supply chain management
hossein karimi; MohhamadJavad Jamshidi; Milad Bakhsham
Abstract
This research aims to identify key components and indicators for managing green supply chains utilizing the Internet of Things (IoT). The methodology employed is a mixed approach consisting of two stages. First, through qualitative content analysis, this study reviews theoretical foundations and previous ...
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This research aims to identify key components and indicators for managing green supply chains utilizing the Internet of Things (IoT). The methodology employed is a mixed approach consisting of two stages. First, through qualitative content analysis, this study reviews theoretical foundations and previous research to identify indicators associated with drivers for green supply chain management based on IoT. Subsequently, these indicators were presented to 22 experts in management and information technology to validate and verify them. The research findings reveal that the IoT-based green supply chain model encompasses nine components and 66 indicators. These components include intelligent supply chain management, real-time monitoring of object statuses in the supply chain, intelligent object transfer along the supply chain, intelligent object location in the supply chain, information transparency within the supply chain, corruption reduction, intelligent quality management within the supply chain, intelligent sourcing in the supply chain, intelligent distribution management, and intelligent inventory management. The comprehensive drivers in the proposed model emphasize the importance of incorporating IoT in supply chain management to enhance overall supply chain performance while addressing environmental concerns.IntroductionAs technology continues to advance rapidly across various industries, mankind has enjoyed an improved quality of life. However, the environmental toll of recent decades, such as global warming, water scarcity, polar ice melting, habitat destruction, and deforestation, has raised significant environmental concerns. Modern human activities have contributed to these environmental issues. Consequently, there is mounting pressure on companies to integrate environmentally responsible practices into their operations and supply chains. Recognizing the pivotal role of green supply chain management in sustainable job creation, environmental problem reduction, improved public health through safer food consumption, and enhanced agricultural land productivity, recent years have witnessed increased interest and research into the determinants of green supply chain management.MethodologyThis research adopts a mixed-method approach conducted in two stages. Firstly, qualitative content analysis is employed to review theoretical foundations and prior studies, facilitating the identification of indicators associated with drivers for green supply chain management using IoT. Subsequently, these identified indicators are validated and verified by 22 experts specializing in management and information technology.ResultsThe research findings indicate that green supply chain management, with an IoT approach, comprises nine components: intelligent supply chain management, real-time monitoring of object statuses, intelligent object transfer, intelligent object location, information transparency, corruption reduction, intelligent quality management, intelligent sourcing, intelligent distribution management, and intelligent inventory management.ConclusionsThis study highlights the presence of nine components and 66 indicators within the IoT-based green supply chain model. These components encompass various aspects of supply chain management, emphasizing the importance of incorporating IoT technology to enhance overall supply chain performance while addressing environmental considerations. Due to the growing concerns surrounding environmental issues and the emission of harmful substances by companies, it is highly recommended to incorporate the IoT into supply chain management. This integration serves to monitor and control the quantity of waste generated, and encourages the use of environmentally-friendly 3D printing for creating IoT sensors instead of traditional plastic materials. Furthermore, it is advisable to optimize waste collection schedules and routes for garbage trucks, as these measures can significantly reduce the time and resources spent on waste management. To facilitate this transition, managers should organize in-service training programs to educate employees about IoT technology and communication equipment, emphasizing the positive impact of these advancements on green supply chain management. Additionally, adopting state-of-the-art technologies like Radio-Frequency Identification (RFID) in supply chain systems can contribute to the development of a sustainable and environmentally-conscious supply chain. Legislative bodies should also play a crucial role in promoting green supply chain practices by identifying and addressing legal loopholes in existing supply chain-related laws. This can be achieved through the implementation of incentives, such as tax reductions for eco-friendly companies, or penalties, including tax hikes, financial fines, and even legal repercussions, to encourage the adoption of smoother and more environmentally responsible supply chain management practices. It's worth noting that this research has certain limitations. It primarily relied on articles within specific databases during a defined timeframe, excluding other valuable sources like foreign books and theses due to accessibility constraints. Furthermore, qualitative research inherently depends on the researcher's interpretation and perspective, potentially affecting the reliability of the results. Lastly, challenges related to the COVID-19 pandemic and respondent reluctance posed difficulties during the research process.
