Comprehensive Assessment Method Research Articles

The role of training evaluation as a mediator in the adoption of the gamification methodology in Indian business

ABSTRACT The objective of this study is to examine the extent to which Indian firms have implemented gamification methodology for training purposes and to evaluate the impact of training assessment on the adoption and effectiveness of gamification strategies. This research used survey approach to analyze its hypothesis and goal. 260 surveys were valid. This study used Smart-PLS 4 to analyze data. Gamification, evaluation, and transfer were explored in this study. Gamification, training evaluation, and transfer were explored in this study. Findings suggested that the gamification training technique and training transfer make employee training evaluation crucial to the training process. Gamification in training program and employee training assessment aid training transfer. This research examines the profound impact that gamified training may have on improving organizational learning. The research, conducted with a rigorous methodology, demonstrates a clear and beneficial relationship between gamification, training transfer, and the mediator training evaluation. This highlights the significance of implementing comprehensive assessment methods. The results emphasize the need of incorporating gamification into training methods to enhance the transfer of skills and improve overall organizational performance. Managers and department heads embrace gamification as a training method and training assessment systems in organisations since evaluation is key to training success.

Factors influencing the relationship between perceptions of ecosystem services and well-being of farmers in the ore-agriculture zone, China

Understanding the coupling relationship between ecosystem service perceptions (ESP) and farmers’ well-being (FWB) in the ore-agriculture zone plays an important strategic role in maintaining regional ecological security and improving the well-being of regional farmers. Based on field research, questionnaire surveys and other methods, this study took farmers around the coal mining development zone as research subjects and used a comprehensive multi-index assessment method to evaluate the level of ESP and the FWB in the research area. A coupling coordination degree model was used to analyze the coupling relationship between ESP and FWB, and the random forest model was used to explore the influencing factors of the coupling relationship between the two. The results showed: (1) The FWB index was moderate and the ESP index was low. Farmers’ perceptions of the different ecosystem services varied, with provisioning services being perceived most strongly and supporting services least strongly. Satisfaction with basic material needs was highest on the well-being assessment. (2) The overall state of ESP and FWB coupling was good, with most of them in the state of coordination improvement. From the perspective of dimensional differentiation, the coupling of the dimensions of ESP and FWB was poorly coordinated, and all of them were in the state of dysfunction regression. (3) The coupling relationship between ESP and FWB was influenced by both environmental and household characteristics, with the former having a stronger effect. The results of this study can serve as a reference for promoting the coordination of ESP and FWB in the ore-agriculture zone, and ultimately realize the sustainable development of ecology and human in the ore-agriculture zone.

Development of a Potential Facility Risk Index for Nuclear Safety and Security Using a Terrorism Scenario with a Hypothetical Nuclear Facility

Risk assessment involves analyzing potential accident scenarios to identify hazards and assess associated risk factors. Nuclear safety and security both aim to protect against radiation exposure, but they have developed separately with distinct risk assessment methodologies. As a result, there is a need for a comprehensive risk assessment method that covers both the safety and security aspects. The Potential Facility Risk Index (PFRI) was developed in 2020 to provide a quantitative approach to evaluating the security risk of nuclear facilities, but it does not consider safety risks. This study aims to enhance the PFRI framework by incorporating probabilistic risk assessment methods to include safety risks. It assesses the risk of a hypothetical incident caused by adversaries at a hypothetical nuclear facility after a successful theft of nuclear material, followed by the construction and detonation of a radiological dispersal device. To achieve this goal, the study utilized event tree analysis and pathway analysis for loss event assessment and consequence analysis using the MELCOR accident consequence code systems for loss magnitude. New risk criteria were also established to determine the PFRI risk score. Based on the results, the study found that the PFRI score for the hypothetical facility was 1, indicating that the risk level was negligible. Future studies incorporating other scenarios, such as sabotage and transportation, will help assess the total security risk of the facility. This method can also help facilitate the integration of risk assessments for nuclear safety and security.

