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WordPress柔性供应链中的智能补货算法开发教程

WordPress柔性供应链中的智能补货算法开发教程

引言：柔性供应链与智能补货的重要性

在当今快速变化的电商环境中，WordPress作为全球最流行的内容管理系统，承载着大量电子商务网站。柔性供应链管理成为企业保持竞争力的关键，而智能补货算法则是柔性供应链的核心组成部分。本文将详细介绍如何在WordPress环境中开发一个智能补货算法，帮助电商企业实现库存优化、减少缺货损失并降低库存成本。

系统架构设计

环境准备与数据模型

首先，我们需要在WordPress中建立合适的数据结构来支持智能补货算法。以下是一个完整的数据表创建代码示例：

/**
 * 创建智能补货所需的数据表
 * 这段代码应该放在插件激活钩子中执行
 */
function create_smart_replenishment_tables() {
    global $wpdb;
    
    $charset_collate = $wpdb->get_charset_collate();
    $table_name = $wpdb->prefix . 'smart_inventory';
    
    $sql = "CREATE TABLE IF NOT EXISTS $table_name (
        id mediumint(9) NOT NULL AUTO_INCREMENT,
        product_id bigint(20) NOT NULL,
        sku varchar(100) NOT NULL,
        current_stock int(11) DEFAULT 0,
        safety_stock int(11) DEFAULT 10,
        lead_time_days int(11) DEFAULT 7,
        daily_demand_avg decimal(10,2) DEFAULT 0.00,
        daily_demand_std decimal(10,2) DEFAULT 0.00,
        reorder_point decimal(10,2) DEFAULT 0.00,
        order_quantity decimal(10,2) DEFAULT 0.00,
        last_calculated datetime DEFAULT CURRENT_TIMESTAMP,
        PRIMARY KEY (id),
        KEY product_id (product_id),
        KEY sku (sku)
    ) $charset_collate;";
    
    require_once(ABSPATH . 'wp-admin/includes/upgrade.php');
    dbDelta($sql);
    
    // 创建销售历史表
    $sales_table = $wpdb->prefix . 'sales_history';
    $sales_sql = "CREATE TABLE IF NOT EXISTS $sales_table (
        id mediumint(9) NOT NULL AUTO_INCREMENT,
        product_id bigint(20) NOT NULL,
        order_id bigint(20) NOT NULL,
        quantity int(11) NOT NULL,
        sale_date datetime NOT NULL,
        price decimal(10,2) NOT NULL,
        PRIMARY KEY (id),
        KEY product_id (product_id),
        KEY sale_date (sale_date)
    ) $charset_collate;";
    
    dbDelta($sales_sql);
}
register_activation_hook(__FILE__, 'create_smart_replenishment_tables');

需求预测算法实现

移动平均法实现

需求预测是智能补货的基础。以下是基于移动平均法的需求预测实现：

/**
 * 计算产品的移动平均需求
 * @param int $product_id 产品ID
 * @param int $period_days 计算周期（天）
 * @return array 包含平均需求和标准差的结果
 */
function calculate_moving_average_demand($product_id, $period_days = 30) {
    global $wpdb;
    
    $sales_table = $wpdb->prefix . 'sales_history';
    
    // 获取最近period_days天的销售数据
    $query = $wpdb->prepare(
        "SELECT 
            DATE(sale_date) as sale_day,
            SUM(quantity) as daily_quantity
        FROM $sales_table 
        WHERE product_id = %d 
        AND sale_date >= DATE_SUB(NOW(), INTERVAL %d DAY)
        GROUP BY DATE(sale_date)
        ORDER BY sale_date DESC",
        $product_id,
        $period_days
    );
    
    $daily_sales = $wpdb->get_results($query);
    
    if (empty($daily_sales)) {
        return array('avg' => 0, 'std' => 0);
    }
    
    // 计算日销售量的总和
    $total_quantity = 0;
    $daily_quantities = array();
    
    foreach ($daily_sales as $sale) {
        $total_quantity += $sale->daily_quantity;
        $daily_quantities[] = $sale->daily_quantity;
    }
    
    // 计算平均值
    $average_demand = $total_quantity / count($daily_sales);
    
    // 计算标准差
    $variance_sum = 0;
    foreach ($daily_quantities as $quantity) {
        $variance_sum += pow($quantity - $average_demand, 2);
    }
    
