نشریه مدیریت راهبردی در سیستم های صنعتی
پیاپی 63 (بهار 1402)

This research aims to provide an interactive model of factors affecting the success of the health, safety and environment management system in Pasargad Oil Company. The current research is developmental in terms of its purpose, and descriptive-analytical and modeling in terms of the research method. Using publicly available sources (149 people) and also experts' opinions (20 people), by using 2 types of questionnaires that were evaluated through the exploratory factor analysis of the correlation matrix, validity and reliability of the questionnaire and 24 factors in 4 areas of structure, individual-organizational, mechanical and Electrical has been identified. Then, using the DEMATEL and ISM method, the relationships between them and their ranking were determined, and the criteria were leveled using the ISM interpretive structural approach. Also, with the help of Dimethal-Fuzzy technique, the intensity of relationships, effectiveness and effectiveness of criteria were investigated. The findings of the research with the FDEMATEL approach showed that structural safety, electrical safety and mechanical energy saving are the most effective factors, and the presence of control measures, energy saving and attention to regional considerations are the least important factors. On the other hand, the findings of the research, using ISM approach, show that mechanical regional considerations and electrical welfare in the dependent group are factors that have low penetration power but strong dependence, and mechanical environmental protection factors, saving electrical energy and mechanical health in the future are factors They have strong influence but weak dependence.

This paper proposes an integrated approach of the earned value management and the risk management for predicting of project performance including cost and duration of estimate at completion. In spite of the abilities of earned value management technique in estimating the project future performance merely based on its past, it cannot consider the environmental change or other elements which effect on the future performance of the project. Unlike the earned value management, the risk management technique looks to the farther horizons and deals with the evaluation of the project performance by recognizing the failure modes. In this paper we intend to present the future performance index in combination with the earned value management current indices for better prediction of the projects’ future performance. These indices are determined under real-life and uncertain conditions using the fuzzy approach. In the end, the performance of the proposed method is evaluated by a numerical example. The results show that the consideration of the risk evaluation index improves the prediction of cost and time of projects' completion in the value management model.

In order to improve the level of logistics components in accordance with the industry 4.0, it is necessary to increase situation of logistics processes. To increase the level of logistics processes, the first step is to measure growth rate and evolution. To measure the evolution of the logistics system, processes and components of the logistics and evolution stages of them must determin. The purpose of this paper is to determine the level of the logistics system components based on industry 4.0 in Iran’s logistics centers. The research method is descriptive – applied. Samples includes two groups; the first group are ten logistics experts. Their knowledge has used for determining the processes and also the maturity level. The second group are 102 managers and decision makers in logistics centers, they provide information for the components validation and maturity assessment based on the present situation of components and logistics processes. Using the expert interviews, processes and components of logistics have been identified and classified into four processes and thirteen components. By mean of components status and the use of degree of adaptive method in Excel and SPSS software, the maturity of logistics has been measured. The results showed the transportation process is less developed because has more dependence on the external system and transport has not evolved in general. The process of information management has higher levels, because of less dependence on external systems. Based on the results recommendation for the large assembly industry and future researches are presented

Manufacturers 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.

Today in organizations, it is not enough to satisfy the customer or honor the superiors and focus on successful sales to maintain a competitive position in the market, and therefore, organizations must develop the necessary strategies to attract and maintain efficient and effective human resources. adopt Without having efficient human resources, the organization will not be able to transform, develop and excel and achieve the set goals. The way to achieve this is to develop the organization's management and leadership and create an effective structure for managing the employer brand. This research aims to evaluate the variables of the employer brand in the active companies of the industrial towns of East Azerbaijan province and evaluate the effectiveness of each of the components in these companies. The current research is of quantitative and qualitative type, first the variables were screened and verified by Delphi method, and then in the quantitative stage, using software JMP and the causal-comparative method, and using the factor effectiveness of the variables. The employer brand is done. results showed that the component of training to improve quality has the lowest factor contribution with a coefficient of determination (0.246) and the highest factor contribution is related to the use of participatory management with a value of (1.000). The highest correlation with other components is related to the indicator of training according to the needs of employees with a value of 0.880 and the lowest correlation is related to the use of participatory management with a value of 0.246.

One of the most important problems for distribution companies (especially large online stores) is the design of docking stations, vehicle routing, and supply chain optimization. In this research, the distribution centers of Digi kala online store have been located. A multi-objective location-routing problem has been developed by meta-heuristic methods considering the principle of stability and time constraints. Based on the results of the proposed model, the effect of demand on the three objectives of time, cost, and environmental and social issues was investigated and it was shown that if demand increases, there will be a greater effect on time. In other words, increasing demand can create gaps that result in increased delivery time, and therefore this can lead to customer dissatisfaction in the long run. Increasing employment also leads to better environmental issues, but has no effect on cost or time. Also, the cost of transporting goods has no effect on environmental issues and time, but leads to increased costs.

This research is of a qualitative type, in which managers with experience in the petrochemical industry were interviewed using the snowball sampling method, and the interviews continued until reaching theoretical saturation, which includes 23 interviews. The propositions of this research have been analyzed with the help of foundation data method and using MAXQDA software. Based on the results of the analysis of the information obtained from the experts participating in the research, the monitoring model of the influencing variables in the value creation of parent knowledge-based companies "at the industry level" contains 194 open codes, which are divided into 34 common propositions. Model propositions at this level are divided into 5 main concepts as follow: Competitors are 10 propositions (29%), customers and markets are 8 propositions (24%), suppliers are 4 propositions (11.5%), substitute products and goods are 4 propositions (11.5%), and science and technology are 8 propositions (24%). Therefore, the parent company of the petrochemical industry, as a huge knowledge-based organization in the country, can use this model to identify the influential variables (at the industry level) in order to create more value. Considering possible, probable and preferred futures, the parent company can analyze the obtained information to be taken into consideration by managers and experts for planning and making strategic decisions.

The aim of this research was to identify the predictors of human resource outsourcing in Iran's agricultural sector using a Meta-Synthesis Approach. The research method is developmental and mixed research (qualitative-quantitative) and based on the method of data collection, documentation and correlation.The research population in the first stage included all the research in the field of outsourcing from 2000 to 2020, and in the second stage, there were 750 managers and experts of the Agricultural Research and Training Organization. The sample size was obtained by simple random sampling method and according to Cochran's formula. The data collection tool was a researcher-made questionnaire, whose reliability was 0/93 through Cronbach's alpha Was obtained. After refining the articles, finally, 44 scientific articles that directly addressed the issue of human resources outsourcing entered the analysis stage in MAXQDA software. After the integration stage, 44 distinct codes were identified and among the identified codes, cost reduction strategy codes with 8 references, formulation of supplier selection criteria with 6 references, creation of internal organizational capacity with 4 references, organizational culture with 4 references, monitoring, evaluation suppliers with 4 references, knowledge management with 3 references, reforming the employment system, training and improving human resources with 3 references, re-engineering human resources processes with an emphasis on improving quality with 3 references, improving productivity with 3 references, networking (collaboration external organizations) with 3 references, upstream policies and documents with 2 references and senior management support with 1 reference respectively had the highest number of references in research texts.