Decision-making and coordination of green closed-loop supply chain with fairness concern

Jian, Jie; Li, Bin; Zhang, Nian; Su, Jiafu

doi:10.1016/j.jclepro.2021.126779

Cited by 139 publications

(94 citation statements)

References 34 publications

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“…The algorithm introduced a chaotic disturbance mechanism when updating the ant pheromone on the path, so as to reduce the probability of falling into a local optimal solution and effectively improve the adaptability of the algorithm. In summary, current scholars mostly adopted heuristic algorithms, such as the genetic algorithm and ant colony algorithm, to solve the integrated scheduling problem of production and transportation in the supply chain [32,33]. However, there are many variables, such as the distribution batch and mode of the supply chain, the start-up time of production and the production efficiency, which increase the complexity of the model and require higher requirements for algorithm efficiency.…”

Section: Literature Reviewmentioning

confidence: 99%

Integrated Production and Transportation Scheduling in E-Commerce Supply Chain with Carbon Emission Constraints

Wang

2021

JTAER

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Carbon emission constraints and trading policies in e-commerce environments have brought huge challenges to the operation of supply chain enterprises. In order to ensure the good operation of the e-commerce supply chain in a low-carbon environment, a supply chain scheduling optimization method based on integration of production and transportation with carbon emission constraints is proposed; we use it to analyze the impact of centralized decision-making mode and decentralized decision-making mode on supply chain scheduling and establish a scheduling optimization model that aims at optimal carbon emissions and costs. A multilevel genetic algorithm was designed according to the characteristics of the model, and numerical examples are used to verify the effectiveness of the model and algorithm. The results show that the centralized decision-making mode plays the role of the carbon emission constraints to the greatest extent; the carbon emissions and the cost are smallest in the centralized decision-making mode. The decentralized decision-making mode leads to the overall cost preference of the supply chain due to separate decisions made by enterprises, and the carbon emissions in the supply chain are greater. Transportation experts, business managers and government departments are interesting for integrated production and transportation scheduling in e-commerce supply chain with carbon emission constraints. Further research should address integrated production and transportation scheduling in dual-channel low supply chains.

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Section: Literature Reviewmentioning

confidence: 99%

Integrated Production and Transportation Scheduling in E-Commerce Supply Chain with Carbon Emission Constraints

Wang

2021

JTAER

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“…In a highly competitive environment, every company is driven by its principle for maximising its profits. In this circumstance, decentralised decision-making is a better fit with practical reality [88][89][90]. In addition, cross-channel recycling increases the choice of recycling channels available to consumers and enhances their product recycling experience.…”

Section: Decentralised Decision Modelmentioning

confidence: 99%

A Two-Stage Closed-Loop Supply Chain Pricing Decision: Cross-Channel Recycling and Channel Preference

Pan

Lin

2021

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This paper focuses on the pricing problem of a two-stage closed-loop supply chain (CLSC) considering the cross-channel recycling and channel preference based on a single manufacturer and a single traditional retailer. The pricing decision problem raises from the manufacturer’s direct sales and the retailer’s retailing including recycling. Managers need to focus on intelligible management considering consumer channel preferences, cross-channel recovery and pricing strategies. According to game theory, centralized and decentralized CLSC decision models are used to provide an efficient solution to managers for the pricing problem. The centralized model consists of differential and uniform pricing strategy and the decentralized model consists of manufacturer-led Stackelberg, retailer-led Stackelberg and Nash equilibrium game, respectively. The impact of cross-channel recycling rate and channel preference on pricing and profitability in a two-stage CLSC system is explained elaborately in this study. The results show that cross-channel recovery rates and consumer channel preferences have a direct significant impact on pricing strategies including profit allocation decisions in CLSC. It demonstrated that different channel preferences leading to different pricing strategies and decision for manufacturers and retailers choices. Manufacturer’s pricing decreases when channel preferences are constant and cross-channel recovery rates increase. Retailer’s pricing remains stable as the cross-channel recovery rate has less affected on it. Furthermore, if the cross-channel recovery rates increase, then the manufacturers pricing decreases and retailers pricing increases. This information will be a helpful guideline for the manager to select suitable pricing strategies based on the company scenario.

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“…The research on CLSC and other studies about recycling, recovery, reuse, remanufacturing, and related practices have been increased by the concern for environmental sustainability. For example, Jie et al [17] developed a model to study two-echelon green CLSC consists of manufacturer and retailer. The manufacturer was responsible for producing the green products, and direct recycling, processing, and remanufacturing of waste products from consumers into new green products.…”

Section: Clsc Designmentioning

confidence: 99%

Sustainable Design of a Multi-Echelon Closed Loop Supply Chain under Uncertainty for Durable Products

2021

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The increased awareness of environmental sustainability has led to increasing attention to closed loop supply chains (CLSC). The main objective of the CLSC is to capture values from end-of-life (EOL) products in a way that ensures a business to be economically and environmentally sustainable. The challenge is the complexity that occurrs due to closing the loop. At the same time, considering stochastic variables will increase the realism of the obtained results as well as the complexity of the model. This study aims to design a CLSC for durable products using a multistage stochastic model in mixed-integer linear programming (MILP) while considering uncertainty in demand, return rate, and return quality. Demand was described by a normal distribution whereas return rate and return quality were represented by a set of discrete possible outcomes with a specific probability. The objective function was to maximize the profit in a multi-period and multi-echelon CLSC. The multistage stochastic model was tested on a real case study at an air-conditioning company. The computational results identified which facilities should be opened in the reversed loop to optimize profit. The results showed that the CLSC resulted in a reduction in purchasing costs by 52%, an annual savings of 831,150 USD, and extra annual revenue of 5459 USD from selling raw material at a material market. However, the transportation cost increased by an additional annual cost of 6457 USD, and the various recovery processes costs were annually about 152,897 USD. By running the model for nine years, the breakeven point will be after three years of establishing the CLSC and after the annual profit increases by 1.92%. In conclusion, the results of this research provide valuable analysis that may support decision-makers in supply chain planning regarding the feasibility of converting the forward chain to closed loop supply chain for durable products.

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Decision-making and coordination of green closed-loop supply chain with fairness concern

Cited by 139 publications

References 34 publications

Integrated Production and Transportation Scheduling in E-Commerce Supply Chain with Carbon Emission Constraints

Integrated Production and Transportation Scheduling in E-Commerce Supply Chain with Carbon Emission Constraints

A Two-Stage Closed-Loop Supply Chain Pricing Decision: Cross-Channel Recycling and Channel Preference

Sustainable Design of a Multi-Echelon Closed Loop Supply Chain under Uncertainty for Durable Products

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