gholam reza jamali

The Lean, Agile, Resilience, and Green (LARG) supply chains are more competitive than conventional ones. Evaluating its performance under current conditions and developing suitable strategies is crucial to enhance LARG. This study aims to create an assessment model for LARG in Iran's hospital medical equipment supply chain, especially in Hamadan. The Fuzzy Inference System (FIS) evaluates LARG across four dimensions: lean, agile, resilient, and green. Key indicators obtained from a comprehensive review of the literature and other published reports in the field of LARG were also confirmed by a focused group of experts in the medical equipment supply chain field. The findings indicate that the value LARG of the medical equipment supply chain is 0.787. Key indicators for the evaluation of LARG in the hospital medical equipment supply chain include reducing overall supply chain costs, optimizing inventory management, shortening supply chain development cycle time, increasing the introduction of new products, promoting information sharing among supply chain members, establishing flexible supply bases and sourcing, reducing fossil fuel consumption, and implementing waste management practices such as reuse and recycling of recyclable materials. This research provides managers with valuable insights into the current state of LARG and serves as a reference for formulating LARG strategies and practices. The study's results enable supply chain actors, particularly in Iran's Hamadan Province, to comprehend the key indicators for improving LARG performance in the hospital medical equipment supply chain. The proposed model can be adapted to other industries and service sectors by adjusting the indicators and assessing data availability.

Smart technologies have brought changes in the supply chain. This study was conducted with the aim of investigating the impact of the Internet of Things on the intelligent management of the supply chain, which evaluates the relationships between variables and their impact and effectiveness with the fuzzy cognitive mapping method. The statistical population is academic experts and active experts in the drug distribution company in Bushehr province. After identifying the components from the background of the research, an interview was conducted. Then the questionnaire was presented to 10 experts and experts and it was analyzed in several stages, and finally, the main factors of the use of Internet of Things in the supply chain were determined in 9 categories of criteria and 41 sub-criteria. The criteria include: intelligent management of inventory and warehousing, intelligent management of operations, intelligent management of information, intelligent management of products, intelligent management of costs, intelligent management of corporate productivity, intelligent management of customers and drug suppliers, intelligent management of sales and marketing, and intelligent management of the environment.The results showed that intelligent information management was obtained as the most important indicator; Because it affects all indicators. intelligent management of customers, intelligent management of sales and marketing, and intelligent management of operations are the second most influential. Therefore, managers of the drug distribution industry should use Internet of Things technology to intelligently manage information in their organization, improve relationships with customers, improve operations and focus on the sales process, and optimize supply chain processes and profitability.

The current era is full of crises, one of these crises is the spread of the COVID-19 virus, which has affected the performance of all organizations and many times has brought the existence of organizations to destruction, including government organizations. It has not been an exception to this rule and they have faced problems with the spread of the coronavirus, which of course, regardless of the negative aspects and consequences, has sometimes brought positive consequences. This research aims to provide a model for analyzing sustainable organizational performance with an emphasis on unjustified presence in viral crises in government organizations, with the participation of experts, professors, and experts of government organizations based on a data-based approach.

In the qualitative data analysis section of this research, the analysis of the data obtained from the literature review and semi-structured interview with 11 experts and faculty members knowledgeable in the field of organizational performance was done, and then based on the foundation's data approach Strauss-Corbin method), during three stages of open, central and selective coding, qualitative models of presentism and absenteeism were designed in multi-wave conditions of Corona in government organizations. The aim of the current research is to present a model for analyzing sustainable organizational performance with an emphasis on unjustified presence in viral crises in government organizations, which are studied by the Ministry of Science, Research and Technology, so it can be said that this study is in the category of development research. It is placed. The current research is exploratory because it seeks to discover variables, limitations, and relationships in a model. The research strategy used in this study is the use of theory based on data. The main plan for formulating the theory arising from the data in this research is the systematic plan. Based on the systematic plan, for the analysis of the collected qualitative data, it is necessary to pass the open, central, and selective coding stage in order to finally present a logical paradigm or an objective image of the created theory. First, an initial list of potentially qualified people was selected for the interview and coordinated with them via e-mail or in person. Also, at the end of the interview, while sending the edited text of the interview, they were asked to present their suggestions and introduce people who have better and more information with them in this field. Finally, using the saturation rule, 11 people (including 9 faculty members and two organizational experts) were interviewed. The data collection tool at this stage of the research was face-to-face and in-depth interviews that were conducted with open questions between 30 and 45 minutes. Max Kyuda software was used for qualitative data analysis. The interviews are recorded so that by re-implementing, reviewing the conversations, and analyzing, a more detailed examination of the views of the participants can be done. A number of the interviewees did not allow the recording of the interview, so by taking notes from the interview, the items were transferred to the software in text form for coding. After coding the interviews, the information was transferred to Excel for final summarization. At the end, data analysis was done using open, central, and selective coding.

