The improvement of block chain technology simulation in supply chain management (case study: pesticide company)

Gozali, Lina and Kristina, Helena Juliana and Yosua, Andrew and Zagloel, Teuku Yuri M. and Masrom, Maslin and Susanto, Sani and Tanujaya, Harto and Irawan, Agustinus Purna and Gunadi, Ariawan and Kumar, Vikas and Garza-Reyes, Jose Arturo and Jap, Tji Beng and Daywin, Frans Jusuf (2024) The improvement of block chain technology simulation in supply chain management (case study: pesticide company). Scientific Reports, 14 (1). ISSN 2045-2322

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This research was conducted on industrial agriculture in Indonesia. Risk analysis was carried out based on previous research. One source of risk was obtained, namely raw materials that did not meet specifications, which was then proposed to be mitigated by evaluating supplier performance. This activity involves a lot of data, requiring efficient and effective data storage and access. The level in the simulation layout includes analysing system needs, using problem diagrams, compiling activity diagrams, deciding subprocesses, and filtering information. The analysis is carried out by comparing the use of supply chains with Blockchain and without Blockchain, which is then obtained to determine whether there is an increase. A sequentially stored data scenario describes a situation when the transaction process is in progress and is stored sequentially according to the process that occurs. Storing data in groups explains a problem when a transaction has been completed and stored in groups with similar data, making it easier to track specific data. In this regard, a simulation will be carried out using a website, namely a blockchain demo. The design stage starts with identifying system requirements, creating use case diagrams, compiling activity diagrams, determining subprocesses, and selecting information. The simulation results obtained will be analysed to determine the feasibility of Blockchain as a means of supporting risk mitigation related to data using aspects, including security, trust, traceability, sustainability, and costs.

Item Type: Article
Identification Number:
3 February 2024Accepted
15 February 2024Published Online
Uncontrolled Keywords: Blockchain, Simulation, Supply chain management, Risk mitigation, Pesticide industry
Subjects: CAH17 - business and management > CAH17-01 - business and management > CAH17-01-01 - business and management (non-specific)
Divisions: Faculty of Business, Law and Social Sciences > Birmingham City Business School
Depositing User: Gemma Tonks
Date Deposited: 11 Mar 2024 16:35
Last Modified: 11 Mar 2024 16:35

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