This graph displays the process of financial and/or physical progression of the project, which is comparable with the S diagram. This system is also more compatible and unified with the S Diagram Theory, both of which are aggregative. The suggested LJQI (Lift Joint Quality Index), founded by the Delphi Method, is an effective and scientific criteria that is practical for RCC dams. This criterion converts the quality of the concrete layers to a comparable quantity, enabling their rejection or permission. Using semi nonlinear scheduling approach in Zirdan RCC dams, leads to the decrease in costs, along with the advantage of comfortable planning and scheduling. Additionally, the total work procedure is visible at a glance and is easy to control. The intelligence of the aforementioned model is very helpful in reaching reliable data and diagrams. It warns the user of an out-of-range input and requests re-entering it. This prophylactic model reduces the current errors of input data. By omitting recycling and repeated errors, this system produces results faster in comparison to CPM or current LOB, LSM models. Another example of the suggested model’s intelligence is its ability to extinguish the corrupted and ruinous sensors. The additional data amount of this project helps minimize the risks involved. This subsequently allows the stress level of the project manager to be reduced, thus optimizing the end result. These are multiple rewards using the LOB, LSM method for planning and controlling the dam. A simple chart makes it feasible to visualize all the works (parts) and how it is affected by changing the velocity of each activity. This effect could have financial or time precautions. The added emphasis on work velocity with this approach makes it easier to harmonize the various teams, enabling better teamwork and reducing wasted time and energy. This energy includes human resources, materials, and machines. By limiting the wasted time, the costs are minimized. The modified LOB, LSM diagrams are able to more effectively illustrate the activity performance rate than classic methods. These semi non-linear scheduling methods are more beneficial due to their compatibility with RCC’s great construction velocity, which is the major indication for usage of RCC’s. Finally, by creating a novel approach of smart LOB/LSM for RCC dams, with slight variation, it would be practiced for all kinds of structures. This will subsequently help glorify and expand the applications of smart LOB/LSM. This novel approach makes it easier to compare and control the speed of each subcontractor (contractor).
This aids in the selection of the right subcontractor in future projects. The effectiveness of the proposed model was validated using actual data from a real case study (Zirdan RCC dam construction project).