Multi-Criteria Decision Support System (MCDSS) Optimizes Selection of Low-Cost Green Building Materials

Why It Matters

The construction industry faces increasing pressure to adopt sustainable practices. Developing tools that simplify the complex decision-making process for selecting environmentally friendly yet affordable materials is crucial for widespread adoption and impact.

Key Finding

The study demonstrates that a computer-based system, utilizing expert knowledge and a structured decision-making framework like AHP, can effectively guide the selection of affordable and environmentally sound building materials.

Key Findings

• A structured MCDSS can manage the complexity of selecting low-cost green building materials.
• The Analytical Hierarchy Process (AHP) is a viable method for evaluating and prioritizing material options based on multiple criteria.
• Domain expert input and literature review are essential for populating the material database and defining selection criteria.

Research Evidence

Aim: How can a multi-criteria decision support system (MCDSS) be developed to aid designers in selecting low-cost green building materials for residential projects?

Method: Development of a prototype decision support system

Procedure: The research involved developing a prototype MCDSS using macro-in-Excel. This system integrates a database of low-cost green materials with their attributes and performance characteristics. The Analytical Hierarchy Process (AHP) was applied to a material selection problem within the system, with inputs gathered from domain experts and literature reviews.

Context: Housing construction industry, specifically for low-cost green residential projects.

Design Principle

Systematic evaluation of multiple criteria is essential for optimal material selection in complex design challenges.

How to Apply

Develop or utilize a decision support tool that allows for the input of various material attributes (e.g., cost, embodied energy, recyclability, thermal performance) and uses a multi-criteria analysis method to rank options.

Limitations

The prototype was developed using Excel macros, which may have limitations in scalability and user interface compared to dedicated software. The effectiveness is dependent on the quality and comprehensiveness of the input data and expert knowledge.

Student Guide (IB Design Technology)

Simple Explanation: It's hard to pick the best eco-friendly building materials that are also cheap. This study shows that a computer program can help by looking at all the different factors (like cost, how good it is for the environment, and how well it works) to suggest the best options.

Why This Matters: This research is relevant because it provides a method for making informed decisions about materials, which is a core part of any design project, especially when aiming for sustainability and cost-effectiveness.

Critical Thinking: To what extent can a purely quantitative MCDSS account for qualitative factors like aesthetic appeal or local availability when selecting building materials?

IA-Ready Paragraph: The selection of appropriate materials is a critical aspect of design, particularly when balancing cost-effectiveness with environmental considerations. Research by Yang and Ogunkah (2013) highlights the utility of Multi-Criteria Decision Support Systems (MCDSS) in navigating the complexities of choosing low-cost green building materials. Their work demonstrates that a structured approach, employing methods like the Analytical Hierarchy Process (AHP), can systematically evaluate multiple attributes, leading to more informed and optimized material choices for sustainable design projects.

Project Tips

• When selecting materials for a design project, consider creating a simple matrix to compare options based on key criteria.
• Research existing decision support tools or frameworks that can aid in material selection.

How to Use in IA

• Reference this study when discussing the challenges of material selection and how a systematic approach can lead to better outcomes in your design project.

Examiner Tips

• Demonstrate an understanding of the trade-offs involved in material selection and how a systematic approach can mitigate these challenges.

Independent Variable: Attributes and performance characteristics of low-cost green building materials.

Dependent Variable: Selection of the most suitable low-cost green building material.

Controlled Variables: Criteria used in the Analytical Hierarchy Process (AHP), domain expert input, literature review findings.

Strengths

• Addresses a practical problem in the construction industry.
• Proposes a systematic and quantifiable approach to a subjective decision-making process.

Critical Questions

• How adaptable is this system to different geographical regions with varying material availability and environmental regulations?
• What is the computational overhead and expertise required to implement and maintain such a system in a professional design setting?

Extended Essay Application

• An Extended Essay could explore the development and testing of a simplified MCDSS for a specific design challenge, such as selecting materials for a sustainable piece of furniture or a small-scale architectural model.

Source

A Multi-Criteria Decision Support System for the Selection of Low-Cost Green Building Materials and Components · Journal of Building Construction and Planning Research · 2013 · 10.4236/jbcpr.2013.14013