    $standard_deviation = sqrt($variance_sum / count($daily_quantities));
    
    return array(
        'avg' => round($average_demand, 2),
        'std' => round($standard_deviation, 2)
    );
}

智能补货点计算

安全库存与再订货点算法

基于需求预测，我们可以计算安全库存和再订货点：

/**
 * 计算安全库存和再订货点
 * @param float $avg_demand 平均日需求
 * @param float $std_demand 需求标准差
 * @param int $lead_time 交货期（天）
 * @param float $service_level 服务水平（如0.95表示95%的服务水平）
 * @return array 包含安全库存和再订货点的数组
 */
function calculate_reorder_point($avg_demand, $std_demand, $lead_time, $service_level = 0.95) {
    // 服务水平因子（Z值），对应不同的服务水平
    $z_values = array(
        0.80 => 0.84,
        0.85 => 1.04,
        0.90 => 1.28,
        0.95 => 1.65,
        0.99 => 2.33
    );
    
    // 获取Z值，如果未找到则使用默认值
    $z_value = isset($z_values[$service_level]) ? $z_values[$service_level] : 1.65;
    
    // 计算安全库存：Z * σ * √(交货期)
    $safety_stock = $z_value * $std_demand * sqrt($lead_time);
    
    // 计算再订货点：(平均需求 * 交货期) + 安全库存
    $reorder_point = ($avg_demand * $lead_time) + $safety_stock;
    
    return array(
        'safety_stock' => ceil($safety_stock),
        'reorder_point' => ceil($reorder_point)
    );
}

/**
 * 计算经济订货批量（EOQ）
 * @param float $annual_demand 年需求量
 * @param float $ordering_cost 每次订货成本
 * @param float $holding_cost 单位持有成本
 * @return float 经济订货批量
 */
function calculate_eoq($annual_demand, $ordering_cost, $holding_cost) {
    if ($holding_cost <= 0) {
        return 0;
    }
    
    // EOQ公式：√((2 * 年需求 * 订货成本) / 持有成本)
    $eoq = sqrt((2 * $annual_demand * $ordering_cost) / $holding_cost);
    
    return ceil($eoq);
}

集成WordPress库存管理系统

自动补货检查与通知

将智能算法集成到WordPress的库存管理系统中：

/**
 * 检查库存并触发补货建议
 * 此函数可以设置为WordPress定时任务
 */
function check_and_suggest_replenishment() {
    global $wpdb;
    
    $inventory_table = $wpdb->prefix . 'smart_inventory';
    $products_table = $wpdb->prefix . 'posts';
    $postmeta_table = $wpdb->prefix . 'postmeta';
    
    // 获取所有需要监控的产品
    $query = "
        SELECT 
            i.*,
            p.post_title as product_name,
            pm.meta_value as woocommerce_stock
        FROM $inventory_table i
        LEFT JOIN $products_table p ON i.product_id = p.ID
        LEFT JOIN $postmeta_table pm ON i.product_id = pm.post_id AND pm.meta_key = '_stock'
        WHERE p.post_type = 'product' AND p.post_status = 'publish'
    ";
    
    $products = $wpdb->get_results($query);
    
    $replenishment_suggestions = array();
    
    foreach ($products as $product) {
        $current_stock = intval($product->woocommerce_stock);
        
        // 如果当前库存低于再订货点，则生成补货建议
        if ($current_stock <= $product->reorder_point) {
            // 计算建议订货量
            $suggested_quantity = max(
                $product->order_quantity,
                $product->reorder_point + $product->safety_stock - $current_stock
            );
            
            $replenishment_suggestions[] = array(
                'product_id' => $product->product_id,
                'product_name' => $product->product_name,
                'sku' => $product->sku,
                'current_stock' => $current_stock,
                'reorder_point' => $product->reorder_point,
                'suggested_quantity' => $suggested_quantity,
                'urgency' => $current_stock < $product->safety_stock ? 'high' : 'medium'
            );
            
            // 更新库存记录
            $wpdb->update(
                $inventory_table,
                array('current_stock' => $current_stock),
                array('id' => $product->id)
            );
        }
    }
    
    // 如果有补货建议，发送通知
    if (!empty($replenishment_suggestions)) {
        send_replenishment_notification($replenishment_suggestions);
    }
    
    return $replenishment_suggestions;
}

/**
 * 发送补货通知
 * @param array $suggestions 补货建议数组
 */
function send_replenishment_notification($suggestions) {
    $to = get_option('admin_email');
    $subject = '智能补货系统提醒：以下产品需要补货';
    
