نشریه مدیریت راهبردی در سیستم های صنعتی
پیاپی 62 (زمستان 1401)

In today's era, due to the competitive of the market, the concern of producers is to capture more of the market share, for this, customer satisfaction is a priority. By examining previous studies, quality, cost, and delivery time factors play an important role in customer satisfaction. Therefore, in order to achieve this goal, it can be very useful to provide a mathematical model to optimize the costs of the supply chain, taking into account the quality and time of the order. In this research, a comprehensive mathematical model has been presented, which includes costs related to the supply chain network, including: production costs, transportation, warranty, rework of defective products, storage of raw materials and products, scrap, as well as costs caused by the increase It minimizes the order time and quality costs. Games optimizer software was used to solve the proposed model. The results showed that with the increase in quality, the total costs and also the length of the order decreased. Also, for the purpose of validation, the proposed model was implemented in Bakhtar Cable Company for ACSR MINK product in 5 periods. The results obtained from the implementation of this model in the mentioned company showed that by using this model, the company's costs were reduced by 6.7%.

Supply chain sustainability is necessary for businesses today, so organizations pay attention to social and environmental goals in addition to economic goals. Therefore, to ensure the realization of these goals, measuring the sustainability efficiency of the supply chain is considered inevitable. The problem of assessing the performance of supply chain sustainability, on the one hand, is affected by the inherent conflicts of interest among sustainability goals, which increase the complexity of the problem, and on the other hand, it should be configured in a way that can simultaneously provide sufficient knowledge of the efficiency of overall supply chain sustainability and sustainability goals. In this study, a combined mathematical model of data envelopment analysis and game theory is presented to evaluate the sustainability efficiency of the supply chain and the efficiency of sustainability goals by considering the trade-offs among sustainability goals. The trade-offs among sustainability goals are formulated using the Nash bargaining game in such a way that the ability to provide simultaneous results is related to the overall efficiency of supply chain sustainability and the efficiency of each sustainability goal. The proposed model was evaluated under a case study for appraising the efficiency of supply chain sustainability of an Iranian pharmaceutical company. The results of the model implementation indicate that the proposed model is firstly capable of simultaneously providing efficiency values of supply chain sustainability and each sustainability goal, and secondly, it provides the necessary and sufficient knowledge in comparison of these values for efficient and inefficient products.

The multitude of projects and the complexity of making decisions about them, as well as planning and allocating the organization's limited resources to the selected projects, are the main challenges that many project-oriented organizations face. Considering all organizational aspects in obtaining projects is the most key point in the success of project-oriented organizations. For this reason, choosing a portfolio of projects in a way that can meet the goals and strategy of the organization, in addition to considering the organizational limitations, is very vital. For this reason, in this research, while emphasizing the implementation of the portfolio management process in organizations, a two-stage model is presented for evaluating and prioritizing projects to form an optimal portfolio. By examining the life cycle of projects, first, 12 influential indicators in the evaluation of projects are extracted with the help of previous research, and after the confirmation of 8 important indicators by experts, they are analyzed with the help of fuzzyDematel technique, and the weight of each indicator is determined. In the next step, the proposed projects are evaluated and prioritized using the fuzzy TOPSIS technique. Finally, taking into account the capabilities, assets and limitations of the organization, the optimal portfolio of projects is formed and approved by the decision makers. By implementing the above model in a construction company active in public and private projects, it was found that the analysis of relationships between indicators helps a lot to choose the optimal portfolio and prepares the ground for achieving the set goals.

In this study, the identification of the most important influencing factors for intelligent preventive maintenance and repair in the textile industry in interaction with manufacturing was performed using Spss 25 software. The research data set is based on the 2000 sample data and reports from the Director General of Textile Industry under the Ministry of Industry, Mine and Trade and the factories in the textile industry of Borujerd where the project was implemented on a semiannual basis as of 2015 to 2020.  This survey is significant in that it collects information in cooperation with specialists in the maintenance industry and the textile industry (information was collected from 240 establishments of 630 textile factories nationwide). The study sample size included professors, managers, and professionals from the textile industry. A comparison of the pre-test questionnaire (functional status) and the post-test questionnaire (ideal status) and statistical analysis calculations yielded the following results. The relationships between the study variables and the most important preventive maintenance and improvement factors in interaction with production in the textile industry have been classified as follows: strategy factor with the possibility of determining 34%, technology factor 30%, work environment factor 16%, staff factor 10%, the quality factor was identified by 10%.

