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Level: Advanced
TCM Section(s):
11.3. Information Management
7.4. Resource Planning
Venue: 2020 AACE International Conference & Expo
Abstract: Project stakeholders go through painstaking exercise to identify required material and to expedite them for timely delivery to the site in avoiding project delays, thus creating complicated warehousing and logistics challenges of having the right material at the right time and location. This paper presents an analytical model to manage the megaproject warehousing issues. Drones equipped with streaming video capability can help survey a site, identify optimal locations for warehouses, and monitor the jobsite for suspicious activity — allowing the project team to easily monitor locations and quantities of assets and materials at a glance to ensure they will be there when needed. When the request for a particular material arrives, an optimal path is digitally mapped for the drone to travel based on mapping done previously.
The paper will discuss an optimization model for warehouse management through the use of drones and artificial intelligence (AI). An analytical model of warehousing management with huge potential cost and schedule savings will be presented.
TCM Section(s):
11.3. Information Management
7.4. Resource Planning
Venue: 2020 AACE International Conference & Expo
Abstract: Project stakeholders go through painstaking exercise to identify required material and to expedite them for timely delivery to the site in avoiding project delays, thus creating complicated warehousing and logistics challenges of having the right material at the right time and location. This paper presents an analytical model to manage the megaproject warehousing issues. Drones equipped with streaming video capability can help survey a site, identify optimal locations for warehouses, and monitor the jobsite for suspicious activity — allowing the project team to easily monitor locations and quantities of assets and materials at a glance to ensure they will be there when needed. When the request for a particular material arrives, an optimal path is digitally mapped for the drone to travel based on mapping done previously.
The paper will discuss an optimization model for warehouse management through the use of drones and artificial intelligence (AI). An analytical model of warehousing management with huge potential cost and schedule savings will be presented.