mehdi karbasian

This study investigates the efficacy of skill-based training and simulation environments in aviation education. It emphasizes human resource development's importance in organizational success, particularly in industrial settings. The research focuses on a national aviation-training center, examining how simulators and training environments affects skill acquisition in 2022-2023.

This research using an experimental research design with a pretest-posttest control group approach, 38 individuals were randomly stratified into two groups (experimental and control) to study the use or non-use of the educational simulation environment. To collect data for evaluating the effectiveness of module training, an 18-question Kirkpatrick questionnaire with three sub-criteria (organization, applicability, and instructor) was used. The validity and reliability of this tool were confirmed. So reliability was calculated using Cronbach's alpha, 87%.

The results demonstrated that the presence of simulated environment levels is significantly different in terms of cost-effectiveness and cost evaluation compared to using the actual device. Furthermore, the findings indicated that training with simulated environments was more effective in terms of the efficacy of educational modules compared to the group that did not use these environments.

The findings of this study indicate that creating a hybrid model based on simulator environments can have both economic benefits and be effective in delivering training. Overall, it can be concluded that the use of simulator environments in vocational skills training in the aviation industry is an effective approach. Learners can gain diverse skill experiences in safe conditions without time constraints. Designing a comprehensive skill-oriented educational model based on simulator environments is a step towards enhancing the effectiveness of industrial training.

Gas distribution networks are considered essential. Therefore, considering the importance of the implementation of such projects and the challenges raised in this field, the present study tries to evaluate the key criteria of risk management in the implementation of network projects by comparing two fuzzy multi-indicator decision-making techniques. Pay for the distribution of natural gas. For this purpose, by selecting a number of 36 experts and experts in the field of natural gas industry, using a researcher-made questionnaire, Lawshe method and multi-indicator decision- making techniques based on fuzzy SWARA and fuzzy best- the worst method were used. The obtained results indicate that, out of 32 risk management criteria, 17 criteria were identified as key risk management criteria. Also, based on the results, it is concluded is consistent that the final and definitive weight of the criterion of inadequacy or lack of technical information for design in carrying out the fuzzy best- the worst method multi-indicator decision-making technique with the second rank of the final and definitive weight obtained in the fuzzy SWARA multi-indicator decision-making technique and has been evaluated with the highest importance and the final and definitive weight of the criterion of the inappropriate evaluation process and the selection of suppliers and contractors in two multi-indicator decision- making techniques has been evaluated with the least importance. They share meaning with each other.

Today, degradation analysis is one of the most important approaches in evaluating the reliability of multi-component systems. As it is clear, improving the performance of real systems requires the use of efficient and predictable approaches to analyze degradation with considering the interaction of system degradation processes on each other. The literature review shows that degradation analysis of multi-component systems has been investigated in various researches, but the approach in which there is a profile relationship between the degradation processes of the system components has not been considered so far. When there is a functional relationship between the degradation processes of one or more components, it is called a profile in the statistical process control literature. The aim of this study is to provide an efficient approach to predict and evaluate the variability of degradation processes in the presence of multivariate profiles under the conditions of stochastic dependence. In fact, the proposed approach offers the possibility of predicting and evaluating the variability of degradation processes at the component and system level. In this paper, in order to evaluate the proposed approach, the data set of a multi-component system with a structure of 2 out of 3 has been used. The results show the effectiveness of the proposed approach.

This paper aims to analyze comprehensively and structurally the different methods proposed in the literature by researchers, and identify the new fields for future studies.

Design/methodology/approach: 

In this research, the methods proposed in the literature have been explained comprehensively and structurally focusing on mathematical functions, assumptions, functional objectives, results, weaknesses, and strengths. Different types of dependencies between system components have been also considered in this study.

In this paper, the methods in the literature were clustered by a new approach based on the system type, dependency, the method of considering the dependency and the objective. The different challenges of this field of study in the future were also investigated in this paper.

Research limitations/implications:

 Few practical studies in the field of multi-component systems have been performed in the literature. 

