Research on Supply Chain Network Optimization of AH Company

Yuehong Kong, Liang Zhang, Yuhan Pan () and Decai Tang ()
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Yuehong Kong: School of Finance and Logistics Management, Nanjing University of Railway Technology, Nanjing 210031, China
Liang Zhang: School of Law and Business, Sanjiang University, Nanjing 210012, China
Yuhan Pan: School of Management Science and Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, China
Decai Tang: School of Management Science and Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, China

Sustainability, 2024, vol. 16, issue 21, 1-20

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.

Keywords: supply chain network optimization; green supply chain; supply chain management; multi-objective optimization (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2024
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