Multi objective optimization model and algorithm of logistics service transaction matching on blockchain platform

Abstract

The logistics service transaction matching of the blockchain platform is an important part of the transaction. Firstly, the evaluation index system of the logistics service transaction satisfaction degree in the blockchain platform is constructed. According to the evaluation index of the logistics service users and providers, the actual situation of the logistics service transaction and the principle of maximizing the satisfaction degree of the logistics service users and providers, we set the expectation range of both sides and do data standardization, design the calculation method of satisfaction information amount for different expectation data types, build a multi-objective optimization model for logistics service transaction matching on blockchain platform, and seek the matching solution that makes all service users and providers the most satisfaction. Considering the large amount of data in blockchain, the concurrent design of NSGA-II algorithm based on Hadoop is carried out. Through the calculation of the example, in the matching of multi-objective optimization model of logistics service transaction matching on the blockchain platform, when the users and providers of logistics service are more satisfied about the indicators with each other, and then it gets more satisfactory matching results.

Keywords

Blockchain platform logistics service satisfaction transaction matching model NSGA-II algorithm

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References

Podgorelec

Turkanovic

and Karakatic

, A machine learning-based method for automated blockchain transaction signing including personalized anomaly detection, Sensors 20(1) (2019), 147.

Shen

X.Y.

and Yuan

, Selling secondhand products through an online platform with blockchain, Transportation Research Part E 142 (2020), 102063.

Niu

B.Z.

Z.H.

Gao

and Gao

, Should multinational firms implement blockchain to provide quality verification? Transportation Research Part E 145 (2021), 102121.

Tang

C.S.

and Veelenturf

L.P.

, The stategic role of logistics in the industry 4.0 era, Transport Res Part E 129 (2019), 1–11.

Yang

C.S.

, Maritime shipping digitalization Blockchain-based technology applications, future improvements, and intention to use, Transport Res Part E 131 (2019), 108–117.

López

and Farooq

, A multi-layered blockchain framework for smart mobility data-markets, Transport Res Part C 111 (2020), 588–615.

Orji

I.J.

Kusi-Sarpong

Huang

and Vazquez-Brust

, Evaluating the factors that influence blockchain adoption in the freight logistics industry, Transportation Research Part E 141 (2020), 102025.

Wang

J.S.

Nie

E.B.

and Cui

J.X.

, Research on credit rating of weak credit group based on block chain technology, Advances in Economics, Business and Management Research 9 (2017), 839–842.

Christidis

and Devetsikioti

, Blockchains and smart contracts for the Internet of Things, IEEE Access 4 (2016), 2292–2303.

10.

Cheung

K.F.

Bell

M.G.H.

and Bhattacharjya

, Cybersecurity in logistics and supply chain management: An overview and future research directions, Transportation Research Part E 146 (2021), 102217.

11.

Yang

M.S.

Jia

Z.J.

Gong

and Zhang

X.F.

, An association ring signature for block chain e-money transactions, Wuhan University Journal of Natural Sciences 24(2) (2019), 169–175.

12.

El-Borhamy

and Mosalam

, On the existence of periodic solution and the transition to chaos of Rayleigh-Duffing equation with application of gyro dynamic, Applied Mathematics and Nonlinear Sciences 5(1) (2020), 93–107.

13.

Shen

and Huang

G.Q.

, Blockchain-enabled workflow operating system for logistics resources sharing in E-commerce logistics real estate service, Computers & Industrial Engineering 135(2019), 950–969.

14.

Kshetri

, Blockchain’s roles in strengthening cybersecurity and protecting privacy, Telecommunications Policy 41(10) (2017), 1027–1038.

15.

Helo

and Hao

, Blockchains in operations and supply chains: A model and reference implementation, Comput Ind Eng 136 (2019), 242–251.

16.

Yadav

and Singh

S.P.

, Blockchain critical success factors for sustainable supply chain, Resources, Conservation & Recycling 152 (2020), 104505.

17.

Choi

T.M.

and Luo

S.Y.

, Data quality challenges for sustainable fashion supply chain operations in emerging markets: Roles of blockchain, government sponsors and environment taxes, Transport Res Part E 131 (2019), 139–152.

18.

Choi

T.M.

Wen

Sun

X.T.

and Chung

S.H.

, The mean-variance approach for global supply chain risk analysis with air logistics in the blockchain technology era, Transport Res Part E 127 (2019), 178–191.

19.

Morkunas

V.J.

Paschen

and Boon

, How blockchain technologies impact your business model, Bus Horiz. 62(3) (2019), 295–306.

20.

Issaoui

Khiat

Bahnasse

and Ouajji

, Smart logistics: Study of the application of blockchain technology, Procedia Computer Science 160 (2019), 266–271.