The Comprehensive Whole Process Risk Assessment Method of Mine Multi-factor

The Comprehensive Whole Process Risk Assessment Method of Mine Multi-factor

A Consensus-Based 360 Degree Feedback Evaluation Method with Linguistic Distribution Assessments

The 360 degree feedback evaluation method is a multidimensional, comprehensive assessment method. Evaluators may hesitate among multiple evaluation values and be simultaneously constrained by the biases and cognitive errors of the evaluators, evaluation results are prone to unfairness and conflicts. To overcome these issues, this paper proposes a consensus-based 360 degree feedback evaluation method with linguistic distribution assessments. Firstly, evaluators provide evaluation information in the form of linguistic distribution. Secondly, utilizing an enhanced ordered weighted averaging (OWA) operator, the model aggregates multi-source evaluation information to handle biased evaluation information effectively. Subsequently, a consensus-reaching process is established to coordinate conflicting viewpoints among the evaluators, and a feedback adjustment mechanism is designed to guide evaluators in refining their evaluation information, facilitating the attainment of a unanimous evaluation outcome. Finally, the improved 360 degree feedback evaluation method was applied to the performance evaluation of the project leaders in company J, thereby validating the effectiveness and rationality of the method.

Cross-National Analysis of Differences in Student Reading Performance: Taking PISA 2022 as an Example

This comparative study delves into the variations in student reading proficiency across nations as evidenced by the PISA 2022 data. Through the analysis of datasets from diverse countries, the study seeks to uncover patterns and discrepancies in reading performance. Key factors such as the education system, family background, and availability of learning resources are meticulously compared to ascertain their influence on reading proficiency. The study's findings reveal that disparities in reading abilities among students stem from a multitude of factors, rather than a singular cause. As a result, this study advocates for the implementation of interventions to address these disparities and ultimately enhance the reading proficiency of students globally. Firstly, policymakers should strive to create a more equitable environment for students' reading performance. Concurrently, resources must be allocated to bolster teacher training programs, thereby enhancing teaching standards and proficiency. Additionally, families need to enhance their involvement and support for children's reading progress. Finally, schools and teachers should employ more comprehensive assessment methods for students' reading achievements.

Adaptability of buildings: a systematic review of current research

The construction industry and associated processes emit about 40%–50% of greenhouse gasses globally, making buildings’ lifelong impact on the environment inevitable. Although research and development stakeholders have directed their focus on various sustainable, recycled, and upcycled building materials, as well as circular designs and construction methods to reduce the adverse effects of environmental challenges, researchers have not yet fully addressed a building’s post-use treatment. Considering that the gap still remains in knowledge concerning how to fully achieve net-zero waste and emissions from construction materials, designs, and processes at the end of a building’s life, this study contributes a concise definition of the concept of adaptability with a holistic review to understand Design for Adaptability (DfA) and its potential to reduce the need for unnecessary new construction and eliminate potential waste. This review used the PRISMA guidelines approach to gather key insights from various articles on the concept of adaptability that are relevant to the scope of buildings. Moreover, this review identifies potential areas of further research that could boost confidence in the use of adaptable strategies in the future. A total of 50 articles out of 170 articles were chosen through a selection process involving a new set of inclusion and exclusion criteria based on PRISMA guidelines. The findings show that demographical, technological, and economic motivations drive adaptability’s functional, environmental, economic, and social benefits. However, the regulatory, technical, economic, and social barriers hinder its implementation in construction processes. The findings also demonstrate that various promising frameworks for assessing adaptability still lack comprehensive guidelines, assessment, and validation methods for the overall implementation of adaptable strategies. Existing frameworks are mostly limited to spatial assessment of the reuse of spaces and do not account for the structural flexibility and performance of load-bearing building elements despite the fact that most assessed papers were from the engineering field. Nevertheless, this paper concludes that adaptability strategies can be implemented early during the construction of new buildings or during the repurposing of existing buildings, with the end goal being to increase the longevity of the use of structures, prevent premature demolition, and minimize unnecessary construction waste.

A comprehensive power quality assessment method based on data envelopment analysis method and mutation decision-making

Abstract As the construction of new power systems continues to advance, integrating a high percentage of new energy sources into the grid and the massive application of power electronic equipment brings serious power quality problems. At the same time, power quality assessment is the basis for solving power quality problems. A comprehensive power quality assessment method combining data envelopment analysis and mutation decision-making is proposed in this paper. Firstly, a power quality governance efficiency model using data envelopment analysis is constructed. Secondly, a power quality assessment method is proposed, combining governance results and mutation decision-making. Finally, the efficiency value and power quality value of each assessment point are obtained to realize the governance efficiency and power quality ranking of the assessment points. The example results prove the effectiveness of the proposed method.

