An Ontology and Multi-Agent Based Decision Support Framework for Prefabricated Component Supply Chain

Juan Du (), Hengqing Jing (), Kim-Kwang Raymond Choo (), Vijayan Sugumaran () and Daniel Castro-Lacouture ()
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Juan Du: Shanghai University
Hengqing Jing: Shanghai University
Kim-Kwang Raymond Choo: University of Texas at San Antonio
Vijayan Sugumaran: Oakland University
Daniel Castro-Lacouture: Georgia Institute of Technology

Information Systems Frontiers, 2020, vol. 22, issue 6, No 12, 1467-1485

Abstract: Abstract Due to industrialization and informatization of the construction industry, prefabricated construction has attracted wide attention from both research and practitioner communities. In prefabricated construction, there are exacting requirements for information sharing. Also, data in a prefabricated component supply chain tend to be dispersed in design, production, transportation and other stages. In other words, such data are significantly multi-source heterogeneous. Without an effective way of participating in supply chain dynamic collaboration, decision-making at various stages and resource allocation can be extremely challenging. This paper proposes a decision support framework for prefabricated component supply chain based on ontology and multi-agent. The framework comprises the ontology layer (i.e. provides data support for the model), the agent interaction layer (i.e. serves as the communication hub to coordinate the data transmission between modules), and the agent simulation layer (i.e. simulates interaction behavior of participants, and supports decision making). Using the Shanghai Chenxiang Road Station complex project as a case study, the paper demonstrates the validity of the proposed ontology and multi-agent based decision support framework.

Keywords: Prefabricated components; Supply chain; Ontology; Multi-agent; Simulation (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (1)

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DOI: 10.1007/s10796-019-09941-x

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