جستجوی مقالات مرتبط با کلیدواژه "‏ زنجیره تامین ‏پایدار" در نشریات گروه "مدیریت"

Rapid changes in the economic, cultural, political and technological environment have led to the complex and competitive environment of industries. Also, sustainability in the supply chain is an influential part, which has drawn the attention of supply chain researchers and since the development of a sustainable supply chain requires the development of dynamic capabilities to achieve competitiveness, and competitiveness requires taking coordinated and effective decisions as well as taking integrated and effective actions at strategic and operational levels; therefore, in this research, we identify and examine the effect of operational and strategic dynamic capabilities in order to discuss competitiveness of the sustainable supply chain in the automotive industry.

From the point of view of the purpose of this research, it is an applied research. In terms of data type, it is qualitative-quantitative research (mixed-exploratory method). In the qualitative section, using the inductive qualitative content analysis approach, the data obtained from the semi-structured interview with 18 experts of this industry, who were selected non-probably and purposefully by the snowball method, were analyzed. Quantitatively, the data was analyzed through the implementation of a researcher-made questionnaire on a statistical sample with the method of structural equations based on the partial least-squares approach by means of Smart-PLS software.

The findings of the qualitative section divided the dynamic capabilities of the operational level into two categories of dynamic capabilities: "research and development" and "production" as well as strategic level dynamic capabilities were divided into three categories: "Marketing", "Planning and Support" and "Communications-Interactions" dynamics, in order to be competitive in the sustainable supply chain of the automotive industry, and in the quantitative part, the presented model, was validated.

Blockchain, as a secure and transparent technology, has gained significant importance in the supply chain industry in recent years. With increasing production and customer demand, creating a sustainable supply chain system using blockchain is of great importance. This research was conducted with the aim of identifying and prioritizing the success factors for implementing blockchain in sustainable supply chain in the packaging industry in Khuzestan.

In this study, the opinions of 10 experts in the packaging industry in Khuzestan who were aware of the research issues were used to perform the necessary validity for the research variables and also the best-worst method was used. In addition, in the model presentation section and in relation to exploratory and confirmatory factor analysis, 201 personnel from Khuzestan packaging industry (Ahvaz carton) answered the questions by simple random sampling method.

Among the main criteria, the "internal organizational performance" criterion with a weight of 0.456 was placed in the first priority. Furthermore, the results of the final prioritization showed that cost reduction was in the first priority, financial issues were in the second priority, and quick identification of products was in the third priority among the sub-criteria set.

In this research, the successful factors for implementing blockchain in sustainable supply chain were identified and prioritized. Considering the importance of blockchain in sustainable supply chain industry, identifying and prioritizing success factors can help companies and business owners in targeting and strategizing for blockchain implementation.

The main purpose of this article is to measure the efficiency of the multi-level sustainable supply network in Iran's transportation industry using a radial model in the envelopment analysis of network data with a double border and combining it with Malmquist index

The research method is based on operational research and presenting a new model based on the overlay analysis technique of network-oriented data. The desired model is built considering the unfavorable output indicators and the double border.

The findings showed that the presented model is able to evaluate the sustainable supply chain in the presence of favorable and unfavorable data. This model measures and evaluates three indicators of the sustainable supply chain of the industry including input, intermediate and final output sectors and by creating a double border. In addition, it evaluates this chain in the passenger sector of Iran's transportation industry and compared to similar models, it has an advantage in calculating the efficiency of the multi-level chain and combining it with Malmquist's efficiency index in optimistic and pessimistic states.

According to the obtained results, the efficiency of the transportation network of each province has been calculated according to the efficiency score in the desired years and the average period. Then, by combining the Malmquist index, the progress or regression of the transportation network's productivity has been investigated during a consecutive period of time. The results of this research can be used in the strategic planning of the transportation industry.