Seventin general categories in the form of the paradigm model of presentism, causal conditions (organizational, individual, environmental), main phenomenon (refusal approach, attitudinal approach, hypocritical approach), underlying conditions (organizational conditions, job conditions, community conditions) intervening conditions. Organizational factors, individual factors, strategies (management strategies, organizational strategies, cultural and social strategies), and consequences (individual negative consequences, negative organizational consequences, positive consequences of implementing strategies) have been identified. The proposed models were evaluated using the opinion of experts using a questionnaire with a range of 1 to 9. The results of average scores and factor loadings for both models indicate their validity. In the axial coding stage, all the open codes extracted from the first stage have been summarized in the form of main axes based on the relationship with the main concepts of the research. The output of this step is the central codes, the codes corresponding to them and the number of their repetitions. This stage includes determining the patterns in the data and the level of categorization, and it requires constant data comparison. In axial coding, the concepts and categories experienced in open coding are connected to each other in a new combination. For axial coding, there are different methods, in this research, the paradigm model of Strauss and Corbin (1994, 1998) was used. According to the concepts obtained from the previous stage, in this stage, by studying and reviewing again and the process of going back and forth between concepts, the relationship between concepts and categories were determined and separated. Causal, central, contextual, intervening conditions, strategies and consequences Figure 1 shows the schematic relationship between different categories.

The findings of the research showed that the strategies for analyzing organizational performance with an emphasis on unwarranted attendance include the categories of management strategies, organizational strategies, cultural and social strategies, which management strategies include factors that strengthen interactions and Communication between managers and employees, division of work according to the ability and interest of employees, correction of managers' mental models, and organizational strategies include factors for improving the organizational climate, use of working hours and flexible working hours, employee health monitoring programs, providing facilities for The treatment is the implementation of the suggestions system, flexibility in the leave rules, and the social-cultural strategies include the factors of counseling and support services, the development of educational and training centers related to people's interests, and raising awareness about establishing work-life balance. The results of this research showed that being aware of the phenomenon of unjustified attendance and its negative and positive consequences has a significant effect on the sustainable organizational performance of the studied organization.

The purpose of this research studies the impact of financial managers' cultural intelligence on the financial reporting quality of the firms listed in the Tehran Stock Exchange. The instruments of this research were the Cultural Intelligence Questionnaire (David Livermore, 2009) and the financial statements of the firms listed in Tehran Stock Exchange to study of the financial reporting quality. For this purpose, the data of 98 companies listed in Tehran Stock Exchange have been collected and processed. The realm of research is from 2013 to 2017. In this research, the modified Jones model is used to measure financial reporting quality. The findings of this research showed that the cultural intelligence of financial managers has a Positive and significant impact on financial reporting quality. So that for each change in each component of cultural intelligence (Motivational cultural Intelligence, Cognitive cultural Intelligence, Metacognitive cultural Intelligence, and Behavioral cultural Intelligence) Major changes have been made in the positive and significant direction in the financial reporting quality.

This research aims to provide a qualitative model based on data-based theory to analyze organizational performance with an emphasis on absenteeism in multi-wave conditions of Corona in government organizations, with the participation of experts, professors and experts of government organizations. In the initial stage, the analysis of the data obtained from the review of the background and literature of the subject, as well as interviews with 11 experts and faculty members knowledgeable in the field of human resources, were conducted. Then, based on the foundation's data approach, a qualitative model of organizational performance analysis was designed with an emphasis on absenteeism in multi-wave conditions of Corona in government organizations. The results showed that the main phenomenon of absenteeism is divided into two categories: avoidance and attitudinal, the causes of absenteeism are divided into two categories of organizational and individual factors, the background conditions of absenteeism are divided into three categories of occupational, organizational and environmental factors, the interveners of absenteeism are, work environment and personal health, balance between work and life, Improving and clarifying organizational processes, job training needs assessment, job pathology and improving employee/manager communication and the consequences of the absenteeism phenomenon including job injuries, client dissatisfaction, job alienation, depression and increasing organization costs and Positive consequences include personal health and work environment, reduction of material costs of the organization, help to the environment, increase of absent personal satisfaction, flexibility of daily work.And the results of this research show that organizational performance decreases with the presence of absenteeism

Background &

The phenomenon of unjustified presence (presenteeism) can be one of the common problems in today's organizations. This phenomenon is defined as the person's ineffective presence at work due to illness or long working hours. During the coronavirus pandemic, this phenomenon has appeared more. Organizations' inattention to the phenomenon of presenteeism can disrupt the organization's performance. Past studies show the fact that the phenomenon of presenteeism has a significant effect on the organization's performance. The purpose of this research is to provide a qualitative model based on data theory to analyze organizational performance with an emphasis on unwarranted attendance (presenteeism) in multi-wave conditions of Corona in government organizations.