Predictive Value of Modified Frailty Index, Sarcopenia, Prognostic Nutritional Index, and Geriatric Nutritional Risk Index for Postoperative Complications in Oblique Lumbar Interbody Fusion Over 60 Years

ObjectiveElderly patients undergoing spinal surgery are at an increased risk of morbidity and mortality. Evaluating frailty and preoperative status is crucial for predicting postoperative outcomes. This study aimed to assess the predictive value of the modified Frailty Index (mFI), sarcopenia, Prognostic Nutritional Index (PNI) and Geriatric Nutritional Risk Index (GNRI) in determining postoperative complications in patients undergoing oblique lumbar interbody fusion (OLIF) over 60 years. MethodsPreoperative risk factors were assessed using 11 variables, including mFI, PNI, GNRI. Complication rates were compared among nonfrail (mFI = 0; n = 50), prefrail (mFI = 0.09–0.18; n = 144), and frail (mFI ≥0.27; n = 80) patients. Demographic and perioperative variables were compared between the complication and noncomplication groups. The incidence of complications was the primary outcome measure. ResultsComplications occurred in 36 of 274 patients (13.1%). The frail group exhibited a significantly higher incidence of pneumonia than the nonfrail and prefrail groups. The complication group displayed significant differences in several variables, including age, fusion level, albumin level, lymphocyte count, platelet count, creatinine level, and estimated blood loss. Moreover, mFI, PNI, and GNRI differed significantly between the complication and noncomplication groups. ConclusionMFI, PNI, and GNRI can be useful for predicting postoperative morbidity and mortality in patients undergoing OLIF. These comprehensive assessment methods enable the identification of high-risk patients and the formulation of tailored strategies to enhance postoperative outcomes. Integrating mFI, PNI, and GNRI into the preoperative evaluation process can help healthcare providers proactively manage high-risk patients, thus improving the overall quality of care for elderly individuals undergoing OLIF.

A Spacecraft Ground Equivalence Test Assessment Method Combined with Interval-type Evaluation and Prospect-Two-Dimensional Cloud

For the complex dual-attribute qualitative assessment problem of spacecraft ground equivalence tests, the paper proposes a comprehensive assessment method that integrates interval-type evaluation with prospect theory and the two-dimensional cloud model. Firstly, to reduce the difficulty of determining indicator weights, the paper adopts interval-type evaluation and obtains reasonable interval weights of each indicator under dual attributes by interval analytic hierarchy process (IAHP). Secondly, to reduce the uncertainty of assessment and achieve the transformation of interval weights to value weights, the paper combines the prospect theory to obtain the value weight of each indicator that can maximize the personality preference satisfaction of the decision-maker by maximizing the integrated prospect value. During this period, to avoid the construction of a complex score function, the theoretical gain and loss values of indicator evaluation were obtained directly from the theoretical calculation based on the location of interval evaluation results in relation to interval psychological reference points. Again, to judge the validity of the interval evaluation of indicators, the paper theoretically derives an inverse cloud generator for interval-type samples and then realizes the validity analysis of the interval evaluation of indicators based on the 3-sigma principle of clouds. Then, to solve the problem of dual-attribute assessment of equivalence tests, the paper achieves the effective assessment of spacecraft ground equivalence tests through inter-cloud aggregation and similarity calculation of two-dimensional cloud models. Finally, the application of the method in a specific assessment case verifies the feasibility, validity, and practicality of the method in this paper.

Comparison of the Value of Four Objective Nutritional Indices in Assessing the Long-Term Prognosis of Elderly Patients with Heart Failure with Preserved Ejection Fraction.

