Journal of Quality Engineering and Management

Abstract Purpose: Given that determining the aggregate coefficient is a key constraint in Aggregate Production Planning (APP), this study seeks to identify the factors influencing this coefficient and to analyze them using Fuzzy Interpretive Structural Modeling (FISM) to explore their interrelationships.
Methodology: After identifying the key factors influencing the aggregate coefficient, an Interpretive Structural Modeling (ISM) questionnaire was distributed among experts, and the responses were aggregated. Subsequently, the FISM steps were carried out. Finally, an interaction network was constructed, and an analysis was performed to evaluate the degree of dependence and driving power among the identified factors.
Findings: The developed interpretive structural model comprised 11 hierarchical levels. The fuzzy analysis of dependence and driving power indicated that none of the factors were categorized as autonomous, reflecting a strong degree of interconnection among the variables within the model.
Originality/Value: Production planning for multiple products utilizing shared resources is a complex challenge. Thus, analyzing the variables that influence the determination of the aggregate coefficient in production planning provides valuable insights, facilitating informed decision-making, particularly in optimizing resource allocation to achieve an optimal production level.

Abstract Human reliability is an important issue that is evaluated in order to prevent catastrophic events in high technology industries. The purpose of this study was to evaluate human reliability by CREAM fuzzy method in short and medium range radar systems, which ultimately led to the study of human reliability and the probability of error in each of the effective factors. Then the method of hierarchical analysis, pairwise comparisons, calculation of weights and system compatibility, matrix of pairwise comparisons and control style, and ranking were performed. After collecting information from questionnaires and consulting experts, job analysis was performed by hierarchical analysis (HTA). Then the table of working conditions affecting the operator's performance (CPC) was drawn, and working conditions affecting the user's performance were presented using the table of CPCs. In the next step, the fuzzy AHP method was investigated , after calculating the pairwise comparison matrices, control styles were determined. At the end of the work, the factors causing the error along with the amount of human reliability and the probability of error in each factor were identified. The results indicated that human reliability is significantly improved. Based on the findings of the study, determining the contribution of various factors influencing human error, provide a more effective assessment. Among the job tasks, the factor of "preparation of mechanical parts" with a probability of 0.416 has the highest probability of error and should focus more on this factor.

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 In today's highly competitive business environment, the main approach of all business activities is to optimally meet the needs of customers and gain their satisfaction and trust. Life insurance services is one of the areas of the insurance industry that has a very close and very dynamic relationship with customers. In this regard, the use of techniques such as quality performance enhancement (QFD) can be an important step towards achieving an appropriate level of service quality and customer satisfaction. QFD is a systematic way to make the right connection between customer needs and service or product features. In this article, first, 30 customer requests for life insurance services in three provinces of Tehran, Yazd and Semnan are identified, and their importance is determined by distributing a questionnaire among 270 customers. Then, with the formation of a quality house, the necessary activities and corrective measures in order to meet the demands are identified and weighed. Finally, a mathematical model is proposed to consider the budget constraints in the decision-making process. In addition, the theory of triangular fuzzy numbers is used throughout the research method. The obtained results can provide practical and useful information to the decision makers of life insurance services in the country.