供应链管理系统怎么降低风险？库存预警 + 供应商管理实操方法

-- 创建库存预警查询
SELECT 
    product_id,
    product_name,
    current_stock,
    safety_stock,
    CASE 
        WHEN current_stock <= safety_stock * 0.3 THEN '紧急缺货'
        WHEN current_stock <= safety_stock * 0.7 THEN '需要补货'
        WHEN current_stock >= max_stock * 0.9 THEN '库存过高'
        ELSE '库存正常'
    END AS warning_level
FROM inventory
WHERE current_stock <= safety_stock 
    OR current_stock >= max_stock * 0.9;

// 供应商风险评估模型
public class SupplierRiskAssessment
{
    public decimal EvaluateSupplierRisk(Supplier supplier)
    {
        decimal riskScore = 0;
        
        // 交货准时率权重30%
        riskScore += (1 - supplier.OnTimeDeliveryRate) * 0.3m;
        
        // 质量合格率权重25%
        riskScore += (1 - supplier.QualityPassRate) * 0.25m;
        
        // 财务健康评分权重25%
        riskScore += (1 - supplier.FinancialHealthScore) * 0.25m;
        
        // 应急响应能力权重20%
        riskScore += (1 - supplier.EmergencyResponseScore) * 0.2m;
        
        return riskScore * 100; // 转换为百分制
    }
}

// 供应链风险仪表盘数据获取
class SupplyChainDashboard {
  async refreshRiskData() {
    try {
      const [inventoryAlerts, supplierPerformance, deliveryStatus] = 
        await Promise.all([
          fetchInventoryAlerts(),
          fetchSupplierPerformance(),
          fetchDeliveryStatus()
        ]);
      
      this.updateDashboard({
        inventoryAlerts,
        supplierPerformance,
        deliveryStatus
      });
    } catch (error) {
      console.error('刷新风险数据失败:', error);
      this.showErrorMessage('数据更新失败，请检查网络连接');
    }
  }
  
  updateDashboard(data) {
    // 更新UI显示最新风险数据
    this.displayInventoryWarnings(data.inventoryAlerts);
    this.renderSupplierMetrics(data.supplierPerformance);
    this.updateDeliveryTracking(data.deliveryStatus);
  }
}