The main goal of this research is to design a causal model of factors affecting the Lars supply chain (lean, agile, resilient and sustainable). This research is applicative-developmental in terms of purpose. In line with the purpose of the research, firstly, each of the supply chain paradigms was examined using the theme analysis method of the research literature, and then, by using which; the dimensions of sustainable supply chain, resilient supply chain, agile supply chain, lean supply chain, and 16 indicators were also specified. Their differences were also identified. Dimtel method was used to determine the effectiveness of each of the indicators, and for this purpose, the Dimtel questionnaire was completed by professors and experts in this field, and finally, the relationships between the indicators were determined in the Cartesian coordinate system. The results of this stage showed that economic factors, agility, continuous improvement and flexibility are, respectively, the most influential, and on the other hand, supplier management is the most influential among the Lars supply chain indicators. Finally, in order to present a suitable conceptual model of the Lares supply chain, using the method of structural equations, the validity of the relationships of the model provided by 20 experts in this field was quantitatively evaluated.

In today's world, many decision-making problems are uncertain. The main source of these conditions is the lack and sometimes the absence of information for decision-making, which makes it one of the most challenging and at the same time the most important issues in supply chain management. Therefore, the present study aims to provide a Bi-objective mathematical model of a sustainable supply chain based on uncertain parameters, with a focus on minimizing costs and environmental pollutants. The proposed model can be an efficient tool for designing a sustainable and flexible supply chain network.

This research is descriptive-analytical. Furthermore, in terms of its objectives, it is considered an applied type of research. This study developed the Malvey scenario-based method, focusing on the parameters of the two-objective mathematical model, while considering shipping costs, demand, and capacity reduction due to disruptions as uncertainty parameters. In study utilized software tools GAMS, Excel, and Microsoft Visio for data analysis.

The results indicate that using the mathematical model based on the Malvey scenario in uncertain conditions in a sustainable supply chain can lead to achieving favorable and fruitful results. The mathematical model was able to effectively address demand uncertainty, shipping costs, and capacity reduction due to disruptions, although its performance decreased in scenarios with larger aggregates.

The purpose of this research was to identify and analyze the drivers of the smart sustainable circular supply chain. Twelve samples were selected by the snowball method from among industry experts in the edible oil sector. Drivers were finalized with expert opinions and analyzed using the DEMATEL and AISM methods. The results showed that organizational competence and human resource competence are the most effective drivers, while economic sustainability and environmental sustainability drivers have the highest levels of effectiveness compared to other drivers. According to the results of the research, officials in the edible oil industry should pay special attention to organizational competence to advance towards a sustainable and smart circular supply chain, as this driver has the greatest impact compared to others.

The main goal of this research is to identify the most effective and efficient factors of Lars supply chain. This research is applied-developmental in terms of purpose. Factors were extracted by super combination method. Lars supply chain has factors of sustainable supply chain, resilient supply chain, agile supply chain, lean supply chain and 16 different indicators (supplier management, supporting suppliers, multiple distribution channel, waste elimination, just-in-time production, logistics management, continuous improvement, flexibility, competence, speed, communication with customers, responsiveness, agility, economic, environmental and social). Dimtel's questionnaire was designed based on the factors and provided to 15 experts of Yazd tile and ceramic industries. Dimtel method was used to determine the influence of each index. For this purpose, the Dematel questionnaire was completed by professors and experts in this field, and finally, the relationships between indicators were determined in the Cartesian coordinate system. The results showed that economic factors, agility, continuous improvement and flexibility are the most influential, and on the other hand, supplier management is the most influential among the Lars supply chain indicators.

Uncertainty, the complexity of the business environment and the competitive environment reveal the need to pay attention to the increase of competitiveness in various industries, and sustainability in the supply chain as an influential part has attracted the attention of supply chain researchers and since dynamic capabilities provide a framework for gaining competitive advantage in the uncertain market and business environment; Therefore, in this research, the competitiveness model of the sustainable supply chain based on dynamic capabilities in the automotive industry was presented.

