An Industrial Blockchain-Based Multi-Criteria Decision Framework for Global Freight Management in Agricultural Supply Chains
In view of increasing supply chain disruption events, for example the China–United States trade war, the COVID-19 pandemic, and the Russia–Ukraine war, the complexity and dynamicity of global freight management keeps increasing. To build a resilient and sustainable supply chain, industrial practitio...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-09-01
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| Series: | Mathematics |
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| Online Access: | https://www.mdpi.com/2227-7390/10/19/3550 |
| _version_ | 1827654036729364480 |
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| author | Dilupa Nakandala Yung Po Tsang Henry Lau Carman Ka Man Lee |
| author_facet | Dilupa Nakandala Yung Po Tsang Henry Lau Carman Ka Man Lee |
| author_sort | Dilupa Nakandala |
| collection | DOAJ |
| description | In view of increasing supply chain disruption events, for example the China–United States trade war, the COVID-19 pandemic, and the Russia–Ukraine war, the complexity and dynamicity of global freight management keeps increasing. To build a resilient and sustainable supply chain, industrial practitioners are eager to systematically revamp the freight management decision process related to the selection of carriers, shipping lanes, and third-party logistics service providers. Therefore, this study aims at strengthening decision-making capabilities for global freight management, in which an industrial blockchain-based global freight decision framework (IB-GFDF) is proposed to incorporate consortium blockchain technology with the Bayesian best-worst method. Through the blockchain technology, pairwise comparisons can be conducted over the international freight network in a decentralized and immutable manner, and thus, a secure and commonly agreed-on pairwise comparison dataset is acquired. Subsequently, the pairwise comparison dataset with multi-stakeholder opinions is analyzed using the Bayesian best-worst method in order to prioritize the selection decision criteria related to carriers, shipping lanes, and 3PL service providers for global freight management. To verify the methodological feasibility, a case study of an Australian agricultural supply chain firm was conducted to support the development end-to-end (E2E) supply chain solutions originated from Australia. It was found that port infrastructure, ports of call and communication effectiveness were the major criteria for the selection decision, which can be emphasized in future global freight collaboration. In addition, an immutable and append-only record of pairwise comparisons can be established to support the visibility of time-varying stakeholders’ preferences. |
| first_indexed | 2024-03-09T21:28:53Z |
| format | Article |
| id | doaj.art-bdfc7d96301b4299b49ec62b82d6448c |
| institution | Directory Open Access Journal |
| issn | 2227-7390 |
| language | English |
| last_indexed | 2024-03-09T21:28:53Z |
| publishDate | 2022-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Mathematics |
| spelling | doaj.art-bdfc7d96301b4299b49ec62b82d6448c2023-11-23T21:03:26ZengMDPI AGMathematics2227-73902022-09-011019355010.3390/math10193550An Industrial Blockchain-Based Multi-Criteria Decision Framework for Global Freight Management in Agricultural Supply ChainsDilupa Nakandala0Yung Po Tsang1Henry Lau2Carman Ka Man Lee3School of Business, Western Sydney University, Sydney 2750, AustraliaDepartment of Industrial and Systems Engineering, The Hong Kong Polytechnic University, Hunghom, Hong KongSchool of Business, Western Sydney University, Sydney 2750, AustraliaDepartment of Industrial and Systems Engineering, The Hong Kong Polytechnic University, Hunghom, Hong KongIn view of increasing supply chain disruption events, for example the China–United States trade war, the COVID-19 pandemic, and the Russia–Ukraine war, the complexity and dynamicity of global freight management keeps increasing. To build a resilient and sustainable supply chain, industrial practitioners are eager to systematically revamp the freight management decision process related to the selection of carriers, shipping lanes, and third-party logistics service providers. Therefore, this study aims at strengthening decision-making capabilities for global freight management, in which an industrial blockchain-based global freight decision framework (IB-GFDF) is proposed to incorporate consortium blockchain technology with the Bayesian best-worst method. Through the blockchain technology, pairwise comparisons can be conducted over the international freight network in a decentralized and immutable manner, and thus, a secure and commonly agreed-on pairwise comparison dataset is acquired. Subsequently, the pairwise comparison dataset with multi-stakeholder opinions is analyzed using the Bayesian best-worst method in order to prioritize the selection decision criteria related to carriers, shipping lanes, and 3PL service providers for global freight management. To verify the methodological feasibility, a case study of an Australian agricultural supply chain firm was conducted to support the development end-to-end (E2E) supply chain solutions originated from Australia. It was found that port infrastructure, ports of call and communication effectiveness were the major criteria for the selection decision, which can be emphasized in future global freight collaboration. In addition, an immutable and append-only record of pairwise comparisons can be established to support the visibility of time-varying stakeholders’ preferences.https://www.mdpi.com/2227-7390/10/19/3550global freight managementagricultural supply chainconsortium blockchainbest-worst methoddecision framework |
| spellingShingle | Dilupa Nakandala Yung Po Tsang Henry Lau Carman Ka Man Lee An Industrial Blockchain-Based Multi-Criteria Decision Framework for Global Freight Management in Agricultural Supply Chains Mathematics global freight management agricultural supply chain consortium blockchain best-worst method decision framework |
| title | An Industrial Blockchain-Based Multi-Criteria Decision Framework for Global Freight Management in Agricultural Supply Chains |
| title_full | An Industrial Blockchain-Based Multi-Criteria Decision Framework for Global Freight Management in Agricultural Supply Chains |
| title_fullStr | An Industrial Blockchain-Based Multi-Criteria Decision Framework for Global Freight Management in Agricultural Supply Chains |
| title_full_unstemmed | An Industrial Blockchain-Based Multi-Criteria Decision Framework for Global Freight Management in Agricultural Supply Chains |
| title_short | An Industrial Blockchain-Based Multi-Criteria Decision Framework for Global Freight Management in Agricultural Supply Chains |
| title_sort | industrial blockchain based multi criteria decision framework for global freight management in agricultural supply chains |
| topic | global freight management agricultural supply chain consortium blockchain best-worst method decision framework |
| url | https://www.mdpi.com/2227-7390/10/19/3550 |
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