Determination of preferences in auto glass selection process
Abstract
Glass is a solid material with an inorganic amorphous structure, prone to fracture, defined as transparent or translucent, and usually observed in a complicated form. In auto glasses, on the other hand, transparency, that is, light transmittance is directly proportional to the colour of the glass. In auto windows, the colour of the glass is of great importance because the driver's vision is crucial due to specific light transmission rules. However, the thickness of the auto glass characterized as durable also causes different preferences in terms of customer requests. In this study, we carried out to rank the customer preferences based on customer expectations using the sales data for three years in terms of the colour and thickness of auto glass. Within the scope of the study, we proposed a trapezoidal fuzzy number integrated fuzzy entropy and fuzzy TOPSIS model to rank the alternative auto glass. A case study is also presented for illustrative purposes.
Keywords: Auto Glass, MCDM, Trapezoidal Fuzzy Entropy, Trapezoidal Fuzzy TOPSIS
DOI: 10.54941/ahfe1003056
Cite this paper
More from this volume
- Plant Engineer Performance Improvement for Effective Risk Reduction
- 3 sprints from zero to innovative medical device in 16 months: Benefits of combining Human Factors and Agile
- Developing a Quality Control System for Biotechnological Device Inspection Improvement
- Empirical Study of Machine Learning for Intelligent Bearing Fault Diagnosis
- Estimation of relative standard deviation related to limit of detection and limit of quantitation
- Comparison of consumer’s risk quality for different sampling plan corresponding to adjacent sample size
- Harmonizing the graduate attributes of mechanical and industrial engineering with the Fourth Industrial Revolution needs in automotive production
- Factors Influencing Globalization of Logistics Management in Nigeria
- Optimization of Machined Product Quality in The Milling Process of Inconel High-Tech Material
- Analyzing The Effects of Human Resource Allocation and Learning by Experience on Project Management in Defense Industry
- After-Sales Obsolescence Risk Management In Long-Life Defense Projects
- A Conceptualised Rescheduling Approach to Minimise Manufacturing Disruptions in the South African Automotive Industry.


AHFE Open Access