Balancing Customer Quality and Environmental Impact in Vehicle Design

Category: Sustainability · Effect: Strong effect · Year: 2023

A multi-criteria decision model can predict vehicle variants that satisfy both customer quality expectations and minimize life cycle environmental impact.

Design Takeaway

Integrate quantitative life cycle assessment alongside user-centric quality metrics early in the design process to identify optimal, sustainable product variants.

Why It Matters

This approach allows designers and manufacturers to proactively integrate sustainability into the product development process. By considering both user satisfaction and ecological footprint early on, design teams can make informed decisions that lead to more desirable and responsible products.

Key Finding

The research demonstrates that by systematically evaluating and weighting customer quality perceptions against environmental impacts across a vehicle's entire life cycle, it's possible to identify optimal design choices that appeal to consumers while being ecologically responsible.

Key Findings

Research Evidence

Aim: To develop a model that supports the prediction of vehicle variants that are satisfactory to the customer in terms of quality level and environmental impact throughout their life cycle.

Method: Multi-Criteria Decision Making (MCDM) incorporating Life Cycle Assessment (LCA), TOPSIS, SMARTER, Pareto-Lorenz, and the 7±2 rule.

Procedure: A model was developed and tested using production variants of battery electric vehicles (BEVs). Quality levels and life cycle assessment scores were estimated and weighted to determine overall vehicle satisfaction and environmental friendliness.

Context: Automotive design and manufacturing, specifically focusing on electric vehicles.

Design Principle

Sustainable design decisions should be informed by a balanced consideration of user needs and comprehensive environmental impact analysis.

How to Apply

When designing new products, especially in sectors with significant environmental impact like transportation, use a multi-criteria decision framework that includes both user-perceived quality and life cycle environmental performance.

Limitations

The model's effectiveness may depend on the accuracy of the input data for quality levels and LCA estimations, and the specific weighting assigned to each criterion.

Student Guide (IB Design Technology)

Simple Explanation: You can figure out the best car design by looking at how good it is for the user and how good it is for the planet over its whole life. This helps make cars people like and that are also eco-friendly.

Why This Matters: This research shows how to make design choices that are not only functional and appealing to users but also responsible towards the environment, a key consideration in modern design.

Critical Thinking: How might the weighting of 'quality level' versus 'environmental impact' change depending on the target market or regulatory environment?

IA-Ready Paragraph: This research highlights the critical need to integrate comprehensive Life Cycle Assessment (LCA) with user-centric quality metrics during the design phase. By employing multi-criteria decision-making models, as demonstrated in the study by Ulewicz et al. (2023), designers can systematically predict and develop product variants that optimally balance customer satisfaction with environmental responsibility throughout the entire product lifecycle, thereby informing more sustainable design strategies.

Project Tips

How to Use in IA

Examiner Tips

Independent Variable: ["Quality level of vehicle variants","Life cycle environmental impact scores"]

Dependent Variable: ["Overall customer satisfaction score","Environmental friendliness score"]

Controlled Variables: ["Type of vehicle (e.g., BEV)","Methodology for LCA calculation","Methodology for quality assessment"]

Strengths

Critical Questions

Extended Essay Application

Source

Sustainable Vehicle Design Considering Quality Level and Life Cycle Environmental Assessment (LCA) · Energies · 2023 · 10.3390/en16248122