual Plant ◽

Model Based ◽

Cost Estimation Model

Traditionally assembly cost models are established through static spreadsheet algorithms. However, there are some inherent problems in using spreadsheets for the estimation of manufacturing cost. Among these is the lack of accounting for dynamic effects caused by stochastic variation such as inventory fluctuation, downtimes, supply interruptions, and system failures. Therefore, a dynamic cost estimation model is proposed which can be seen as an integration method between spreadsheet modeling and the virtual plant concept, which maintained the accessibility and flexibility of the spreadsheet model, and did not require a significant increase in the effort level to build a simulation. However, it still includes the effects of interaction between machines, along with simulating random failures, maintenance dispatch and repair. A case study is also tested and the results verify that the methodology demonstrates the feasibility of dynamic cost model based on a number of improvements on static spreadsheet algorithms

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