SCHEDULING AND THE POWER OF AI
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2 SCHEDULING AND THE POWER OF AI Moderated by Scott Blair Managing Editor Engineering News-Record
3 SCHEDULING AND THE POWER OF AI Chris Callen CEO Grit Virtual, Inc. Michael Gekas, AIA Virtual Construction Manager McCownGordon Construction
4 A Brief History of Time regarding scheduling. The Gantt chart was introduced in 1915 by Henry Gantt and Wallace Clark. Provided a visual representation of activities and their durations. Began to visualize the dependencies between activities. The Gantt chart, a working tool of management; by Clark, Wallace, ; Gantt, Henry Laurence,
5 Evolution Combining 3D and time. Multiple Iterations: Human problem solving. Field Input Not BIMarketing, true value over the aesthetic.
6 Lean/Agile Inspiration Last Planner System Plan input comes from the source of work, SMEs. Wikipedia style. No one knows as much as everyone. Same individuals who will be executing the work, held accountable. Pull Planning Activity duration, crew size, immediate prerequisites. Prerequisites are much easier to identify than successors. Creates network of interdependent activities. Plan + Constraints = Schedule Grit Virtual ENR FutureTech 2018
7 Power of Granularity (the grit) McCownGordon Pilot (2017) Grit LPS: 741 activities McCownGordon: 68 activities Exponential growth in possible construction sequences. Ranking of paths by Criticality (Grit % metric of CP with Float). Less time: 16 hours vs. 40 hours. Grit Virtual ENR FutureTech 2018
8 Power of Granularity (the grit) Master Logistical 6-week Weekly Top-Down: Requires re-planning at each shorter interval. Bottom-Up: Allows every timeframe schedule to communicate. Grit Virtual ENR FutureTech 2018
9 Artificial Intelligence Artificial intelligence (AI, also machine intelligence, MI) is intelligence demonstrated by machines, in contrast to the natural intelligence (NI) displayed by humans and other animals. In computer science AI research is defined as the study of "intelligent agents": any device that perceives its environment and takes actions that maximize its chance of successfully achieving its goals. [1] Colloquially, the term "artificial intelligence" is applied when a machine mimics "cognitive" functions that humans associate with other human minds, such as "learning" and "problem solving". [2] -Wikipedia. A machine that understands its environment and sets out to achieve a goal or set of goals. Grit Virtual ENR FutureTech 2018
10 Artificial Intelligence Usage # 1 Using routing algorithms for project planning optimization. Initial schedule assigns resources based on: No prerequisites or prerequisites completed. Criticality (Critical path plus float) Work area. Background simulations experiment sequences that optimize: The amount of full work days for each trade. Distance traveled from one activity to the next. Shortest overall duration. Grit Virtual ENR FutureTech 2018
11 Generative Scheduling
12 Power of Granularity (the grit) Grit Virtual ENR FutureTech 2018
13 Artificial Intelligence Usage # 2 Feedback loop: Smaller durations allow Boolean (True/False) rather than percent complete responses. Three byproducts from the Project Team that train the system: Recommended activity moved to Committed (correct). Recommended activity not moved to Committed (incorrect). Non recommended activity moved to Committed (incorrect). Grit uses this to help generate better algorithms but also provides dataset for Machine Learning training. Grit Virtual ENR FutureTech 2018
14 Weekly Sprint Planning
15 Percent Plan Complete
16 Decentralized VDC The same phenomenon tablets introduced for digital plansets and forms VR/AR/MR has the power to do for Virtual Design and Construction. Grit Virtual ENR FutureTech 2018
17 Decentralized VDC
18 SCHEDULING AND THE POWER OF AI Raj Bistaiah Scheduling Manager, Chicago Operating Group Mortenson Ifan Williams Senior Projects Control Scheduling Manager Parsons Corp.
19 Ifan Williams Senior Project Controls Scheduling Manager Parsons Corporation ArtificiaL Intelligence Construction Engineering, or ALICE Pilot on a Heavy Civil Bridge Project
20 Raj Bistaiah Scheduling Manager Chicago Operating Group Mortenson Construction ArtificiaL Intelligence Construction Engineering, or ALICE Pilot on Confidential Performing Arts Center Project
21 Revit / Navisworks ModelRe Recipes Contain Required Tasks to Construct an Element Contain Resource Information Supported by Relationships for Elements of the Model Establish Precedence Logic for Construction Sequence or Workflow Generate & Explore Schedules Analyze Schedule
22 Revit / Navisworks ModelRe
23 Recipes Contain Required Tasks to Construct an Element Contain Resource Information
24 Supported by Relationships for Elements of the Model Establish Precedence Logic for Construction Sequence or Workflow
25 Generate & Explore Schedules
26 Analyze Schedule
27 ArtificiaL Intelligence Construction Engineering, or ALICE Confidential PAC Concert hall with lobby, recital hall & support areas Heavy Civil Bridge Project 18 bents and steel girder construction Confidential PAC Milestone Primavera P6 project schedule developed in Jan 2018 Scenario 1 Concert hall roof complete before interior concrete and balconies Scenario 2 Concert hall roof after interior concrete and balconies Heavy Civil Bridge Project Accelerated Primavera P6 Schedule developed in early 2017 Confidential PAC - Phase 1 of the Pilot 1 Week On-site training & project set up Heavy Civil Bridge Project 3 days of On-site training & project set up Confidential PAC - Phase 1 of the Pilot 1 Week Matching ALICE schedules to project P6 schedules Matching P6 schedule over constrained ALICE Heavy Civil Bridge Project - Phase 1 of the Pilot 1 Week Matching ALICE recipes to project P6 construction logic Duplicating recipes to match varying durations
28 ArtificiaL Intelligence Construction Engineering, or ALICE Confidential PAC - Phase 2 of the Pilot 2 Weeks Remove unnecessary constraints & explore program features Self-performed concrete work at an hourly level using production rates. Modeled formwork capacity constraint Refined model, added additional blocks for procurement & interior construction Modeled resources and holiday calendar Running optimization scenarios Heavy Civil Bridge Project - 2 Weeks explore program features Refined recipes to use production rates, deleting redundant recipes Refined model to match construction means and methods
29 ArtificiaL Intelligence Construction Engineering, or ALICE Collective Takeaways from the Pilot Projects Cloud based collaborative program on the web - easy to learn & use. Rule based system in which the planning and scheduling stages are separate. The user sets up the plan, the rule set that governs the construction project, and then explores & generates 4D construction schedules. Level of detail (LOD) of ALICE is dynamic, i.e., you create the plan and as information comes in and design is more complete, you tweak ALICE to reflect this more granular detail. In ALICE, you are certain the constraints are not violated. Recipes and resources are portable Need to develop a different & holistic eco system approach to planning and scheduling. Let the tool explore scheduling options by itself which allows it to find better and cheaper options. As schedulers we are biased in our thinking in how the schedule should go and keep the sequence through various scenarios. In the Wheaton P6 schedule, the precast install sequence was South North - West. Based on the plan, ALICE came up with the optimal sequence of North South West. Multiple schedule options and faster re-sequencing. Program minimizes crew time. Important to have an accurate 3D model that reflects the means and methods of construction.
30 ALICE - Movie
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