Practical implications: 

Since the analysis of multi-component systems is considered an important and applied issue in the reliability field for different complex products, the discussion of this paper and the results can be used by technical experts in different industries.

Social implications:

 This paper can be used as a reference for increasing people’s quality of life.

Originality/value: 

To the best of the authors’ knowledge, this is the first time that a comprehensive analysis of multi-component systems is reported in considering its structure and applied approach

The effective selection of maintenance tactics in the industry according to the factors and conditions affecting each of the equipment, shows the need to use innovative approaches. The purpose of this study is to obtain a matrix similar to the TRIZ contradictions matrix so that with the help of this matrix, appropriate maintenance tactics and functional repairs can be selected according to the condition of each equipment. In this study, in order to compare and analyze qualitative data, the , Meta-synthesis method has been used, so for this purpose, various databases, publications and search engines between 1960 and 2022 have been studied. The result of the studies performed using the , Meta-synthesis method is the extraction of 115 valid and related articles. In this research, the relationship between TRIZ principles and operational maintenance tactics has been obtained using the , Meta-synthesis method.The result of this research is the achievement of a matrix similar to the TRIZ contradiction matrix with the ability to provide and select maintenance tactics, corresponding to the parameters affecting each equipment. In order to make the right decision, the final results in each of the matrix cells of this study are prioritized using decision making methods. This matrix assists managers and maintenance specialists in decision-making and increases the speed of decision-making and selection of appropriate tactics. . Finally, the resulting matrix has been studied for evaluation in the National Iranian South Oilfields Company.

The field of ballistic protection assessment is challenging due to the need of satisfying high precision requirements with a limited sample size. Identifying the probability of perforation at a specified projectile velocity is the most common way to quantify the ballistic resistance of a given protection structure. Recently several techniques have been developed for this purpose to assess perforation for all possible velocities. The main drawback of these techniques is the use of the normality assumption under which perforation velocities are expected to follow a Gaussian normal distribution where V~N(v,σ_1^2). Also, the techniques for assessing the ballistics stability of projectiles, which have recently been used in numerous studies to measure disturbance in target impacts in all possible ranges, are based on the assumption that the range of projectile follows the normal distribution. Accordingly, any parameter of interest is estimated using the characteristic identified Gaussian distribution. In this work, Interior and external ballistic data obtained from real tests of intelligence mortar bomb and life distributions applied to the ballistic data, using the method of maximum likelihood to estimate the model parameters. The results of Interior ballistic and external ballistic synonym analysis led to data clustering in four clusters and based on marginal functions and related joint distribution functions, reliability and risk behavior were investigated.

Roadmap and especially technology roadmap is a management tool and technique to achieve future goals in order to link business to technology. With the increasing trend and the need to use different types of roadmaps, new tools are needed to analyze the complex relationships between layers and roadmap elements. The purpose of this study is to focus on a new tool for analyzing the relationships between roadmap layers with a combined method with a proposed framework. Previous research has addressed relationships between layers only with tools such as quality function deployment (QFD) and the linking grid. Although DSM and TRM have been extensively studied independently so far, this study, therefore, proposes an integrated six-step framework combining a multi-domain matrix and design structure matrix and fuzzy set theory in designing, creating, and developing technology roadmaps for Suggest systems to support decision making and case studies. In this study, multi-domain MDM matrix and fuzzy inference, and network theory were used in designing the technology roadmap. The advantage of using a multi-domain matrix is ​​the simultaneous analysis of each domain specifically in the DSM format as well as the entire domain in the MDM format. The results of the present study indicate the provision of detailed instructions for managers to prepare a suitable roadmap.

