Responsibility disengagement or sharing? Cooperative fulfilling mechanism of solid waste management in the remanufacturing supply chain
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Remanufacturing
Stackelberg competition
Revenue Sharing
In order to resolve all kinds of pricing problems in reverse supply chain, this paper constructed a multi-level remanufacturing reverse supply chain consisted of single recycler, single manufacturer and single retailer and established a non-cooperative stackelberg game by applying game theory. By solving this model, the equilibrium solution of stackelberg game was got. In non-cooperative game the maximize profits of every company in reverse supply chain and the total profits of the entire supply chain was acquired by using the equilibrium solution. The results show that this model can provide a theoretical basis for the pricing decision of remanufacturing reverse supply chain.
Remanufacturing
Stackelberg competition
Reverse Logistics
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Abstract We consider a supply chain involving one supplier and one retailer in which a revenue-sharing contract is adopted. Under this contract, the retailer can obtain the product from the supplier at a discounted price. As a compensation, the retailer must share his revenue with the supplier at a certain revenue-sharing rate, say r (0≤r≤1), where r represents the portion of the revenue to be kept by the retailer. Our ultimate objective is to help the whole supply chain be more profitable while upholding the individual components' incentives. We use a two-stage (Stackelberg) game to model the problem, where one player is the game's leader and the other the game's follower. Our analysis reveals that for the supply chain to be more profitable, the party that keeps more than half the revenue should serve as the leader of the Stackelberg game.
Stackelberg competition
Revenue Sharing
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With the pace of urbanization accelerating, smart cities are the newest concept, which will employ modern-day technology to bring about changes for the citizens and ensuring sustainable environmental practices. Another critical issue that arises in urbanization areas is the management of solid waste. Such advanced integrated IoT and ML technologies will be applied to develop highly efficient eco-friendly practical solutions for waste minimization, product remanufacturing, reuse and recycling in the Smart Cities. IoT sensors are deployed across the waste collection points, thus quite a huge amount of data is provided concerning waste generation patterns, bin fill levels, environmental conditions, etc. Using Machine Learning many algorithms are in place for processing this data and adjusting predictive analysis for waste accumulation and optimizing waste collection schedules. As well as that, ML models are used to identify the recyclable materials that are to use for recycling purposes in which it improves the sorting processes and activity. As well, this article examines the policy of remanufacturing, it specifically concentrates on the conversion of the worn out and to a large extent unusable products and recycling materials into new high quality materials. A significant advantage is that advanced tools for IoT monitoring will allow for smooth operations and the minimization of energy waste throughout the course of materials remanufacturing. On the one end, the reuse is ensured by smart platforms that enable how people can reused the existing things by re-circulating them within the community hence reduced new products demand and waste generation. Utilizing the business model of ML algorithms, these platforms will make sure that supply and demand gets a match in an efficient way that interlinks the city as a whole circular economy. Furthermore, the paper presents the use of blockchain for supporting visibility and stock tracking in the recycling supply chain. Through immutable registration of transactions and recycling procedure, blockchain guarantees authenticity of recycled products and most importantly gives incentives to the responsible practices of waste disposal. The offered measures not only serve to waste reduction but also help to increase the environmental cleanliness and develop the economy of Smart Cities. Through internet of things and learning machines application, cities can get promising cuts in waste, put into practical use circular economy principles, and leave with cleaner and healthier urban environment. Environment for their citizens. These results emphasize the necessity of technology-orientated policy in transformation of current waste management practices as well as present them in the new future in Smart City concept.
Remanufacturing
Minification
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Based on the concept of blockchain and Stackelberg game theory, the coordination problem of green supply chain under random environment is studied. Firstly, based on the concept of blockchain, green supply chain decision-making models composed of a manufacturer and a single retailer were constructed, in centralized, decentralized, revenue-sharing and green manufacturing cost sharing contract situations. Secondly, models were solved. Finally, the relevant conclusions are verified through simulation analysis and comparison. The study found that the revenue sharing ratio, green manufacturing cost sharing ratio and repurchase coefficient have a significant combined effect on supply chain coordination. When the green supply chain is coordinated, the overall revenue of manufacturers, retailers, and the supply chain under the blockchain concept is higher than that under the non-blockchain concept. Simultaneously, it improves product greenness, retailer’s ordering and the supply chain robustness.
Revenue Sharing
Stackelberg competition
Robustness
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This paper, focusing on the two-level supply chain with one supplier and one retailer, tries to set up a supply chain information sharing model with characteristics of the Stackelberg game to analyze whether the retailer and the supplier share the supply chain information. Meanwhile, it deals with the designation of the coordination mechanisms of the supply chain with characteristics of the Stackelberg game, on the basis of the study on the characteristics of the Stackelberg game and the coordination theory of the supply chain.
Stackelberg competition
Information Sharing
Chain (unit)
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Large numbers of studies have shown that: through the information sharing between enterprises upstream and downstream of supply chain, enterprises can improve their customer service quality, shorten payment cycles and reduce labor costs, so as to effectively alleviate the "bullwhip effect". However, the above studies of the supply chain were generally set up an absolute controlor, and used the unilateral or integrated decision-making model for minimizing cost or maximizing the benefits of the overall supply chain. This paper researched the supply chain with Stackelberg game characteristics, through the model analysis to explore the decision-making behavior of supply chain enterprises in three different information-sharing conditions. Then proposed the equilibrium conditions in each case of formation-Sharing.
Stackelberg competition
Bullwhip effect
Information Sharing
Demand chain
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Consider the production, delivery and inventory decision-making problems in decentralized supply chains. The supply chain members’ independent decision-making behavior was first analyzed. The established multi-level programming model is aimed at the Stackelberg game characteristics between the upper and the lower members in the supply chain system. The problem is solved with interactive algorithm.
Stackelberg competition
Supply chain optimization
Chain (unit)
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The overview of the main challenges and barriers related with the issues of reuse and remanufacturing of components from smart mobile devices were presented. The authors mainly focused on the current state of the art as well as the preliminary remarks from first investigation of the "sustainablySMART" H2020 project were presented. It was stated that both in reuse and remanufacturing processes of modern chips the main role plays: economic profitability of processes, environmental benefits and costs of processing needed for remanufacturing of components, as well as technical feasibility of components remanufacturing in the way enable their safe application in other products.
Remanufacturing
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Based on the Stackelberg model between suppliers and retailers, fairness concern and loss avoidance are introduced into suppliers and retailers in supply chain. This paper discusses whether the balance of supply chain can be realized through the repurchase contract and repurchase-revenue sharing con
Stackelberg competition
Revenue Sharing
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In this paper, we establish a dynamic game to allocate CSR (Corporate Social Responsibility) to the members of a supply chain. We propose a model of a supply chain in a decentralized state which includes a supplier and a manufacturer. For analyzing supply chain performance in decentralized state and the relationships between the members of the supply chain, we formulate a model that crosses through multiperiods with the help of a dynamic discrete Stackelberg game which is made under two different information structures. We obtain an equilibrium point at which both the profits of members and the level of CSR taken up by supply chains are maximized.
Stackelberg competition
Chain (unit)
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