On Improving the Competitiveness of Real Estate Enterprises Based on the Concept of Lean Construction

2013 ◽  
Vol 689 ◽  
pp. 444-447
Author(s):  
Jia Li Yang ◽  
Ying Peng ◽  
Yu Shui Chen

With the rapid development of economic globalization, the competition of the real estate enterprises is increasingly fiercer, and the real estate market changes from seller's market to buyer's market; moreover, requests for technology, scale, function of the construction project, etc. is being more advanced, all of which put forward higher demand to real estate enterprises. Under this background, real estate enterprises must set up a more scientific and more normative management procedure to improve their competition; moreover, Lean Construction is an advanced construction system. It can improve the efficiency of construction, and realize enterprises' own goals finally. It is proved that Lean Construction is advanced and feasibility and it will be the direction of the construction development in the future. This essay defines Lean Construction and introduces some background information of Chinese real estate market at first, then puts forward three measures for improving the competitiveness of real estate enterprise; last but not least, this essay studies on the improvement of enterprise competitiveness based on the idea of Lean Construction from three aspects.

2021 ◽  
Vol 33 (6) ◽  
pp. 1-16
Author(s):  
Delong Zhu

The sudden attack of the new crown virus in 2020 has brought an unprecedented impact on the real estate market economy and has completely disrupted people's work and life rhythm! With the rapid development of the Internet, the Internet has penetrated into all aspects of people's lives. As soon as e-commerce was introduced, it was loved by the majority of young people and brought tremendous changes to people's lives. Based on this, this paper studies a real estate virtual e-commerce model based on big data. In the study of this model, this paper combines the advantages of e-commerce and virtual communities to design a more effective virtual e-commerce model. The analysis of e-commerce and virtual communities shows that the virtual e-commerce model designed in this paper is a more effective model, and the real estate virtual e-commerce model based on big data technology can serve the real estate industry. Do a good job in the sales reform of the real estate industry.


2021 ◽  
Vol 33 (6) ◽  
pp. 0-0

The sudden attack of the new crown virus in 2020 has brought an unprecedented impact on the real estate market economy and has completely disrupted people's work and life rhythm! With the rapid development of the Internet, the Internet has penetrated into all aspects of people's lives. As soon as e-commerce was introduced, it was loved by the majority of young people and brought tremendous changes to people's lives. Based on this, this paper studies a real estate virtual e-commerce model based on big data. In the study of this model, this paper combines the advantages of e-commerce and virtual communities to design a more effective virtual e-commerce model. The analysis of e-commerce and virtual communities shows that the virtual e-commerce model designed in this paper is a more effective model, and the real estate virtual e-commerce model based on big data technology can serve the real estate industry. Do a good job in the sales reform of the real estate industry.


Author(s):  
Ke Ma ◽  
Yichuan Zhang ◽  
Zhongxuan Yang ◽  
◽  

With the rapid development of the real estate market, real estate evaluation is becoming more and more important and active. The real estate is now evaluated according to the expertise and experience of the appraiser. The evaluation results are often influenced by the subjective randomness of the evaluation personnel and the complicated and changeable environmental factors. It is not only a professional technology, but also a complicated art. Therefore, how to improve the scientific, accuracy and efficiency of real estate evaluation has become an important issue that needs to be studied and solved in the real estate evaluation industry. This paper takes mass real estate evaluation system as the research object, adopts the BP neural network to research the design principles of the evaluation system and the design method of the model, and designs and develops the mass intelligent evaluation system to improve the intelligence, scientific, accuracy and credibility of the evaluation system.


2013 ◽  
Vol 457-458 ◽  
pp. 1323-1329
Author(s):  
Ying Wang ◽  
Er Tao Wang

From their own characteristics and actual situation of real estate enterprise, according to the connotation of core competitiveness, through different angles, the paper builds up the index system of the real estate enterprises core competitiveness. Then calculate the core competitiveness of 40 samples with factor analysis method and get the comprehensive score. Found that management ability and operation ability are important factors to decide the real estate enterprises core competitiveness .Based on this study use cluster analysis to classify 40 samples and make comments and suggestions accordingly.


Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-15
Author(s):  
Jingyuan Zhang

In this paper, we propose a new predator-prey nonlinear dynamic evolutionary model of real estate enterprises considering the large, medium, and small real estate enterprises for three different prey teams. A 5D predator-prey nonlinear dynamic evolutionary system in the real estate market is established, where the large, medium, and small real estate enterprises correspond to three differential equations, provincial and local officials, and the central government correspond to the other two differential equations. Nonlinear dynamic analysis on a 5D predator-prey evolutionary system in the real estate market, containing the analysis of equilibrium points and stabilities, is made. The corresponding discrete system is simulated, and the simulation results about Lyapunov spectrum, bifurcation diagram, sequence diagram, and phase diagram are given. Compared with the work of Yang et al. in which all real estate enterprises corresponded to one differential equation, in our proposed model, the large, medium, and small real estate enterprises correspond to three differential equations which is more accordant with the specific circumstance of real estate companies.


2014 ◽  
Vol 543-547 ◽  
pp. 4388-4391
Author(s):  
Yu Feng ◽  
Jian Yin

With the rapid development of China's real estate industry, customers demand for real estate products has changed from the satisfaction of one single criteria to a much more diverse and individualized developmental orientation. But the value evaluation for real estate products varies from person to person, which leads to different customer value. In our country, as one branch market of the real estate industry, the green real estate market should get a thoroughly understanding about the composition of customer value, identify the target customer demand, provide more innovative value for customers, inspire and guide the customer purchasing behavior. This paper, through an analysis of the composition and affected factors of the customer value in green real estate enterprise, aims to conclude the methods for the optimization and innovation of the customer value in green real estate enterprise.


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