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Open Access Article
1 - Discovering and analyzing the types of customer hostility in Iran's automotive industry
Aliasghar Poorteymoor soheila zarinjoy alvar Fereydoun OmidiThe main goal of this research was to discover and analyze the types of customer hostility in Iran's automotive industry. The main question was how to identify and categorize the types of customer hostility. Considering the exploratory nature of the research topic, MoreThe main goal of this research was to discover and analyze the types of customer hostility in Iran's automotive industry. The main question was how to identify and categorize the types of customer hostility. Considering the exploratory nature of the research topic, it is possible to provide an initial answer or a hypothetical plan. There is no corresponding to the main question above and the final answer has been achieved by using the theme analysis method. To collect data and extract the opinions of experts in the automotive industry, semi-structured interviews were conducted with 11 managers with experience in this industry. It was done with a purposeful method and as a snowball chain reference.Then, with a back-and-forth process based on theme analysis, key concepts related to the types of customer hostility in Iran's automotive industry were extracted. Finally, after conducting the research, the types: 1-Stable hostility 2-Temporary hostility 3-Political hostility 4-Economic hostility 5 -Organizational hostility 6-Individual hostility (psychological) 7-Cultural hostility were discovered as types of hostility in Iran's automotive industry. Manuscript profile -
Open Access Article
2 - Simulation and optimization model of the Signoff units in order to increase the logistic productivity and reduce the production and quality costs: A Case Study in Saipa Automotive Company
mohammad sarvar masouleh amir AziziIn the present research, an optimization process was performed in Signoff unit of Saipa Corporation based on the discrete event simulation using a multiple objective function. The required information, including the operation classes (product inspection, adjustment, and MoreIn the present research, an optimization process was performed in Signoff unit of Saipa Corporation based on the discrete event simulation using a multiple objective function. The required information, including the operation classes (product inspection, adjustment, and reworking), the flow between different workstations, operation times, production cost identification, etc., were extracted from the actual data recorded for March 2018- March 2019 period. For the purpose of simulation, firstly, the model was built using the Arena software and all effective parameters and variables were introduced into the model following the planning of various scenarios. Upon a predetermined number of iterations, the bottleneck was identified and the model was verified. Next, in a primary phase, the OptQuest software was utilized to find the optimal number of workers for minimizing the production costs after 378 iterations (upon satisfaction of an automatic stop criterion), and the result was used as input for a secondary phase where the model was optimized for enhancing the operational capacity of the logistic units upon 303 iterations. Using the results of this research, it was anticipated to achieve 21.6% drop in the number of Operator along with 10% increase in the logistic capacity, 4% reduction in the production costs, and 2% increase in the production rate. Manuscript profile -
Open Access Article
3 - Fuzzy Multi-Objective Model of Closed-Loop Supply Chain Network in the Automotive Industry with an Urban Management Approach
saeed aminpour alireza irajpour mahdi yazdaniIntroduction & Objective: The purpose of this study is to design a multi-objective model of fuzzy closed-loop supply chain network in the automotive industry with an urban management approach. Automobile manufacturing is a complex and energetic process that consumes MoreIntroduction & Objective: The purpose of this study is to design a multi-objective model of fuzzy closed-loop supply chain network in the automotive industry with an urban management approach. Automobile manufacturing is a complex and energetic process that consumes significant amounts of raw materials and water. To continue the competition, major automotive equipment manufacturers must strive for better product quality by continuously improving their production process and directing low-carbon emissions and increasing sustainability. In this regard, reverse supply chain networks and closed loop chains have special features that are very useful in the industry under study. Method: In the present study, in order to achieve the research objectives, a quantitative research method will be used and based on the purpose, it is defined in a practical way. In this study, we use the MOPSO method to facilitate its implementation and its ability to provide good convergence, as well as to maintain a proper balance between exploitation and exploration, as well as the NSGA II genetic algorithm. Results: In the study of the findings of the proposed algorithms, it found that the average error resulting from these algorithms is less than 0.04. The results also show that the proposed algorithms have the necessary efficiency in solving these problems. Conclusion: The notable results of our model are as follows: (1) an efficient closed-loop network that demonstrates the economic benefits of considering the value of time over the recycling of a worn product. (2) It has the ability to show the capacity to achieve maximum benefits in terms of cost value as well as the environmental perspective of what capacity it should maintain. Manuscript profile -
Open Access Article
4 - A framework for identifying LARG supply chain risks
