Journal of Quality Engineering and Management

Abstract The available statistics and information about the free and special economic zones of the country show the fact that these zones, in comparison with the export processing zones of the world, have not been very successful in achieving the goals set for them. The statistical population of this research is 80 experts and experts on free and special economic zones, which are available from Aras and Mako free trade-industrial zones and Salmas special economic zone. In this study, the tool used to measure and measure the desired variables are two types of researcher-made questionnaires, one of which is used to use the Likert scale to assess the effect of each factor and the other questionnaire to compare Pairs have been used to prioritize factors. Using the theoretical foundations of six factors and quantitative and qualitative variables predicting the success or failure of investment projects to manage quality in free and special economic zones of the country to model with a multilayer neural network of perceptron, identify and after describing the variables and test Normality, using PLS software, confirmatory factor analysis of variables was performed, all of which had a good confirmatory factor analysis. Then, using linear regression and analysis of variance (ANOVA) test, the effect of each factor on the success or failure of investment projects was investigated. The results of this test showed the confirmation of the effect of each factor and finally the results of hierarchical analysis That is, product and service specifications came in first, and the rest of the factors came in second.

Abstract This paper examines the issue of reliability and multi-objective redundancy allocation for series-parallel multi-state systems. Therefore, a suitable mathematical model is proposed in order to maximize the accessibility of the system and minimize the relevant design costs by considering the budget constraints and the physical weight of the system. In order to estimate the accessibility of a multi-state system, the general generator function method has been used, which is an efficient method for calculating the reliability and accessibility of multi-state systems. After solving the mathematical model by the Epsilon constraint method, in order to simultaneously optimize the two objective functions and generate partial solutions of the mathematical model of the problem on a larger scale, the second version of the genetic metaheuristic algorithm with unfavorable sorting has been developed. Finally, to evaluate the performance of the proposed solution algorithm, a number of sample problems in different dimensions have been generated and solved. The results of the meta-heuristic algorithm are compared with the results obtained from solving the mathematical model by the Epsilon constraint method by t-test, which indicates the efficiency of the proposed solution algorithm.

Abstract The purpose of this study is to identify and prioritize the demands and needs of customers in the cellulose and packaging industries and in the field of complete baby diaper products in Bushehr Polymer Industrial Group using Kano model and determining technical characteristics with design priority to improve product quality. In this study, according to the opinion of the interviewees and the use of verbal variables as well as the opinion of experts in weighting the importance of needs, the problem has become fuzzy and the Likert scale is used to rank customer needs and determine the current performance of the organization. has taken. Next, we convert fuzzy values ​​to non-fuzzy state and by determining the technical elements based on the relevant national and international standards, we have formed the quality house communication matrix in non-fuzzy form. Findings indicate that in the design of technical elements, the elements "dispersion of absorbent powder" and "width of the top and bottom cover" are the most important in designing the quality pattern of diaper product and can be an important factor in preventing physiological sensitivity of the child.

Abstract One of the most important tools for statistical process control is the control chart. The construction of control diagrams is achieved by determining the design parameters of the sample size, sampling distance and coefficient of control limits. Statistical-economic design is the best way to determine these parameters by considering statistical properties and cost. Statistical design - Economics Control charts require a distribution for the process failure mechanism. The most popular distributions in the analysis of the failure mechanism of the exponential distribution process are gamma and Weibull. Recently, a new distribution called generalized exponential distribution has been added to conventional distributions in data life analysis and process failure mechanisms. If the failure mechanism data follows this distribution, the use of other distributions will give users misleading and inaccurate results. On the other hand, a fundamental assumption in most control charts is the independence of process-related observations; But in practice we have situations with correlated data. As a result, it is of particular importance to identify control charts that can be used to control such data.In this paper, statistical-economic design of control charts with correlated data under generalized shockwave and Weibull models and by providing a numerical example , We show their application. We have applied a sensitivity analysis to investigate the effect of changing the controlled properties of the first type error rate, power and correlation coefficient. The results show that this type of control charts have undesirable statistical properties and the limitation on the first type of error has a significant effect on determining the average cost per unit time and design parameters. Also, the correlation coefficient is indirectly related to the sample size and sampling distance and is directly related to the average cost per unit time.

Abstract The issue of performance of complex engineering systems in environments with high uncertainty is one of the topics of research in the field of device engineering. Uncertainties and hazards in unfamiliar environments significantly affect the value provided by complex engineering systems to its stakeholders. Therefore, empowering complex systems to operate in conditions of uncertainty is inevitable. Obviously, before taking any action to improve the design of these devices to achieve greater capability, it is necessary to determine the index and model to measure their capability in the face of uncertainty. In this study, which is a combination of qualitative, quantitative, applied and fundamental research methods in terms of the type of research; After reviewing the research records, biodegradability has been introduced as an indicator to evaluate the capability of complex engineering systems for operations in conditions of uncertainty. Operating environment and three-level modeling of the operating environment, product functions and physical equipment of the product are its key features. Finally, the applicability of the proposed model is shown through a case study of an imaging satellite as a complex engineering system. The accuracy of the proposed model has been confirmed based on the analysis of the results of the case study and a questionnaire completed by experts.

Abstract The main purpose of this study is to investigate the moderating role of environmental uncertainty in the relationships of ISO 9001, product innovation and financial performance in manufacturing organizations in Isfahan province. The statistical population of the present study is the production organizations of Isfahan province that have ISO 9001 certification. From 150 organizations identified with this feature, data were collected from 90 organizations in the form of a questionnaire. Data analysis was performed using the second generation of structural equations, PLS. The results of testing the hypotheses indicate a positive and significant effect of ISO 9001 on product innovation and financial performance. The results also demonstrated the moderating role of environmental uncertainty in the relationship between ISO 9001 and product innovation as well as ISO 9001 and financial performance. It was also found that product innovation improves the financial performance of organizations.