By using the qualitative method (database method) by conducting semi-structured interviews with 11 experts and faculty members of government organizations. The current research aims to provide a model for analyzing organizational performance with an emphasis on presenteeism in multi-wave conditions of Corona in government organizations, so it can be said that this study is in the category of developmental research. The current research is exploratory because it seeks to discover variables, limitations, and relationships in a model. The research strategy used in this study is the use of theory based on data. The main plan for formulating the theory arising from the data in this research is the systematic plan. First, an initial list of potentially qualified people for interview (about 18 people) was selected and coordinated with them through e-mail or in person. Also, at the end of the interview, while sending the edited text of the interview, they were asked to present their suggestions and introduce people who have better and more information with them in this field. Finally, using the saturation rule, 11 people (including 9 faculty members and two organizational experts) were interviewed. The data collection tool in this phase of the research was face-to-face and in-depth interviews that were conducted with open questions between 30 and 45 minutes. Max Kyuda software was used for qualitative data analysis. The interviews are recorded so that by re-implementing, reviewing the conversations, and analyzing, a more detailed examination of the views of the participants can be done. A number of the interviewees did not allow the recording of the interview, so by taking notes from the interview, the items were transferred to the software in text form for coding. After coding the interviews, the information was transferred to Excel for final summarization. In the end, data analysis was done using open, central, and selective coding.

The results showed that the main phenomenon of presenteeism is divided into three categories: avoidance, attitudinal, fraudulent, and dramatic, the originators into two categories of organizational and individual factors, the background conditions into three categories of job, organizational, and environmental factors, and the intervenors into five categories of social service factors. , empowering employees, acquiring employment competence, an atmosphere of trust and respect, and organizational justice and reduction strategies, including work-life balance, job pathology, job training needs assessment, remote work management, and increasing communication skills between managers and employees, and the consequences are divided into two categories. Negative and positive were classified. In the discovered categories, two main activities have been carried out. First, the main concepts were extracted from the above codings and then these concepts were classified based on their relationship with similar topics, which is called categorization. The selected title for the categories is mainly chosen by the researcher (by looking at the research literature). Table 4 shows the concepts and open codes of the subset of each concept. In the stage of selective coding and presentation of the qualitative model of the research, after 11 interviews with professors and experts familiar with the phenomenon of presenteeism in order to provide a performance analysis model in the conditions of COVID-19, based on the foundation's data method, it was released. The steps of selective coding are not clearly separated from each other and are done through an interactive process, along with open and axial coding. In a nutshell, the data analysis procedure that leads to the creation of a theoretical model; they include causal conditions, main phenomenon, background, intervening conditions, action/reaction strategies, and consequences; which explain the phenomenon of "presenteeism in multi-wave conditions of Corona in government organizations".

The findings showed that the background conditions of presenteeism are classified into three categories occupational, organizational, and environmental factors. In this research, relying on the ideas extracted from the text of the interviews, and reviewing the literature on presenteeism interventionists, they were divided into five categories: social service factors, employee empowerment, employment competency acquisition, trust and respect environment, and organizational justice. As another component of the designed qualitative model, strategies to reduce presenteeism include work-life balance, job pathology, job training needs assessment, remote work management, and increasing communication skills between managers and employees. The findings showed that the consequences of the presenteeism phenomenon are in two categories negative consequences, including burnout, absenteeism, client dissatisfaction, job alienation, depression, health deterioration, and an increase in the organization's costs, and positive outcomes, including a reduction in errors and occupational accidents, a decrease Contamination of the work environment and prevention of disease transmission, increasing performance/productivity, improving health, honoring clients, creating a positive brand image of the organization and creating individual satisfaction. The existing literature has focused mainly on the negative consequences of the reduction of productivity and performance caused by unjustified attendance. The negative consequences of unjustified presence for companies and organizations include the need to correct defective products, provide inappropriate services, handle customer complaints, and experience a weak organizational image. According to executives surveyed in the United States; the productivity and cost impacts of companies experiencing presenteeism (as well as absenteeism) have been particularly high in businesses with a high amount of team production, high requirements for on-time product delivery, and substantial difficulties in replacing absent workers.