Mohammad Ghoroghchian Omid Ali Adeli Mozhgan safa Mohammad Reza PourfakharanBackground & Objectives: LARG supply chain is a combination of four supply chains: lean, agile, resilient and green. Each type of supply chain has its own requirements that may conflict with other supply chain requirements. The study seeks to identify the types of r MoreBackground & Objectives: LARG supply chain is a combination of four supply chains: lean, agile, resilient and green. Each type of supply chain has its own requirements that may conflict with other supply chain requirements. The study seeks to identify the types of risks facing the LARG supply chain.Material and Methodology: The present study has a positive nature in terms of philosophical foundations due to the use of quantitative methods. From the orientation point of view, the research has an applied approach and its methodology is multiple. The statistical population of the study is the experts of the supply chain of the automotive industry who are selected using a judgmental method for sampling. In this study, two methods of fuzzy Delphi and best-worst were used to analyze the data.Findings: Initially, 41 risks were identified through literature and interviews with experts. In the following, these 41 risks are presented in the form of 13 main risks. Each of these risks is related to a specific supply chain. These risks were then screened by fuzzy Delphi and 25 risks were excluded. The remaining risks were prioritized using the BWM. The results showed that the risks of financing problems, production planning, changing customer demands and weakness of processes and recycling technology have the highest priority in each component of the LARG supply chain.Discussion and Conclusion: Diversifying financing tools, using new marketing methods and having a team approach in product development, paying attention to trends affecting future consumer behavior and examining changes in customers' buying behavior are the most important suggestions. Manuscript profile -
Open Access Article
5 - Separation of alumina from the paint sludge of automotive industry by leaching method
Mostafa Khezri Fateme AbdollahPaint sludge of automotive industries, due to having heavy metals, unbaked polymers, organic andinorganic pollutants, has been classified as a hazardous waste. For this reason, its proper disposal isfaced with many problems. Various methods yet have been developed by th MorePaint sludge of automotive industries, due to having heavy metals, unbaked polymers, organic andinorganic pollutants, has been classified as a hazardous waste. For this reason, its proper disposal isfaced with many problems. Various methods yet have been developed by the great automobilecompanies of the world to reduce the environmental impacts of paint sludge. One of the effective aneconomical methods for reduction of pollution is separation of heavy metals from paint sludge. Thepresent study was carried out to investigate the pollution of paint sludge from automotive industry, toreduce its pollution to environmental standard levels, and to recover alumina from the paint sludgethrough leaching method. After XRD and XRF tests on paint sludge, it was found that the amount ofalumina is relatively high. Separation of alumina was considered because of its economic value andvarious applications in different industries. After utilizing the common separation methods, it wasrevealed that by optimizing the parameters such as temperature, sludge particle size, and sulfuric acidconcentration through the leaching method, about 70% of alumina can be recovered Manuscript profile -
Open Access Article
6 - The Impact of Performance Criteria on Brand Value In the automotive industry
Abdolreza Tahmasebi Mirfeiz fallah Hamidreza Vakilifard Abdullah NaamiAbstractBrand value is an important concept in doing business as well as scientific research; Because companies gain competitive advantage with the power of their brand. The purpose of this study is to investigate the effect of financial performance criteria on brand va MoreAbstractBrand value is an important concept in doing business as well as scientific research; Because companies gain competitive advantage with the power of their brand. The purpose of this study is to investigate the effect of financial performance criteria on brand value in the automotive industry of Tehran Stock Exchange. For this purpose, the variables of stock return, sales return, asset return, equity return and operating cash ratio were used as performance criteria and Kyotubin criterion was used as a variable expressing the brand value of the company. The results of this study, which was obtained from the financial data of 32 companies in the automotive industry during the years 1391 to 1398 and the multivariate regression method showed that the factors affecting brand value in the short term (this year) and next year are different and only stock return as a performance measure can Affect the brand value of this year and next year. These results indicate that in order to explain the brand value in the short and long term, not all company performance metrics have information content and stock returns have shown their role in explaining the company's brand value.Keywords: Brand Value, Performance Criteria, Automotive Industry Manuscript profile -
Open Access Article
7 - Relationship Between Psychosocial Needs and Job Performance in Iranian Automotive-Industries Employees: Examining the Moderating Role of Mood
Marziyeh Posti Hadi FarhadiThis study was conducted to investigate the relationship between psychosocial needs and job performance and the role of mood adjustment in employees of Tehran automotive industry. The research was quantitative and correlational. The study population included all shift w MoreThis study was conducted to investigate the relationship between psychosocial needs and job performance and the role of mood adjustment in employees of Tehran automotive industry. The research was quantitative and correlational. The study population included all shift workers of three car companies, which were 1290 people and 660 people were selected by systematic random method and after completing the questionnaires, 437 questionnaires were completed. Research of three questionnaires: Positive and Negative Emotion (Watson, Clark & Telgen, 1997), Psychosocial Factors of the Workplace in the comprehensive guide to workplace assessment in Iran (2011) and Job Performance (Herci & Goldsmith, 1980) was used. Data were analyzed by Pearson correlation and hierarchical multiple regression analysis. The results showed that psychosocial needs are related to job performance and there is a positive relationship between positive mood and job performance and a negative relationship between negative mood and job performance (p <0.001). Also, positive and negative mood in the relationship between psychological needs - Social and job performance have a moderating role (p = 0.00). As a result, while addressing psychosocial needs can lead to high job performance among employees, it is important to pay attention to emotional issues and create high positive mood and lack of negative mood to increase job performance. Manuscript profile -
Open Access Article
8 - Identifying the Factors Affecting Government Support for Iranian Automotive Industry
Rasoul Neyshabouri Parviz Saeidi Hosein Didekhani Mohammad Reza Hoseini -