According to the purpose of this research, it is applied research and from the perspective of its nature and methodology, it is an exploratory study based on a case study, from the perspective of a tool for collecting field information using semi-structured interviews, and from the perspective of data type, it is a qualitative research. , which used the inductive qualitative content analysis approach to analyze the data obtained from interviews with 18 experts in this industry who were randomly and purposefully selected using the snowball method.

the conceptual model presented in the form of 29 concepts, 5 sub-categories (research and development, production, marketing, planning and communication), 2 main categories (strategic and operational) and one core category (the competitiveness of the sustainable supply chain based on dynamic capabilities in the automotive industry) were formed. This model helps the managers of the automotive industry to be ahead of other competitors in the field of competition.

The concept of sustainable supply chain behavior involves considering social, economic, and environmental issues in all organizational processes. These processes include the entire lifecycle of the supply chain, from raw material procurement to design, product development, storage, distribution, and delivery of the final product. In fact, supply chain sustainability is a business issue that affects the organization's supply chain and logistics network based on environmental factors, risk, and waste management. There has been a noticeable growth in the need for integrating environmental activities with organizational supply chain management. This study aimed to investigate the impact of environmental forces on sustainable supply chains, with the mediating role of supplier communications and organizational capacity in small and medium-sized companies in the industrial town of Toos in Mashhad. The results indicate that environmental forces have an effect on sustainable supply chains, but the direct relationship between supplier communications and organizational capacity is not confirmed, and these two variables have an indirect effect on sustainable supply chains through the mediating role between environmental forces and sustainable supply chains. Therefore, the main hypothesis regarding the relationship between environmental variables and sustainable supply chains is confirmed.

The purpose of this study is to design a model of key factors of sustainable value creation in the supply chains of Iran's oil and gas industry. This research is fundamental and in terms of method, it is combined (qualitative and quantitative). First, with a three-stage systematic review of the scientific documents, the content model was extracted from the mentioned documents with the qualitative approach of analyzing the content. Based on this, first by searching the reliable scientific databases, 1103 documents were identified, which were reduced to 62 documents during three times of screening based on the relevance of the title, abstract and full text review with a systematic review approach and considered as a qualitative sample. became The findings of the thematic content analysis were extracted after validity and reliability in 9 major themes and 50 sub-themes from among 850 observation items in the form of open codes and in several stages of review. In the quantitative part, the model of subjects obtained in the previous step has been organized in the form of a questionnaire and distributed among the specialists active in the field of oil and gas industry after checking the validity and reliability. After collecting the data, the qualitative model was evaluated and confirmed with the statistical approach of confirmatory factor analysis. The dimensions of the mentioned model are: quality of leadership, infrastructural, structural and organizational capabilities, evaluation and feedback, quality of communication, quality of resources, facilitators of knowledge management, awareness and social support.

The purpose of this research is to identify the financial benefits and costs of sustainable supply chain under conditions of uncertainty in manufacturing companies admitted to the Tehran Stock Exchange. In terms of practical purpose, in terms of exploratory nature, and in terms of data collection method, this research was conducted qualitatively and with meta-composite method. The statistical community was formed in the metacomposite approach, including the articles available in Emerald, ProQuest, Absco, Science Direct, Springer, Scopus, IranDoc, Iran Mag databases. In the qualitative part, through library studies and with a metacombination approach, the financial benefits and expenses of the sustainable supply chain were extracted and categorized under conditions of uncertainty, and the initial model was proposed. Concepts of order process management process capability, customer relationship management process capability, demand management process capability, capacity and resource management process capability, time to market, buyer credit, electronic platforms, supply chain coordination and collaboration to improve service performance, synchronization Financial decisions, innovative information sharing related to finance, supplier relationship management process capability, service performance management process capability, supply chain companies' partial interaction were named and classified in the category of "sustainable supply chain financial benefits". Concepts of inventory financing, product innovation, reverse factoring, cash flow incentive alignment, supply chain working capital, bank credit for supply chain financing, supplier integration, recycling management, supply chain disruption risk, supply chain transportation management, changes in The estimates and their basis were named and classified under the category of "Sustainable Supply Chain Financial Expenditure".

