فهرست مطالب محمد شریف زادگان

In this research, the model of institutionalization of social innovation was presented with an emphasis on competitive advantage in order to gain more market share in complex competitive conditions. Based on the purpose, explanatory and exploratory which tries to determine the pattern of institutionalization of social innovation with emphasis on competitive advantage using Delphi method and structural-interpretive modeling. According to the results of this research, it is of a developmental type and also in terms of collecting information, it is of a mixed type. The statistical population of this research is the experts in commercial companies of Khuzestan province and the sampling method is of the targeted type and with the approach of selecting and using the specialized and scientific approaches of the experts.In order to collect the required data, 8 criteria and 49 sub-criteria were identified by creating a Delphi panel of 18 experts in commercial companies in Khuzestan province based on previous studies.In the order of applying different methods of marketing, the first rank, the focus of social activities, the second rank, the change and modification of marketing approaches, the third rank, focusing on expert human resources, the fourth rank, social marketing, the fifth rank, marketing innovation, the sixth rank, drawing a vision and Creation of common value ranked 7th, networking and development of mental image ranked 8th and the last priority of social innovation institutionalization criteria with emphasis on competitive advantage was achieved.

It seems necessary to create flexibility in methods, processes, products and organizational decision-making in order to respond in time to discrete and continuous environmental changes. In this research, it examines the management relationship on marketing performance with the mediating role of innovation in the organization and the moderating role of environmental disturbance in Khuzestan Steel Company. Turbulence and extreme market fluctuations in attracting customers and competitiveness highlights the role of creativity in creating new ideas in organizations.

The statistical population of the research includes the managers of Khuzestan Steel Company in the number of 33 people who used the judgmental sampling method to collect data from a standard questionnaire and to test the hypotheses of the research using the structural equation method and pls software.

The results of the research show that managerial relationships have a positive and significant effect on organizational innovation, managerial relationships on marketing performance, and organizational innovation on marketing performance. Also, managerial relations through organizational innovation have affected marketing performance and environmental disturbance, the relationship between managerial relations and organizational innovations.

Originality/Value:

 despite resource limitations, management relationships helped to improve marketing performance in the company by creating appropriate platforms in providing support systems in empowering material and human resources to create new ideas in the conditions of turbulent markets and customer diversity.

In production and industrial systems, the integrated planning of production and operations is very important. Responding quickly to the needs of customers, diversity, reliability and cost of equipment and machines, due to the extensive limitations in production resources, competitiveness and gaining market share in conditions of uncertainty, there is a need to plan the units. be done in an integrated manner. In most of the production units, effective information is at an unfavorable level of coordination and exchange with other activities. The result of such activities is nothing but a waste of resources and the emergence of an insular culture in the organization. Therefore, in this research, a MIP mathematical model was modeled in line with the planning of production, maintenance in Maron Company. The objectives of the proposed model are to minimize production costs and maintenance costs with limited production resources. dependents such as maintenance) was used by the innovative method of genetics. The results of the modeling evaluation showed that the detailed and ultra-innovative solution provided has improved the company's production by more than 7%.

The need for integration has long been the focus of researchers and industry managers. Therefore, some researchers sought to coordinate and integrate production, maintenance and repair. The issues of integrating production planning, maintenance and repair and quality control with other parts of production and industrial systems reduce costs and increase the profitability of production organizations. Accordingly, in this research, integration and continuity in simultaneous planning of production areas and support in production organizations have been discussed. These areas include the schedule of production, maintenance and preventive maintenance, and human resources. Therefore, the mathematical optimization model is presented with the aim of manpower planning and increasing the volume of the company's production by considering the limitations of human resources. In this model, personnel skills, equipment usage rate and equipment failure rate in case of uncertainty with fuzzy method are used in the model parameters. The purpose of the proposed model is to minimize the labor force deficit over production efficiency. The results obtained from the implementation in a production organization by comparing the indefinite and meta-innovative solution show the improvement in the company's production with the least reasonable time, provide answers with the least possible error. Sensitivity analysis shows that the rate of equipment failure in the intervals before and after the preventive maintenance process has a great impact on the value of the objective function of the mathematical model.

The complex conditions prevailing in the industries and the increasing costs of production equipment and machinery and competitiveness in gaining market share, show the role and importance of production planning and maintenance with other parts of the industry. Integrating such decisions can take fundamental steps to reduce costs and increase quality. Maintaining and creating the continuity of production activities depends on accurate and correct planning of production, maintenance activities and how to support these processes. The need for integration and coherence in the simultaneous planning of such activities causes a lack of rework and parallel work and obstacles and delays and inconsistencies at different levels of production.

In this research, a two-objective mathematical model of production planning and repairs with limited resources is presented in conditions of uncertainty.

The results of comparing accurate and meta-innovative solutions show the improvement in the company's products and the optimal use of material and human resources. Sensitivity analysis also shows that the failure rate of the machine before and after preventive maintenance has a great impact on the value of the objective function of the mathematical model. The results show that the average error of the ant algorithm is only 3%. This is while the average solving time in GAMZ is 45,000 seconds, while the average solving time of the ant algorithm is about 354 seconds.

This shows that the ant algorithm has a very small amount of error with much less time and therefore the efficiency of this solution method can be well explained.

In today's competitive environment, production productivity is a very important and key issue. However, all department of the production unit are interdependent. Rapid response to customer needs, diversity, reliability and cost of equipment and machinery due to the widespread limitations in production resources to be competitive and gain market share in conditions of uncertainty, is needed to make management decisions from Use an integrated format that incorporates important elements. Accordingly, in this study, the integration of three important areas in manufacturing companies has been addressed. These areas include production planning, maintenance, and manpower planning. In this way, a mathematical model with the aim of optimal use of labor and increasing production volume is presented. In this model of workers' experience, machine utilization rate and machine failure rate are expressed uncertainly and with fuzzy numbers. To solveing this model, the ants meta-innovation algorithm has been used. Numerical results obtained from the implementation in an industrial company show that the algorithm used can provide answers with the least possible error in a reasonable time. Sensitivity analysis also shows that the failure rate of the machine before and after repairs and maintenance has a great impact on the value of the objective function of the mathematical model.