The producer can warehouse the perishable items and reuse them in the production line by creating an appropriate cooperation relationship and sharing information related to demand and stocks in order to provide the field to save money, reduce the environmental population, and use natural resources less. Therefore, it is also necessary to use the concept of the supply chain of perishable items in the supply chain. In this study a new approach will be provided to develop the agility of the supply chain to establish an integrated and agile supply chain to create an informational and operational linking bridge between different sections of the supply chain. Hence, a multi-objective mathematical model will be presented considering the maximization of the level of agility, the minimization of the perishing of goods, minimization of the time of distributing goods by systemizing the retail distribution system and since the agile supply chain model is considered as difficult problems, Epsilon- Constraint method and Benders Exact Solution method will be used to develop this research. Benders method is a decomposition algorithm that creates smaller sections of agility in solving the model by decomposing the mathematical model. First, the model is evaluated, and a problem is designed to assess the performance of the proposed model, and it is solved by using GAMS and CPLEX solver. Then the validity of the provided model is analyzed by the approach of the meta-heuristic algorithm Moka.

The increased knowledge about environment and decline in reservoirs of fossil resources has led the industry to enhance and produce other sustainable fuels by using renewable, which are environmentally acceptable. Biofuel is a kind of fuel derived from biomass resources. Biomass is also the source of fossil fuels that are used today; however, this biomass has been formed over long years. The reduction in fossil fuel resources and the destructive effect of these fuels on the environment have made researchers replace such resources. Therefore, the extant study presented a multi-objective mathematical model for a biofuel sustainable supply chain, by consideration of demand uncertainty. Finally, the research developed the mathematical model considering uncertainty and using Bertsimas and Sim Robustness Approach. According to the proposed model, sustainability objectives were discussed and investigated, including economic, social, and environmental issues. Ultimately, the presented model was confirmed by using the epsilon constrained method (ε constrained method) and the model was validated using the integrated ε constrained-Benders Approach.

This study aims to locate the Customer Order Decoupling Point (CODP) based on supply chain typology using Make to Stock (MTS) and Make to Order (MTO) approaches for standard and innovative products in the Bushehr Polymer industry.

Two mathematical models have been proposed that seek to minimize the costs of mass production, customized production, and transportation costs. To solve and simulate the models, MATLAB R2019a software has been used. Then, the indicators and requirements of pulling and pushing production management strategies have been extracted and calculated.

The results indicated that the polymerization stages of the products include six stages: casting, molding, extrusion, bonding, cutting, and forming. Also, findings indicated that the optimal locating of (CODP) for polymer products is in the pushing production area and the cutting and molding stage. The determined optimal location indicated that the producer will have the lowest cost at this location for future production. It was inferred that the (CODP) point is based on the supply chain typology approach in the cutting and mass production area. Considering the nature of the linear model minimization of this research, the total cost index (C) indicated the lowest value in this area. Research

Due to the unique characteristics of the case study, the results of this research cannot be generalized to other industries. The covid-19 pandemic resulted in difficult access to data. The lack of research-related studies was another limitation. It was recommended to examine the position (CODP) in the LARG, sustainable and robust supply chain. Also, it was suggested to perform similar research in other industries and compare the results. Practical implications: Most of the company's products were located in the mass production area or standard products, hence, the company must maintain its profit margin by focusing and relying on this area. On the other hand, it should be noted that in the current economic situation, accepting separate orders outside the normal production conditions, not only does not benefit the company but also leads to the loss of the available resources spent on production lines. The supply chain typology of polymer products outlined that the values of the variables of the studied model in a period of 12 months can be calculated based on the point of separation of the customer order.

This study removes additional and ineffective patterns in the literature and enumerates the necessary indicators to determine the point of CODP. The innovation aspect of this study is the typological approach of the polymer supply chain and identifying its six steps for determining the CODP point to manage cost and time.

In the past, the industries focused on the economic aspect of their work. Nowadays, they must also consider the supply chain sustainability as a long-term strategy to maintain their competitive advantages. Hence the social and environmental effects of the supply chain are taken into account. The aim of this study is the analysis and step-wise assessment of the supply chain sustainability toward improving the industries’ competitive advantages in the Bushehr province cement companies based on the LARG supply chain competitive strategies. Based on literature review, LARG stands for Lean, Agile, Resilient, and Green, and the dimensions of supply chain sustainability are identified and classified as economic, social, and environmental. The statistical population includes 20 experts in Bushehr province cement companies and among them 10 people are selected due to their experience and background. The questionnaires related to a multi-criteria decision-making technique named the step-wise weight assessment ratio analysis (SWARA) technique, are used for calculating the weight and rank of each LARG competitive supply chain strategies and supply chain sustainability dimensions. The results show that the ‘Green’ strategy is the most important strategy in Bushehr province cement companies supply chain with the weight of 0.41, and the other strategies and their relevant weights are ranked as follows: Lean (0.28), Agile (0.18) and Resilient (0.13). The results also show that in order to gain supply chain sustainability in Bushehr cement industries, the environmental, social responsibility and economic dimensions would have the weights of 0.48, 0.31 and 0.21 respectively, demonstrating the environmental dimension as the most important dimension in the supply chain sustainability.

