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Blockchain Technology Investment and Sharing Strategy of port supply chain Under Competitive Environment

Journal of Systems Science and Information 2021年第3期9卷 280-309页

作者： Jiaguo LIU Huimin ZHANG Huida ZHAO School of Maritime Economics and Management Dalian Maritime UniversityDalian 116026China

Blockchain technology plays a very positive role in promoting the development of the port supply chain.Although there are some practical examples of blockchain in the port supply chain(eg.Trade Len or Cargo Smart),there are few application scenarios.Therefore,blockchain technology has yet to be widely used in the port industry.This may be related to the construction of blockchain.This paper analyzes the impact of blockchain technology on the port supply chain and the technology sharing on the shipping market.It is found that the investment of blockchain technology in a competitive environment has different characteristics.When the efficiency of technology investment and the proportion of market expansion reach a certain combination,there are two different equilibrium strategy choices:Only technology investment or technology sharing.Based on the above research results,this paper further investigates the results of the comprehensive influence of different factors such as competition intensity and market expansion proportion.

关键词： port supply chain blockchain technology investment technology sharing co-opetition

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Multi-objective Assignment Optimization of port supply chain Based on Interval Analysis

Multi-objective Assignment Optimization of Port Supply Chain...

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第37届中国控制会议

作者： Cheng-Shou Lai Jing Lu Yu Qiao Transportation Engineering College Dalian Maritime University

Aiming at giving full play to the advantages of enterprise operation under the background of professional division of labor, logistics assignment in the port supply chain is studied. The uncertainty of shipper’s demand, unit cost and operating time, which can be described as interval numbers, and an optimization model for port supply chain based on minimization of costs and total operating cycle is established. As the objective function is a nonlinear interval uncertain problem, a double nested genetic algorithm is designed for the assignment problem. In the algorithm, the inner-layer genetic algorithm（IP-GA） is used to solve the objective function interval in the uncertainty domain, while the outer layer is nondominated sorting genetic algorithm（NSGA-Ⅱ）. Finally, a case study is given to demonstrate the superiority and feasibility of the proposed algorithm for multi-objective interval optimization.

关键词： port supply chain Interval Analysis Intergenerational Genetic Algorithm Non-dominated Sorting Genetic Algorithm Nonlinear Programming

来源： cnki会议评论