نشریه مدیریت راهبردی در سیستم های صنعتی
پیاپی 58 (زمستان 1400)

In a proper and efficient supply chain, organizations must first identify appropriate and high quality suppliers, then by establishing long-term relationships and partnerships with selected suppliers, seek to acquire and increase the competitive capabilities of the organization. The selection of suppliers is based on the characteristics that make the supply chain resilient. If suppliers do not have the right resilience, in today's competitive market, businesses will not only be doomed, but the whole system will be in trouble.Therefore, in this paper, supplier selection in the resilient supply chain is discussed. First, the resilience indicators of the pharmaceutical supply chain are identified through a questionnaire from several experts in the pharmaceutical industry, then the relationships between the indicators will be identified using the fuzzy dematel method, and using fuzzy ANP method, the weight of the factors is calculated and its importance is determined. According to the results, Chinese, Korean and Turkish suppliers have higher weight than other suppliers and in terms of the criteria desired by the company, they are in the top priority.

The aim of this study was to make the supply chain smarter with the IoT approach in companies active in the field of information and communication technology in Tehran province.

The present study is part of applied research according to the goals it pursues and is a descriptive and exploratory research in terms of the work process. The statistical population is experts familiar with the subject of research (managers, experts and professors). They were interviewed by non-random and purposeful method until theoretical saturation. The statistical sample was determined by snowball method. In this study, two open-ended and researcher-made questionnaires were collected to collect the data needed to measure And measurements of the studied variables have been used. How to score the second questionnaire is designed based on the Likert 5-choice range. Experts' opinions were used to check the validity and the reliability was calculated with Cronbach's alpha and was equal to 0.79, which indicates the appropriate reliability of the instrument. Swat and system dynamics modeling were used to analyze the data. All analyzes were performed with Venism software.

The results showed that through modeling and simulation of factors affecting supply chain management and according to the factors, the effect of these factors on each other and how they relate is shown that two scenarios were developed that pay attention to time efficiency. Long-term can make supply chain management more efficient.

Policymakers and strategic planners around the world, especially in Europe and the United States, have noted that enhancing entrepreneurial capacity is essential to achieving higher levels of economic growth and innovation. It is believed that an entrepreneurial culture based on knowledge, practice and innovation may deal with the problems caused by the current global economic crisis. In fact, it can be said that a developing country like ours constantly needs to upgrade its entrepreneurial capacity to help its economic growth and development. The aim of this study was to evaluate the entrepreneurial capacities of the strategic plan of Islamic Azad University, Sanandaj Branch with Delphi fuzzy approach.

This research is applied in terms of purpose and analytical-survey-Delphi in terms of data collection. To evaluate the entrepreneurial capacities of the strategic plan of the Islamic Azad University of Sanandaj, the Delphi technique consisting of 18 experts in the field of entrepreneurship management and strategic management of the Islamic Azad University of Sanandaj was used.

The results of fuzzy Delphi research showed that the degree of acceptance of all hypotheses is between 0.5-0. Therefore, it can be said that they do not have the necessary utility. In other words, the degree of reliability of all dimensions is less than 0.5, so the nullity-based hypotheses of utility are rejected because the dimensionality hypothesis is in a state of weak possibility for acceptance.

Much has been written about various approaches which pay attention to supply chain from specific angles. One of the new approaches is an integration of Lean, Agile, Resilient, and Green (LARG) that benefiting from the advantages of different approaches and avoiding their disadvantages. This study aims to present a model for analyzing LARG supply chain using Axiomatic Design (AD) and Sustainable Balanced Scorecard (SBSC) in a Hesitant Fuzzy (HF) environment in automaker industry. The study process consisted of two stages: designing stage and evaluating stage. In the first stage, the Functional Requirements (FR) and chain Design Parameters (DP) identified in the LARG supply chain based on the Delphi technique and literature review. In the second stage an integration of information axiom, the Best-Worst Method (BWM), SBSC and hesitant fuzzy logic was used to analyze supply chain in Iran automaker industry. The results showed all 21 indicators are met in both independence and information axioms. Among LARG supply chain criteria, customer requirements, and timely delivery of the car to the customer is the most important and the use of multi-purpose labor and up-to-date machinery is the least important. Among sustainable balanced scorecard perspectives, growth and learning perspectives are the most important and internal processes perspective is the least important. The model with integrating LARG supply chain using AD and SBSC in a hesitant fuzzy environment has caused the designed model to have many capabilities compared to the existing models.

In recent years, meta-heuristic algorithms and their application in solving complicated, nonlinear and NP-hard problems have dramatically increased, while new algorithms have constantly being introduced. In this research, with the aim of ranking meta-heuristic algorithms, using group decision making techniques (different from other research in this field), 5 algorithms including: GA, PSO, ABC, SFLA and ICA by 15 standard test functions, and considering 2 attribute: "mean of answers" and "run time", have been compared. Then they are ranked by 3 group decision making methods including: "Cook and Seiford", "Condorcet" and "Dodgson". In addition, as in ranking by "Condorcet" and "Dodgson" methods, sometimes some options posit the same rank, therefore, in this study; we presented a proposal to overcome the limitation. Then the algorithms with these proposed methods were ranked. Finally, the overall ranking is done using an allocation model our results show that the overall ranking is as follows, respectively: PSO, ICA, GA, ABC and SFLA.