Omni-channel is a cross-channel business model that companies use to increase and improve customer relationships. Companies that use Omni-channel believe that the customer's value is the ability to continuously contact the company in multiple ways at the same time (multiple communication channels at the same time and with the same information). In Omni-Channel, all customer behaviors are fully predicted and supported in all communication channels and contact points, so that if during the purchase process, the customer changes direction from one communication channel to another, there will be no impact or deficiency in the result of his purchase. In this research, we are investigating the cause-effect relationship of the criteria affecting the sales price in the Omni-Chanel distribution network using the DEMATEL method. Therefore, by using DEMETAL's method, the criteria affecting the causal relationships are carried out so that, in addition to the long-term planning process, it has the ability to deal with future uncertainties. The results showed that the most important effective factor in the pricing process in the safe distribution of the channel can be pointed to the product inventory factor. Also, the distribution capacity factor has a significant impact on the pricing in the Omni-Channel distribution system.

Considering the importance of the issue of efficiency in the advancement of societies and the place it occupies in today's organizations, the use of performance evaluation has become an unavoidable necessity. In the present study, the performance evaluation of five active supply chains with the same structure with the aim of comparing the results of the combined RDEA-BSC and FDEA-BSC models in Tabriz automotive industry and the input and output data in the form of symmetrical triangular fuzzy numbers and the set of uneven numbers to the input and output model The models show the performance of the supply chain. From the Balanced Scorecard (BSC) method as a tool for designing performance evaluation indicators in four aspects; financial, processes, customer and learning and human force growth have been used and also the type of applied-descriptive research and measurement tool is questionnaire, financial documents and information analysis method, FDEA, RDEA, BSC mathematical model and sensitivity analysis. The results of the research show that the efficiency of Amico in each model is higher than other studied companies

Today, effective leadership and improving organizational performance play a decisive role in the success and sustainability of businesses. The main purpose of this research is to evaluate and investigate the role of strategy and organizational climate in effective leadership and improving the performance of government organizations with the fuzzy AHP approach. To achieve this goal, data analysis has been used with the factor analysis approach and SmartPLS software, and then in the qualitative stage, by validating the data statistically and quantitatively. The statistical sample of this department, who completed factor analysis questionnaires, according to Cochran's formula, was 280 heads and experts who were randomly selected. Also, in the second part of examining the impact of variables, the fuzzy AHP approach has been used, and the questionnaire of this part has been completed by 14 experts using the theoretical method. In this research, organizational strategies and organizational climate have been investigated from different dimensions and relevant influencing factors have been identified, and these factors have been categorized and analyzed in 2 sections. It confirms the mediating role of organizational climate and strategy. Also, the statistical samples studied after holding 3 panels show the role and influence of strategy in effective leadership and improving the performance of government organizations far more than the organizational climate factor.

Due to the increasing number of competitors, organizations are increasingly looking for aperformance evaluation system that is effective and dynamic In addition to clarifying an organization's current situation, performance evaluation and management can be an organization's strategic plan that could also determine the organization's future. The purpose of this article is to provide a model for evaluating the performance management of oil and gas companies with a game theory approach. The present research is applied and descriptive research, and its branch of survey. The study population of this research includes all companies which act in the field of oil and gas. The statistical sample of this study consists of 280 people who were randomly selected. In the Recent study, multirariate statistical analysis software was used for analysis in to part: descriptive and inferential, mathematical modeling and shapley value. The results showed that paying attention to the customer's perspective will create the most desirability to achieve the vision, and penetration in new markets with a beta of 0.774 directly affects revenue growth.