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A Cloud-Based Adaptive Dynamic Budgeting (CADB) Model: A Real-Time Cost-Updating Methodological Framework for Construction Project Budget Management in Peru

This paper proposes the Cloud-based Adaptive Dynamic Budgeting (CADB) model, a methodological framework that leverages cloud computing and real-time Peruvian data sources to dynamically update construction project budgets, offering superior adaptability and cost-deviation tracking compared to traditional static methods, while acknowledging the need for future empirical validation.

Original authors: PAUL RICARDO PRUDENCIO GALVEZ

Published 2026-07-09
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Original authors: PAUL RICARDO PRUDENCIO GALVEZ

Original paper licensed under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). This is an AI-generated explanation of the paper below. It is not written or endorsed by the authors. For technical accuracy, refer to the original paper. Read full disclaimer

Imagine you are planning a massive construction project in Peru, like building a new school or a housing complex. Right now, most small and medium-sized companies in Peru manage their money like they are driving a car with a map from 2010. They make a budget at the very start, and then they only check if they are on track once a month or once a quarter.

The problem? The world changes fast. The price of cement might jump because of currency shifts, a sudden landslide might block a road (making delivery expensive), or heavy rains might delay work. By the time the company checks their "old map" next month, they might already be in deep financial trouble.

The Solution: The "Living Budget" (CADB)

Paul Ricardo Prudencio Gálvez proposes a new way to handle this called the Cloud-Based Adaptive Dynamic Budgeting (CADB) model. Think of this not as a static map, but as a live GPS navigation system for your project's money.

Here is how it works, broken down into simple concepts:

1. The "Smart Dashboard" (The Cloud)

Instead of keeping budget numbers in a locked spreadsheet on a single computer, this model puts the budget in the "cloud." Imagine a shared, magical whiteboard that updates itself instantly. It connects to three main sources of truth in Peru:

  • INEI: The national statistics office (telling it how much prices are rising).
  • SENAMHI: The weather service (telling it if rain or storms are coming).
  • SUNAT: The customs office (telling it about import costs).

2. The Four "Magic Formulas"

The model uses four simple math rules to keep the budget honest in real-time:

  • The Price Chaser: If the price of cement goes up by 8%, the model instantly recalculates the cost of every single cubic meter of concrete in your project. It doesn't wait for next month's report; it adjusts immediately.
  • The Scope Shifter: If you decide to add a new room or change the design, the model instantly figures out how much that extra work costs, including the new price of materials.
  • The "Are We Lost?" Alarm: The system constantly compares what you planned to spend versus what you actually have spent. If you go over budget by just 5%, it sends an automatic alert to the project manager, like a "Low Fuel" light on a car dashboard.
  • The Time-Turner: If a storm delays the project by two weeks, the model instantly calculates how much extra money you need for things like site supervision and equipment rentals that are still running.

3. How It Connects to the Real World

The model acts like a translator between the construction site and the office.

  • Layer 1 (The Eyes): Sensors on the site and public data feeds watch what is happening.
  • Layer 2 (The Brain): The cloud processes the math instantly.
  • Layer 3 (The Voice): A mobile app or website shows the project manager the new numbers and any warnings.
  • Layer 4 (The Hands): It connects to the big company software (like SAP) so the accounting team sees the changes immediately.

What the Paper Actually Says (and What It Doesn't)

It is important to understand the limits of this study, as the author is very clear about them:

  • It's a Blueprint, Not a Finished House: This paper is a theoretical proposal. The author created the formulas and the system design based on existing literature and public data.
  • No Real-World Test Yet: The author explicitly states they did not test this on a real construction site with real money. The "results" are a comparison of how this would work compared to old methods, and a made-up example (a hypothetical housing project) to show how the math works.
  • The Goal: The goal is to provide a replicable foundation. It's like giving engineers a perfect set of blueprints for a new type of bridge. The paper says, "Here is how you build it, and here is why it should work better than the old way."
  • Next Steps: The author suggests that future researchers need to actually build this system and test it on real projects to prove it works in practice.

In Summary:
This paper introduces a "GPS for construction budgets" designed specifically for Peru. It uses cloud technology to automatically adjust costs based on real-time prices, weather, and project changes. While it hasn't been tested on a real job site yet, it offers a clear, mathematical roadmap for how construction companies could stop guessing and start knowing exactly where their money stands at any given second.

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