Mohammadtaghi Moharrami; Mohammad Kazem Sayadi; Meysam Rafei
Abstract
Nowadays, due to the pollution that businesses and various industries impose to the environment, the adoption of strategies and policies by governments to improve the environmental performance of the supply chain has received more attention. The green supply chain will have many benefits, such as saving ...
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Nowadays, due to the pollution that businesses and various industries impose to the environment, the adoption of strategies and policies by governments to improve the environmental performance of the supply chain has received more attention. The green supply chain will have many benefits, such as saving energy resources, reducing pollutants, and so on. Government intervention to develop these chains takes various forms, such as subsidies, taxes, licensing, and advertising. In this study, two manufacturers with green and non-green supply chains compete in a competitive market and sell their products through a joint retailer, and the government intervenes as a leader in the Stackelberg game. These chains are designed based on the selection of agent-based pricing and wholesale pricing methods in four different models. In these models, the government advertises for green products in the first and second models and imposes taxes on the producer of non-green products in the third and fourth models, seeking to maximize social welfare and improving the environment. In order to analyze and compare the models, the game theory approach was used. The results show that in general, government intervention improves the environmental situation and social welfare, and in the case of advertising has a better effect on the overall market trend and also on social welfare than the tax imposing strategy.IntroductionToday, with the rapid growth of industries worldwide, the environmental impact and ecological effects of products have become significant concerns. There is a growing awareness of the environmental consequences and associated risks to human health resulting from industrial activities. Consequently, research on green supply chain management has seen a significant increase. As public awareness about environmental issues continues to rise and concerns about the future of our planet intensify, customers are increasingly inclined to purchase environmentally friendly products. This shift in consumer behavior has prompted manufacturers and businesses to reassess their production processes and adapt to changing customer preferences and new government policies. The primary objective of this research is to investigate the role of government intervention in influencing the demand for green and non-green products through factor-oriented green and non-green supply chains. Additionally, the study aims to identify government policies that can facilitate the development and adoption of green products. The findings of this research can be utilized by governments to promote the use of environmentally friendly goods and enhance environmental protection efforts.Materials and methodsThe approach of this research involves modeling and analysis. The research considers multiple models, each consisting of two supply chains with two manufacturers and a common retailer. One manufacturer produces a green product (environmentally friendly), while the other produces a non-green product (not environmentally friendly). Throughout the research, all comparative models adhere to this structure, with the first supply chain focusing on the production of green products and the second supply chain delivering non-green products to customers. All the analyses conducted in this research are mathematically analyzed and utilize game theory to validate the model results and analyze them. Since the model results are mathematically proven, there is no need to collect real-world data. Instead, hypothetical data are used in the examples to illustrate the various aspects of the problem. In this research, all the models are designed based on the Stackelberg game, and the government takes the initiative in determining its objectives.ResultsIn order to compare the models and analyze the results, we first considered a fixed strategy (advertisement or taxation) for the government. This allowed us to investigate the effect of pricing type on profit, demand, and social welfare. We compared the first model with the second model and also compared the third and fourth models together. Furthermore, we compared the advertising strategy models with the taxation strategy models, examining each strategy within the supply chains. The results indicate that the second model generates the highest level of social welfare and benefits for society, while also resulting in the greatest profit for producers and retailers. Following that, the first model exhibits more social welfare compared to the third and fourth models. Additionally, the profit of the green product producer in the first model significantly surpasses that of the non-green product producer. This difference in profitability serves as an incentive for producers to transition to green product production. Although the profit disparity between producers in the third and fourth models is more substantial and encourages the greater promotion of green product production, it leads to lower satisfaction and well-being.ConclusionsThe results demonstrate the high sensitivity of producers' and retailers' profits to the pricing of their products. The product price is influenced by factors such as whether the supply chain is factor-oriented or wholesale, as well as the type of government intervention. When consumers make purchasing decisions, they consider not only the price but also other parameters, such as the environmental friendliness of the product. In other words, the choice of a product is determined by a set of conditions and is not solely dependent on price fluctuations. The pricing method, whether factor-oriented or wholesale, significantly impacts the profitability of supply chain members and has implications for social welfare and environmental improvement. Different types of government intervention, such as cultural initiatives or taxation, can also lead to changes in the results
Amir Yousefli; Vahid Karimpour Khameneh; Reza Norouzi
Abstract
Refineries, including the conversion industries, use oil and gas as row materials and their production processes and products could be so harmful to the environment if they could not manage properly. Nowadays, these companies are working hard to minimize the environmental damages caused by their products, ...