The long-term prognosis of heart failure with preserved ejection fraction (HFpEF) is influenced by malnutrition. Currently, there's a deficit in objective and comprehensive nutritional assessment methods to evaluate the nutritional status and predicting the long-term outcomes of HFpEF patients. Our retrospective study included two hundred and eighteen elderly HFpEF patients admitted to the cardiovascular ward at the Air Force Medical Centre from January 2016 to December 2021. Based on follow-up outcomes, patients were categorized into all-cause death (99 cases) and Survival (119 cases) groups. We compared general data, laboratory results, and nutritional indexes between groups. Differences in subgroups based on Triglyceride-Total Cholesterol-Body Weight Index (TCBI), Geriatric Nutritional Risk Index (GNRI), Prognostic Nutritional Index (PNI), and Controlled Nutrition Score (CONUT) were analyzed using Kaplan-Meier survival curves and log-rank test. COX regression was used to identify all-cause mortality risk factors, and the predictive accuracy of the four nutritional indices was assessed using receiver operating characteristic (ROC) curves and Delong test analysis. A total of 101 (45.41%) HFpEF patients experienced all-cause mortality during 59.02 1.79 months of follow-up. The all-cause mortality group exhibited lower GNRI and PNI levels, and higher CONUT levels than the Survival group (p 0.05). Kaplan-Meier analysis revealed lower cumulative survival in the low GNRI ( 96.50) and low PNI ( 43.75) groups, but higher in the low CONUT ( 2) group, compared to their respective medium and high-value groups. Multifactorial COX regression identified low PNI ( 43.75) as an independent all-cause mortality risk factor in elderly HFpEF patients. ROC and Delong's test indicated PNI (area under the curve [AUC] = 0.698, 95% confidence interval [CI] 0.629-0.768) as a more effective predictor of all-cause mortality than TCBI (AUC = 0.533, 95% CI 0.456-0.610) and CONUT (AUC = 0.621, 95% CI 0.547-0.695; p 0.05). However, there was no significant difference compared to GNRI (AUC = 0.663, 95% CI 0.590-0.735; p 0.05). In elderly HFpEF patients a PNI 43.75 was identified as an independent risk factor for all-cause mortality. Moreover, PNI demonstrates superior prognostic performance in predicting all-cause mortality in elderly patients with HFpEF when compared to TCBI, GNRI, and COUNT.

A critical analysis of circular product attributes and limitations of product circularity assessment methods

The Circular Economy (CE) has been proposed as a strategy to promote the efficient use of resources, maximizing the benefits derived from materials and products through value recovery strategies, and minimizing waste generation. However, ambiguity remains in defining what makes a product circular and its characteristics when adapting the CE concept for application at the product level. More clarity about the constitutive characteristics of Circular Products (CPs) is also vital to facilitate their design. To address this challenge, and with the intention to increase the adoption of CE concept within the industry, the descriptions and attributes of a Circular Product (CP) were examined through a scoped literature review and analysis. Findings were then synthesized to establish a preliminary framework of CP attributes. These attributes were used to review the existing product circularity assessment methods. The results highlight limitations in the coverage of CP attributes in the existing methods and research opportunities for their improvement. The findings from this study will contribute to the development of a comprehensive and accurate product circularity assessment method.

How to assess a university campus planning — a case study based on students’ spatio-temporal behavior

ABSTRACT The planning of university campus directly impacts students’ quality of study and living, and there is a considerable amount of research on campus planning assessment, most of which uses post-occupancy evaluation methods. This paper tries to propose a new comprehensive assessment method for campus planning, which collects spatio-temporal behavioral data of students in their daily life through GPS software, then assesses the actual effect of campus planning comprehensively by analyzing the spatio-temporal behavioral characteristics of students. This paper also verifies the reliability of the student behavior characteristics analysis through questionnaire and explores the possible biases. The results indicate that, in addition to significant advantages in reliability, accuracy, and comprehensive judgment, the proposed method can visually reflect specific issues existing within tangible campus spaces and their impact on student behavior. Therefore, it can provide practical and reliable evidence for the practice of campus planning renewal. This method used in this paper is also applicable to other fixed group living spaces within a certain scale, like communities and neighborhoods.

Quantifying risks of lane-changing behavior in highways with vehicle trajectory data under different driving environments

Improper lane-changing behavior may have a great impact on the safety of the surrounding vehicles, and accurate risk assessment of lane-changing behavior can detect improper lane-changing behavior. Many existing risk assessment methods are based on the traditional minimum safe distance model as the theoretical foundation, not taking into account the effects of different weather and road conditions. Moreover, the initially calculated safe lane-changing distance through the model is generally the limit safety distance, which deviates to some extent from the initial distance maintained when the vehicle begins to change lanes during the actual driving process. The ratio of these two distances can reflect the degree of risk between the changing vehicle and its neighboring vehicles during lane-changing. For this reason, a lane-changing safety coefficient is defined and lane-changing risk assessment model based on the hyperbolic tangent function is constructed by combining the change characteristics of this coefficient. An environmental adjustment factor was introduced into the model to consider the influence of different driving weather and road conditions on the lane-changing risk assessment. Then, based on survey data from the survey questionnaire, the weights of the influencing factors were determined by using the hierarchical analysis method, and the environmental adjustment factor in the model was calibrated by using the fuzzy comprehensive assessment method. Finally, to verify the effectiveness of the model, the lane-changing trajectories of 373 vehicles were extracted from the HighD dataset. The risk assessment value of lane-changing was calculated by using the constructed model and was classified into high-risk, medium-risk and low-risk by using the K-means++ clustering algorithm. Various evaluation results were compared with the evaluation results from the expert evaluation method and the classical risk evaluation indexes, and the evaluation results are basically the same, which verifies the effectiveness of the lane-changing risk model established.

