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This study proposes a multi-objective production programming model which is established for systematic sorting and remanufacturing second-hand clothes and the objectives are twofold: (1) minimizing the remanufacturing cost to maintain the competitiveness of second-hand clothing industry and (2) maximizing the recycle rate to reduce the environmenta...
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Context 1
... new raw materials are necessary while remanufacturing new recycled products, e.g., sewing new buttons for the missing ones on the recycled clothes. The input of the new raw materials of the center in December 2015, as shown in Table 3, includes (1) cotton and linen, (2) buttons, and (3) printing material. The simulation plan was carried out with fourth, eighth, and tenth batches as cases. ...Context 2
... the total remanufacturing cost decreased by NTD 17,671, a reduction of 5%. Table 13 shows the comparison of the recycling rate and remanufacturing cost between the first and second methods. Under the second method, the recycling rate of sorted old clothes was reduced by 2.2%, and the total remanufacturing cost was reduced by NTD 95,769, a reduction of 24%. ...Citations
... Results indicated that sorting by category maximizes the recycling rate. Remanufacturing costs are minimized by sorting by worn-out condition [58]. ...
This paper presents a comprehensive review of the extant literature to explore if Australian consumers are ready to reuse clothing as a pathway to sustainability. In this study, sustainability aspects such as collaborative consumption, apparel disposal methods, acquisition of used clothing, consumer concerns and attitudes towards reuse, and sellers’ readiness to offer sustainable solutions to clothing consumption have been explored in the context of the Australian market. The most important research contribution of this paper is the answer to whether Australia is ready to adopt the reuse of clothing through remaking and repurposing as a sustainable approach for the consumption of clothing at its end-of-life (EOL). Facilitators and challenges for the secondhand clothing sector have also been discussed. The findings highlight challenges including consumer awareness, an unwillingness to use secondhand clothing, limited recycling facilities, the availability of brand-new cheaper clothing, and the limited range of secondhand clothing. The facilitators include government policies towards recycling, fashion brands’ initiatives, and high-quality rejected clothing with the potential for reuse. It has been established that creating consumer awareness of secondhand clothing is essential to penetrate the market. Furthermore, there are ample opportunities to research consumers and the clothing reuse and recycling sector in Australia.
... The production cost and new material cost are estimated according to the type, wear condition (high, medium, low) and material (cotton, linen, wool, silk, rayon). The appropriate classification of the wear condition and application according to different reuse directions can generate the minimum cost and the maximum recycling profit and utilization rate [48]. It is important to establish the waste grade standard for textiles on the basis of the national waste recycling classification standard for all categories. ...
Waste recycling is an effective way to improve waste management, which is closely related to the support of social and economic foundations. With the development of a circular economy, green consumption is imperative. Most of the environmental protection brand enterprises are now almost limited to the environmental protection of clothing raw materials. However, there are still many problems in the overall industrial chain of the clothing industry, such as the pollution in the processes of processing, transportation and laundry, and the waste of resources caused by a large amount of textile waste after consumption. Starting from the theme of environmental protection and sustainable development of the clothing industry, this paper discusses the necessity of building a recycling system for post-consumer textile waste. Through the investigation of the recycling and reuse of domestic post-consumer textile waste, the existing problems are analyzed, such as the recycling supervision mechanism’s imperfections, the trust crisis and a lack of recycling channels. Combined with the successful cases abroad, some solutions and suggestions are put forward for the regeneration and reuse of post-consumer textile waste, and a preliminary conception of the charitable market system is made.
... Meanwhile, Shu San (2019) used DEMATEL to assess the remanufacturability of mobile phones among the factors: innovation rate, residence time, product residual value, and obsolescence. To provide a systematic sorting and production planning for remanufacturing of used clothing, Lin et al. (2020) developed a multi-objective programming model for minimizing the cost of remanufacturing cost and maximizing the recycle rate to reduce environmental impact. In recent study, Saiz et al. (2021) investigated an ensemble learning-based for automated inspection as well as classification system for the automotive part remanufacturing. ...