This article presents an integrated production-distribution plan in a reverse supply chain via multi objective mathematical modeling in a high-tech environment. The objectives of the proposed model include 1) minimizing total costs including production, maintenance, inventory and manpower costs, 2) maximizing customer and supplier satisfaction, and 3) maximizing the quality of manufactured products. The supply chain consists of several suppliers, a producer, customers, a repair center to repair the customer's goods and a repair and maintenance center for repairing or disposing products that have passed their warranty period. Among the contributions of this research, we can consider such issues as considering the quality of products manufactured, returned or supplied from suppliers in order to realize the win-win relationship with suppliers, using the maximum capacity of suppliers and supply of parts by each reconstruction center. In order to validate the model, it is solved for some examples using Lingo software and LP metric method.  In reverse supply chain, what is addressed is recycling and reconstructing the products which are spending final stage of their life cycle. In this regard, after gathering and inspecting the returned products, they are partitioned in to recyclable and non-recyclable (scrap) products (Mirzapour et. al, 2013). Aggregate production planning is a process that determines the optimal level of production and stock inventory to meet the demands for the product in a long term period which considering the capacity limitation of the means and resources (Gholamian et al, 2015).
In this research, investigation is regarding designing and solving a mathematics model for aggregate production planning in reverse supply chain in a high-tech industry. High-tech products are usually made up of chemical, mechanical, and electronic components. Inspection of the products in the supply chain of latter industry is of demolition type, that is, in case where the quality of the products is not confirmed by the customer, they are in masse retuned to the supplier. The returned products are either demolished in the re-construction units or delivered to the producer after re-construction. Also, in case of the non-usage of the products by the customer after technical warranty expiration, they are dispatched to the repair and maintenance unit and after undergoing correctional measures, they are re-dispatched to the customer or producer.
The aim of the present research is to conduct an investigation into the performance manner of the producer in making decision regarding producing the afore-mentioned products. In order to achieve objectives, the producer can manufacture the required products on his/her own plant. Accordingly, he/she should decide on considering the capacity of available means and facilities, production expenditures, and the quality of the produced commodity, what measure of products to produce at regular working hours, and what amount to produce at non-regular (over-time) working hours. In his/her aggregate production planning, he/she might also decide on out-sourcing the production of a portion of his/her required products to outside suppliers. Such planning becomes of utmost importance since he/she should decide- while considering such requisite indices and criteria as expenditure, quality level, and priority- what percentage of the products to delegate to what supplier. Along this line in the proposed model, a win-win relation with the suppliers is deemed essential. Thus, in the model offered here, the optimization of the customer’s satisfaction is taken into account so that- by considering customer’s prioritization- the shortage rate of the unmet demands on the part of the supplier is kept at minimum. The supply chain of the proposed model contains three levels of suppliers, producer, consumers and a center for reconstruction, repair and maintenance. In this chain, a producer starts out by sending several merchandise to customers. The process is carried out in a way that part of customers’ needs are produced by the producer himself/herself at regular and overtime workhouse. Another portion of the producer’s needs are met by different suppliers, which are shipped to the producer who sends them to the customers. Eventually the goods delivered to the customers, in case they are defective, are returned by customers to the reconstruction center, where, after undergoing correctional actions, are sent again to the producer, so in later cycles, they are re-sent to the customers. Additionally, when the expiry data of the product’s warranty arrives, it is shipped to the reconstruction center by the customers, and if possible, after receiving necessary repairs and corrections, are re-sent to the customers; otherwise, the product is de-assembled and returned to the producer.
Hence, in the design of the applied-extended model proposed in this research study, such cases as determining the contribution of the suppliers, reconstruction centers, repair and maintenance, production at regular hours, and overtime manufacture of each of the products as well as the amount of dispatched products to each of the customers are among decisions considered in the latter model. Moreover, such objectives as minimizing producer’s cost including production expenditures, cost of retaining and inventory deficit, costs related to supplying products through outsourcing, maximizing the quality of the manufactured products at regular time, overtime, and production by suppliers or procuring products from repair, maintenance and reconstruction centers, where each one has a distinct quality are among parameters considered in the propounded model. Also, special attention is paid to the assessment of suppliers and customers so that optimum satisfaction of the latter two groups is provided.
Thus, the proposed model contains 4 objective functions and about 20 constraints. The objective functions are minimizing total costs including production, maintenance, inventory and manpower costs, maximizing customer and supplier satisfaction and maximizing the quality of manufactured products. The constraints are such as inventory balance, capacity for holding, firing and hiring of force work, over time and regular time limit and so on. Finally the proposed model has been solved for the case study and one numerical example using Lingo software and LP metric method.  The developed model has been solved by L-P metric method for case study and numerical example from the literature (Mirzapour et al, 2011). In each case, by changing P and weight of objectives (wi), the Pareto optimal solutions (POS) have been delivered. In the case study for two values of P, some Pareto optimal solutions (Zi) have been shown in Table 1. In the article, for more value of P and wi the model has been solved and more POSs have been delivered. For each POS, the optimum value of decision variables from can be determined as the outputs of the model. In this article, a multi objective model for aggregate planning in a reverse supply chain for a high-tech industry has been developed. The proposed model contains four objective functions and 20 constraints. The model has been solved by L-P metric method via LINGO software for the case study and a numerical example from the literature. For future research, uncertainty conditions can be considered in the model.

