Research on Supply Chain Network Optimization of AH Company

Since the onset of Supply chain management has gained maximum recognition, with many countries elevating supply chain levels at the strategic level. This article selects AH Company’s supply chain network as the research object, analyzes the main challenges faced by the company in the supply chain aspect, and evaluates its original supply chain network. It incorporates sustainable development factors into the current global supply chain management theme, taking into account four aspects: total supply chain cost, service level, corporate sustainable development vision (carbon emissions), and supply chain risks. The “Supply Chain Guru X (2022)” software is applied to propose optimization solutions for existing problems on the basis of the original supply chain network. Based on the existing data, a comprehensive comparison of the advantages and disadvantages of various optimization schemes is implemented to select the current optimal supply chain network optimization scheme. In the process of optimizing the plan, the multi-objective optimization theory and big data processing technology were emphasized, and the corresponding technical theories were integrated into the “Supply Chain Guru X (2022)” software. By optimizing the supply chain network of AH Company, the overall operating costs of the company’s supply chain network have been significantly reduced while meeting customer needs. Concurrently, it can provide a good example for optimizing the supply chain network of similar enterprises.

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Publication Details

Journal
Sustainability
Published
2024-10-24
DOI
https://doi.org/10.3390/su16219241
Citations
2
Primary Topic
Advanced Manufacturing and Logistics Optimization
Type
article
Field-Weighted Citation Impact
0.70
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article

Research on Supply Chain Network Optimization of AH Company

L.L. Zhang, Decai Tang, Yuhan Pan, Yuehong Kong
2 citations
Sustainability
Advanced Manufacturing and Logistics Optimization
0.70
article

Research on Supply Chain Network Optimization of AH Company

L.L. Zhang, Decai Tang, Yuhan Pan, Yuehong Kong
article en
2 citations

Abstract

Since the onset of Supply chain management has gained maximum recognition, with many countries elevating supply chain levels at the strategic level. This article selects AH Company’s supply chain network as the research object, analyzes the main challenges faced by the company in the supply chain aspect, and evaluates its original supply chain network. It incorporates sustainable development factors into the current global supply chain management theme, taking into account four aspects: total supply chain cost, service level, corporate sustainable development vision (carbon emissions), and supply chain risks. The “Supply Chain Guru X (2022)” software is applied to propose optimization solutions for existing problems on the basis of the original supply chain network. Based on the existing data, a comprehensive comparison of the advantages and disadvantages of various optimization schemes is implemented to select the current optimal supply chain network optimization scheme. In the process of optimizing the plan, the multi-objective optimization theory and big data processing technology were emphasized, and the corresponding technical theories were integrated into the “Supply Chain Guru X (2022)” software. By optimizing the supply chain network of AH Company, the overall operating costs of the company’s supply chain network have been significantly reduced while meeting customer needs. Concurrently, it can provide a good example for optimizing the supply chain network of similar enterprises.

SustainabilityVol. 16(21)
Nanjing University of Information Science and Technology (CN), Sanjiang University (CN), Nanjing Institute of Railway Technology (CN), Nanjing University (CN)
Industry, innovation and infrastructure
Openalex Percentile: Top 25%
Advanced Manufacturing and Logistics Optimization
0.70
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Research on Supply Chain Network Optimization of AH Company — L.L. Zhang, Decai Tang, et al. · Sustainability (2024) | TGRS Research Map | TGRS