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Refineries, including the conversion industries, use oil and gas as row materials and their production processes and products could be so harmful to the environment if they could not manage properly. Nowadays, these companies are working hard to minimize the environmental damages caused by their products, production processes, supply chain, distribution methods and etc. The first step to manage environmental impacts properly, is considering the current condition and correct evaluation of products. In this paper a new method is presented to evaluate the refinery products degree of greenness. The developed model consists of influencing parameters on greenness degree, which are classified in a hierarchical structure. Due to the difficulties in defining an explicit function, fuzzy controllers are implemented to infer degree of greenness based on influencing parameters values. Effectiveness of the presented model is evaluated by assessing the greenness degree of Bandar Abbas refinery products and the results reflect good performance of the developed model.
Soroush Avakh Darestani; Fatemeh Fazel
Abstract
Training and development are considered as the facilitator of Green Human Resource Management. Green training related to environmental issues and enables all employees to the organization's performance with environmental issues are integrated. The aim of this research was about investigating the relationship ...
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Training and development are considered as the facilitator of Green Human Resource Management. Green training related to environmental issues and enables all employees to the organization's performance with environmental issues are integrated. The aim of this research was about investigating the relationship between green training and green supply chain management and finally its effect on organizational performance. In this context, a developed conceptual model was designed. The statistical population included all experts and managers of the National Iranian Oil Products Distribution Company of Guilan’s region. The innovation of the present research is to measure the impact of green human resources management and supply chain management in integrating these two processes into the organization's performance. The results of the hypothesis with 95% confidence interval using structural equation modeling using LISREL software show that green education has significant impact on organizational performance through mediating role of green supply chain management and green education can be a source of competitive advantage for companies. Green supply chain management also improves the performance of the organization in terms of efficiency, effectiveness, and environmental distinction in achieving a sustainable competitive advantage
Zahra Safari
Abstract
By increasing attention to environmental issues, the problem of design closed-loop supply chain has been more important. The integrated design of closed-loop supply chains as one of the most important issues in the management of supply chains involve determining the location and number of required facilities ...
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By increasing attention to environmental issues, the problem of design closed-loop supply chain has been more important. The integrated design of closed-loop supply chains as one of the most important issues in the management of supply chains involve determining the location and number of required facilities (production, collection, recycling and disposal) in the forward and reverse supply chain, inventories in every facility and flows between them. In this paper, a closed-loop supply chain with diverse products (multi-product) has been studied and a linear bi-objective mathematical model is proposed to reduce the total costs and the emissions in the network with determining the strategic and operational variables. Because of the uncertainty in parameters of proposed model such as customer demands or returns, the proposed model under uncertainty (robust optimization) is developed. The closed-loop supply chain of glass bottles is studied and modeled to minimize the total costs and production of carbon dioxide by proposed model. Finally, a sensitivity analysis of robust optimization model was conducted.
hadis drikvand; seyyed mohammad hajimolana
Abstract
Environmental concerns have spurred an interest in studying green supply chain. Nowadays, governmental and non-governmental organizations consider environmental management as a strategic requirement having numerous benefits. Therefore, they effort to increase customers' satisfactory and market share ...
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Environmental concerns have spurred an interest in studying green supply chain. Nowadays, governmental and non-governmental organizations consider environmental management as a strategic requirement having numerous benefits. Therefore, they effort to increase customers' satisfactory and market share considering external factors like environmental consequences in addition to internal factors. In this paper, a bi-objective mixed integer programming model is developed to identify the optimal location for manufacturers and disassembly sites in a green supply chain network design. This paper addresses the role of the reliability of facilities and vehicles to ensure effective stream among supply chain network, the objective functions are defined as total cost minimization, and total co2 emissions minimization. Besides, uncertainties on the network design are investigated through two-stage stochastic programming. with respect to the fact that the model is non-linear and bi-objective, at first, an approach is presented to linearize it and then the proposed bi-objective mathematical model is solved as a single-objective one by compromise programming method. The effectiveness of the proposed model is demonstrated by using of a numerical example derived from a real case.
