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The purpose of this paper is to comparatively examine the personnel working in the clothing sector by examining them in three different methods in order to determine the working postures, identification of the stress factors of musculoskeletal system and the exposures depending on the working postures. Methods used in the study, REBA (Hignett and McAtamney, 2000), Ovako Working Posture Analyzing System (OWAS) (Karhu et al., 1977) and PLIBEL (Kemmlert, 1995) are the scientific observation-based methods. Within the scope of this study, the working stations and the working postures of the operators who work in the clothing sector were examined and their movements that could cause harm to the body were examined and in conclusion some suggestions were suggested to prevent these movements.

Due to the standard unit of times in clothing sector are short and the work done is very repetitive, 30 min recording was thought as enough for each operator examined. These recorded videos were then divided into 30 s photographs to obtain the poses of the operators’ working postures. In the scope of the research, first, the PLIBEL observation form was filled as the PLIBEL method is more general one. According to the working postures, the body regions which are damaged or can be damaged were identified and the PLIBEL form was filled in the consideration of the risk factors in the form (Malchaire 2011). In addition, the photographs were also analyzed with REBA and OWAS methods for having more quantitative and detailed results.

The working postures of the operators who work in the cutting, sewing, ironing, quality control and packaging departments of six clothing companies were examined in the scope of this research with PLIBEL, REBA and OWAS methods in terms of ergonomy. The results belonging to each department were given separately. REBA and OWAS methods have been applied in order to investigate the working postures in more detail due to the lack of providing numerical data of the PLIBEL method. The reliability of the study has been approved with obtaining the similar results from the REBA and OWAS methods. According to Table VIII, both of the methods show that all the departments in question need ergonomic arrangements. It was analyzed that the cutting department is in the first place which needs ergonomic arrangement immediately (REBA %90.58, OWAS %87.69).

This study is composed of 65 operators who have experience between 5 and 22 years and in the age range of 22–43 working in the cutting, sewing, ironing, quality control and packaging departments in eight different clothing companies. These 65 operators were recorded by video camera during their work. The recording time were selected randomly. The movements of operators during their own work have been taken into consideration.

This paper indicates the usability of the PLIBEL, OWAS and REBA methods in clothing sector. Using these methods in clothing sectors states the value and the originality of this paper.

The textile industry harms the environment at every stage of production, from the acquisition of raw materials to the disposal of finished products. It is very important for the textile industry to adapt to the basic policies on environmental sensitivity and sustainability to keep up with the transformation in production processes and the rapid changes occurring around the world in order to exist in global competition. Within the scope of sustainable development goals, it is of great importance to measure and evaluate indicators of all processes of the sector. This paper aims to present application of multi-criteria decision making (MCDM) methods for the assessment of sustainable development in textile industry.

The data of a multinational clothing company’s four-year sustainability performance between 2018 and 2021 were evaluated under 22 sustainability parameters determined using two new MCDM techniques, namely the combined consensus solution method and multi-attribute ideal real comparative analysis. In determining the criteria, priority key indicators were determined by taking into account the sector’s relationship with the environment, raw material consumption and social adequacy.

According to the application results of both methods, the year 2021 shows the best performance. It has been seen that the sustainability performance of the Inditex group has increased over the years and the results of the applied models support each other. It can be suggested that the proposed approach be applied to evaluate the progress in the textile sector with the relevant data on a particular company or on a macro scale.

This study makes an important contribution to the field in terms of the fact that the methods used are recent and have no application in the field of textiles. It allows the evaluation of different sustainability criteria together using a single method. It is very important to share data on sustainability indicators with customers, employees, suppliers, investors, partner organizations and society and evaluate performance. Analyzing sustainability performance on the basis of annual reports is important in terms of identifying good practices, sharing them with the community and setting an example. In addition, using scientific methods in the evaluation of the sustainability report data published by companies regularly provides significant feedback for policymakers and academics.

The purpose of this paper is to explore selection of the best ERP suppliers in the clothing industry by using analytic hierarchy process (AHP).

AHP is used in order to achieve the paper's purpose; selection criteria are determined by managers and experts.

Three different enterprise resource planning (ERP) suppliers are investigated and best alternative is selected by using AHP. After the best alternative is selected, cost benefit analysis is calculated in order to define decisive result. All calculations are verified by performing the consistency test.

Selection criteria and their evaluations can be changed depending on size of the clothing manufacturer and product type.

The results of the study will be helpful to clothing manufacturers which plan to implement an ERP system in their organizations. Furthermore, they can use AHP in other decision problems as well.