LOGISTICS RISK RESEARCH OF PREFABRICATED HOUSE CONSTRUCTION ENGINEERING BASED ON CREDIBILITY METHOD

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  • Xiaoping Bai Xi’an University of Architecture & Technology, School of Management, Xi’an 710055, China
  • Huifang Zhao Xi’an University of Architecture & Technology, School of Management, Xi’an 710055, China

DOI:

https://doi.org/10.14311/CEJ.2017.02.0011

Klíčová slova:

Construction engineering, Prefabricated house, Logistics, Risk, Credibility theory

Abstrakt

In recent years, the prefabricated house industry has rapid development,.Because of fewer suppliers, higher demand transport scheme and complex quality test, the risks of construction engineering logistics links are relatively high. Studying how to effectively evaluate the risks of construction engineering logistics links is significant. According to the characteristics of the prefabricated house construction engineering, we analyse the construction engineering logistics risks and use the combined weights method to determine the weight of indexes which contains both subjective and objective factors, to improve the scientific value and the validity of the assessment. Based on credibility measure method, a new logistics risk evaluation model in prefabricated housing is established to estimate the risk during making prefabricated house construction engineering. The presented model can avoid the subjectivity of selecting the membership function and solve the problem of how to comprehensively assess the construction engineering logistics risk in a certain extent.

Stažení

Data o stažení nejsou doposud dostupná.

Reference

Chunan Xin, Yinghui Cui, Jingjun Zhao. 2007. Research on some problems in the exploration of project logistics. China Water Transport (Academic Version), vol. 5:206-208.

Hao Chen, Qing Wu. 2009. Risk analysis of project logistics based on fuzzy comprehensive evaluation. Logistics Engineering and Management, vol.31, no.3:44-46

Jia D H, Wang S J. 2013. The Logistics Risk Assessment Studies of the Large Equipment of Hydropower Project Based on Three-Dimensional Structure. Advanced Materials Research, vol.734:1647-1655.

Qiong Wang. 2011. Discussion on the risk management of Engineering Project Logistics, Project Management Technology, vol.s1:17-20

Wenzhen Xiao,Zhenyuan Liu. 2010. Multi-level Fuzzy Comprehensive Evaluation of CSC Risk[J].Science & Technology Progress and Policy, vol.27, no.19:158-160

Adil Baykasoglu, Kemal Subulan. 2015. An analysis of fully fuzzy linear programming with fuzzy decision variables through logistics network design problem. Knowledge-based Systems, vol.90(C):165-184

H.Y. Lam, K.L. Choy, G.T.S. Ho, Stephen W.Y. Cheng, C.K.M. Lee. 2015. A knowledge-based logistics operations planning system for mitigating risk in warehouse order fulfillment, international Journal of Production Economics, vol.170(C): 763-779

Kannan Govindan, Atanu Chaudhuri. 2016. Interrelationships of risks faced by third party logistics service providers: A DEMATEL based approach, transportation Research Part E: Logistics and Transportation Review, vol.90: 177-195

Kwanho Kim, Hyunjin Kim, Sang-Kuk Kim, Jae-Yoon Jung. 2016. I-RM: An intelligent risk management framework for context-aware ubiquitous cold chain logistics, Expert Systems with Applications, vol.46: 463-473

A. El Mokrini, E. Dafaoui, A. Berrado, A. El Mhamedi. 2016. An approach to risk Assessment for Outsourcing Logistics: Case of Pharmaceutical Industry, IFAC-Papers OnLine, vol.49, no.12: 1239-1244

Qinquan Cui, Chun-Hung Chiu, Xin Dai, Zhongfei Li. 2016. Store brand introduction in a two-echelon logistics system with a risk-averse retailer, Transportation Research Part E: Logistics and Transportation Review, vol.90: 69-89

Tsan-Ming Choi, Chun-Hung Chiu, Hing-Kai Chan. 2016. Risk management of logistics systems, Transportation Research Part E: Logistics and Transportation Review, vol.90: 1-6

Wisinee Wisetjindawat, Matthew Ian Burke, Motohiro Fujita. 2017. Analysing impacts of natural disasters on logistics activities: flood risks and petroleum fuels in Queensland, Transportation Research Procedia, vol.25:1198-1212

C. Díaz-Delgado, J. Gaytán Iniestra. 2014. Flood Risk Assessment in Humanitarian Logistics Process Design, Journal of Applied Research and Technology, vol.12, no.5: 976-984

Patrick Filla, Katja Klingebiel. 2014. Risk Profiles for the Pre-series Logistics in Automotive Rampup Processes, Procedia CIRP, vol.20:44-49

Ramakrishnan Ramanathan. 2010. The moderating roles of risk and efficiency on the relationship between logistics performance and customer loyalty in e-commerce, Transportation Research Part E: Logistics and Transportation Review, vol.46, no.6: 950-962

M. El-Sayed, N. Afia, A. El-Kharbotly. 2010. A stochastic model for forward–reverse logistics network design under risk, Computers & Industrial Engineering, vol.58, no.3:423-431

Cassidy Johnson. 2007. Impacts of prefabricated temporary housing after disasters: 1999 earthquakes in Turkey, Habitat International, vol.31, no.1: 36-52

Timothy O. Adekunle, M. Nikolopoulou. 2016.Thermal comfort, summertime temperatures and overheating in prefabricated timber housing, Building and Environment, vol. 103: 21-35

Yan Wang, Lei Wang, Enshen Long, Shiming Deng. 2016. An experimental study on the indoor thermal environment in prefabricated houses in the subtropics, Energy and Buildings, vol. 127: 529-539

Rui Jiang, Chengke Wu, Chao Mao. 2016. Asheem Shrestha, Ecosystem Visualization and Analysis of Chinese Prefabricated Housing Industry, Procedia Engineering, vol. 145: 436-443

Joseph H.T. Kim, Yongho Jeon. 2013. Credibility theory based on trimming, Insurance: Mathematics and Economics, vol.53, no.1: 36-47

Elham Pourrahmani. Mahmoud Reza Delavar, Mir Abolfazl Mostafavi, 2015. Optimization of an evacuation plan with uncertain demands using fuzzy credibility theory and genetic algorithm, International Journal of Disaster Risk Reduction, vol.14, no.4: 357-372

Julian K. Ayeh. 2015. Travellers’ acceptance of consumer-generated media: An integrated model of technology acceptance and source credibility theories, Computers in Human Behavior, vol.48: 173-180

Yongqing Feng, Wenchuan Wu. 2006. Power System Operation Assessment Based on Credibility Theory (Part Two). Automation of Electric Power Systems, vol.02:11-15+21

Jialing Liu,Mingming Fu. 2016. Application of Optimal Combined Weights Method in Information Security Risk Assessment. Journal of Chongqing University of Technology (Natural Science), vol. 03:87-93

Stahování

Publikováno

2017-07-31

Jak citovat

Bai, X., & Zhao, H. (2017). LOGISTICS RISK RESEARCH OF PREFABRICATED HOUSE CONSTRUCTION ENGINEERING BASED ON CREDIBILITY METHOD. Stavební Obzor - Civil Engineering Journal, 26(2). https://doi.org/10.14311/CEJ.2017.02.0011

Číslo

Vol 26 No 2 (2017)

Sekce

Articles

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