    $message = "<h2>补货建议报告</h2>";
    $message .= "<p>生成时间：" . date('Y-m-d H:i:s') . "</p>";
    $message .= "<table border='1' cellpadding='10'>";
    $message .= "<tr>
        <th>产品名称</th>
        <th>SKU</th>
        <th>当前库存</th>
        <th>再订货点</th>
        <th>建议补货量</th>
        <th>紧急程度</th>
    </tr>";
    
    foreach ($suggestions as $suggestion) {
        $urgency_color = $suggestion['urgency'] == 'high' ? 'red' : 'orange';
        
        $message .= "<tr>
            <td>{$suggestion['product_name']}</td>
            <td>{$suggestion['sku']}</td>
            <td>{$suggestion['current_stock']}</td>
            <td>{$suggestion['reorder_point']}</td>
            <td>{$suggestion['suggested_quantity']}</td>
            <td style='color:{$urgency_color};font-weight:bold;'>{$suggestion['urgency']}</td>
        </tr>";
    }
    
    $message .= "</table>";
    
    // 设置邮件头
    $headers = array('Content-Type: text/html; charset=UTF-8');
    
    // 发送邮件
    wp_mail($to, $subject, $message, $headers);
    
    // 同时记录到WordPress日志
    error_log('智能补货系统：已发送' . count($suggestions) . '条补货建议');
}

管理界面开发

WordPress后台管理页面

创建一个用户友好的管理界面来展示补货建议和算法配置：

/**
 * 添加智能补货管理菜单
 */
function add_smart_replenishment_menu() {
    add_menu_page(
        '智能补货系统',
        '智能补货',
        'manage_options',
        'smart-replenishment',
        'display_smart_replenishment_page',
        'dashicons-chart-area',
        56
    );
    
    add_submenu_page(
        'smart-replenishment',
        '补货建议',
        '补货建议',
        'manage_options',
        'smart-replenishment-suggestions',
        'display_replenishment_suggestions'
    );
    
    add_submenu_page(
        'smart-replenishment',
        '算法配置',
        '算法配置',
        'manage_options',
        'smart-replenishment-settings',
        'display_algorithm_settings'
    );
}
add_action('admin_menu', 'add_smart_replenishment_menu');

/**
 * 显示补货建议页面
 */
function display_replenishment_suggestions() {
    // 检查权限
    if (!current_user_can('manage_options')) {
        wp_die('您没有访问此页面的权限。');
    }
    
    // 获取补货建议
    $suggestions = check_and_suggest_replenishment();
    
    echo '<div class="wrap">';
    echo '<h1>智能补货建议</h1>';
    
    if (empty($suggestions)) {
        echo '<div class="notice notice-success"><p>当前没有需要补货的产品。所有产品库存充足！</p></div>';
    } else {
        echo '<table class="wp-list-table widefat fixed striped">';
        echo '<thead>
            <tr>
                <th>产品名称</th>
                <th>SKU</th>
                <th>当前库存</th>
                <th>安全库存</th>
                <th>建议补货量</th>
                <th>操作</th>
            </tr>
        </thead>';
        echo '<tbody>';
        
        foreach ($suggestions as $suggestion) {
            $product_edit_url = get_edit_post_link($suggestion['product_id']);
            
            echo '<tr>';
            echo '<td><a href="' . esc_url($product_edit_url) . '">' . esc_html($suggestion['product_name']) . '</a></td>';
            echo '<td>' . esc_html($suggestion['sku']) . '</td>';
            echo '<td>' . esc_html($suggestion['current_stock']) . '</td>';
            echo '<td>' . esc_html($suggestion['reorder_point']) . '</td>';
            echo '<td>' . esc_html($suggestion['suggested_quantity']) . '</td>';
            echo '<td>
                <a href="' . esc_url($product_edit_url) . '" class="button button-small">管理库存</a>
            </td>';
            echo '</tr>';
        }
        
        echo '</tbody>';
        echo '</table>';
        