Open Access Article
9 - CO-Active Neuro- Fuzzy Inference System Application in Supply Chain Sustainability Assessment Based on Economic, Social, Environmental, and Governance Pillars
Mahsa Alahyari Nazanin Pilevari -
Open Access Article
10 - Dynamic System Analysis of R&D Based on Localization Capabilities in the Commercial Auto Industry
Soraya Lashgari Sadegh Abedi Seyedjavad Iranban -
Open Access Article
11 - Designing a Model for Implementing the Fourth Generation Industry to Achieve Sustainable Development Goals in the Automotive Industry (Case Study: Iran KhodroCompany(
Amir Ardehi Habibollah Javanmard Nazanin Pilevari -
Open Access Article
12 - Investigating the Factors Affecting Green Productivity in Iranian Automotive Industries Using Gray Dimetallic Approach
Adel Azar Reza Esmaeilpour ATENA MahdaviThe goal of products is to providing to products that are environmentally friendly. On the other hand, organizations are seeking to achieve eco-friendly products along with productivity. Regarding this, it can be said that the main goal of green productivity is to incre MoreThe goal of products is to providing to products that are environmentally friendly. On the other hand, organizations are seeking to achieve eco-friendly products along with productivity. Regarding this, it can be said that the main goal of green productivity is to increase environmental protection in a way that increases commercial profit, emphasizes the main issue of environment, quality and profitability and at different levels of regional, transregional, National and institutional, and its main approach is to improve the quality of life. Considering this, finding of effective factors in green productivity can be very important. Therefore, in this research, are considered factors of affecting green productivity in automobile industry with a grey dematel approach. First, the statistical population of the study is 40 ovens of automotive industry experts 23 factors influencing of green productivity were categorized into 6 main cultural, organizational, technical and technological groups, managers, planning and process. In the sequel, the effects of the interlocking factors were measured using the grey dematel method. The results of the findings showed that the most important causal factors in green productivity are technical and technological, cultural and managerial factors. It is suggested that green productivity planning be in line with these factors. In this regard, it is suggested that taking into account the causal relationships existing in this research, future plans are planned for the automotive industry in order to save time and cost management. Manuscript profile -
Open Access Article
13 - Provide a model for evaluating sustainable production performance in the automotive industry (case study: Iranian automotive industry)
Mohammad Saber Ghaemmaghami Ezato lah asghari zade Hasan FarsijaniThe automotive industry is one of the most important manufacturing industries in the world and in Iran this industry is known as the locomotive of other industries. However, the products of this industry have detrimental effects on the environment, and today, apart from MoreThe automotive industry is one of the most important manufacturing industries in the world and in Iran this industry is known as the locomotive of other industries. However, the products of this industry have detrimental effects on the environment, and today, apart from the traditional view of the performance of organizations, other issues such as environmental and social issues have become important for the success of the organization; Therefore, having a model to evaluate sustainable production performance in this industry is very important. The purpose of this study is to identify the indicators and present a model to evaluate the performance of sustainable production in the Iranian automotive industry. In order to review the opinions and conduct interviews in this research, 10 first-rate experts in the automotive industry have been randomly selected. The research was carried out in three main phases: identification of indicators with Meta-synthesis, screening of indicators with fuzzy Delphi and finally modeling by Interpretive Structural Modelling method. After performing fuzzy Delphi, 5 criteria and 20 indicators were identified and in the modeling phase of training programs for employees and reliability was identified as the cornerstone of the model and organizational culture as the most affectability indicator. According to the model, it is necessary to pay attention to all the identified criteria (economic, environmental, social, managerial and technological) to achieve sustainable production, and all different aspects of knowledge should be used in this direction. Manuscript profile -
Open Access Article
14 - Identifying Agility Assessment Factors using a mixed approach of qualitative and quantitative methods (case study: Automotive Industry)
Eisa Roghani Mamaghani Jala Haghighat monfared Ahmad JafarnejadTo achieve agile manufacturing in any manufacturing industry, needed to measure agility in that industry. The purpose of article is to identify and explain the main factors for measuring agility in the automotive industry as the most important non-oil industry. This res MoreTo achieve agile manufacturing in any manufacturing industry, needed to measure agility in that industry. The purpose of article is to identify and explain the main factors for measuring agility in the automotive industry as the most important non-oil industry. This research is an applied research in terms of purpose and a mixed qualitative-quantitative research in terms of method. The statistical population of the research in qualitative section is the academics and the automotive industry managers, and in the quantitative section is the experts of the mentioned industry. The method of collecting information has been through a questionnaire. In the qualitative section, First, by researching related articles by meta-synthesis method, 89 sources were selected and 27 criteria for measuring agility were identified. Then the criteria were generalized to the automotive industry by surveying 16 experts using fuzzy Delphi method. Then these criteria were categorized into 4 general clusters of agility drivers, agility enablers, agility strategies and agility capabilities using cognitive mapping method and with the help of 5 industry and university experts. In the quantitative part, by distributing questionnaires and surveys of 286 experts in the automotive industry, the extracted factors were validated by confirmatory factor analysis. These factors and criteria can be a good tool for managers of manufacturing industries to assess and gap analysis of the agility of their organizations. Agility enablers, agility strategies and agility capabilities measure the current level of agility of the organization and agility drivers measure the level of agility required by the organization. Manuscript profile -