The main activities in a remanufacturing system includes core acquisitions, remanufacturing operations, and remarketing. Core acquisitions are challenging for remanufacturers because remanufacturing in closed-loop supply chains is characterized by uncertainty in quality, timing and volume. The uncertainty is generally defined as incomplete or incomplete information. Sorting of quality incoming products in the remanufacturing system is a complex problem. On account of all quality conditions can be related either directly or indirectly, making it difficult to define certain conditions individually. Considering that the acquisition process involves many conflicting assessment criteria and subjective-qualitative considerations, an integrated method is needed to prioritize criteria selected. Therefore, this study makes a major contribution to research on multi-criteria sorting problem by developing a new hybrid method. This study focuses on development of a multi-criteria quality sorting model in the remanufacturing system based on a hybrid approach, namely Decision Making Trial Evaluation and Laboratory (DEMATEL) Analytical Network Process (ANP) and Grey Clustering. The DEMATEL approach is proposed to evaluate and to develop the dependency of criteria, and ANP method is utilized for weighting the criteria as well as Grey Clustering is proposed for modelling of uncertainty issues. The model was successful as it was able to identify the most important criteria which proposed. This work has found that maintenance history is the most important attribute in assessing the quality of incoming cores. This finding has important implication for selecting the best maintenance strategy of heavy-duty equipment during the use phase.
... In the UK, the most effective recycling channels are social welfare organizations and second-hand clothing banks, which collect 230,000 tons a year. However, compared with about 9 million tons of waste clothes, the strength and effect of recycling are not worth mentioning [10]. In China, nearly 100 million tons of waste textiles every year are produced in production and consumption, but the reuse rate is less than 14% [11]. ...
... These DMs, including a purchasing manager (e 1 ), a production manager (e 2 ), a consulting agency director (e 3 ) and industry association experts (e 4 ), are competent in decision-making and have nearly ten years of industry experience. The PyFN is expressed for the importance of DMs based on their educational background, knowledge structure, professional level and working time in the industry, and the weight of DMs is calculated according to Equation (10), as shown in Table 2. The four DMs evaluated the five WCRC alternatives with regard to six attributes, including recovery size (Y 1 ), recovery convenience (Y 2 ), recovery efficiency (Y 3 ), consumer satisfaction (Y 4 ), recovery cost (Y 5 ) and risk bearing (Y 6 ). ...
Under the influence of circular economy theory, waste clothing recycling has been widely studied in the resource sector, and the waste clothing recycling channel (WCRC) is the vital link that affects the recycling efficiency of waste clothing. How to select the optimal WCRC is considered a typical multiple attribute group decision-making (MAGDM) problem. In this article, we develop sine trigonometric interaction operational laws (IOLs) (STIOLs) using Pythagorean fuzzy information. The sine trigonometric interaction Pythagorean fuzzy weighted averaging (STI-PyFWA) and sine trigonometric interaction Pythagorean fuzzy weighted geometric (STI-PyFWG) operators are advanced, and their several desirable properties are discussed. Further, we build a MAGDM framework based on the modified Pythagorean fuzzy CoCoSo (Combined Compromise Solution) method to solve the WCRC selection problem. The combined weight of attributes is determined, and the proposed aggregation operators (AOs) are applied to the CoCoSo method. A Pythagorean fuzzy distance measure is used to achieve the defuzzification of aggregation strategies. Finally, we deal with the WCRC selection problem for a sustainable environment by implementing the proposed method and performing sensitivity analysis and comparative study to validate its effectiveness and superiority.
... Research shows that the intelligent recycling system of waste clothing formed by internet and data analysis can effectively classify and manage waste clothing and allocate resources for reuse [95]. In addition, automatic sorting can improve the production process, production efficiency, and the number of recycled textiles. ...
With the growing frequency and quantity of clothing purchases, the elimination rate of waste clothing is increasing. Many researchers have contributed to the topic of the recycling and reuse of waste clothing, and therefore many related literature reviews are emerging. The current reviews only focus on waste textile recycling and waste-clothing life-cycle evaluation. The topic of waste-clothing recycling itself is ignored. In this article, we propose a systematic review of the recycling and reuse of wasted clothes. Firstly, we summarize the existing methods of waste-clothing collection and recycling and the related recycling technology, and discuss their advantages and disadvantages. The involved literatures are journal articles, book chapters, and conference papers selected from Google Scholar and Web of Science. Citespace software, as a literature visualization tool is used for the analysis. Based on this review, the low efficiency of waste-clothes recycling can be attributed to poor organization from a management aspect. From a consumer perspective, because of the differences in understanding among consumers about waste-clothing recycling, the existing clothing-recycling system cannot be fully utilized. The results of this review provide reference for further research on waste-clothing recycling, and make suggestions for the relevant governmental/industrial development strategies.