        // 导出功能
        echo '<br><a href="' . admin_url('admin-post.php?action=export_replenishment_suggestions') . '" class="button button-primary">导出补货建议为CSV</a>';
    }
    
    echo '</div>';
}

部署与优化建议

系统集成与性能优化

定时任务设置：使用WordPress的Cron系统定期运行补货检查

// 设置每日补货检查
if (!wp_next_scheduled('daily_smart_replenishment_check')) {
 wp_schedule_event(time(), 'daily', 'daily_smart_replenishment_check');
}

add_action('daily_smart_replenishment_check', 'check_and_suggest_replenishment');

缓存策略：对计算结果进行缓存，减少数据库查询

/**
 * 获取带缓存的需求预测数据
 */
function get_cached_demand_forecast($product_id) {
 $cache_key = 'demand_forecast_' . $product_id;
 $cached_data = wp_cache_get($cache_key, 'smart_replenishment');
 
 if (false === $cached_data) {
     $cached_data = calculate_moving_average_demand($product_id);
     wp_cache_set($cache_key, $cached_data, 'smart_replenishment', 3600); // 缓存1小时
 }
 
 return $cached_data;
}

机器学习集成：考虑集成简单的机器学习模型进行需求预测

/**
 * 使用线性回归预测未来需求（简化版）
 */
function predict_future_demand_regression($product_id, $future_days = 7) {
    global $wpdb;
    
    $sales_table = $wpdb->prefix . 'sales_history';
    
    // 获取历史销售数据
    $query = $wpdb->prepare(
        "SELECT 
            DATEDIFF(NOW(), sale_date) as days_ago,
            SUM(quantity) as total_quantity
        FROM $sales_table 
        WHERE product_id = %d 
        AND sale_date >= DATE_SUB(NOW(), INTERVAL 90 DAY)
        GROUP BY DATE(sale_date)
        ORDER BY sale_date",
        $product_id
    );
    
    $historical_data = $wpdb->get_results($query);
    
    if (count($historical_data) < 14) {
        return null; // 数据不足
    }
    
    // 简化的线性回归计算
    // 在实际应用中，可以考虑使用PHP-ML等库
    $n = count($historical_data);
    $sum_x = 0; $sum_y = 0; $sum_xy = 0; $sum_x2 = 0;
    
    foreach ($historical_data as $i => $data) {
        $x = $i; // 时间序列索引
        $y = $data->total_quantity;
        
        $sum_x += $x;
        $sum_y += $y;
        $sum_xy += $x * $y;
        $sum_x2 += $x * $x;
    }
    
    // 计算斜率和截距
    $slope = ($n * $sum_xy - $sum_x * $sum_y) / ($n * $sum_x2 - $sum_x * $sum_x);
    $intercept = ($sum_y - $slope * $sum_x) / $n;
    
    // 预测未来需求
    $future_demand = array();

future_days; $i++) {

    $future_index = $n + $i;
    $predicted = $slope * $future_index + $intercept;
    $future_demand[] = max(0, round($predicted, 2)); // 确保非负
}

return $future_demand;

}


## 算法调优与参数配置

### 自适应参数调整机制

智能补货算法需要根据实际运营数据不断优化参数：

/**

自适应算法参数调整
根据历史预测准确度调整安全库存系数
*/

function adaptive_parameter_adjustment($product_id) {

global $wpdb;

$inventory_table = $wpdb->prefix . 'smart_inventory';
$sales_table = $wpdb->prefix . 'sales_history';

// 获取最近30天的预测与实际数据
$query = $wpdb->prepare(
    "SELECT 
        DATE(sale_date) as sale_date,
        SUM(quantity) as actual_demand,
        (SELECT daily_demand_avg FROM $inventory_table WHERE product_id = %d) as predicted_demand
    FROM $sales_table 
    WHERE product_id = %d 
    AND sale_date >= DATE_SUB(NOW(), INTERVAL 30 DAY)
    GROUP BY DATE(sale_date)",
    $product_id,
    $product_id
);

$daily_data = $wpdb->get_results($query);

if (count($daily_data) < 7) {
    return false; // 数据不足
}

// 计算预测误差
$total_error = 0;
$error_count = 0;

foreach ($daily_data as $day) {
    if ($day->predicted_demand > 0) {
        $error = abs($day->actual_demand - $day->predicted_demand) / $day->predicted_demand;
        $total_error += $error;
        $error_count++;
    }
}

if ($error_count == 0) {
    return false;
}

$mean_absolute_percentage_error = ($total_error / $error_count) * 100;

