IDEAS home Printed from https://ideas.repec.org/a/gam/jlogis/v3y2019i4p21-d269275.html
   My bibliography  Save this article

Tracking Tagged Inventory in Unstructured Environments through Probabilistic Dependency Graphs

Author

Listed:
  • Mabaran Rajaraman

    (Department of Mechanical Engineering, Carnegie Mellon University, Pittsburgh, PA 15213, USA)

  • Glenn Philen

    (Department of Mechanical Engineering, Carnegie Mellon University, Pittsburgh, PA 15213, USA)

  • Kenji Shimada

    (Department of Mechanical Engineering, Carnegie Mellon University, Pittsburgh, PA 15213, USA)

Abstract

Logging and tracking raw materials, workpieces and engineered products for seamless and quick pulls is a complex task in the construction and shipbuilding industries due to lack of structured storage solutions. Additional uncertainty is introduced if workpieces are stacked and moved by multiple stakeholders without maintaining an active and up-to-date log of such movements. While there are frameworks proposed to improve workpiece pull times using a variety of tracking modes based on deterministic approaches, there is little discussion of cases wherein direct observations are sparse due to occlusions from stacking and interferences. Our work addresses this problem by: logging visible part locations and timestamps, through a network of custom designed observation devices; and building a graph-based model to identify events that highlight part interactions and estimate stack formation to search for parts that are not directly observable. By augmenting the site workers and equipment with our wearable devices, we avoid adding additional cognitive effort for the workers. Native building blocks of the graph-based model were evaluated through simulations. Experiments were also conducted in an active shipyard to validate our proposed system.

Suggested Citation

  • Mabaran Rajaraman & Glenn Philen & Kenji Shimada, 2019. "Tracking Tagged Inventory in Unstructured Environments through Probabilistic Dependency Graphs," Logistics, MDPI, vol. 3(4), pages 1-23, September.
    • Handle: RePEc:gam:jlogis:v:3:y:2019:i:4:p:21-:d:269275
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2305-6290/3/4/21/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2305-6290/3/4/21/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Zakaria Dakhli & Zoubeir Lafhaj, 2018. "Considering Materials Management in Construction: An Exploratory Study," Logistics, MDPI, vol. 2(1), pages 1-13, March.
    2. R. Navon & O. Berkovich, 2006. "An automated model for materials management and control," Construction Management and Economics, Taylor & Francis Journals, vol. 24(6), pages 635-646.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Mabaran Rajaraman & Kyle Bannerman & Kenji Shimada, 2020. "Inventory Tracking for Unstructured Environments via Probabilistic Reasoning," Logistics, MDPI, vol. 4(3), pages 1-29, July.

    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. Honglei Liu & Jiule Song & Guangbin Wang, 2021. "A Scientometric Review of Smart Construction Site in Construction Engineering and Management: Analysis and Visualization," Sustainability, MDPI, vol. 13(16), pages 1-19, August.
    2. Sonja Kolarić & Mladen Vukomanović & Antonio Ramljak, 2022. "Analyzing the Level of Detail of Construction Schedule for Enabling Site Logistics Planning (SLP) in the Building Information Modeling (BIM) Environment," Sustainability, MDPI, vol. 14(11), pages 1-22, May.
    3. Kudrekodlu V. Prasad & Venkatesan Vasugi, 2023. "Readiness Factors for Sustainable Lean Transformation of Construction Organizations," Sustainability, MDPI, vol. 15(8), pages 1-23, April.
    4. Mabaran Rajaraman & Kyle Bannerman & Kenji Shimada, 2020. "Inventory Tracking for Unstructured Environments via Probabilistic Reasoning," Logistics, MDPI, vol. 4(3), pages 1-29, July.
    5. SeyedReza RazaviAlavi & Simaan AbouRizk, 2021. "Construction Site Layout Planning Using a Simulation-Based Decision Support Tool," Logistics, MDPI, vol. 5(4), pages 1-25, September.
    6. Aspasia Koutsokosta & Stefanos Katsavounis, 2020. "A Dynamic Multi-Period, Mixed-Integer Linear Programming Model for Cost Minimization of a Three-Echelon, Multi-Site and Multi-Product Construction Supply Chain," Logistics, MDPI, vol. 4(3), pages 1-35, 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:gam:jlogis:v:3:y:2019:i:4:p:21-:d:269275. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.