Over the past decade, there have always been new paradigms in supply chain design. The green supply chain is a new concept that helps organizations deal with unexpected disruptions and minimize environmental impacts. The main purpose of this study is to present a multi-objective optimization model for a green-resilient supply chain network in cement industries. Dashtestan cement industries have been selected for validation and implementation of the model.

After reviewing the theoretical foundations and experimental background, the network was designed. Then, an appropriate mathematical model was developed and validated by a case study. In this study, scenarios were defined in two modes of production surplus and non-production surplus. Data analysis in each scenario was performed with MATLAB software. The CPLEX solver was also used to solve the model.

The results showed that Dashtestan Cement Company's production surplus has no effect on supply chain resilience. Also, it can be concluded that if there is a production surplus, the cost of carbon dioxide emissions is less than the one in the absence of surplus production.

The company's production level has little effect on the cost of carbon dioxide emissions and the amount of that in the designed network is mostly due to the carbon emission rate in the production nodes and arcs. Therefore, the reduction of carbon footprint in these parts of the network should be considered.

Much has been written about various approaches which pay attention to supply chain from specific angles. One of the new approaches is an integration of Lean, Agile, Resilient, and Green (LARG) that benefiting from the advantages of different approaches and avoiding their disadvantages. This study aims to present a model for analyzing LARG supply chain using Axiomatic Design (AD) and Sustainable Balanced Scorecard (SBSC) in a Hesitant Fuzzy (HF) environment in automaker industry. The study process consisted of two stages: designing stage and evaluating stage. In the first stage, the Functional Requirements (FR) and chain Design Parameters (DP) identified in the LARG supply chain based on the Delphi technique and literature review. In the second stage an integration of information axiom, the Best-Worst Method (BWM), SBSC and hesitant fuzzy logic was used to analyze supply chain in Iran automaker industry. The results showed all 21 indicators are met in both independence and information axioms. Among LARG supply chain criteria, customer requirements, and timely delivery of the car to the customer is the most important and the use of multi-purpose labor and up-to-date machinery is the least important. Among sustainable balanced scorecard perspectives, growth and learning perspectives are the most important and internal processes perspective is the least important. The model with integrating LARG supply chain using AD and SBSC in a hesitant fuzzy environment has caused the designed model to have many capabilities compared to the existing models.

Needs assessment is one of the important indicators of organizational training that increases the effectiveness of courses and provides appropriate feedback. The purpose of this article is to assess the educational needs of employees based on the competency model with the approach of group hierarchical analysis, which has been implemented in a case study of the process.

The method of this research is descriptive-survey type. The statistical population of the study consists of 15 experts from the General Department of Roads and Urban Development of Bushehr Province, 7 of whom had more than 10 years of experience in the field of education were selected as a sample. By studying the research literature, a list of competencies required by employees was identified. Finally, 5 main categories of staff competencies including individual skills, personality and value skills, emotional and social interaction skills, adaptability skills and reasoning skills and 19 sub-criteria were selected and categorized. In the next step, the hierarchical tree of the research problem was drawn and finally, the group hierarchical analysis process was used to calculate the weight and prioritize the identified competencies.

The results showed that among the competencies, individual skill with a weight of 0.49 is the most important educational need of employees, followed by the need for personality skills with a weight of 0.24, emotional skills and interactions, respectively. Social and adaptability skills are at a weight of 0.10 and reasoning skills are at a weight of 0.07.

The results of the present study show the importance of individual and personality skills in the development of educational competencies and the effectiveness of needs assessment. Therefore, paying attention to these skills can provide the basis for more effective training courses.