Open Access Article
15 - Provide a Model in Determining the Impact of Block-Chain Technology on Supply Chain Performance using Fuzzy Inference Systems in the Automobile Industry
Ali Hossein Golzar Nazanin Pilevari SalmasiThe purpose of this study is to provide a model in determining the impact of block-chain technology on supply chain performance in the automobile industry using a fuzzy inference system design. In terms of purpose, this research is considered as applied research. The st MoreThe purpose of this study is to provide a model in determining the impact of block-chain technology on supply chain performance in the automobile industry using a fuzzy inference system design. In terms of purpose, this research is considered as applied research. The statistical population is the managers of three automobile industrial companies in Iran, including IranKhodro, Saipa, and ModiranKhodro. The statistical sample size of 36 people was selected by a combination of two methods: Nonprobability sampling (Judgmental) and Snowball sampling. Using library and field studies, the factors and sub-factors of the research have been selected. After library studies, seventeen sub-criteria in three main criteria of attenuating, amplifier, and possibility were identified as a conceptual model. After Gaussian fuzzy, 125 rules are set, based on experts' opinions. According to the results, if the changes in the attenuating interval are more than 0.5, it will reduce the performance, and if it is less than 0.5, it will not have much effect on the performance. If the changes in the amplifier and possibility intervals are less than 0,5, it creates a moderate level of change in performance. And if greater than 0.5, it will increase performance output. To validate and ensure its efficiency, Extreme Condition test has been used. The results of test for three SUB-FIS and all the designed FIS, showed reasonable behavior towards the limit’s values of the inputs, which indicates the validity of the designed model and that means the system has good accuracy and validity of the evaluation. Manuscript profile -
Open Access Article
16 - Cycle of supplier development and segmentation using ANFIS
Mansour Esmaeilzadeh Laya Olfat Maghsoud Amiri Iman Raeesi VananiManufacturers segment their strategic suppliers for their development. Supplier segmentation creates value and synergy with the supplier. purpose of this article is to link supplier development and supplier segmentation using ANFIS in automotive industry. For this purpo MoreManufacturers segment their strategic suppliers for their development. Supplier segmentation creates value and synergy with the supplier. purpose of this article is to link supplier development and supplier segmentation using ANFIS in automotive industry. For this purpose, first for each category, using three methods three fuzzy-neural systems were designed and using six methods (two classical methods and four meta-heuristic algorithms were optimized and the most suitable Neural Fuzzy system was selected. Then, the development score for 53 suppliers from the strategic suppliers of the automotive industry was predicted in four categories. according to the obtained scores, the suppliers were segmented. Finally, based on the activities related to the development of different capabilities, the necessary activities were proposed for the development of each of the suppliers. results show that automotive industry manufacturers at the supplier level must prioritize the use of activities related to relationship development, tangible capabilities, intangible capabilities, and environmental capabilities. Due to the fact that few studies have been done in this field, in the end, while comparing this study with one of the foreign studies, suggestions for the Iranian automotive industry as well as future research are presented. Manuscript profile -
Open Access Article
17 - Identification and Design of the Model of Critical Factors Realizing the Green Supply Chain of the Automotive Industry
Hossein Rahimi elahe taheriThe purpose of the present research is to "identify and design a model of critical factors for the realization of the green supply chain of automotive industry".In this research, by studying the literature, the factors affecting the emergence of the supply chain were id MoreThe purpose of the present research is to "identify and design a model of critical factors for the realization of the green supply chain of automotive industry".In this research, by studying the literature, the factors affecting the emergence of the supply chain were identified and then, in the quantitative phase, using the field research, the main goal of the research was realized. In order to identify the critical factors of the green supply chain of the automotive industry and the importance of each of the factors, a questionnaire consisting of 33 questions was given and 100 employees of the automotive synchronous company who were selected by random sampling were given. Data were analyzed using statistical analysis and t-test. The results showed that all four main components of green supply chain management include supply chain management, product recycling, organizational interaction, and life cycle management, and the underlying indicators of these factors in the automotive industry, and all of these factors are green in the supply chain. Manuscript profile -
Open Access Article
18 - Optimum supplier selection based on a hybrid MCDM approach: AHP-VIKOR
Armin Cheraghalipour Mohammad Mahdi Paydar Mostafa Hajiaghaei-KeshteliIn recent decades, the selection of suitable suppliers as one of the important issues in the field of supply chain management is considered. The evaluation and selection of the best suppliers need to make decisions based on different criteria. In this study, a hybrid MC MoreIn recent decades, the selection of suitable suppliers as one of the important issues in the field of supply chain management is considered. The evaluation and selection of the best suppliers need to make decisions based on different criteria. In this study, a hybrid MCDM approach consists of AHP and VIKOR methods has been proposed that at first paid to identify the most important criteria in the supplier selection based on previous studies and interviews with company executives. Then by using questionnaires, the paired comparisons of criteria and paired comparisons matrix of groups according to the views of managers and based on Analytic Hierarchy Process (AHP) is performed. Next, using a multi-criteria optimization technique (VIKOR), firm's suppliers are ranked. Furthermore, a case study in the automotive industry is applied to accumulate data for proposed framework. Finally, by identifying effective criteria, appropriate suppliers, and similarity of obtained results with other studies, the efficiency of the proposed model is proved. Manuscript profile -
