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Probabilistic Multi-Criteria Decision-Making for Circularity Performance of Modern Methods of Construction Products

This paper proposes a novel probabilistic multi-criteria decision-making framework that integrates uncertainty analysis to robustly assess the circularity and sustainability performance of Modern Methods of Construction (MMC) products, addressing the current lack of standardized evaluation tools in the industry.

Original authors: Yiping Meng, Sergio Cavalaro, Frozan Dizaye, Mohamed Osmani

Published 2026-06-25

📖 5 min read🧠 Deep dive

CC BY 4.0

Original authors: Yiping Meng, Sergio Cavalaro, Frozan Dizaye, Mohamed Osmani

Original paper licensed under CC BY 4.0 (http://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 the construction industry is a giant, chaotic kitchen trying to bake the perfect cake. For decades, they've been baking in a "linear" way: grab ingredients, bake the cake, eat it, and throw the empty box and crumbs in the trash. This creates a massive pile of waste and uses up all the flour in the world.

Now, everyone wants to switch to a "Circular Economy" kitchen. In this new kitchen, you don't throw things away; you reuse the box, compost the crumbs, and recycle the ingredients to bake again. But here's the problem: How do you know which recipe is actually the best? Is it the one that saves the most money? The one that's fastest? The one that's safest for the chefs? Or the one that creates the least trash?

This paper is like a new, super-smart recipe judge designed to solve this confusion. Here is how it works, broken down into simple parts:

1. The Problem: Too Many Opinions, Not Enough Certainty

In the past, people tried to judge these "Modern Methods of Construction" (MMC) products—like prefabricated walls or panels—by asking a few experts, "Which one is best?"

The Flaw: One expert might say, "Speed is everything!" while another says, "No, safety is the only thing that matters."
The Result: The final score was often just a guess based on who spoke the loudest. It wasn't fair or reliable.

2. The Solution: A "Game of Chance" with a Safety Net

The authors created a new framework that acts like a massive, automated taste-test. Instead of asking just a few people, they gathered opinions from 85 different stakeholders (architects, engineers, contractors, clients, etc.).

But they didn't just take the average. They realized that human opinion is messy and uncertain. So, they used a computer trick called Monte Carlo Simulation.

The Analogy: Imagine you are trying to guess the winner of a horse race. Instead of picking one horse, you run the race 1,000 times on a computer. In every race, you shuffle the horses' speeds slightly to account for bad weather, a stumble, or a lucky break.
The Result: Instead of saying "Horse A wins," you can say, "Horse A wins 90% of the time, but Horse B wins 10% of the time if the track is wet." This gives you a probability rather than a guess. It tells you how likely a product is to be the best, even when things are uncertain.

3. The Scorecard: What Are We Measuring?

To judge the products, the team built a four-layered scorecard. Think of it like grading a student not just on their final exam, but on their whole school year:

The Big Categories (Requirements): Money (Economics), People (Social), Planet (Environment), and How it Works (Technology).
The Details (Criteria): Inside "Money," they look at costs and time. Inside "Planet," they look at carbon emissions and waste.
The Specifics (Indicators): The tiny details, like "how long does it take to assemble?" or "how much does it cost to recycle?"

4. The Test Drive: Three Real-World Contenders

The team tested this new "Probability Judge" on three real types of prefabricated wall panels (the "cakes" in our kitchen):

Panel A: A specific type of wall panel (Spec Wall).
Panel B: A famous brand of façade panel (HardiePanel).
Panel C: A precast concrete wall (DanElement).

They ran the computer simulation 1,000 times for each panel, shuffling the importance of the scores (e.g., sometimes making "Cost" super important, other times making "Safety" super important) to see who came out on top.

5. The Results: Who Won?

The results were clear, but with a twist:

The Overall Winner: Panel C (The Precast Wall) was the most likely to be the best choice. It had a 90.4% chance of being the #1 sustainable option and a 98.8% chance of being the #1 circular option.
The Runner-Up: Panel B came in second.
The Third Place: Panel A came in last.

But here is the interesting part:

If you only care about saving money, Panel C is the clear winner (100% chance).
If you only care about people's health and safety, Panel A actually wins most of the time.
If you only care about technology and innovation, Panel B often takes the lead.

6. The Big Takeaway

The paper claims that by using this "Probability Judge," we stop relying on gut feelings or the loudest voice in the room.

Sustainability vs. Circularity: The study found that while the rankings were similar, the "Circularity" score (how well it fits the reuse/recycle loop) was generally higher than the "Sustainability" score for these products.
The "Sankey" Map: They used a special flow chart (like a river map) to show that some panels are great at saving money but bad at recycling, while others are the opposite.

In short: This paper doesn't just tell you which building product is best; it tells you how confident you can be in that choice, considering that different people value different things. It turns a messy argument into a clear, data-driven probability, helping builders make smarter choices for a greener future.