Reliability is one of the most important performance evaluation indicators in maintenance and repair filed. The present study is a mixed design attempting to identify the antifragility components and their effect on the system reliability using the system dynamics. In the qualitative section, using by the thematic analysis method, with the participation of 10 organizational and academic experts, antifragility factors were identified in the form of 254 open codes, 18 organizing codes and two global codes with the review of literature and using Maxqda 2020 software. In the quantitative part of the research, the relationship between the antifragility factors with the system reliability was investigated using multiple regression method. The three criteria of learning, redundancy and exploratory discussions were identified and selected as the factors that have the highest impact on system reliability. The effect of these indicators on system reliability in a dynamic environment was simulated using the Vensim software, DDS version. The results show the positive effect of all three criteria of learning, redundancy and exploratory discussions on improving the reliability of the system in the area in gas transmission Company-zone 10. Also, the redundancy index had the highest effect and learning components and explorative discussions were in the next classes of impact on improving the system reliability.

The purpose of this research studies the impact of business intelligence on the financial reporting quality of listed companies in the Tehran Stock Exchange using structural equation modeling. The instruments of this research were the business Intelligence Questionnaire (Provich, 2012) and the financial statements of listed companies in The Tehran Stock Exchange to study of the financial reporting quality. For this purpose, the data of 182 listed companies in the Tehran Stock Exchange in 2018 was collected and processed. To analyze the data, Partial Least Squares Method and PLS-3 software were used. The findings of the research showed that each of the components of business intelligence including data integrity, analytical capabilities, information content quality, information access quality, use of information in business process, and Analytical decision - making culture has a positive and significant effect on the financial reporting quality

There have been various approaches to the supply chain such as lean, agile, robustness, sustainability, resilient, and green that each one focuses on supply chain from specific aspect. One of the new approaches to the supply chain is an integration of Lean, Agile, Resilient, and Green (LARG) that benefiting from the advantages of different approaches and avoiding their disadvantages. The present study proposes a model to design and evaluate LARG-based supply chain in the Iran automotive industry using the concept of Axiomatic Design (AD) in a Hesitant Fuzzy (HF) environment. The study process consisted of two stages: designing stage and evaluating stage. In the first stage, the Functional Requirements (FR) and chain Design Parameters (DP) identified in the LARG supply chain based on the Delphi technique and literature review. Based on independence axiom, it should be considered that whether the satisfaction of one FR by the related DPs affects the quality of the other FR or not, which is examined based on the design matrix. In the second stage an integration of information axiom, the Best-Worst Method (BWM), and hesitant fuzzy logic was used to evaluate four supply chains in Iran automotive industry. The weight of supply chain criteria, the utility rate of desired supply chain criteria, and the current status for each supply chain criteria identified in this stage. The results indicated that the excellent LARG supply chain was consisted of 13 indicators. The model also revealed that the excellent supply chain was contained less information axiom and complexity.

Identification the role of LARG supply chain competitive strategies and dimensions of supply chain sustainability toward competition ability, performance and sustainability improvement is one of the most important challenges in Bushehr province cement companies. This study aims to analyzing dimensions of dupply chain sustainability in cement companies based on LARG supply chain competitive strategies in Bushehr province. Based on literature review, LARG competitive strategies and dimensions include: Lean, Agile, Resilient, and Green and dimensions of supply chain sustainability include: economic, social, and environmental identified and classified. There are a population included 15 experts in Bushehr province cement companies and among them 10 people were selected due to their experience and background. A multi-criteria decision-making technique named SWARA, applied for calculation the weight and importance of each LARG competitive supply chain strategies and supply chain sustainability dimensions. The results showed that Green supply chain strategies as the most important strategy in Bushehr province cement companies supply chain with the weight of 0.41, Lean 0.28, Agile 0.18 and Resilient 0.13 ranked first to fourth respectively. The results also showed in order to gain supply chain sustainability in Bushehr cement industries, the environmental dimension having 0.50 weight, social responsibility dimension 0.30 and economic dimension 0.20 ranked first to third respectively.

A formidable challenge facing cement industries in Boushehr Province is the management of supply chain sustainability in a way to promote its overall performance and productivity. The present study aimed to scrutinize the impact of LARG  competitive strategies on this supply chain sustainability and prioritize them. Initially, the conceptual model of the study was developed through an extensive literature review and identification of prerequisite LARG competitive strategies including tolerance, purity, agility and greenness alongside economic, social and environmental responsibility dimensions of sustainability. The research population comprised 220 employees and managers at Boushehr cement industries out of whom a sample of 140 was randomly recruited based on Cochran formula. The research data were collected using two questionnaires and were analyzed via Factor Analysis. The findings verified the significant and positive impact of all LARG competitive strategies on supply chain sustainability of the cement industries in Bushehr. The findings accentuate the fact that managers in Boushehr cement industries should take into account appropriate risk management strategies to thrive under competitive conditions.