// 根据误差调整安全库存系数
$current_safety_factor = get_post_meta($product_id, '_safety_stock_factor', true);
$current_safety_factor = $current_safety_factor ? floatval($current_safety_factor) : 1.65;

// 误差大于20%时增加安全系数，小于5%时减少安全系数
if ($mean_absolute_percentage_error > 20) {
    $new_factor = min(2.5, $current_safety_factor * 1.1); // 最大不超过2.5
} elseif ($mean_absolute_percentage_error < 5) {
    $new_factor = max(1.0, $current_safety_factor * 0.95); // 最小不低于1.0
} else {
    $new_factor = $current_safety_factor;
}

// 更新安全库存系数
update_post_meta($product_id, '_safety_stock_factor', $new_factor);

// 重新计算安全库存
$demand_data = calculate_moving_average_demand($product_id);
$lead_time = get_post_meta($product_id, '_lead_time_days', true) ?: 7;

$reorder_data = calculate_reorder_point(
    $demand_data['avg'],
    $demand_data['std'],
    $lead_time,
    $new_factor / 1.65 // 转换为服务水平
);

// 更新库存记录
$wpdb->update(
    $inventory_table,
    array(
        'safety_stock' => $reorder_data['safety_stock'],
        'reorder_point' => $reorder_data['reorder_point'],
        'last_calculated' => current_time('mysql')
    ),
    array('product_id' => $product_id)
);

return array(
    'mape' => round($mean_absolute_percentage_error, 2),
    'old_factor' => round($current_safety_factor, 2),
    'new_factor' => round($new_factor, 2)
);

}


## 实时监控与预警系统

### 库存健康度监控

/**

库存健康度评分系统
评估每个产品的库存状况
*/

function calculate_inventory_health_score($product_id) {

global $wpdb;

$inventory_table = $wpdb->prefix . 'smart_inventory';

// 获取库存数据
$query = $wpdb->prepare(
    "SELECT * FROM $inventory_table WHERE product_id = %d",
    $product_id
);

$inventory_data = $wpdb->get_row($query);

if (!$inventory_data) {
    return null;
}

$current_stock = intval(get_post_meta($product_id, '_stock', true));
$reorder_point = floatval($inventory_data->reorder_point);
$safety_stock = floatval($inventory_data->safety_stock);

// 计算各项指标
$score = 100; // 初始分数

// 1. 库存覆盖天数评分
if ($inventory_data->daily_demand_avg > 0) {
    $cover_days = $current_stock / $inventory_data->daily_demand_avg;
    
    if ($cover_days < 3) {
        $score -= 30; // 库存严重不足
    } elseif ($cover_days < 7) {
        $score -= 15; // 库存不足
    } elseif ($cover_days > 90) {
        $score -= 20; // 库存积压
    } elseif ($cover_days > 60) {
        $score -= 10; // 库存偏高
    }
}

// 2. 相对于再订货点的评分
if ($current_stock <= $safety_stock) {
    $score -= 40; // 低于安全库存，紧急
} elseif ($current_stock <= $reorder_point) {
    $score -= 20; // 低于再订货点，需要补货
}

// 3. 需求波动性评分
$cv = ($inventory_data->daily_demand_avg > 0) ? 
      ($inventory_data->daily_demand_std / $inventory_data->daily_demand_avg) * 100 : 0;

if ($cv > 100) {
    $score -= 15; // 需求波动极大
} elseif ($cv > 50) {
    $score -= 8; // 需求波动较大
}

// 确保分数在0-100之间
$score = max(0, min(100, $score));

// 确定健康等级
if ($score >= 80) {
    $level = 'excellent';
    $color = '#4CAF50';
} elseif ($score >= 60) {
    $level = 'good';
    $color = '#8BC34A';
} elseif ($score >= 40) {
    $level = 'fair';
    $color = '#FFC107';
} elseif ($score >= 20) {
    $level = 'poor';
    $color = '#FF9800';
} else {
    $level = 'critical';
    $color = '#F44336';
}

return array(
    'score' => round($score),
    'level' => $level,
    'color' => $color,
    'cover_days' => isset($cover_days) ? round($cover_days, 1) : 0,
    'current_stock' => $current_stock,
    'reorder_point' => $reorder_point
);

}

/**

生成库存健康度报告
*/

function generate_inventory_health_report() {

global $wpdb;

