Port Multi-Period Investment Optimization Model Based on Supply-Demand Matching
Zhao Guangtian (),
Wang Keyi (),
Yu Fangping () and
Kuang Haibo ()
Additional contact information
Zhao Guangtian: Faculty of Management and Economics, Dalian University of Technology, Dalian116024, China
Wang Keyi: Faculty of Management and Economics, Dalian University of Technology, Dalian116024, China
Yu Fangping: School of Transportation Management, Dalian Maritime University, Dalian116026, China
Kuang Haibo: School of Transportation Management, Dalian Maritime University, Dalian116026, China
Journal of Systems Science and Information, 2015, vol. 3, issue 1, 77-85
Abstract:
With China’s economic slowdown and port low-level repeated construction, China ports are facing the problem of overheated investment. In this paper, using the port supply-demand balance and comprehensive cost as the two main optimization goals, the ecological carrying capacity and the port profit-loss as the constraints, the port multi-period investment decision optimization model is built up by means of dynamic programming. Sustainable development ability about port supply-demand matching and ecological carrying capacity are considered into the decision-making model, which is used to solve the existing literature disadvantage of port investment planning decision based on operation efficiency and benefit. It helps to prevent the port resources waste and ecological environment destruction, and has the reality instruction significance.
Keywords: port; supply-demand matching; investment optimization; ecological carrying capacity; dynamic programming (search for similar items in EconPapers)
Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://doi.org/10.1515/JSSI-2015-0077 (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:bpj:jossai:v:3:y:2015:i:1:p:77-85:n:8
DOI: 10.1515/JSSI-2015-0077
Access Statistics for this article
Journal of Systems Science and Information is currently edited by Shouyang Wang
More articles in Journal of Systems Science and Information from De Gruyter
Bibliographic data for series maintained by Peter Golla ().