The aim of this paper is to study the effect of green marketing strategies on competitive advantage cooperative companies in Bushehr city in 2019. This research is applied in terms of purpose and descriptive and survey-analytical in terms of research method. It is also considered as a cross-sectional research. Statistical population of this research included 1374 managers, assistants and experts of cooperative companies in Bushehr city. Sample size included 300 people selected by Cochran formula using simple random sampling. A researcher-made questionnaire was used to collect. The questionnaire consisted of 32 items and was assessed using a five-point Likert scale. To assess the validity of the questionnaire, two types of rational validity and construct validity were considered. Also, the results of combined reliability showed that all components had a combined reliability greater than 0.7. To investigate the conceptual model confirmatory factor analysis and testing of research hypotheses, Structural Equation Modeling (SEM) and Partial Least Squares (PLS) method have been used using SmartPLS2 software. Results showed that green product, green pricing, green suppliers, green advertising, research and development of green, green distribution and green packaging strategies, has positive and significant effect on competitive advantage of cooperative companies in Bushehr city.

This paper aims to propose a mixed approach for evaluating preventive maintenance performance based on anti-fragility factors in Iranian Gas Transmission Company (IGTC) district 10.

Design/methodology/approach: 

In the quantitative part of this mixed research, using the Fuzzy Delphi Method (FDM), out of 131 key performance indicators taken from different standards, 16 indicators identified suitable for the activities of IGTC district 10. In the qualitative section, using the thematic analysis method, ten organizational and academic experts participated, and anti-fragility components in the form of 254 open codes, 18 organizing codes, and two comprehensive codes identified and categorized using Maxqda2020 software. The effect of these indicators on maintenance key performance indicators investigated using the canonical correlation method.

Findings indicated that learning and growth, panarchy, heuristics, harmonization, and Barbell strategy of behavioural components, and redundancy, participation system, and high reliability of structural components had the highest impact on key maintenance performance indicators including condition-based maintenance cost, average downtime, percentage of accidents involving personnel, and the mean time between failures.

 Research limitations/implications: 

The most important limitation of this research is that due to the case study unique characteristics, the results could not be generalized to other companies. Besides, the proposed model developed based on anti-fragility factors that are not available simply or difficult to define for every company. So, it is suggested that in order to apply the proposed model, first the anti-fragility factors for the company should be localized.

 Practical implications: 

By applying the proposed model, companies can expect a significant decrease in the total preventive maintenance cost and human injuries caused by defects and breakdowns. Also, managerial planning in the preventive maintenance system toward the resource allocation to the equipment and PM personnel will be simple.

Social implications: 

Recognizing anti-fragility factors and reducing irreparable human and technical damages will lead to positive employee and social attitude towards the company. Also, the proper performance of a preventive maintenance system will result in a clean and carbon-free environment.  

Originality/value :

The proposed approach is suitable for evaluating preventive maintenance performance based on anti-fragility factors in companies. The use of quantitative and qualitative analysis in the proposed methodology was not considered in the reviewed literature, simultaneously. So this approach can be a model for other subsidiaries in the oil and gas industry to follow.

Growing global demand for energy, result in depletion of easily access source of fossil fuels. To fulfillment of this huge demand, oil and gas industry expanded to develop offshore oil and gas reservoirs in recent years, which made environmental management challenging. IRAN owns one of the biggest offshore gas reservoir in PERSIAN GULF with high geopolitical and financial importance. Along the exploration and production of oil and gas, different environmental impacts may occur including indirect & direct physical disturbances, which highlight the importance of green supply chain management. Beside the environmental issues, due to heavy investment on south pars gas field, risk assessment is an inherent part of supply chain management. To mitigate the risk and overcome successfully with disturbances the term of “resiliency “has recently attracted much attention among supply chain managers. In the field of supply chain management, resiliency may be explicated as the ability of supply chains to return to normal conditions after a disruption. The focus of this study is to enhance the level of greenness and resiliency of natural gas supply chain in IRAN. For this purpose, a local natural gas supply chain, which encompasses 3 gas well platforms, 5 refineries and 6 compressor stations is considered. A fuzzy MCDM method is then used to indicate the level of resiliency and greenness of each entity in natural gas supply chain. finally the facilities with higher GRI (Green-Resilient Index) is proposed to remain in chain. The results show that the proposed technique can be used as a tool for organizations to evaluate a supply chain network structure regarding the greenness & resilience aspects.

