نشریه مدیریت راهبردی در سیستم های صنعتی
پیاپی 60 (تابستان 1401)

The production of medical equipment, while playing a key role in meeting the needs of the health system, has significant economic and technological potential for growth and development.The main purpose of this research is to identify the effective factors in the level of technology capabilities of medical equipment in the country. The present research has been conducted in terms of applied purpose and in terms of exploratory implementation, In the style of a library, documentary and survey between 15 persons, it by internal specialists and experts in the field of medical equipment of the country, after reviewing the research literature, 22 effective indicators were extracted by experts to evaluate the level of technology capabilities of the country's medical equipment.Then fuzzy Delphi method was used to identify and select decision variables that 5 indicators of creativity and innovation, technology development, engineering, manufacturing and production and competitiveness to assess the level of medical equipment technology capabilities of the country were identified, respectively. The results of this study show that creativity and innovation and technology development are the most important factors in the level of technology capabilities of medical equipment in the country.
Then the fuzzy Delphi method was used to identify and select decision variables. The results show that 5 factors of creativity and innovation, technology development, design and engineering, manufacturing and competitiveness to evaluate the level of capabilities of medical equipment technology, as the most important factors, were identified at the level of medical equipment technology capabilities.

Senior managers of organizations are always looking for a solution to ensure the selection and implementation of more appropriate strategies, among which the Sustainable Balanced Scorecard (SBSC) is a comprehensive performance control with a set of financial sets. And non-financial, it provides a comprehensive view of performance, such as the environment and social responsibility. The aim is to use a combination of models to identify key influential indicators and performance affectivity to evaluate detergents in stable balanced scorecard scores according to a set of indicators and determine the dependencies between them, by a group of decision-makers. Data analysis and analysis using integrated techniques to determine the degree of preference of functional components over each other, including the new approach of stable balanced scorecard and due to the multifaceted relationship between options and indicators of multi-criteria decision-making methods (DANP) are used. The advantage of this approach is the attention to the relatively complex interdependence of factors affecting performance. For the main dimensions and criteria for evaluating the sustainable performance of the studied industry, it was found that environmental and social factors are the most influential and the factors of internal and economic processes are the most influential, as well as economic criteria (0.239), internal processes (0.21), social (0.188), learning growth (0.183), and environmental (0.178) are important in the strategies of this industry, respectively.

The purpose of this study is to identify the effective dimensions and components in designing a model of occupational safety and health management system for Iranian government organizations..This research is applied research and it is among the applications of developmental research. The statistical population of this study consists of two groups. The first group consisted of 30 experts and the second group consisted of all employees of governmental organizations in Kerman province with 77528 persons that the sample size in this area was determined using Cochran formula of 384 individuals. The research instrument is a researcher-made questionnaire whose validity has been approved by experts and its reliability has been confirmed as such reliability of elements of organization space 0.994, management and leadership 0.738, planning and organization 0.779, deployment and implementation 0.971, evaluation 0.785 and the revision and improvement is 0.939. Data were analyzed using SPSS software and Smart Pls.The above-mentioned research model also shows that all elements include organizational space, management and leadership, planning and organizing, deployment and implementation, evaluation and revision, and action to improve have a significant impact on occupational safety and health management system and all components except integration have significant impact on deployment and implementation elements.Comprehensibly, this model can be used as a tool for empowering managers with the knowledge of the occupational health and safety management system and its deployment in government agencies.

Due to increasing environmental regulations and restrictions, and increasing social awareness, in order to meet sustainable development goals, government oversight of environmental and social issues in organizations has become stricter. Therefore the aim of this study is criteria identification and sustainable iron ore supplier ranking of Isfahan Steel Company using a new multi-criteria decision-making method, named MARCOS. This research is applicative which performed by qualitative- quantitative method. The statistical population of this study was the raw material purchasing experts, which ten experts were selected by purposive sampling. In the qualitative part, the criteria were identified by thematic analysis. Then, AHP method has been used to calculate the weight of criteria and finally, using MARCOS method, ranking and evaluation of seven major suppliers of iron ore with emphasis on sustainability principles has been done by MATLAB 2019a software. Based on the results, fifteen criteria have been identified in three sectors: economic, social and environmental, which after calculating the weight of the criteria, quality, delivery, and social responsibility, and reliability, adherence to laws, pollution control and distance were more important. It should be noted that the criteria identified in this study were in good agreement with available literatures. Also, the results obtained from MARCOS method were consistent with the results of TOPSIS, COPRAS, VIKOR and SAW methods.

One of the most costly logistics activities is the picking process in the warehouse. Considering the internal logistics aspects, due to the limitations and resources available in order to reduce costs by increasing the level of capability, the supply systems of materials and components will be achieved along the line. Considering the effect of the completion time of pick operations on the start time of distribution operations and the cost of order preparation tardiness, the present study aimed to investigate a new issue related to the integrated process of order preparation in the warehouse and delivery on time to minimize cost according to the data of a car companys. In this regard, an integer nonlinear programming model is proposed to minimize the costs caused by tardiness. In order to validate the model, the small problem is solved in exact way. To solve the model, since the problem is NP-Hard, the method of whale optimization algorithm was used and to improve the optimal routing solutions, the problem was investigated by designing an adaptive whale algorithm considering the cost and time of visiting workstations as a fitting function. Also, to assess the proposed adaptive whale algorithm, the results were compared with two meta-heuristic algorithms of particle swarm optimization and gray wolf. The results show that the proposed adaptive wall algorithm performs better than other methods, which improves and reduces costs.

