IDEAS home Printed from https://ideas.repec.org/a/spr/infosf/vyid10.1007_s10796-019-09941-x.html
   My bibliography  Save this article

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, 0. "An Ontology and Multi-Agent Based Decision Support Framework for Prefabricated Component Supply Chain," Information Systems Frontiers, Springer, vol. 0, pages 1-19.
    • Handle: RePEc:spr:infosf:v::y::i::d:10.1007_s10796-019-09941-x
    DOI: 10.1007/s10796-019-09941-x
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10796-019-09941-x
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s10796-019-09941-x?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    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. 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.
    10. 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.
    11. 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.
    12. 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. Lifeng Mu & Vijayan Sugumaran & Fangyuan Wang, 0. "A Hybrid Genetic Algorithm for Software Architecture Re-Modularization," Information Systems Frontiers, Springer, vol. 0, pages 1-29.
    3. Lifeng Mu & Vijayan Sugumaran & Fangyuan Wang, 2020. "A Hybrid Genetic Algorithm for Software Architecture Re-Modularization," Information Systems Frontiers, Springer, vol. 22(5), pages 1133-1161, October.
    4. Mingjing Guo & Ziyu Jiang & Yan Bu & Jinhua Cheng, 2019. "Supporting Sustainable Development of Water Resources: A Social Welfare Maximization Game Model," IJERPH, MDPI, vol. 16(16), pages 1-15, August.
    5. Heng Du & Tiaojun Xiao, 2019. "Pricing Strategies for Competing Adaptive Retailers Facing Complex Consumer Behavior: Agent-based Model," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 18(06), pages 1909-1939, November.
    6. Ata Allah Taleizadeh, 2017. "Stochastic Multi-Objectives Supply Chain Optimization with Forecasting Partial Backordering Rate: A Novel Hybrid Method of Meta Goal Programming and Evolutionary Algorithms," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 34(04), pages 1-28, August.
    7. Rumeng Zhang & Lihong Li, 2023. "Research on Evolutionary Game and Simulation of Information Sharing in Prefabricated Building Supply Chain," Sustainability, MDPI, vol. 15(13), pages 1-24, June.
    8. Anat Goldstein & Lior Fink & Gilad Ravid, 2021. "A Framework for Evaluating Agricultural Ontologies," Sustainability, MDPI, vol. 13(11), pages 1-12, June.
    9. Mahmoud Dehghan Nayeri & Amir-Nader Haghbin & Abdolkarim Mohammadi-Balani & Karim Bayat, 2020. "A multi-objective mean–variance mathematical programming approach to combined phase-out and clearance pricing strategy for seasonal products: case study of a Jeans retailer," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 19(3), pages 210-217, June.
    10. Zaenal Akbar & Hani Febri Mustika & Dwi Setyo Rini & Lindung Parningotan Manik & Ariani Indrawati & Agusdin Dharma Fefirenta & Tutie Djarwaningsih, 2021. "An Ontology-Driven Personalized Faceted Search for Exploring Knowledge Bases of Capsicum," Future Internet, MDPI, vol. 13(7), pages 1-17, June.
    11. Ke Ma & Lichuan Wang & Yan Chen, 2017. "A Collaborative Cloud Service Platform for Realizing Sustainable Make-To-Order Apparel Supply Chain," Sustainability, MDPI, vol. 10(1), pages 1-21, December.
    12. Kannan Govindan, 2016. "Evolutionary algorithms for supply chain management," Annals of Operations Research, Springer, vol. 242(2), pages 195-206, July.
    13. Kwoting Fang & Shuoche Lin, 2019. "An Integrated Approach for Modeling Ontology-Based Task Knowledge on an Incident Command System," Sustainability, MDPI, vol. 11(12), pages 1-26, June.
    14. Amirhosein Gholami & Nasim Nezamoddini & Mohammad T. Khasawneh, 2023. "Customized orders management in connected make-to-order supply chains," Operations Management Research, Springer, vol. 16(3), pages 1428-1443, September.
    15. Victor Dragotă & Camelia Delcea, 2019. "How Long Does It Last to Systematically Make Bad Decisions? An Agent-Based Application for Dividend Policy," JRFM, MDPI, vol. 12(4), pages 1-34, November.
    16. Barenji, Ali Vatankhah & Wang, W.M. & Li, Zhi & Guerra-Zubiaga, David A., 2019. "Intelligent E-commerce logistics platform using hybrid agent based approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 126(C), pages 15-31.
    17. Lihua Jiang & Wei Chen & Shichang Lu & Zhaoxiang Chen, 2022. "Regulatory Effect on Information Sharing of Industrial Internet Platforms Based on Three Differentiated Game Scenarios," Sustainability, MDPI, vol. 15(1), pages 1-25, December.
    18. Yue Chen & Sai-Ho Chung & Shu Guo, 2020. "Franchising contracts in fashion supply chain operations: models, practices, and real case study," Annals of Operations Research, Springer, vol. 291(1), pages 83-128, August.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:infosf:v::y::i::d:10.1007_s10796-019-09941-x. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.