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Symmetry
Volume 13
Issue 2
10.3390/sym13020329
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Article

Analysis of the Optimal Application of Blockchain-Based Smart Lockers in the Logistics Industry Based on FFD-SAGA and Grey Decision-Making

by
Shen-Tsu Wang
1,*,
Meng-Hua Li
2,3 and
Chun-Chi Lien
4
1
Department of Commerce Automation and Management, National Pingtung University, No.51, Minsheng E. Rd., Pingtung City 900, Taiwan
2
Department of Industrial Management & Institute of Industrial Engineering and Management, National Formosa University, Huwei, Yunlin City 632, Taiwan
3
Smart Machine and Intelligent Manufacturing Research Center, National Formosa University, Huwei, Yunlin City 632, Taiwan
4
Department of Business Administrator, National Chung Hsing University, Taichung City 402, Taiwan
*
Author to whom correspondence should be addressed.
Symmetry 2021, 13(2), 329; https://doi.org/10.3390/sym13020329
Submission received: 20 January 2021 / Revised: 5 February 2021 / Accepted: 12 February 2021 / Published: 17 February 2021
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Abstract

Blockchain technology has been applied to logistics tracking, but it is not cost-effective. The development of smart lockers has solved the problem of repeated distribution to improve logistics efficiency, thereby becoming a solution with convenience and privacy compared to the in-store purchase and pickup alternative. This study prioritized the key factors of smart lockers using a simulated annealing–genetic algorithm by fractional factorial design (FFD-SAGA) and grey relational analysis, and investigated the main users of smart lockers by grey multiple attribute decision analysis. The results show that the Web application programming interface (API) concatenation and money flow provider are the key success factors of smart lockers, and office workers are the main users of the lockers. Hence, how to better meet the needs of office workers will be an issue of concern for service providers.
Keywords: blockchain; logistics efficiency; smart lockers; simulated annealing–genetic algorithm by fractional factorial design; grey relational analysis blockchain; logistics efficiency; smart lockers; simulated annealing–genetic algorithm by fractional factorial design; grey relational analysis

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MDPI and ACS Style

Wang, S.-T.; Li, M.-H.; Lien, C.-C. Analysis of the Optimal Application of Blockchain-Based Smart Lockers in the Logistics Industry Based on FFD-SAGA and Grey Decision-Making. Symmetry 2021, 13, 329. https://doi.org/10.3390/sym13020329

AMA Style

Wang S-T, Li M-H, Lien C-C. Analysis of the Optimal Application of Blockchain-Based Smart Lockers in the Logistics Industry Based on FFD-SAGA and Grey Decision-Making. Symmetry. 2021; 13(2):329. https://doi.org/10.3390/sym13020329

Chicago/Turabian Style

Wang, Shen-Tsu, Meng-Hua Li, and Chun-Chi Lien. 2021. "Analysis of the Optimal Application of Blockchain-Based Smart Lockers in the Logistics Industry Based on FFD-SAGA and Grey Decision-Making" Symmetry 13, no. 2: 329. https://doi.org/10.3390/sym13020329

APA Style

Wang, S.-T., Li, M.-H., & Lien, C.-C. (2021). Analysis of the Optimal Application of Blockchain-Based Smart Lockers in the Logistics Industry Based on FFD-SAGA and Grey Decision-Making. Symmetry, 13(2), 329. https://doi.org/10.3390/sym13020329

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