The supply chain disruptions have caused hundreds of drug shortages since 2011, when a disruption occurs because the supply chain needs to be limited in terms of ability to adapt, so the supply chain needs to provide medicine to the amount and at the right time and acceptable quality, but any risk in the supply chain can not only waste resources but also threaten the lives of patients. In such situations, the perceived notion of an organization reflects the organization's ability to face unpredictable situations and if the organization can identify the supplier with suitable stakeholders. The organization has more resistance to disorders. so, in this paper, supplier selection in the  supply chain was introduced, first using library analysis and delphi method, the   factors were identified, and in the end, the mathematical model for optimal allocation of order to suppliers has been identified and then the mathematical model for the optimal allocation of order to suppliers has been developed, and the supply chain transparency is increased to increase managers ' knowledge to understand the necessary changes.

Competition in product identification and distribution has largely limited the automotive oil industry to short-term strategies. Location models have been welcomed by industry owners, engineers and researchers in the relevant fields due to their obvious impact and great importance in reducing costs in the field of establishment and operation of production and distribution facilities. On the other hand, in terms of geographical coverage capacity in the field of distribution of these products, which covers the whole country, so far little research has been done on the degree of penetration of each product. The problem of locating maximum coverage to meet the total demand of customers and responding to the maximum satisfaction of customer demand using the existing facilities leads to an increase in benefits and ultimate profit. Due to this issue, in this study, we used the location-maximum coverage (MCLP) problem for a wider distribution of car oil in the geographical area of ​​Iran. Therefore, in order to solve the problem of maximum location-coverage, multi-criteria decision making (MODM) has been used by considering quantitative and qualitative indicators as evaluation criteria. Network Analysis Process (ANP) is a relatively efficient way to use the interrelationships of indicators systematically. In this regard, the test and decision evaluation method (DEMATEL) has been used to convert cause and effect relationships between indicators and identify internal dependencies within the set of indicators. Finally, according to the real data, priority agencies have been determined in the provinces.

Diversification and structural changes in economies play an important role in the development process of countries. However, the importance of diversity in the manufacture and export of pharmaceutical products has doubled in the last two years due to the direct link between human health and COVID-19 pandemics. One of the practical approaches in this field is the theory of new structuralists, with which it is possible to identify revealed and implied comparative advantages and propose practical solutions to achieve economic diversification. Using product space theory, network science, and countries' export data (2014-2018- five years’ period), it was found that out of 29 pharmaceutical product codes based on six-digit HS codes, Iran has a revealed comparative advantage in export of 4 products, 7 out of 29 product codes have implied comparative advantage and the remaining 18 product codes have no activation potential or zero advantage for export. Based on the combined strategy of the Borda and Copeland methods, the priority of 7 products with implied comparative advantage was determined and the leading countries of each product were determined so that Iran can follow these countries.

The aim of this study was to identify the categories affecting the green marketing of organic products and to investigate the relationship between these categories using the strategy of fundamental conceptualization theory; Since the scientific research conducted in this field was either not feasible or had shortcomings, the decision was made to conduct research in this field. The methodology considered in this research is data-based method; The statistical population consists of 10 experts who were purposefully selected. Also in the second step and library studies, texts with the keywords environment, green management and green marketing were examined and first data analysis was performed using the data-based method. And the categories were identified and then using snowball sampling and surveys of 15 experts, in order to confirm the reliability and validity of the research and validation of the results, their opinions were used. Data analysis and category identification were performed in three stages of open, centralized and selective coding, based on which in response to the main question: "What are the categories affecting the green marketing of organic products?" The categories of the research included statistics and results including: 172 identifiers, 47 concepts, and 26 categories of research results. The 26 categories were identified during a completely two-way communication around the main category, namely green marketing of organic products Became.

Time-cost-quality trade-off project scheduling problem is one of the most important and practical problems in project management discipline. Project Managers interest in making decisions to accomplish the project with minimum cost, minimum time, and maximum quality. Unfortunately, in real life problems, the estimation of time, cost, and quality may be mixed with uncertainty. These parameters may be far from their estimated values. So, considering uncertain parameters in time-cost-quality project scheduling is essential. In this paper, a probabilistic version of time-cost-quality trade –off problem is proposed. Some parameters of the proposed model are assumed to be probabilistic. The probabilistic nature of the proposed model is handled using stochastic chance constraint programming. The multi-objective nature of the problem is handled using goal programming. Finally, the stochastic chance constraint goal programming is proposed. The deterministic equivalence of proposed stochastic model is presented. A numerical example is analyzed using GAMS software and results are investigated.