Will bots take over the supply chain? Revisiting agent-based supply chain automation
| Autor: | Stephen Mak, Alexandra Brintrup, Liming Xu |
|---|---|
| Přispěvatelé: | Mak, S [0000-0001-8030-0289], Apollo - University of Cambridge Repository |
| Rok vydání: | 2021 |
| Předmět: |
FOS: Computer and information sciences
Economics and Econometrics Supply chain management Computer Science - Artificial Intelligence business.industry Computer science Information sharing Supply chain Interoperability Management Science and Operations Research General Business Management and Accounting Automation Industrial and Manufacturing Engineering Agent Artificial Intelligence (cs.AI) Risk analysis (engineering) Agent-based systems Information system business Lagging Enterprise resource planning Autonomy Supply chains |
| DOI: | 10.17863/cam.75099 |
| Popis: | Agent-based systems have the capability to fuse information from many distributed sources and create better plans faster. This feature makes agent-based systems naturally suitable to address the challenges in Supply Chain Management (SCM). Although agent-based supply chains systems have been proposed since early 2000; industrial uptake of them has been lagging. The reasons quoted include the immaturity of the technology, a lack of interoperability with supply chain information systems, and a lack of trust in Artificial Intelligence (AI). In this paper, we revisit the agent-based supply chain and review the state of the art. We find that agent-based technology has matured, and other supporting technologies that are penetrating supply chains; are filling in gaps, leaving the concept applicable to a wider range of functions. For example, the ubiquity of IoT technology helps agents "sense" the state of affairs in a supply chain and opens up new possibilities for automation. Digital ledgers help securely transfer data between third parties, making agent-based information sharing possible, without the need to integrate Enterprise Resource Planning (ERP) systems. Learning functionality in agents enables agents to move beyond automation and towards autonomy. We note this convergence effect through conceptualising an agent-based supply chain framework, reviewing its components, and highlighting research challenges that need to be addressed in moving forward. 38 pages, 5 figures |
| Databáze: | OpenAIRE |
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