Transactions on Data Analysis in Social Science

Transactions on Data Analysis in Social Science

Providing Solutions for Product Quality Development in Iran's Garment Industry with Industry Satisfaction Analysis Based On QFD-MOORA-SWARA Combined Method

Document Type : Original Article

Authors
S. Ramezani 1
F. Saghafi 2
F. Pournaghi 3
E. Shirafkan 4
1 Master of Industrial Management, Faculty of Management, University of Tehran, Tehran, Iran
2 Associate Professor, Industrial Management Department, School of Managemen, University of Tehran, Tehran, Iran
3 Master's student in Industrial Management, Faculty of Literature, Gilan University Campus, Tehran, Iran
4 Master student of Industrial Management, School of Management, University of Tehran, Tehran, Iran
10.47176/TDASS/2022.96
Abstract
Quality Function Deployment (QFD) serves as an essential methodology for enhancing product quality by systematically addressing customer needs and preferences, thereby fostering higher levels of customer satisfaction. Within the clothing industry, aligning production processes with customer expectations for technical quality significantly influences both satisfaction and purchasing behavior. The Iranian clothing market is predominantly import-driven, with Chinese and Turkish products holding substantial market share. This study aims to propose strategies to enhance product quality, thereby supporting domestic competitiveness. Specifically, it investigates the development of product quality in the garment sector through the integration of QFD, Fuzzy SWARA, and Fuzzy MORA techniques. Customer priority indicators for formal and casual shirts were first determined using the Delphi method and subsequently weighted through the Fuzzy SWARA approach. The Fuzzy MORA technique was employed to construct the communication matrix, linking customer needs to technical production indicators. Findings indicate that sewing quality emerges as the most critical technical factor for both formal and casual shirts. Furthermore, the Fuzzy MORA method was applied to analyze the competitive landscape of the Iranian, Turkish, and Chinese clothing industries. The resulting industry satisfaction index demonstrates that Iran ranks second in terms of customer satisfaction within the Iranian men’s shirt market.
Keywords
Expanding Quality Performance
Clothing
Fuzzy Mora
Fuzzy Sora and Satisfaction Measurement of The Industry
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Transactions on Data Analysis in Social Science
Volume 4, Issue 2
Spring 2022
Pages 96-106

  • Receive Date 10 April 2022
  • Revise Date 08 June 2022
  • Accept Date 23 June 2022