Research and Development of Key Technologies, Applications and Systems for Carbon Neutrality
The establishment, management and improvement of the supply chain system are core ways to develop large enterprises. The main challenges enterprises face while optimizing their supply chains come from considering multi-disciplinary optimization goals, such as demand fulfillment rate, emergency resilience, inventory/operational cost, social/environmental impact, etc. Besides, with the emergence of new business models such as e-commerce, cloud computing, and digital supply chain, the applicability limitation and performance bottleneck of traditional supply chain management methods are becoming more and more significant.
The core purpose of establishing a supply chain is to ensure that customer needs are promptly met while reducing unit operating costs, including procurement, warehousing, transportation, and workforce, to increase the ROI while expanding the scale significantly. Traditional supply chain management systems use operation research algorithms to plan their inventory and allocate resources to fulfill customer demand against uncertainties in both demand and supply. This method exposes two deficiencies when applied to large-scale production scenarios in which the demand and supply trends dynamically change with market conditions and other uncontrollable factors.
1. Response to unexpected situations such as outbreaks or trade disputes relies heavily on human intervention, such as strategic stockpiling of critical raw materials in advance based on anticipation of abnormal supply factors and their impact. The disadvantage of relying on the subjective judgment of business personnel is the lack of objective measurement standards and countermeasures.
2. The life cycle and supply chain of assets are usually divided into two systems and managed separately, making it challenging to achieve supply chain self-circulation. While establishing a self-circulation system is the critical basis for achieving sustainable supply chain management, which can effectively use existing resources to save the cost of re-procurement and promote closer cooperation between upstream and downstream parties.
- A systematic model and a set of algorithms for quantitative assessment of the occurrence probability and impact of different types of supply chain risks.
- A simulation framework for evaluating the effectiveness of different countermeasures against different types of supply chain risks.
- A fine-grained server life-cycle-value model for establishing a profit-aware self-circulating supply chain management system in Alicloud infrastructure service.
Related Research Topics
- Supply chain optimization;
- Multi-echelon Inventory optimization;
- Supply chain risk modeling;
- Cloud computing total cost of ownership (TCO) modeling;
- Demand forecast;
- Operation research;