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

Author

Listed:
  • Juan Du

    (Shanghai University
    Georgia Institute of Technology)

  • 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)

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.

Suggested Citation

  • Juan Du & Hengqing Jing & Kim-Kwang Raymond Choo & Vijayan Sugumaran & Daniel Castro-Lacouture, 2020. "An Ontology and Multi-Agent Based Decision Support Framework for Prefabricated Component Supply Chain," Information Systems Frontiers, Springer, vol. 22(6), pages 1467-1485, December.
    • Handle: RePEc:spr:infosf:v:22:y:2020:i:6:d:10.1007_s10796-019-09941-x
    DOI: 10.1007/s10796-019-09941-x
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    References listed on IDEAS

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    1. Souad Bouaicha & Zizette Boufaida, 2016. "SWRLx: A New Formalism for Hybrid Ontology Reasoning," International Journal of Intelligent Information Technologies (IJIIT), IGI Global, vol. 12(2), pages 53-69, April.
    2. Jeya Mala Dharmalingam & M Eswaran, 2018. "An Agent Based Intelligent Dynamic Vulnerability Analysis Framework for Critical SQLIA Attacks: Intelligent SQLIA Vulnerability Analyzer Agent," International Journal of Intelligent Information Technologies (IJIIT), IGI Global, vol. 14(3), pages 56-82, July.
    3. Robert A. Nehmer & Rajendra P. Srivastava, 2016. "Using Belief Functions in Software Agents to Test the Strength of Application Controls: A Conceptual Framework," International Journal of Intelligent Information Technologies (IJIIT), IGI Global, vol. 12(3), pages 1-19, July.
    4. Xiaoliang Meng & Chao Xu & Xinxia Liu & Junming Bai & Wenhan Zheng & Hao Chang & Zhuo Chen, 2018. "An Ontology-Underpinned Emergency Response System for Water Pollution Accidents," Sustainability, MDPI, vol. 10(2), pages 1-18, February.
    5. Matteo Casu & Giuseppe Cicala & Armando Tacchella, 2013. "Ontology-based data access: An application to intermodal logistics," Information Systems Frontiers, Springer, vol. 15(5), pages 849-871, November.
    6. Steven Walczak, 2018. "Society of Agents: A Framework for Multi-Agent Collaborative Problem Solving," International Journal of Intelligent Information Technologies (IJIIT), IGI Global, vol. 14(4), pages 1-23, October.
    7. Sathiya Balasubramanian & Geetha T. V., 2019. "A New Dynamic Neighbourhood-Based Semantic Dissimilarity Measure for Ontology," International Journal of Intelligent Information Technologies (IJIIT), IGI Global, vol. 15(3), pages 24-41, July.
    8. Yuwei Yan & Jian Zhang & Xiaomeng Ma, 2019. "Modeling of Agent-Based Complex Network to Detect the Trust of Investors in P2P Platform," International Journal of Intelligent Information Technologies (IJIIT), IGI Global, vol. 15(2), pages 20-31, April.
    9. Jian Tan & Guoqiang Jiang & Zuogong Wang, 2019. "Evolutionary Game Model of Information Sharing Behavior in Supply Chain Network With Agent-Based Simulation," International Journal of Intelligent Information Technologies (IJIIT), IGI Global, vol. 15(2), pages 54-68, April.
    10. An Pan & Tsan-Ming Choi, 2016. "An agent-based negotiation model on price and delivery date in a fashion supply chain," Annals of Operations Research, Springer, vol. 242(2), pages 529-557, July.
    11. Shapu Ren, 2017. "Multicriteria Decision-Making Method Under a Single Valued Neutrosophic Environment," International Journal of Intelligent Information Technologies (IJIIT), IGI Global, vol. 13(4), pages 23-37, October.
    12. Xiaochun Sheng & Kefeng Wang, 2017. "Coordination and Optimization of Large Equipment Complete Service in Cloud Based Manufacturing," International Journal of Intelligent Information Technologies (IJIIT), IGI Global, vol. 13(4), pages 56-71, October.
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