The purpose of this article is to identify the inhibiting factors in the implementation of green supply chain management in the construction industry. This research is practical from the point of view of the goal and qualitative from the point of view of the type of data and analysis method. The socio-statistics of the research were all domestic and foreign scientific sources and databases that were investigated in the research. The search period for research sources is between 1392 and 1402 for domestic research and 2013 to 2023 for foreign research. The meta composition approach and interpretive paradigm were used to identify the components, and the Kappa coefficient was used to verify the reliability of the extracted data. In this regard, based on the keywords of the research, 749 relevant internal and external sources were evaluated and screened, and finally, based on the entry and exit criteria, 31 sources were left in the research basket for review, which was done using the content analysis method in the coding process. Again, 42 primary codes were extracted, which were categorized in the form of 7 concepts and 2 categories and presented as a conceptual model. Based on the findings of the research, the concepts: cultural and social, government and regulatory institutions, market, networking and participation were identified in the category of external barriers and concepts: financial, interorganizational and technological in the category of internal barriers to the implementation of green supply chain management in the country's construction industry.

In recent years, there has been a growing global concern regarding the escalating production of waste. As countries continue to industrialize, the challenge of managing and disposing of waste properly has become a daily issue. Consequently, the fate of industrial goods and products has become a topic of significant interest to consumers. Waste management operations and network design in the automotive industry differ in certain aspects from those in other industries. This difference basically comes from the complex structure of the supply chain in the automotive industry. A large number of sectors are involved in the supply chain, which makes it difficult to control and manage the reverse network. In addition, the high customization in cars means that the parts or components are not the same, and for this reason, it is difficult to predict the recycling of parts or materials. Also, the world is currently confronted not only with the challenges of environmental preservation and sustainability but also with rapid technological advancements in digitization and automation.‎ This study aims to develop an industrial waste reverse supply chain network ‎mathematical model (Iranian automotive industry) using the vehicular ad hoc ‎network (VANET).

To maximize the economic benefits and minimize the environmental and social ‎impacts, a multi-objective (multicriteria) mixed integer programming (MOMIP) ‎facility location mathematical model was developed in the present study for a ‎sustainable supply chain. The economic goal includes aspects such as income and costs within the supply chain, the environmental goal focuses on factors like carbon emissions during transportation and operations, and the social goal encompasses various elements such as annual accident rates, the well-being of drivers, the residential locations of the workforce, and workforce recruitment and termination. Also, to calculate more accurately, the amount of carbon emissions based on the duration of transportation in the supply chain used vehicular ad hoc ‎network (VANET). Real data for the Iranian automotive industry and ‎GAMS were used for model solution.

The proposed multi-objective mathematical model was solved using the ‎enhanced epsilon constraint method in GAMS based on data obtained from the ‎Iranian automotive industry. The results demonstrate the model's validation accuracy and indicate that the proposed model exhibits strong efficiency, making it well-suited for the Iranian case study.

The results showed that the reverse supply chain is efficient over time by ‎considering the recycling of waste products at the same time as the economic, ‎environmental, and social dimensions, as well as taking into account VANET. The model could determine the centers of dismantling facility, processing facility, and recycling according to the objectives of selection and the flow of materials between the centers. ‎Sensitivity analysis also showed that changes to the parameter of culture ‎making to advertise used car sales have a significant effect on the objective ‎functions.