Open Access Article
19 - Compare the performance of portable pneumatic cutting device electrodes made of Iran and its external sample
reza mazinani زینب بهمن آبادی رضا راه چمنی مهدی مزینانیThis invention has been designed in conjunction with spot welding machines, which is widely used in various industries including the automotive industry. The spot-welding electrodes made of copper alloy welding operations are performed. The electrodes after a certain nu MoreThis invention has been designed in conjunction with spot welding machines, which is widely used in various industries including the automotive industry. The spot-welding electrodes made of copper alloy welding operations are performed. The electrodes after a certain number of limited time to work and boiling point, Pleated and deformed and lose its original state. Therefore, no performance is required and Quality welded joint is severely drop. And in the case of product safety will be extremely low. This feature provides a portable electrode milling machine Copper electrodes of the device is opened without boiling point just in- line They shaved and re- forming. Thus, in addition to quality assurance and Strength boiling points, the shelf life of up to 10 times will be added. Manuscript profile -
Open Access Article
20 - Investigating the necessity of a sustainable production system of commercial vehicles in the country based on the dynamics system’s in the conditions of sanctions
Ardalan Hosseini Hassan Mehrmanesh Ahmadreza KasraeiThe automobile industry is one of the important and leading industries in the country, which plays an important role in generating income and economic growth. Therefore, the existence of stable systems in order to produce on time and whit high quality is of special nece MoreThe automobile industry is one of the important and leading industries in the country, which plays an important role in generating income and economic growth. Therefore, the existence of stable systems in order to produce on time and whit high quality is of special necessity in the automobile industry. Various models have been presented in the automobile industry based on non-sustainable production systems, each of has its own limitations and advantages. Considering that managers do not want to use stable systems due to their complexity. But this systems require a fundamental transformation in basic industries such as the automobile industry. So far, no method has been provided the can examine the necessity of a sustainable production system of commercial vehicles based on the dynamics system’s in the conditions of sanctions. In this article, in addition to modeling different methods of sustainable production system, the role and importance of this system, the factors affecting the system in the conditions of embargo, has been examined by presenting a dynamic model of sustainable production in the automobile industry. In order to achieve the intended goal, it is necessary that the main components and variables of this model are identified and test them. The research carried out in terms of targeting and research direction can be divided into applied, research and development categories. This research in fundamental and applied in nature. Manuscript profile -
Open Access Article
21 - Designing a sustainable production model in the automotive industry under sanctions and with a world-class approach
zahra pourvaziry gholamreza hashemzadeh khorasgani mahmood modiri hassan farsijaniAbstractIn the current era, one of the most important elements for the survival of the industry is to take advantage of a vision based on sustainable development. World-class manufacturing as a model of operational excellence transforms industry-related paradigms, so ac MoreAbstractIn the current era, one of the most important elements for the survival of the industry is to take advantage of a vision based on sustainable development. World-class manufacturing as a model of operational excellence transforms industry-related paradigms, so achieving sustainable world-class manufacturing components based on the localization approach in the automotive industry can be important solution in the field. The evolution of industry should be considered. This article is practical in terms of purpose and descriptive-exploratory in terms of performance. At the first time, the most important indicators of the world-class sustainable manufacturing model were identified based on the opinions of experts, and then the indicators were screened, after that, the data were analyzed to determine the relationships and how the factors affect each other. Finally, the prioritization of indicators is presented as the output of the model. The results show, in order to achieve sustainable production in the automotive industry, more attention needs to be noticed to the environmental dimension as one of the most important and effective dimensions of sustainable production and other barriers play a significant role in implementing strategies related to it.Keywords: Sustainable Production, World Class manufacturing, Sustainable Development, Automotive Industry Manuscript profile -
Open Access Article
22 - Study on Performance Assessment System Based on Automotive Industry Requirement Indices, Using Compilation Model TOPSIS, AHP and RADAR of European Foundation & Quality Management