Body composition analysis using dual-energy x-ray absorptiometry in an Egyptian pediatric sickle cell disease cohort.

Growth failure is commonly encountered in sickle cell disease (SCD). Tissue compartment growth and development are subsequently likely to be altered in such patients. We aimed to analyze body composition in an Egyptian pediatric SCD cohort using dual-energy x-ray absorptiometry (DEXA), one of the most comprehensive and noninvasive assessment methods available. Forty children with SCD ≤18years and 40 healthy youngsters age- and gender-matched were enrolled. Patients' demographic, clinical, and laboratory parameters were obtained from their archived files. All patients and controls were subjected to body composition assessment using a MedixDR-Whole Body DEXA System. In SCD patients; weight and height relative to age Z scores were significantly lower (p<.001), total body lean was significantly higher (p=.006), and total body fat percentage was lower, yet the difference was not statistically significant (p=.09). There were no statistically significant variations in bone mineral density or content, basal metabolic rate, subcutaneous adipose tissue, android/gynoid fat ratio, and visceral adipose tissue. There were no significant gender disparities between SCD patients and controls. Faltering growth in children with SCD should be addressed with a multidisciplinary approach including nutritional support, correction of anemia, and proper medical care. Body composition parameters assessed using DEXA were comparable between cases and controls apart from total body lean. Further clinical studies are needed with multicenter cooperation and a larger sample size to assess the usefulness of DEXA as an assessment tool for body composition in children with SCD.

Research on Drought Monitoring Based on Deep Learning: A Case Study of the Huang-Huai-Hai Region in China

As climate change intensifies, drought has become a major global engineering and environmental challenge. In critical areas such as agricultural production, accurate drought monitoring is vital for the sustainable development of regional agriculture. Currently, despite extensive use of traditional meteorological stations and remote sensing methods, these approaches have proven to be inadequate in capturing the full extent of drought information and adequately reflecting spatial characteristics. Therefore, to improve the accuracy of drought forecasts and achieve predictions across extensive areas, this paper employs deep learning models, specifically introducing an attention-weighted long short-term memory network model (AW-LSTM), constructs a composite drought monitoring index (CDMI) and validates the model. Results show that: (1) The AW-LSTM model significantly outperforms traditional long short-term memory (LSTM), support vector machine (SVM) and artificial neural network (ANN) models in drought monitoring, offering not only better applicability in meteorological and agricultural drought monitoring but also the ability to accurately predict drought events one month in advance compared to machine learning models, providing a new method for precise and comprehensive regional drought assessment. (2) The Huang-Huai-Hai Plain has shown significant regional variations in drought conditions across different years and months, with the drought situation gradually worsening in the northern part of Hebei Province, Beijing, Tianjin, the southern part of Huai North and the central part of Henan Province from 2001 to 2022, while drought conditions in the northern part of Huai North, southern Shandong Province, western Henan Province and southwestern Hebei Province have been alleviated. (3) During the sowing (June) and harvesting (September) periods for summer maize, the likelihood of drought occurrences is higher, necessitating flexible adjustments to agricultural production strategies to adapt to varying drought conditions.

Comparison of treatment adherence among TB patients with and without COVID-19 in South India

AimThe present study aimed to compare the adherence to anti-TB treatment among post-COVID-19 pulmonary TB cases and TB patients without a history of COVID-19 in South India. MethodsA prospective, cross sectional study was conducted in all drug-sensitive pulmonary tuberculosis patients in National TB Elimination Program. The research investigates the impact of the COVID-19 pandemic on TB management, considering both subjective and objective measures of adherence. Data were collected using a validated instrument for subjective assessment and urine metabolite testing for objective evaluation. ResultsThe results reveal significant differences (p < 0.05) between subjective and objective adherence measures, emphasizing the need for accurate and comprehensive assessment methods. However, there is no statistically significant difference (p > 0.05) in adherence to anti-TB treatment among post-COVID-19 pulmonary TB cases and TB patients without a history of COVID-19 in South India. The reason for non-adherence in both groups were ATT side effects, loss of daily wages, forgetting to take medication and lazy to take medications. ConclusionThe study concluded that there is no statistically significant difference (p > 0.05) in adherence to anti-TB treatment among post-COVID-19 pulmonary TB cases and TB patients without a history of COVID-19.