There is a growing concern about the social and environmental impact of the food supply chain, and the food industry faces numerous challenges. This has created significant pressure from various stakeholders to enhance the sustainable performance of the life cycle of perishable products. In this study, we aim to assess the sustainability of the supply chain for perishable products in the food industry. After examining both external and internal factors and identifying a research gap, the structure of the present study involves a four-stage supply chain. Input and output variables were selected based on perishable products and the three dimensions of sustainability. To achieve this goal, we conducted field and library studies to identify and extract relevant input, output, and intermediary indicators for evaluating the relative efficiency of supply chains in various sectors. Subsequently, we examined the supply chain's efficiency and ranked the efficient units. Given the primary focus on perishable materials, our study involved 18 dairy and meat factories in Fars province as the statistical population. We utilized WinQSB software to analyze network downtime and to model and solve the data. The results highlight that the most significant challenges faced by the companies are in the supply sector. Based on these findings, we provide recommendations for companies to enhance their performance.

Sustainable consumption and production patterns (SCP) play a crucially important role in the sustainable implementation of all economic activities. Therefore, this study specifically sought to develop a structural model to assess the driving forces involved in establishing a sustainable consumption and production pattern and to improve the sustainable aspects of the supply chain in tourism. To this end, first, fourteen consumption and production-related factors were selected and developed using the relevant literature and the experts’ views. Then, the collected data were analyzed using the Gray Relational Analysis, considering the fact that this model helps identify the causal relationships between the selected stimuli and assess the power of their mutual interactions. According to the study’s findings, ten influencing driving forces and four influenced ones were identified as the factors involved in establishing a sustainable consumption and production pattern in the tourism industry. Accordingly, the highly influential driving forces that readily affect other driving forces were identified as the "Government policies and regulations for developing an integrated system of sustainable consumption and production", "The managerial Support and involvement in implementing a sustainable consumption and production pattern", "Initiatives and advertising campaigns developed by various tourism enterprises for implementing a sustainable consumption and production pattern", and “Gaining market advantage and improving the overall performance in the industry". Identifying the causes and effects involved in implementing a sustainable consumption and production pattern in tourism’s supply chain, the findings of this study can help managers easily analyze relevant issues in this regard and thus enhance their overall performance by recognizing the cause and effect driving forces.

The purpose of this research is to design and model sustainable supply chain risk management through the agent-based approach in order to reduce risk and human resource productivity. In this research, the supply chain system is divided into sub-systems based on operations, manufacturing, sourcing and delivery, as well as based on the flow of materials, money and information. The whole system is created by entering customer demand and using Anylogic software. It runs for 18 weeks, 2 weeks of warm-up and 25 repetitions of the model. This research provides a comprehensive framework for managers and decision makers in a practical way. The agent-based approach was used to select the best scenario to reduce risk. In the current research, the field observation method was used to collect information in order to enter information in the simulation stage. After reviewing and categorizing the risks in the system, a simulation model is designed using Anylogic software to model the number of lost sales and determine the inventory level for the company. The results obtained from the examination of four scenarios indicate that the competition conditions are the main determinant of the design of the sustainable supply chain model and the procurement time in the scenarios did not lead to a change in the superior policy and only in most cases (except for the demand signal processing policy that the procurement time does not involve in decision-making) the design of the sustainable supply chain model has increased compared to the similar scenario.

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.