mohammad taleghani naser hamidi seyed alireza mousavi farEnvironment conditions have placed the large organizations in a situation that some of them should continuously make efforts and compete in order to survive and to keep dominance in industry .So evaluating the indices of suppliers' performance; auto pieces manufacturing MoreEnvironment conditions have placed the large organizations in a situation that some of them should continuously make efforts and compete in order to survive and to keep dominance in industry .So evaluating the indices of suppliers' performance; auto pieces manufacturing organizations can try to increase the customers' satisfaction. The classical models of Supplier's performance evaluation were based on Production Cost control and efficiency. But now, unforeseen changes in business environment and managerial challenges have resulted in intense competition among the companies, entailing the consideration of non-financial indices. Achieving the target industrial indices such as (Process Audit, Product Audit, Time on Delivery, Cost of Quality, Part per Million, Overall Equipment Effectiveness and Measuring Customers Satisfaction) lead to excellence and customers' satisfaction in organizations. Using the above-mentioned indices as well as the scientific data and theoretical studies, this study offers a model integrating decision making model and Radar logic in organization excellence model (EFQM( and ranks of Faravari & Sakht Vehicle part manufacture Company Suppliers accordingly.. Manuscript profile -
Open Access Article
23 - Identification of Evaluation indicators in Automotive Industry LARG Supply Chain via Fuzzy Best-Worst Method: The Case of Saipa Yadak Company
Sina Aboei Mehrizi Mohammad Mehdi Movahedi Alireza Rashidi KomijanThe current study was undertaken to identify evaluation indicators of LARG supply chain in Saipa Yadak Company initially through fuzzy screening and further to weight and prioritize them through fuzzy best-worst method. The research population comprised 20 senior manage MoreThe current study was undertaken to identify evaluation indicators of LARG supply chain in Saipa Yadak Company initially through fuzzy screening and further to weight and prioritize them through fuzzy best-worst method. The research population comprised 20 senior managers at Saipa Yadak Company with at least 10 years of administrative experience within the supply chain management sector. The enquiry started with an extensive review of existing literature on the theoretical foundations and interviewing experts to identify indicators of LARG supply chain via fuzzy screening procedure. Having screened the indicators, we designed a paired comparison questionnaire which was piloted and distributed among the experts. The data obtained from the questionnaires were weighted and ranked using fuzzy best-worst method. The findings identified accountability, environmental function, speed of knowledge and technology, participation and support, human resource management, relation with suppliers and customers, competency, flexibility, and, cost and operation control as the most important indicator of the LARG supply chain, respectively. In addition, each indicator was weighted and prioritized to provide support for managers of at automotive industry through LARG supply chain evaluation and assist them in selecting effective solutions to reduce supply chain risks, and thereby, to facilitate decision making. Manuscript profile -
Open Access Article
24 - Biological Removal of Zinc from Automotive Hazardous Paint Sludge: a comparison between an endogenous Pseudomonas aeruginosa isolateand Acidithiobacillus thiooxidans PTCC1692
Fatemeh Honarjooy Barkusaraey Roya Mafigolami Gholam KhayatiResearch on the hazardous waste of paint sludge is mostly focused on recovering the sludge and pollution control with methods such as solidification. This research aimed to study the comparison of biological removal of zinc from paint sludge using a native Pseudomonas a MoreResearch on the hazardous waste of paint sludge is mostly focused on recovering the sludge and pollution control with methods such as solidification. This research aimed to study the comparison of biological removal of zinc from paint sludge using a native Pseudomonas aeruginosa strain and Acidithiobacillus thiooxidans PTCC 1692. Samples of water-based paint sludge were collected under aseptic conditions. Isolation of endogenous strains was performed in the Bushnell-Haas (BH) medium from paint sludge, and A. thiooxidans PTCC 1692 was cultured in the medium 119. Optimization of the process parameters for the biological removal of zinc was performed using the design of the experimental (DOE) method for both organisms. The results showed that A. thiooxidans is capable of biological removal of zinc with a higher pulp density and with a more extended bioleaching period. The results of the chemical analysis show the removal of zinc metal by 57.76% compared to P. aeruginosa by 36.39%, and, the removal of other metals such as Cr, Ni, Pb, and Cd were observed in the residual sludge from the process. Energy Disperse X-ray analysis (EDX) showed the more favorable effect of this bacterium in reducing heavy metals. Manuscript profile -
Open Access Article
25 - Considering the Criteria interdependency in the Matrix Approach to Robustness Analysis with Applying Fuzzy ANP
Ali Sorourkhah Seyyed Ahmad Edalatpanah -
Open Access Article
26 - The Social View and Urban Sociology in the Design of the Automobile Exhibition Town and its Impact on the Economic Growth of the City (Case Study of Ghaz Borkhar Town)
maryam aminian zahra abasiIn this research, it is attempted to investigate the necessary components in designing and locating the automobile exhibition towns to find practical and practical solutions for designing such spaces. Gaz is located in the center of the country as one of the hotbeds of MoreIn this research, it is attempted to investigate the necessary components in designing and locating the automobile exhibition towns to find practical and practical solutions for designing such spaces. Gaz is located in the center of the country as one of the hotbeds of the car supply and is considered as a case study of research hypotheses.1- Designing an exhibition city in the city of Gaz is a suitable way to solve urban problems and introduce industrial, economic and service innovations to consumer markets.2- The design of the township exhibits the noisy, disturbing, and polluted businesses from the city of Gaza City, and optimizes energy and time consumption as well as beautifully decorate the city walls.The method of conducting research according to the needs of the people to this project is quantitative and qualitative. In this method, the statistical community of all exhibitors in the city of Dargas is Borkar. A researcher-made questionnaire was used to collect data. The questionnaire consisted of 21 questions of four options. The validity of the questionnaire was verified by five relevant experts and the reliability of the questionnaire was obtained by Cronbach's alpha equal to 736/0 and by the method of two halving (Speilitehough) equal to 754/0 . Data were analyzed using SPSS-22 software and one-way t test.The results of the research showed that the design of the automobile fair town is a suitable way to solve urban traffic problems and, in addition to these, introduces industrial, economic, and service innovations, and aggregates disturbing and polluted businesses from the city, causing Optimization of energy and time, as well as beautiful walls of the city. Manuscript profile -
