Journal
JOURNAL OF COMPUTING IN CIVIL ENGINEERING
Volume 30, Issue 6, Pages -Publisher
ASCE-AMER SOC CIVIL ENGINEERS
DOI: 10.1061/(ASCE)CP.1943-5487.0000585
Keywords
Excavation-distribution problem; Stackelberg game; Three-level programming; Fuzzy random environment; Interactive fuzzy programming; Particle swarm optimization
Funding
- Key Program of National Natural Science Foundation of China [70831005]
- Research Foundation of Ministry of Education for the Doctoral Program of Higher Education of China [20130181110063]
- Youth Program of National Natural Science Foundation of China [71501137]
- General Program of China Postdoctoral Science Foundation [2015M572480]
- International Postdoctoral Exchange Fellowship Program of China Postdoctoral Council [20150028]
Ask authors/readers for more resources
During the last few decades because of the increasing interactions between the supply chain entities, supply chain management research has matured. However, there has been limited research focused on construction supply chain problems. This paper presents an excavation-distribution problem with two-stage transportation for a two-echelon gravelly soil supply chain in a large-scale hydropower construction project. In this problem, Stackelberg game behavior is used to deal with the complex interactions exhibited between the decision entities in a fuzzy random uncertain environment, and bilevel programming is adopted to find the Stackelberg-Nash equilibrium solution. Further, a novel three-level programming Stackelberg model is developed to examine the dynamic game behavior and complex interactions between the entities and to determine the Stackelberg-Nash equilibrium solution for a gravelly soil two-echelon supply chain. To deal with the uncertainties, a hybrid crisp approach and an expected value operator are used to convert the fuzzy random parameters to definitive parameters. To solve this novel Stackelberg model, a hybrid algorithm combined with interactive fuzzy programming techniques and two types of evolved particle swarm optimization algorithms are designed. The results and an analysis of a practical example at a large-scale hydropower project demonstrate the practicality and efficiency of the proposed model and optimization method.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available