نازنین پیله وری

The automotive industry, as a job-creating and infrastructure industry, needs an executive model for success in the domestic and international markets. In this regard, the present study has been conducted with the aim of designing a model for implementing the fourth generation industry to achieve sustainable development goals in Iran Khodro Company. The study is an applied-developmental study in terms of purpose and cross-sectional survey research. Also, in this study, a mixed research method (qualitative-quantitative) was used. Content analysis method and MaxQDA software were used for data analysis in the qualitative section. Then, using Interpretive Structural Modeling (ISM) with MICMAC software, the initial pattern was drawn. In the quantitative section, one-sample t-test and SPSS software were used to measure the current situation. The research findings showed that the Collection and Analysis of Big Data affects the Simulation and Automatic Robots. These factors affect horizontally and vertically integration systems and thus lead to the Internet of Industrial Things, Augmented Reality and Cyber Security. Further, through the Cloud Computing system, Additive Manufacturing is affected and this Additive Manufacturing leads to Sustainable Development.

To improve the operation level of the companies tailored to industry 4.0 it is necessary to develop logistics system. In order to develop the logistics level, the first step is to measure the growth and evolution of all logistics process. For measuring the evolution and growth of the logistics system (LS), the processes and components of the logistics system and then the evolution level should be determined, at the end their level of evolution should be measured for each firms. The purpose of this paper is to determine the evolution level of the LS in the large industries of Iran. The research method is descriptive - applied and Data were gathered in two steps. First utilizing interviews with logistics experts for identifying the logistics process and components. Second step was data collection by check list in local visits and direct observation in firms. Checklist was completed in group sessions with the help of managers and experts in each firm. Using the mean of the logistics components and degree of adoptive (DOA) technique, evolution of LS was measured in industries. Results shown that firms with heavy products have little progress in the evolution of logistics compared to other firms and also the firms that have automatic production system will growth in logistic evolution better than others especially in intra-logistics and material handling. The method and result of this paper can be seen as a roadmap for managers and organizations and they will plan development and evolution of logistics processes.

INTRODUCTION: Crisis management maintains security, stability, and flexibility in society by integrating different social resources with appropriate decisions and strengthening the ability of the community to recover from the negative impacts. Therefore, the present study aimed to conduct a model analysis of effective factors in implementing crisis management policies. METHODS: The present study is a descriptive survey research with a mixed methods design. A total of 18 experts were non-randomly and purposefully selected for the qualitative section based on expertise and availability. In addition, 248 individuals were selected from managers and experts (658 people) of the National Disaster Management Organization of Iran and partner organizations for the quantitative section based on Krejcie and Morgan Table using Cochran's formula and simple random sampling. The research instrument was a researcher-made questionnaire including 33 factors affecting the implementation of crisis management policy, the content validity of which was confirmed by professors, and its reliability by Cronbach's alpha test (α = 0.89). Data were analyzed using SPSS and AMOS software and the AHP method was used to prioritize the factors. FINDINGS: Findings indicated that 33 components in the form of structural, organizational, environmental, and management factors, as well as financial and human resources, uniform practices, communication, information, and inter-organizational coordination, regulations, and policy implementers successfully affect the implementation of crisis management policies. Structural, organizational, and environmental factors significantly affect the implementation of policies. CONCLUSION: Defining the responsibilities of partner organizations as well as developing transparency and designing specific goals contribute to the successful implementation of crisis management policies.

Today, management requires a new approach in the areas of production planning and operations process with a cost management approach. Organizations and industrial units to lead their lives, by recognizing the impact points of the challenges ahead and positive impact, guide and lead them to advance the goals of the organization. Economic dispatching with particle swarm optimization algorithm approach is an approach in the field of industrial units. Dispatching tries to determine the share of production capacity in a way that optimizes the overall performance of the system economically and improve system performance, including: production and process planning, supply and demand balance, cost management, productivity growth, optimal allocation of resources according to the capacity of tanks, formulation of production and operational strategies, the impact on the strategic vision document. In this research, an attempt has been made to perform economic dispatching with the approach of particle swarm optimization algorithm with hypothetical information to measure the feasibility of implementation and its impact on the overall performance of the system and production process and operations.