The field of ballistic protection assessment is challenging due to the need of satisfying high precision requirements with a limited sample size. Identifying the probability of perforation at a specified projectile velocity is the most common way to quantify the ballistic resistance of a given protection structure. Recently several techniques have been developed for this purpose to assess perforation for all possible velocities. The main drawback of these techniques is the use of the normality assumption under which perforation velocities are expected to follow a Gaussian normal distribution where . Accordingly, any parameter of interest is estimated using the characteristic identified Gaussian distribution. In this work, Interior ballistic data obtained from real tests of intelligence mortar bomb and each selected life distributions applied to the external ballistic data, using the method of maximum likelihood to estimate the model parameters. Then, estimation results from the models compared and evaluated. Different criteria for assessing the goodness of each model investigated. The objective is to identify criteria that can distinguish which life distribution produces the best estimate of the performance of a particular armor model. Another objective of this work is to apply optimal model for obtaining different probabilities, investigating mission reliability, and studying hazard rate behavior of ballistic performance. Lifetime distributions are considered and the Mixture Normal distribution provided optimal results to assess and compare the estimations of ballistic performance data.

In today’s knowledge-based economy, intellectual capital has been used for organizations. Knowledge has been replaced with other capitals as the most important capital. The role of man power is notable as an effective factor and the most important capital. Also, organizational commitment has a considerable effect on the improvement of organization effectiveness and many variables. On the other hand, the function of organizations should be investigated for the purpose of maintaining their survival. Data enveloping analysis is one of the techniques which is used in this field. The aim of this study is to evaluate the function of organizational units based on the intellectual capital and organizational commitment with the use of DEA. In this study, units of operation, warehouse, design and manufacturing, production planning, quality assurance and education, laboratory and law enforcement became efficient and their efficiency ranks were identified with the use of AP method. Units of design and manufacturing, production and planning, quality assurance and education, operation, and laboratory were respectively ranked from first to fifth place and the rank of warehouse and law enforcement units were not identified. Also, the intensity of input effects on the organizational commitment was included customer capital, structural capital, and human capital.

Due to the progress of organizations and the increased competition among them, they are paying more attention to supporting factors of their operations. One of the factors that has highly been considered by organizations is enhancement of knowledge level of the organization. In recent years, organizations have found out that they can achieve competitive advantage through enhancement of their knowledge level and thus use its advantages and realize their agility at all dimensions of the organization, because increased level of knowledge management increases agility of employees and clients besides making the organization agile. Given the importance of knowledge management and organizational agility, performance of the Municipality in Isfahan province is evaluated using the above two approaches. To this end, data envelopment analysis is employed. Then, the most important dimensions of organizational agility are determined by means of sensitivity analysis.

