Designing Closed-Loop Supply Chain Network for High-Salvage Perishable Products Under Uncertain Environment

Yang, Yabin; Chen, Yong

doi:10.1109/access.2021.3097548

Cited by 6 publications

(2 citation statements)

References 35 publications

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“…A robust 𝐻 ∞ control method is proposed in [23] for multiagent-based supply chain systems with uncertain demands under a switching topology. To extract the maximum value of high-salvage perishable products, a closed-loop supply chain network model with various uncertainties based on the product life cycle is established in [24]. There are other literatures which studies on the uncertainty of supply chain systems [25][26][27].…”

Section: Literature Reviewmentioning

confidence: 99%

Robust Control Strategy for an Uncertain Dual-Channel Closed-Loop Supply Chain With Process Innovation for Remanufacturing

Xia,

2023

IEEE Access

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The inventory and total cost control strategy are the core issue in all supply chains. When a supply chain includes parameter uncertainty, dual-channel and process innovation for remanufacturing (PIR), the system is complex so that its stability can't be guaranteed easily. Therefore, how to manage the complex uncertain dual-channel closed-loop supply chain (CLSC) with PIR is a big challenge. The inventory and total cost control strategy for the CLSC with PIR is studied in this article. First of all, the uncertain mathematical model for the the CLSC with PIR is established based on the current inventory and total operation cost. Secondly, the model is converted to an uncertain multi-model according to different initial operation cases which is then described with a set of switching subsystem based on discrete Takagi-Sugeno(T-S) fuzzy model. Thirdly, a fuzzy robust 𝐻 ∞ control approach is introduced to restrain the bullwhip effect and deal with the impacts caused by parameter uncertainty. Meanwhile, the inventory and total operation cost control strategy of the CLSC system is also obtained by the 𝐻 ∞ control method. At last, three simulation tests are conducted to illustrate the effectiveness of the inventory control strategy.INDEX TERMS Dual-channel closed-loop supply chain, Uncertain systems, Robust 𝐻 ∞ control, Process Innovation in remanufacturing, bullwhip effect, Inventory management.

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Section: Literature Reviewmentioning

confidence: 99%

Robust Control Strategy for an Uncertain Dual-Channel Closed-Loop Supply Chain With Process Innovation for Remanufacturing

Xia,

2023

IEEE Access

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“…The rest of the merchandise is kept in storage and is only displayed when necessary. Online businesses, on the other hand, are able to display a wide range of products since they have a lot of storage space [20].…”

Section: Recommendations Engines Have Beenmentioning

confidence: 99%

Untitled

2023

IJIEMR

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E-commerce has gradually become one of the most important driving forces for the sustained and vigorous development of country's consumer market. As a result of the rapid development of network and informatization, the application and maturity of technologies like the Internet, terminal equipment, logistics, and payment, and the continuous improvement of people's consumption concepts is growing. The typical marketing methodology does not allow organizations to completely comprehend the needs of their customers. Selling products to customers is the only concern of the e-commerce platforms.They can only concentrate on the product because they don't know what the customer wants.As a result of these limitations, a model for precision marketing that employs integrated convolution neural networks with Bi LSTM (Bidirectional Long Short Term Memory) to create detailed portraits of the target customers. Users' customized items and services are becoming increasingly more dependent on personalized suggestion services as the ecommerce business expands globally. They have the potential to lower the price users pay to gather information while also increasing sales for the company. The use of user reviews to address classic product recommender system research issues has become increasingly common in recent years. Using a convolution and bidirectional long short-term memory hybrid neural network, the review semantics extractor learns how to represent product reviews. Product Recommendations Generator models a user's preference for items based on their prior interactions. In this research a Predictive Integrated Convolution Neural Network with Bi LSTM (PICNN-BiLSTM) is proposed for predictive marketing of e-commerce applications. The proposed model considers Amazon dataset for market prediction and the results represent that the proposed model performance is higher.

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Sustainable plant-based dietary supply chain design to reduce malnutrition in deprived areas

Yekkehbash Heidari,

Taleizadeh,

Thaichon

2023

Computers & Industrial Engineering

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Designing Closed-Loop Supply Chain Network for High-Salvage Perishable Products Under Uncertain Environment

Cited by 6 publications

References 35 publications

Robust Control Strategy for an Uncertain Dual-Channel Closed-Loop Supply Chain With Process Innovation for Remanufacturing

Robust Control Strategy for an Uncertain Dual-Channel Closed-Loop Supply Chain With Process Innovation for Remanufacturing

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Sustainable plant-based dietary supply chain design to reduce malnutrition in deprived areas

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