Potential Risks and Their Analysis of the Apparel & Textile Industry in Turkey: A Quality-Oriented Sustainability Approach

Abstract

The most significant issues in businesses within the scope of manufacturing and services are the sustainability of production quality, setting quality standards and reducing the waste amount during the manufacturing process. From this point of view, the aim of this study is to provide a better quality level of supplying households’ apparel needs while reducing the environmental, economic and social problems of the sustainable supply chain of the apparel sector and extending the lifecycle of apparel. The importance of risk analyses and calculations in the applications of industrial sectors plays a vital role in evaluating the factors of sustainability dimensions. In order to address this risk analysis in this research, quality-oriented implementations are applied to determine the failure modes and effect analysis (FMEA). The significant factors are determined via Pareto Analysis (PA) to control and prevent potential errors and failures in the manufacturing systems of the textile industry. To achieve the aim of this study, the methodology of the research focuses on discovering failures of negative impact based on the primary factor degrees with the computing of risk priority numbers (RPNs) in the manufacturing process of the textile-apparel industry in Turkey. According to the ranking of the RPNs, FMEA application and PA enable to decrease the effects of negative factors and risks as well as the waste amount of the apparel-textile industry, as well as to increase the lifecycle of apparel and products.

The Key Drivers of Born-Sustainable Businesses: Evidence from the Italian Fashion Industry

“…It ranks second, after the oil industry, in exerting a negative impact on the environment, also in terms of waste produced [2]. Excessive energy consumption, greenhouse gas emissions (especially for the production of nylon, which generates nitrogen oxide), and high consumption of water and pesticides necessary for the cultivation of cotton just some of the problems associated with pollution in the apparel sector [30]. The higher energy consumption and a high environmental impact are attributed to the production phase, unlike other phases such as transport [2].…”

“…The culture of consumerism is increasingly consolidating, leading to the premature replacement of the product due to the rapid obsolescence of fashion [31]. Consumerism is the belief that emotional and social needs can be met by purchasing goods and services in ever-increasing quantities [30], and this leads people to buy, use, and consume far more raw materials than the earth can sustain [32]. The offer of low-cost clothing encourages consumers to make purchases that are not really necessary from a disposable perspective.…”

Creating proactive behavior for the risk assessment by considering expert evaluation: a case of textile manufacturing plant

“…An empirical analysis was applied at the non-woven fabric manufacturer to measure the performance of extended version of FMEA. Erdil and Tacgin applied the FMEA approach to take into account the risks in providing a higher quality in meeting the clothing needs of the household while reducing the environmental, economic, and social problems of the clothing industry's sustainable supply chain and extending the life of the clothing [24]. Lingam et al implemented various lean tools such as value stream mapping, kaizen, failure mode effect analysis, time, and motion study to reduce the cycle time of T-shirt production [25].…”

Proactive risk assessment via fuzzy approach in a decisional process of consignment stock program adoption

“…The study of the literature on the subject of risk analysing, reveals several risk evaluation approaches, widely used in the business environment, such as the balanced scorecard (BSC) [20], the failure mode effects analysis (FMEA) [21], analytic hierarchy process (AHP) [22], fault tree analysis (FTA) [23], and the risk diagnosing methodology (RDM) [24]. For instance, FMEA is a method that can be used in different fields to analyse the causes and effects of risks, take appropriate and proactive measures in order to increase systems reliability and security [21].…”

“…For instance, FMEA is a method that can be used in different fields to analyse the causes and effects of risks, take appropriate and proactive measures in order to increase systems reliability and security [21]. Another example is RDM approach, which provides strategies to support a given project towards successful implementation, by identifying and managing its potential risks [24]. The project risk is defined by several factors, not only by the risk probability to happen, risk impact and its related effects, but also by the organizations" capability to take the adequate actions, concerning each risk [24].…”