This study aimed to analyze the relationship among Humanized Flexible Manufacturing System (HFMS) enablers in auto-manufacturing Industries using the Fuzzy Cognitive Map (FCM) approach. The theoretical foundation of the study was set and consolidated through a comprehensive literature review and based on views from 10 experts in Iran auto-manufacturing companies. The research population comprised 20 auto-manufacturing industry experts familiar with the HFMS system and 320 employees at car manufacturing companies including Iran Khodro, Pars, and Zagros, Saipa, Kerman, Bahman and Modiran Khodro companies. A sample of 10 from the experts and 174 from the employees were randomly selected using Cochran Formula. The relationship among the HFMS system enablers was investigated by analyzing verbal tags in the form of FCM. The findings revealed that the most important flexible HFMS system enablers comprised employees’ commitment, availability of trained personnel, top management involvement and commitment, effective long-term planning, sound favourable financial condition, reduced maintenance cost, organizational work culture, employees’ satisfaction, provision of incentives and rewards and operational and control techniques. The findings underscore the key role of human factor in the FMS and signify the need for developing a road map in car-manufacturing companies that can be employed to prevent the loss of resources including human resources and updat the company’s objectives and perspectives in the strategic planning process.

The purpose of this research is to identify the factors affecting services supply chain, as well as, determine their weight and ranking in the airline agencies in Bushehr city First, to identify the criteria affecting services supply chain, the research background was studied, and based on that, the conceptual model of research was designed. This study is an applied research in terms of purpose and an analytic survey one in terms of method of research and cross-sectional in term of time horizon. The statistical population included 20 experts from 13 airline agencies in Bushehr city. Out of the statistical population of the study, sample size included 10 expert selected based on simple random sampling. In this research, by using Stepwise Weight Assessment Ratio Analysis (SWARA) method, which is a multi-criteria decision-making technique, the factors affecting services supply chain are weighted and ranked Findings from the application of SWARA method showed that the factors related to market and customer recognition with the weight of 0.36 is the first priority in airline agencies and one of the main factors in order to achieve competitive advantage and improve the productivity and profitability of airline agencies. In addition, strategic factors with weight 0.26, technological factors with the weight of 0.17, operational factors with the weight of 0.12 and organizational factors with the weight of 0.09 ranked second to fifth, respectively The results indicate the high priority of factors related to market and customer recognition among the factors affecting services supply chain in the airline agencies in Bushehr city

Supply Chain Management (SCM) is considered as a key factor to achieve goals such as creating competitive advantage, product quality improvement and increasing profitability in the cement industry. The main purpose of this research is to determine competitive positioning for LARG supply chain in the iranian cement industry and to do Importance-Performance Analysis (IPA) for its related strategic requirements (Strenghts, Weaknesses, Opportunities and Threats). A survey-descriptive research method was applied and an available sample includes 11 Iranian cement companies were selected. First, with reviewing related literature and using the Delphi Method (DM), the strategic requirements of LARG supply chain in the cement industry identified. In the next step, the importance of each strategic requirement determined using SWARA technique. Then the results of applying Internal/External Factors Evaluation (IFE/EFE) matrix showed that to achieve the suitable position in the LARG supply chain for the Iranian cement industry an aggressive strategy should be taken. In the final step, applying Importance-Performance Analysis (IPA) matrix showed all requirements for aggressive strategy except exporting opportunities and cooperation culture in the supply chain that were in quadrant one, evaluated in quadrant II (keep up the good work). Finally, some suggestions presented toward improving LARG supply chain performance in the Iranian cement industry.

Proper management of health systems requires the use of a suitable decision making logic. Simulation is a good tool for accurate and evidence-based decision making. The main objective of this study was to developing a simulation model to minimize the waiting time of patients in the cardiac subspecality clinic of Kowsar Hospital. This is a cross-sectional study. The statistical population consisted of 576 patients, referring to Kowsar cardiac clinic in the morning and afternoon shifts. Data collection was conducted according to a designed timetable form. Scenarios were defined to receive the best answer. These scenarios were as follows: scenario A: decrease of the average of the service time; scenario B: increase of the mean time between the two entries; and scenario C: decrease of the service time and increase of the time between two entries. ARENA software was used to simulate and review the scenarios and General Algebraic Modeling System (GAMS) softwarewas used to obtain a definite answer. Simulation results showed that in scenario A the mean time spent in the system was 85.55 minutes in the morning and 77.05 minutes in the evening shifts. In scenario B, the average time spent in the system was 65.95 minutes in the morning and 79.63 in the evening shifts. In scenario C, the mean time spent in the system was 73.90 minutes in the morning and 61.17 minutes in the evening shifts. The result of the final model showed that the average time spent in the system was 97.33 min in the morning and 86.85 min in the evening. According to the results obtained from the use of the definitive and simulated models, it was found that the simulation model, due to its probability, faces a percentage of error. Comparison of the definitive and simulated models revealed that the best scenario to the definitive answer was scenario B (increasing the mean time between the two logs).