... However, in our literature revision we found only a few works focusing on solving multiobjective problems in the textile industry. Among them, we can cite: a methodology based on multiobjective GA (MOGA) to reduce the pollutant emissions by means of systematic production scheduling [40]; a multiobjective production programming model, proposed by Lin et al. [41], which employs PSO designed to minimize the remanufacturing cost and maximize recycle rate to reduce the environmental impact from the disposed clothes; the study conducted by Chakraborty & Diyaley [16], in which four MOEA (artificial bee colony algorithm, ant colony optimization algorithm, particle swarm optimization algorithm and genetic algorithm) were compared in the task of determining the optimal parametric settings of a cotton spinning process; a framework proposed by He et al. [42] that transforms a textile process optimization problem into a stochastic game and then employs reinforcement learning and multiobjective algorithms to solve it; and the study of Zhang et al. [40] that deals with the dyeing process scheduling problem as a bi-objective parallel batch-processing machine scheduling model, in which the objective functions reflect the tardiness cost and the utilization rate of dyeing vats. ...
... The works of Zhang [40], Lin et al. [41], Chakraborty & Diyaley [16], and He et al. [42] show that multiobjective optimization, such as quality, productivity, and cost of the textile manufacturing process, is progressively challenging due to the increasing complexity involved in the development of the textile industry. However, none of them explores multiobjective techniques for optimizing dyeing processes using reactive dyestuffs aiming to obtain better coloristic intensities at the lowest production costs. ...
This work explores the optimization of the conditions for obtaining blue coloristic intensities (expressed by K/S values) in the cotton dyeing process with Reactive Black 5 (RB5), which involves two conflicting objectives: maximize the coloristic intensity and minimize the production cost. To this end, an approach that combines response surface methodology (RSM) and multiobjective evolutionary algorithms (MOEA) was developed. First, the RSM with a central composite rotatable design (RSM-CCRD) was applied for modeling the non-linear behavior of dyeing with RB5 considering the following process variables: temperature, NaCl, Na2CO3, NaOH, processing time, and RB5 concentration. The model was obtained by the least-squares method and validated through the analysis of variance (ANOVA). The determination coefficient achieved (R² = 0.945) indicates its good accuracy for making predictions. Then, we compared the results of a multiobjective genetic algorithm (MOGA) and a multiobjective particle swarm optimization (MOPSO) applied to obtain the optimized values for the process variables for obtaining maximum K/S values within predetermined ranges at the lowest production costs using the model produced by RSM-CCRD as objective function. According to the results obtained from the conducted simulations, both algorithms proved to be very useful computational tools to assist the dyeing process in the textile industry promoting economic and environmental benefits and being easy to adapt to other types of dyes or K/S ranges, although MOGA showed more consistent results.
... First, to identify the physical, usage, and technological conditions of incoming cores, where they are sorted by their quality level before any remanufacturing processes. Second, sorting operations represent an immediate solution to mitigating quality uncertainty in the core acquisition [7][8][9]. ...
Remanufacturing is a key pillar of a circular economy and helps in recovering used products by extending their life cycle via remanufacturing them into new products. A vital aspect in a remanufacturing system is the quality assessment of incoming worn-out products (cores) prior to remanufacturing to ensure that non-conforming cores are discarded at an early stage in order to avoid unnecessary processing. Therefore, quality sorting plays an important role in core acquisition for remanufacturing systems when attempting to mitigate uncertain incoming core quality as an immediate solution. The main problem is that it is difficult to acquire the important information required to decide on the sorting of incoming cores, such as the core quality. The data are also commonly limited, not always available, or inaccurate. Grey systems are powerful methods in decision making when handling uncertainty with small data. In this paper, we consider the usefulness of grey systems for handling uncertain quality information for sorting incoming cores in a remanufacturing system. For this reason, we propose a multi-criteria quality sorting model based on an analytical hierarchy process (AHP)-entropy model that is coupled with grey clustering using possibility functions. The quality criteria for sorting the incoming cores are considered according to the technological, physical, and usage conditions. To demonstrate the practical contribution of this research, a case study of the quality sorting problem with a heavy-duty equipment remanufacturer is presented. The proposed model consistently classifies the quality of used hydraulic cylinders into two grey classes.