This study examines the cost, customer satisfaction and environmental protection to design a multi-objective optimization model using system dynamics and to provide a system dynamics model for multi-objective production-inventory-routing in the green supply chain under uncertainty. Considers.By customer demand for several periods, the model can make decisions by focusing on decisions such as the choice of supplier and retailer according to the distance between them, production models and the nascent level of transportation technology. For this purpose, to collect information, first using previous studies, the variables affecting the model (20 variables) were determined, then according to the experts, these variables were analyzed, then the relationships between the selected variables using the model. Cause and effect were identified and then the research modeling was completed by designing a system dynamics model and evaluating it through tests defined by execution in vensim software. Finally, three scenarios were developed to determine the strategies affecting the model. The results indicate the most effective strategies in achieving the desired situation, maximum customer satisfaction, minimum cost and inventory and maximum production with proper implementation of ongoing projects in the direction of green production using appropriate technical knowledge.

The country's aviation industry, consisting of aero manufacturing and support companies, is known as the main hub for the maintenance and construction of airfields. Companies that operate and maintain aircraft within the country had no problem with the maintenance and repair of airplanes flying inland and could solve the technical problems of aircrafts with the facilities at their disposal, But after imposing cruel US and Western sanctions, these companies faced problems with supplying the parts and equipment needed to repair the aircraft, which must be acknowledged to be a major problem. Restrictions on access to booklets and technical back-up documents also exacerbated this important issue. Given that the country's air fleet can be one of the most strategic pillars of the country in the fields of transportation, defense, etc., then a solution must be found to solve this problem. In this research, we have tried to present a roadmap for achieving this goal by interpreting the problem and modeling it through a soft systems approach, using an interpretive structuring approach, so that the country's aviation industry can at this point in time. That should lead to self-sufficiency and guidance.

Landing earlier or later than the specified time will cost each flight, and existing techniques do not measure time factors, so the cost of delay penalties is very high, while there are many techniques. In order to reduce this fine, in this article, the ALP problem is investigated and then, with the help of an optimization function, a model to increase efficiency is presented. In general, the problem of sequencing tasks to determine the order of their execution on machines to reduce ( Or increase) is the criterion in question in optimizing the order of entry operations, both in regulations and in scientific journals. In the early stages of the air traffic sequence, feature-based inbound management and navigation are used to expand the design horizons and make it possible to study traffic in both take-off and landing positions. The aircraft landing sequence is centralized by examining parameters such as reducing apron and parking costs, minimizing latency and early arrival times, and minimizing fuel consumption costs. Finally, this paper intends to obtain a new way to improve the quality of scheduling programs and reduce their execution time by using theoretically validated algorithms and adapting them to the challenges of scheduling. Experimental experiments were performed on the data set of Mashhad Shahid Hasheminejad International Airport and showed that the main scheduling objectives can be better achieved with this method.

Performance evaluation in data envelopment analysis is obtained by using technical efficiency calculation. But what is not taken into account in this type of calculation is the price of model inputs. In calculating technical efficiency, the amount of output to the input is maximized, and the model can be used to identify efficient decision-making units, while it is possible to determine the decision-making unit that is at the efficiency limit and a reference for other units. Decision-making systems are efficient at a high cost, and it is possible to find decision-making units that are on the verge of efficiency at a lower production cost. Cost Efficiency seeks to find points that are on the edge of efficiency at the lowest cost. Given the importance of cost efficiency and the lack of attention to this concept in network and multi-stage structures, this study investigates cost efficiency in a purely two-stage process. In the present study, using the concept of game theory and data envelopment analysis in a centralized and decentralized state, we evaluate the performance of purely two-stage processes. In order to investigate the validity and efficiency of the models and their applicability, a case study has been used in the Iranian electricity industry and some management results are discussed.

In the Milkran logistics system, vehicles are sent to collect orders from suppliers and deliver them to ‎assembly lines, according to pre-planned routes. In this way, the vehicle goes to the location of ‎several suppliers to pick up orders and then is sent to one or more destinations for delivery. In this ‎logistics system, cargoes are aggregated within the vehicle and through various nodes in the logistics ‎network. This paper introduces a mixed integer linear programming model for the Milkran logistics ‎problem that takes into account considerations such as three-dimensional loading of the order ‎pallets into vehicles, 50% higher cost for returning empty pallets, order timewindows, and ‎heterogeneous fleets. Given the nature of the problem, an algorithm based on grouping evolutionary ‎strategy is introduced that uses heuristic methods to ensure vehicles’ loading and routing feasibility. ‎The effectiveness of the introduced mathematical model and meta-heuristic algorithm is measured ‎using data collected from Saipa Automotive Group. The computational results show that Milkran ‎Logistics has the ability to reduce costs by 24.5% (on average), compared to the direct shipping ‎strategy pursued by Saipa.‎

One of the reforms that has been considered in recent years regarding financial decisions in the payment of long-term liabilities is the balance of financial resources mechanism. When demographic risks, such as labor shortages and economic risks, such as financial deficits due to the functioning of financial markets and past rules and regulations, exist, financial decisions are made to maintain the liquidity and stability of the system in the long run. Long-term liabilities in payment to pension fund members require regular advice and calculations in different financial periods in order to balance and maintain the intergenerational reserves of the fund. The present study compares the parametric models effective in financial decisions to finance the long-term obligations of the Social Security Organization using actuarial knowledge in order to achieve the research objectives by changing the basic parameters and their impact on the organization's resources using knowledge. Actuaries and related computing software such as ILO-PENS We have estimated and then estimated their impact on the sustainability of the organization's resources over a period of 70 years for financial decision According to the results, if any of the above parametric corrections are applied to the series of resources of the Social Security Organization, respectively, up to years,2035,2036,2037 It is postponed and the necessary resources are provided to pay your long-term obligations. In this short break, there is ample opportunity to decide how to make structural reforms.