Open Access Article
27 - Examining the impact of customer satisfaction with after-sales service on corporate profitability
Shahriar Soltani Farzad Movahedi Sobhani Seyed Esmaeil Najafi -
Open Access Article
28 - Efficacy of fuzzy MADM approach in Six Sigma analysis phase in automotive sector
Rajeev Rathi Dinesh Khanduja S. K. Sharma -
Open Access Article
29 - The Effect of Financial Development on the Financing of Listed Companies in Tehran Stock Exchange
Naem Eslamdust Elham GholamiThe main objective of the study was to investigate the effect of financial development on the financing of companies listed on the stock exchange, which are related to the automotive-related industries. To this end, the effects of four indicators of financial developmen MoreThe main objective of the study was to investigate the effect of financial development on the financing of companies listed on the stock exchange, which are related to the automotive-related industries. To this end, the effects of four indicators of financial development, along with control variables such as profitability, liquidity and size of the company, have been investigated in the form of two regression models on two variables related to financing, namely, proportional relationship of both long-term debt and short-term debt to total assets. So that the two models, with the panel data taken from the 50 companies involved in automotive industry and active in stock exchange between the years 2011 to 2016, are assessed using fixed effects. The results show that stock market development has a positive and significant effect on the ratio of long-term debt to total assets. Meanwhile, the effect of the index on the stock market activity is more than the magnitude of the impact of the index relative to its size. However, the effect of the development of the banking sector on this ratio is negative and the effect of the indicator on the banking system activity is more than the magnitude of the impact of the index relative to its size. Manuscript profile -
Open Access Article
30 - TECHNOLOGY TRANSFER CONCEPTUAL INVESTIGATION IN THE AUTOMOTIVE INDUSTRY USING THE GROUNDED THEORY IN TWO CASE STUDIES OF PEUGEOT 301 AND 2008
Seyed Ahmad Modir ghomi Tahmorec Sohrabi Zadallah FathiAfter accepting the JCPOA and despite Peugeot's absence from cooperation with Iran Khodro for several years, the company, with the aim of transferring technology, re-launched a joint project with Peugeot to produce two products, 301 and 2008, but like the bitter experie MoreAfter accepting the JCPOA and despite Peugeot's absence from cooperation with Iran Khodro for several years, the company, with the aim of transferring technology, re-launched a joint project with Peugeot to produce two products, 301 and 2008, but like the bitter experiences of the past, This technology transfer project also failed; Therefore, in this article, the issue of technology transfer in the automotive industry is conceptually studied using the Grounded Theory of the foundation and the factors influencing it. In this article, from the beginning, technology transfer is assumed to be equivalent to knowledge transfer, and knowledge transfer is criticized in two categories: explicit and implicit knowledge. Based on the research background, the effective factors in technology transfer are classified into 7 groups. Then, the main questions for the project were collected in the interviews. From the interviews, 42 phrases called "conceptual perception" were obtained. The conceptual findings were then divided into 9 "semantic categories" and "root of weakness" in each semantic category. The results show that low competitive pressure in the Iranian automotive market has led to a monopoly, so that Peugeot Automotive Group has not transferred any of its advanced parts technology to Iranian suppliers of their parts. Manuscript profile -
Open Access Article
31 - Semi-quantitative Respiratory Health Risk Assessment of Exposure to Metalworking Fluids (Oil Mists) in an Automotive Industry
Zahra Moradpour Soleiman Ramezanifar Elham Asgari Gandomani Rezvan Zendehdel -
Open Access Article
32 - Identifying and Prioritizing the Components of Sustainable Human Resource Management Affecting the Development of Iran's Automotive Industry
Alireza Ahmadbeigi Masoud Ahmadi farshideh zameniThe purpose of this study was to identify and prioritize the components of sustainable human resource management which affects the development of the automotive industry. In order to achieve the objectives of the research through non-probable snowball sampling method, t MoreThe purpose of this study was to identify and prioritize the components of sustainable human resource management which affects the development of the automotive industry. In order to achieve the objectives of the research through non-probable snowball sampling method, the opinions of 15 experts in the field of human resources as well as senior development managers of Iran Khodro and Saipa companies, up to the theoretical saturation stage, were used.The present study has been carried out using a mixed exploratory research method in two parts: qualitative and quantitative. In the qualitative phase, using open source data theory and line-by-line analysis of the interviews, open coding was performed first. During open coding, about 129 items were extracted as basic concepts from the text of the interviews and then categorized into 20 indicators and five dimensions of causal conditions, contextual conditions, interventionist conditions, strategies and guidelines, and results and consequences. In the quantitative phase, the research was conducted in the form of a descriptive-survey research method and through a researcher-made questionnaire, the views of experts were collected and then the data were analyzed using a fuzzy hierarchical process (FAHP), and component priority in each of the five dimensions was determined.The results showed that economic conditions are the highest priority among causal conditions; recruitment and retention of manpower is the highest priority among the contextual conditions; government is the highest priority among interventionist conditions; investing in employee competencies for current and future scenarios have been given the highest priority among strategies and financial benefits and economic growth has the highest priority among outcomes and consequences. Manuscript profile -
