Optimizing Transportation Network of Recovering End-of-Life Vehicles by Compromising Program in Polymorphic Uncertain Environment
Joint Authors
Wan, Zhong
Zhang, Jing
Liu, Jingjing
Source
Journal of Advanced Transportation
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-24, 24 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-05-12
Country of Publication
Egypt
No. of Pages
24
Main Subjects
Abstract EN
With rapid development of technology and improvement of living standards, the per capita holding of automobiles greatly increases, and the amount of end-of-life vehicles (ELVs) becomes larger and larger such that it is valuable to investigate an effective strategy for recycling ELVs from the viewpoints of environmental protection and resource utilization.
In this paper, an optimization model with fuzzy and stochastic parameters is built to formulate the transportation planning problems of recycling ELVs in polymorphic uncertain environment, where the unit processing and transportation costs, the selling price of reused items, and the fixed cost are all fuzzy, while the demand in secondary market and the production capacity are random owing to features underlying the practical data.
For this complicated polymorphic uncertain optimization model, a unified compromising approach is proposed to hedge the uncertainty of this model such that some powerful optimization algorithms can be applied to make an optimal recycling plan.
Then, an interactive algorithm is developed to find a compromising solution of the uncertain model.
Numerical results show efficiency of the algorithm and a number of important managerial insights are revealed from the proposed model by scenario analysis and sensitivity analysis.
American Psychological Association (APA)
Zhang, Jing& Liu, Jingjing& Wan, Zhong. 2019. Optimizing Transportation Network of Recovering End-of-Life Vehicles by Compromising Program in Polymorphic Uncertain Environment. Journal of Advanced Transportation،Vol. 2019, no. 2019, pp.1-24.
https://search.emarefa.net/detail/BIM-1169814
Modern Language Association (MLA)
Zhang, Jing…[et al.]. Optimizing Transportation Network of Recovering End-of-Life Vehicles by Compromising Program in Polymorphic Uncertain Environment. Journal of Advanced Transportation No. 2019 (2019), pp.1-24.
https://search.emarefa.net/detail/BIM-1169814
American Medical Association (AMA)
Zhang, Jing& Liu, Jingjing& Wan, Zhong. Optimizing Transportation Network of Recovering End-of-Life Vehicles by Compromising Program in Polymorphic Uncertain Environment. Journal of Advanced Transportation. 2019. Vol. 2019, no. 2019, pp.1-24.
https://search.emarefa.net/detail/BIM-1169814
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1169814