Title: Research in risk assessment for textile and apparel and propose a future research agenda with a conceptual framework

Authors: Xiongying Wu; Lihong Chen; Yuan Zhou; Xuemin Ding

Addresses: Fashion Institute, Donghua University, 200051 Shanghai, China; Science and Technology Division, Shanghai Entry-Exit Inspection and Quarantine Bureau of PRC, Shanghai, 200135, China ' Business and Management Institute, Donghua University, 200051 Shanghai, China; Key Laboratory of Clothing Design and Technology, Ministry of Education, Donghua University, 200051 Shanghai, China ' Fashion Institute, Donghua University, 200051 Shanghai, China; Key Laboratory of Clothing Design and Technology, Ministry of Education, Donghua University, 200051 Shanghai, China ' Fashion Institute, Donghua University, 200051 Shanghai, China; Key Laboratory of Clothing Design and Technology, Ministry of Education, Donghua University, 200051 Shanghai, China

Abstract: Risk assessment is a critical segment in risk management theory for evaluating the potential risk from a collection of testing data addressing the safety problems of textile and apparel. Risk assessment has become an increasing popular and valuable measure in product safety analysis research, and major industries typically employ different assessment methods. This article describes the process of conducting risk assessment for textile and apparel: selecting evaluation indicators; deciding evaluation principles; developing conceptual assessment framework; conducting the actual assessment (including information how to do the evaluation on popular computer packages such as MATLAB2008a) and doing some more advanced assessment. Guidance is also given on how to write up a risk assessment results for textile and apparel. Quantitative and highly reliable evaluation of textile and apparel risks, relatively easy grading classification and simplicity in operating the evaluation process are the advantages that promote the application of risk assessment model based on fuzzy neural network for textile and apparel, and actual empirical analysis showed considerably good applicability. The research is useful to ensure safety textile and apparel in market, also contributing to the sustainable development of textile industries in future.

Keywords: textile industry; apparel industry; garment industry; clothing industry; safety assessment; risk assessment; fuzzy neural networks; evaluation modelling; risk management.

DOI: 10.1504/IJPQM.2016.074860

International Journal of Productivity and Quality Management, 2016 Vol.17 No.3, pp.273 - 288

Received: 29 Apr 2014
Accepted: 03 Sep 2014

Published online: 17 Feb 2016 *

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