The supply chain management of an organization has a critical role in its success. In the past decades, competition between companies has transformed into the competition between their supply chains. Due to food safety and health concerns in today's society, livestock and poultry medicines are produced and distributed for prevention and treatment. The use of vaccines and timely access to appropriate drugs can reduce disease outbreaks and increase productivity in livestock and poultry industries. The key to success in this matter lies in having an effective and efficient pharmaceutical supply chain. A two-level supply chain of livestock and poultry medicine has been examined in this study. Also, three levels of decisions in the supply chain problem have been considered in this study. The strategic level involves location decisions; the tactical level involves inventory management; and the operational level involves routing. The possibility of drug expiration has been taken into account and sustainability has been also considered due to the drug disposal effects and transportation on the environment. The demand in this network has been assumed to be non-deterministic. Furthermore, quantitative and time-dependent discounts have been considered simultaneously to control the inventory by changing the customers' behaviour.Design/methodology/approach: Three dimensions of sustainability have been optimized by utilizing three objective functions, including minimization and maximization. The economic aspect of a sustainable supply chain is taken into account by minimizing costs. Holding cost, shortage cost, expiration cost, transportation cost, and fixed opening cost have been considered in this study. The focus of the social dimension has been on creating job opportunities and reducing life risks during transportation. Air pollution and greenhouse gas emissions have been considered as the third objective. Robust optimization has been applied to cope with uncertainty. Two meta-heuristic algorithms have been applied to solve the model which has been explained in detail in this paper. A robust counterpart of the multi-objective model presented in this paper was solved by epsilon constraint in CPLEX and by two metaheuristic algorithms, NSGA-II and PBMOSA in the larger size model. The Taguchi settings were applied to both algorithms, and each algorithm was run 20 times with its parameters adjusted to compare efficiency. After comparing 20 executions of the two algorithms using four criteria, it was found that the NSGA-II algorithm performed better. However, there was no significant difference in such an advantage. In addition, the results of the algorithms were compared under deterministic and non-deterministic conditions. In deterministic conditions, objective functions were better, as expected.Practical implications: In this research, a method was proposed to manufacturing companies to plan and make decisions such as distribution locations, appropriate discounts and determining the optimal route. Before this study, in the distribution chain company, only costs and profitability were considered, while according to the concerns of this company, sustainability issues were considered for the first time. Because in this research, location and routing were both considered, social and environmental issues were examined, which are directly related to the issues. Also, before this research, the uncertainty in demand was not considered, which imposed costs on the company. However, by considering the uncertainty, the profit and cost got closer to reality and made the research more practical.Social implications: Since in this paper, the social dimension of the sustainable supply chain was considered as a job opportunity and life risk issue, it seems that this research has a significant social impact.Originality/value: According to the literature, this research ensured the three levels of decision-making in the supply chain, i.e. strategic, tactical, and operational, in terms of location, inventory, and routing. Also, the uncertainty of the supply chain was taken into account, and the expiration of the medicine was considered. Both time-dependent and quantity discounts were considered in the model and all three dimensions of a sustainable supply chain were taken into account.

The purpose of this paper is to identify the enablers of Industry 4.0 supply chain sustainability and further attempt to propose a research framework to bridge the theoretical gaps. At first, the enablers that influence the adoption of sustainability capability were identified through the review of domestic and foreign articles using the meta-combination method. After identification, the enablers were compared through a questionnaire and provided to 12 experts in the field of tile manufacturing industries in Yazd province. Using the information obtained from the questionnaire and its analysis through the combined method of DEMATEL-Fuzzy Network Analysis Process, a model was ultimately presented. The research results of the meta-combination section identified 114 open codes, 26 central codes, and finally 7 selective codes. The selected codes include organizational, production system, environmental, product, economic, technological, and social factors, which were analyzed using the combined method of Fuzzy Dematel-ANP. The relations and importance of these enablers were examined, and It was determined that the "technology" dimension is the most influential, the "product" dimension is the most susceptible, and the "economic" dimension is the most important dimension.

Blockchain is an emerging technology that experts hope its implementation and integration with the supply chain could improve the transparency, safety, and accuracy of supply chain processes. Reviewing the related literature and consulting/interviewing with 12 relevant experts in the electronic payment services industry who have been selected through purposive judgment sampling, due to the immaturity of the issue of its application and its facilitation in achieving supply chain sustainability - especially in the services industries - this study tried to identify the main and secondary variables of sustainable supply chain performance which are mostly affected by the implementation of this technology, as well as the know-how of using blockchain in each aspect and its solutions. Finally, using the Fuzzy Delphi Method, the most important variables were prioritized based on the degree of this technology's impact on them. The results show that the greatest impact of blockchain implementation in the electronic payment supply chain is on cost, reliability in relationships and transactions, and accountability, respectively; other variables are in the next priorities.