Open Access Article
33 - Identifying the elements and components of the model of factors affecting the voluntary resignation of senior managers of the Iranian automotive Industry
Ruhollah Golshan Amir Hosseini Ahmad Vedadi Dariush GholamzadehToday, human capital is the most valuable asset of the organization and the success of organizations depends more on intangible assets than the financial and physical indicators such as the thoughts and ideas of employees, especially managers. Employees and managers are MoreToday, human capital is the most valuable asset of the organization and the success of organizations depends more on intangible assets than the financial and physical indicators such as the thoughts and ideas of employees, especially managers. Employees and managers are efficient and experienced in terms of performance compared to other employees and managers. With their vast experiences and capabilities, these individuals will be potentials for future generations of organizational leaders. The aim of this study was to identify the elements and components of the pattern of factors affecting the voluntary resignation of senior managers of Iran's automotive industry. This research was of qualitative type that content analysis method was used. The statistical population of the present study included senior managers of the automotive industry who were selected by purposive sampling method and 18 people were selected for interview until reaching the data saturation point. Semi-structured interview collection tool based on research findings, 5 factors as comprehensive or core themes including (government institutions, senior managers, organizational status, financial factors, performance factors), and 16 factors as organizational themes and 52 The factor was identified as the basic themes. Manuscript profile -
Open Access Article
34 - Modeling the Application of Knowledge Management System in Order to Improve the Technology Governance in the Automotive Industry of Iran Using the Data Mining Environment
Komeil Akbarnezhadbaei Mahmood Mohammadi Abdollah Kouloubandi Mohammad TaghipourIntroduction: Customer knowledge management is a combination of knowledge management and customer relationship management that is important for developing the organization's business strategy and thus improving organizational activities and achieving competitive advanta MoreIntroduction: Customer knowledge management is a combination of knowledge management and customer relationship management that is important for developing the organization's business strategy and thus improving organizational activities and achieving competitive advantage. With the development and expansion of knowledge and information technology, the project environment has become more complex. Methodology: Since knowledge management is one of the most important approaches that has been considered in this regard, the issue of the present study is to investigate the impact of knowledge management and each of its constituent processes (creation, application, sharing and storage of knowledge) on IT governance in the automotive industry.Results and discussion: Due to the fact that the impact of knowledge processes in the project environment is investigated, the method of this research was quantitative and the information required for this research was collected from the database of car companies. Level of car purchase is considered as a dependent variable and information about age, gender, income level, occupation, level of education, car history, marital status is considered as an independent variable. It was analyzed using data mining method and kmens algorithms and neural network method and support vector machine.Conclusion: The obtained results show that the use of knowledge management has been able to predict the types of customers and sales trends in the future and it is expected that the obtained results will be effective in managing the construction and production of the country's automotive industry. Manuscript profile -
Open Access Article
35 - The impact of social media with the help of artificial intelligence on customer engagement in the automotive industry
Nastaran Ghahremanzadeh سید عبدالله حیدریه Younos Vakil AlroaiaIn recent years, the use of artificial intelligence in social media has increased, and managers are trying to use this potential opportunity for greater customer engagement. The purpose of this study is the impact of social media with the help of artificial intelligence MoreIn recent years, the use of artificial intelligence in social media has increased, and managers are trying to use this potential opportunity for greater customer engagement. The purpose of this study is the impact of social media with the help of artificial intelligence on customer engagement in the automotive industry. The research has been done in a descriptive-survey way. The research community is qualitative and quantitative. The participants in the qualitative part include marketing managers of the automotive industry and university professors of marketing in the number of 23 people who were selected by non-probability and purposeful sampling. The statistical population in the quantitative part includes customers of the automotive industry, who were randomly selected and 412 people. In the qualitative part, the components and indicators of the model were identified and extracted by the content analysis method and finally confirmed by the Lawshe coefficient method. The findings of this section showed that the social media variable has four components including strategy, communication, trust and information, and customer engagement has three components: information engagement, growth engagement and innovation engagement. Therefore, four hypotheses were proposed and the data collected through the questionnaire were tested with structural equation modeling technique and Smart PLS software. The result of the model test showed that there is no relationship between the strategy, communication and trust of artificial intelligence of social media and customer engagement. However, there is a positive and significant relationship between social media artificial intelligence information and customer engagement. Therefore, the marketing managers of the automotive industry should use strategies, communication, trust and artificial intelligence information in social media to encourage customers to participate in the sharing of information and ideas. Manuscript profile
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