$inventory_table = $wpdb->prefix . 'smart_inventory';
$products_table = $wpdb->prefix . 'posts';

$query = "
    SELECT i.product_id, p.post_title
    FROM $inventory_table i
    JOIN $products_table p ON i.product_id = p.ID
    WHERE p.post_type = 'product' AND p.post_status = 'publish'
    ORDER BY i.last_calculated DESC
    LIMIT 50
";

$products = $wpdb->get_results($query);

$report = array(
    'excellent' => 0,
    'good' => 0,
    'fair' => 0,
    'poor' => 0,
    'critical' => 0,
    'products' => array()
);

foreach ($products as $product) {
    $health = calculate_inventory_health_score($product->product_id);
    
    if ($health) {
        $report[$health['level']]++;
        $report['products'][] = array(
            'id' => $product->product_id,
            'name' => $product->post_title,
            'health' => $health
        );
    }
}

return $report;

}


## 供应商协同与自动化采购

### 供应商API集成

/**

供应商API集成类
支持多个供应商的自动采购
*/

class SupplierAPIIntegration {

private $supplier_configs;

public function __construct() {
    $this->supplier_configs = get_option('smart_replenishment_suppliers', array());
}

/**
 * 创建采购订单
 */
public function create_purchase_order($items, $supplier_id) {
    if (!isset($this->supplier_configs[$supplier_id])) {
        return new WP_Error('invalid_supplier', '供应商配置不存在');
    }
    
    $supplier = $this->supplier_configs[$supplier_id];
    
    // 根据供应商类型调用不同的API
    switch ($supplier['type']) {
        case 'api_rest':
            return $this->call_rest_api($supplier, $items);
        case 'email':
            return $this->send_email_order($supplier, $items);
        case 'webhook':
            return $this->send_webhook_order($supplier, $items);
        default:
            return new WP_Error('unsupported_type', '不支持的供应商类型');
    }
}

/**
 * 调用REST API创建订单
 */
private function call_rest_api($supplier, $items) {
    $api_url = $supplier['api_url'] . '/purchase-orders';
    
    $order_data = array(
        'order_id' => 'WP-' . time() . '-' . rand(1000, 9999),
        'items' => array(),
        'shipping_address' => get_option('woocommerce_store_address'),
        'contact_email' => get_option('admin_email'),
        'notes' => '自动补货订单 - ' . date('Y-m-d H:i:s')
    );
    
    foreach ($items as $item) {
        $order_data['items'][] = array(
            'sku' => $item['sku'],
            'quantity' => $item['quantity'],
            'unit_price' => $item['unit_price'] ?? 0
        );
    }
    
    $args = array(
        'headers' => array(
            'Content-Type' => 'application/json',
            'Authorization' => 'Bearer ' . $supplier['api_key']
        ),
        'body' => json_encode($order_data),
        'timeout' => 30
    );
    
    $response = wp_remote_post($api_url, $args);
    
    if (is_wp_error($response)) {
        return $response;
    }
    
    $body = wp_remote_retrieve_body($response);
    $data = json_decode($body, true);
    
    // 记录采购订单
    $this->log_purchase_order($order_data['order_id'], $items, $supplier, $data);
    
    return $data;
}

/**
 * 记录采购订单到数据库
 */
private function log_purchase_order($order_id, $items, $supplier, $response) {
    global $wpdb;
    
    $table_name = $wpdb->prefix . 'purchase_orders';
    
    $wpdb->insert(
        $table_name,
        array(
            'order_id' => $order_id,
            'supplier_id' => $supplier['id'],
            'supplier_name' => $supplier['name'],
            'items' => json_encode($items),
            'response' => json_encode($response),
            'status' => isset($response['status']) ? $response['status'] : 'pending',
            'created_at' => current_time('mysql')
        ),
        array('%s', '%s', '%s', '%s', '%s', '%s', '%s')
    );
    
    return $wpdb->insert_id;
}

/**
 * 自动处理补货建议并创建采购订单
 */
public function auto_process_replenishment($urgency_filter = 'all') {
    $suggestions = check_and_suggest_replenishment();
    
    if (empty($suggestions)) {
        return array('success' => false, 'message' => '没有需要补货的产品');
    }
    