The purpose of this research is to prioritize the effective factors in projectile performance. Prioritizing of these factors whit combination of Analytical Hierarchy Process (AHP) method and design of experiment Of Taguchi help designers to develop the performance of projectile structure. According to this that since now، researcher tried to increase the performance of projectile whit change in every factors separately، so in this paper tried whit combination of AHP method and design of experiment of Taguchi، analyzed and prioritized all the effective factors in projectile performance simultaneously. For this purpose first by design of experiment Of Taguchi the influence of every these factors on two criteria of range and drift were calculated and then by AHP method these factors were prioritized. By considering of equal weight for both range and drift، the result shows between 11 factors، Firing Angle whit value of 0. 3398، Muzzle Velocity whit value of 0. 2918 and Burning Time whit value of 0. 1257 were the most influenced factors in projectile performance respectively. Propellant Weight and Wind Velocity factors whit value of 0. 0104 and 0. 00092 were ranked in tenth and eleventh priority respectively.

This study attempts to present the key factors for creating agile organization in automotive part industry of Mashhad in order of importance. In this regard, factors and sub-factors of organizational agility in the industry were recognized and the importance of them was determined using fuzzy AHP group method. This is an application study using litrature review for determining the factors and sub-factors. Afterward in order to fit and creating the hierarchical structure, a questionnaire was made to gather the expert viewpoint.The content validity of the questionnaire confirmed using literature review, Supervisor, Co-Supervisor and the other experts . For reliability, Cronbach’s alpha value was calculated and obtained 0.7 for all dimenstion of questionnaire and indicates the internal consistency of the questionnaire. Then exploratory factor analysis was conducted and fifteen sub-factors was categorized in the four main components named technology, workers, organization and systems and strategies. In the next section, using fuzzy analytic hierarchy process and contributing group of industry experts, the weight of each factors and sub-factors were determined. Inconsistency rates for all tables, were calculated and less than 0.1 obtained. Finally the priorities of factors and sub-factors were determined. According to the findings, between the factors technology has the first rank and between the sub-factor hardware, software and virtual organization has the first to third rank.

Recognition and select appropriate strategies to improve the condition of organizations in the eve of the crisis is important. Due to proper planning horizons in strategy-focused organizations, risk and decision making under uncertainty is greatly reduced. Therefore, it's necessary to specification and characterization the relationship between strategic management and risk management and select the best strategy of it. Accordingly, in this paper to demonstrate a direct correlation between the results of managerial strategic decision making and environmental analysis of organizations to find its strategic condition is used compilation model that both of them in order to inappropriate condition of organization are for selection the best option. The strategic areas identified by analyzing the internal and external environment of the organization, which includes the recognition of strengths, weaknesses, opportunities and threats with the help of SWOT Matrix. Finally, based on the criteria and methods of Wald classical approaches, Hurwicz, Maximax, Savage, Laplace, mean-variance decisions are based on expectations, the most likely conditions, Expected Opportunity Loss (EOL), the cost of uncertainty, the coefficient of variation and limits of responsibility, two strategies are determined by the choice of strategies. Also research has been conducted in Epic Arya Carton and the results are presented.

At global level، each customer expects efficiency، quality and reliability with least competitive cost and product performance will be improved by using different reliability strategies and techniques. In this study، a conceptual and practical model has been proposed for planning and reliability strategic management in High-Tech new products development to determine and optimize reliability strategies at managerial and engineering levels، using two-level planning. At managerial level، the originality TORC matrix as well as optimizes strategies have been utilized and connected to the objectives of the organization via an originality model to assimilate zero and an linear programming model with quantitative strategic planning matrix and Yager fuzzy multi criteria model. At the engineering level، the reliability allocation strategies in High-Tech products has been proposed and then optimized. The study has been investigated in the space camera product and eight strategies of the 15 strategies at management level and one allocation strategy of 12 strategies for the reliability allocation at engineering level، have been selected as the best strategies for the space camera development based on reliability. By utilizing the designed model in this paper، managers are able to make best decisions and reliability strategies for High-Tech new products development، thereby، determining special purposes to reach huge goals.