Evaluation of green lean production in textile industry: a hybrid fuzzy decision-making framework.

Textile industry is an old and effective industry in Iran. However, due to its age and high energy consumption, this industry has low profitability and entrepreneurship. One of the most important problems of the weaving industry is the issue of waste regarding manpower, materials, machinery, and especially energy consumption. Another problem is environmental pollution. In this paper, using a multiple decision-making model for ranking and selecting criteria and sub-criteria, which is presented using the step-wise weight assessment ratio analysis (SWARA) and also by examining several industrial plants on weaving, the final ranking was performed using the fuzzy COPRAS method. According to the final result and using the opinions of experts and reviewing the studied cases, the environmental criterion was more important than other criteria, and also according to the existing sub-criteria, the amount of CO2 production and pH in the process of completion and washing and the types of pollution in the effluent and sewage were more important than other sub-criteria. Also, among the alternatives, company 5 is evaluated as the best alternative.

Introducing a conceptual model for evaluating health safety environmental performance of residential buildings using the fuzzy decision-making approach.

Today, the issue of the physical and psychological safety of residents of residential buildings and their impact on the environment are major concerns for residents, builders, and sellers of the construction industry. The design and construction with the Health Safety, Environmental (HSE) approach can influence the direct and indirect costs of the construction industry and is considered an important criterion for pricing at a time of sell. Creating models that can demonstrate the degree of adherence of a building to safety, health, and environmental standards can be effective in the usage as well as the physical and mental comfort of residents using that building. Accordingly, the purpose of this research is to provide a conceptual model for determining the performance criteria of buildings with the HSE approach. This study was carried out based on the practical purpose of the research as well as on a descriptive-analytic method. In this study, the factors affecting HSE performance were first determined. Then, Decision-Making Trial and Evaluation Laboratory (DEMATEL) method was used in a fuzzy environment to measure cause and effect relationships. The findings of the research suggested that among the factors affecting building performance, the safety of the structure is the most influential factor, and the architectural welfare is the most important factor, which itself is in the category of influential factors and is affected by other factors. Creating structures that can assess the performance of a building with the Health Safety, Environmental (HSE) approach can be an important criterion in making decision at the time of designing, constructing, operating, purchasing, and housing for customers and residents of a building. This issue can be considered an indicator in the construction process. Government agencies, the insurer, and price-setting agent of buildings can also use this model for valuation and rank buildings and defining their premium rates.

A pattern of contractor selection for oil and gas industries in a safety approach using ANP-DEMATEL in a Grey environment.

Contractor selection is one of the major concerns of industry managers such as those in the oil industry. The objective of this study was to determine a contractor selection pattern for oil and gas industries in a safety approach. Assessment of contractors based on specific criteria and ultimately selecting an eligible contractor preserves the organizational resources. Due to the safety risks involved in the oil industry, one of the major criteria of contractor selection considered by managers today is safety. The results indicated that the most important safety criterion of contractor selection was safety records and safety investments. This represented the industry's risks and the impact of safety training and investment on the performance of other sectors and the overall organization. The output of this model could be useful in the safety risk assessment process in the oil industry and other industries.

Presenting a conceptual pattern of HSE performance of oil trucks.

Accidents are among the main problems in the oil product supply chain. The most important effective factors in these events are the kind of trucks used and their health, safety, and environment (HSE) condition. The aim of this study was to present a conceptual pattern of the HSE performance of oil trucks in oil industries. In this study, 20 truck models (with fixed tanks), in use over different periods of time, were investigated. In this regard, the criteria and sub-criteria were first determined in two parts-carrier and tank-and weighted by fuzzy analytical hierarchy process (FAHP). The results showed that the most important sub-criteria regarding the HSE factors of the carrier were resistance and strength of the front and rear shields, the brake system, and the ventilation system. The most important sub-criteria regarding the HSE factors of the tank were tank shell thickness and a good tank design shape with respect to portable material. It should be noted that the weight of the criteria with each other and sub-criteria with each other are not equal. This issue is important for decision-making. The main reason for the use of trucks with the lowest score in developing countries is the lack of attention by managers to safety issues and international standards and agreements such as the ADR.

Health, safety and environmental unit performance assessment model under uncertainty (case study: steel industry).

Performance assessment is a critical objective of management systems. As a result of the non-deterministic and qualitative nature of performance indicators, assessments are likely to be influenced by evaluators' personal judgments. Furthermore, in developing countries, performance assessments by the Health, Safety and Environment (HSE) department are based solely on the number of accidents. A questionnaire is used to conduct the study in one of the largest steel production companies in Iran. With respect to health, safety, and environment, the results revealed that control of disease, fire hazards, and air pollution are of paramount importance, with coefficients of 0.057, 0.062, and 0.054, respectively. Furthermore, health and environment indicators were found to be the most common causes of poor performance. Finally, it was shown that HSE management systems can affect the majority of performance safety indicators in the short run, whereas health and environment indicators require longer periods of time. The objective of this study is to present an HSE-MS unit performance assessment model in steel industries. Moreover, we seek to answer the following question: what are the factors that affect HSE unit system in the steel industry? Also, for each factor, the extent of impact on the performance of the HSE management system in the organization is determined.