    // 按供应商分组
    $supplier_items = array();
    
    foreach ($suggestions as $suggestion) {
        // 获取产品的供应商信息
        $supplier_id = get_post_meta($suggestion['product_id'], '_main_supplier', true);
        
        if (!$supplier_id || $suggestion['urgency'] == 'low') {
            continue; // 跳过没有供应商或紧急度低的产品
        }
        
        // 应用紧急度过滤
        if ($urgency_filter != 'all') {
            if ($urgency_filter == 'high' && $suggestion['urgency'] != 'high') {
                continue;
            }
            if ($urgency_filter == 'medium' && $suggestion['urgency'] == 'low') {
                continue;
            }
        }
        
        if (!isset($supplier_items[$supplier_id])) {
            $supplier_items[$supplier_id] = array();
        }
        
        $supplier_items[$supplier_id][] = array(
            'product_id' => $suggestion['product_id'],
            'sku' => $suggestion['sku'],
            'quantity' => $suggestion['suggested_quantity'],
            'product_name' => $suggestion['product_name']
        );
    }
    
    // 为每个供应商创建采购订单
    $results = array();
    
    foreach ($supplier_items as $supplier_id => $items) {
        if (count($items) > 0) {
            $result = $this->create_purchase_order($items, $supplier_id);
            $results[$supplier_id] = $result;
            
            // 更新产品状态
            foreach ($items as $item) {
                update_post_meta(
                    $item['product_id'],
                    '_last_replenishment_order',
                    array(
                        'date' => current_time('mysql'),
                        'quantity' => $item['quantity'],
                        'supplier' => $supplier_id
                    )
                );
            }
        }
    }
    
    return array(
        'success' => true,
        'processed_suppliers' => count($results),
        'results' => $results
    );
}

}


## 性能监控与报表系统

### 算法性能追踪

/**

追踪算法性能指标
*/

class AlgorithmPerformanceTracker {

private static $instance = null;

public static function get_instance() {
    if (null === self::$instance) {
        self::$instance = new self();
    }
    return self::$instance;
}

/**
 * 记录预测准确度
 */
public function log_prediction_accuracy($product_id, $predicted, $actual, $period = 'daily') {
    global $wpdb;
    
    $table_name = $wpdb->prefix . 'algorithm_performance';
    
    $error = $actual > 0 ? abs($predicted - $actual) / $actual * 100 : 0;
    
    $wpdb->insert(
        $table_name,
        array(
            'product_id' => $product_id,
            'period' => $period,
            'predicted_value' => $predicted,
            'actual_value' => $actual,
            'error_percentage' => $error,
            'logged_at' => current_time('mysql')
        )
    );
}

/**
 * 生成性能报告
 */
public function generate_performance_report($start_date, $end_date) {
    global $wpdb;
    
    $table_name = $wpdb->prefix . 'algorithm_performance';
    $products_table = $wpdb->prefix . 'posts';
    
    $query = $wpdb->prepare(
        "SELECT 
            p.ID as product_id,
            p.post_title as product_name,
            COUNT(*) as total_predictions,
            AVG(ap.error_percentage) as avg_error,
            MIN(ap.error_percentage) as min_error,
            MAX(ap.error_percentage) as max_error,
            STDDEV(ap.error_percentage) as std_error
        FROM $table_name ap
        JOIN $products_table p ON ap.product_id = p.ID
        WHERE ap.logged_at BETWEEN %s AND %s
        GROUP BY ap.product_id
        ORDER BY avg_error DESC",
        $start_date,
        $end_date
    );
    
    $performance_data = $wpdb->get_results($query);
    
    // 计算总体统计
    $overall_stats = array(
        'total_products' => count($performance_data),
        'avg_error_all' => 0,
        'best_performing' => null,
        'worst_performing' => null
    );
    
    $total_error = 0;
    $count = 0;
    
    foreach ($performance_data as $data) {
        $total_error += $data->avg_error;
        $count++;
        
        if (!$overall_stats['best_performing'] || 
            $data->avg_error < $overall_stats['best_performing']->avg_error) {
            $overall_stats['best_performing'] = $data;
        }
        
        if (!$overall_stats['worst_performing'] || 
            $data->avg_error > $overall_stats['worst_per

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WordPress柔性供应链中的智能补货算法开发教程

引言：柔性供应链与智能补货的重要性

系统架构设计

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需求预测算法实现

移动平均法实现

智能补货点计算

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集成WordPress库存管理系统

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部署与优化建议

系统集成与性能优化

EXCHANGES®作者

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