Assessment of child-friendly spatial environment in urban communities based on fuzzy Analytic Hierarchy Process

Urban development is progressively integrating the concept of child-friendly cities to foster inclusive and sustainable environments prioritizing children's needs and rights. This study contributes to the discourse on child-friendly urban spaces by leveraging the fuzzy Analytic Hierarchy Process (AHP) to assess these environments systematically. The methodology begins by compiling key factors influencing child-friendly environments. Using the AHP and expert scoring, judgment matrices are created to determine the weight of these factors, forming a structured assessment index system. The system is further refined through the development of specific rating items for each second-level factor, employing the fuzzy comprehensive assessment method integrated with membership functions. This approach enables a detailed, quantifiable analysis of factors contributing to child-friendly environments. To illustrate the practical application of this methodology, it was applied to Zengjiayan Community in Yuzhong District, a densely populated area of Chongqing, China, known for its mountainous terrain, thus navigating the distinctive challenges posed by this unique urban landscape. Extensive field research and interviews aligned second-level rating items with specific community features. Results yield a 'Good' rating for the community’s child-friendly environment, highlighting achievements and spatial constraints. These insights underscore the impact of urban design and policies on child-friendliness in challenging settings. The study provides a vital tool for urban planners and policymakers, presenting a model to assess and improve child-friendly spaces in complex urban settings.

Regional Evaluation Study of VFTO Interference to Secondary Side Cables Based on Cloud Model and MARCOS.

With the advent of the data era, most power secondary side equipment tends to be digitized. The power system needs more accurate numerical results to further improve its operating efficiency. Therefore, it is important to study the electromagnetic interferences of very fast transient overvoltage (VFTO) generated by gas-insulated switchgear (GIS). To protect the secondary side cable from interferences, the secondary side cable is wrapped with an outer shield and the shield is grounded. When the interference of VFTO comes, it will couple the interference current and interference voltage on the shield of the cable. By grounding, the interference is greatly discharged. However, due to the grounding resistance, there will be a potential difference between the grounding points at the two ends of the shield of the cable. This causes a corresponding interference current to flow through the shield, which will affect the transmission of signals inside the cable. In the actual substation, the resistivity of the soil, the ambient temperature and humidity of the area, and so on will have impacts on the grounding resistance. In addition, the irregularity of the cable arrangement and the time of the use of the cable will have impacts on the signal transmission of the cable. Based on the abovementioned issues, this article proposed a comprehensive assessment method based on the combination of the cloud model and measurement of alternatives and ranking according to compromise solution (MARCOS). The method brings the cloud model into MARCOS by the algorithm of the contribution of the cloud droplets. It overcomes the difficulty of cloud model quantification. By comparing the results of the proposed method with the actual conditions at the substation and the results of the common MARCOS assessment method, the validity of the method is verified, and a reference scheme is provided for substation optimization.

Comprehensive assessment methods of environmental impacts during textile production

As an important part of textile production, the dyeing process not only makes the greatest contribution to water consumption and wastewater discharge, but its use of synthetic dyestuffs has a negative impact on all forms of life. To assess the environmental impact of textile production, it is necessary to assess the environmental impact of the dyeing process. Comprehensive assessment methods can convert multi-dimensional environmental impacts into unified quantitative indicators and enable comparisons between different products or environmental impact categories. In this study, five comprehensive assessment methods (i.e., ReCiPe, Eco-Indicator 99, Nike MSI, Environmental Price, and Environmental Profit &amp; Loss) were applied to evaluate the environmental impact of the cotton fabric dyeing process. Furthermore, a preliminary assessment framework was constructed which could provide a reference for industry experts to establish uniform environmental assessment standards. The results indicate that diverse methods are recommended to be applied in parallel to analyse the environmental impact of textile products, and the use of individual comprehensive environmental assessment methods has its limitations and characteristics. Among the five methods, the ReCiPe method stands out as one of the most advanced LCA methodologies with the widest range of midpoint impact categories and a global-scale calculation mechanism. The scoring method offers sufficient possibilities to compare the severity of different environmental impacts caused by the dyeing process, and the monetary value model can be used as a more intuitive tool to characterize environmental impact no matter from the midpoint or endpoint.