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WordPress柔性供应链软件开发中实现智能补货策略的详细教程

本文详细介绍了在WordPress平台开发柔性供应链软件并实现智能补货策略的完整方案。系统采用模块化设计,深度集成WooCommerce,通过采集销售数据、运用移动平均法等算法进行需求预测,构建智能补货引擎以优化库存。教程涵盖系统架构、数据处理、算法实现到后台管理界面集成,旨在帮助企业动态调整库存,降低缺货风险与资金占用,提升电商运营效率。

WordPress柔性供应链软件开发中实现智能补货策略的详细教程

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,已成为许多企业搭建在线商店的首选平台。然而,随着业务规模扩大,传统的库存管理方式已无法满足需求。柔性供应链系统能够根据市场需求动态调整,而智能补货策略则是其核心组成部分,它通过数据分析和算法预测,实现库存优化,降低缺货风险,同时减少资金占用。

本文将详细介绍如何在WordPress环境中开发柔性供应链软件,并实现智能补货功能。我们将从系统设计、数据采集、算法实现到界面集成,提供完整的解决方案。

系统架构设计

整体架构概述

我们的柔性供应链系统将采用模块化设计,与WooCommerce深度集成,同时保持足够的灵活性以便未来扩展。

<?php
/**
 * WordPress柔性供应链系统 - 主架构类
 * 
 * @package FlexibleSupplyChain
 */

class FlexibleSupplyChainSystem {
    
    private $inventory_manager;
    private $demand_forecaster;
    private $replenishment_engine;
    private $data_collector;
    
    /**
     * 初始化系统组件
     */
    public function __construct() {
        $this->inventory_manager = new InventoryManager();
        $this->demand_forecaster = new DemandForecaster();
        $this->replenishment_engine = new ReplenishmentEngine();
        $this->data_collector = new DataCollector();
        
        $this->init_hooks();
    }
    
    /**
     * 初始化WordPress钩子
     */
    private function init_hooks() {
        // 每日执行库存检查和补货计算
        add_action('fsc_daily_replenishment_check', array($this, 'daily_replenishment_process'));
        
        // 订单完成后更新库存数据
        add_action('woocommerce_order_status_completed', array($this->inventory_manager, 'update_inventory_after_order'));
        
        // 添加管理页面
        add_action('admin_menu', array($this, 'add_admin_pages'));
    }
    
    /**
     * 每日补货处理流程
     */
    public function daily_replenishment_process() {
        // 1. 收集销售和库存数据
        $sales_data = $this->data_collector->get_recent_sales_data(30); // 最近30天数据
        $inventory_data = $this->data_collector->get_current_inventory();
        
        // 2. 预测需求
        $demand_forecast = $this->demand_forecaster->calculate_forecast($sales_data);
        
        // 3. 计算补货建议
        $replenishment_suggestions = $this->replenishment_engine->calculate_replenishment(
            $inventory_data, 
            $demand_forecast
        );
        
        // 4. 应用补货策略
        $this->apply_replenishment_decisions($replenishment_suggestions);
        
        // 5. 记录日志
        $this->log_replenishment_actions($replenishment_suggestions);
    }
    
    // ... 其他方法
}
?>

数据采集与处理模块

销售数据收集

智能补货的基础是准确的历史销售数据。我们需要从WooCommerce中提取相关数据并进行预处理。

<?php
/**
 * 数据收集器类
 * 负责从WooCommerce和其他来源收集数据
 */

class DataCollector {
    
    /**
     * 获取最近N天的销售数据
     * 
     * @param int $days 天数
     * @return array 销售数据数组
     */
    public function get_recent_sales_data($days = 30) {
        global $wpdb;
        
        $start_date = date('Y-m-d', strtotime("-{$days} days"));
        
        $query = $wpdb->prepare("
            SELECT 
                product_id,
                SUM(product_qty) as total_sold,
                DATE(post_date) as sale_date
            FROM {$wpdb->prefix}woocommerce_order_items as items
            INNER JOIN {$wpdb->prefix}woocommerce_order_itemmeta as meta 
                ON items.order_item_id = meta.order_item_id
            INNER JOIN {$wpdb->posts} as orders 
                ON items.order_id = orders.ID
            WHERE 
                meta.meta_key = '_product_id' AND
                orders.post_status = 'wc-completed' AND
                orders.post_date >= %s
            GROUP BY product_id, DATE(post_date)
            ORDER BY sale_date DESC
        ", $start_date);
        
        $results = $wpdb->get_results($query, ARRAY_A);
        
        // 处理数据,按产品ID组织
        $processed_data = array();
        foreach ($results as $row) {
            $product_id = $row['product_id'];
            if (!isset($processed_data[$product_id])) {
                $processed_data[$product_id] = array();
            }
            $processed_data[$product_id][] = array(
                'date' => $row['sale_date'],
                'quantity' => $row['total_sold']
            );
        }
        
        return $processed_data;
    }
    
    /**
     * 获取当前库存数据
     * 
     * @return array 库存数据
     */
    public function get_current_inventory() {
        $inventory_data = array();
        
        // 获取所有可管理库存的产品
        $args = array(
            'post_type' => 'product',
            'posts_per_page' => -1,
            'meta_key' => '_manage_stock',
            'meta_value' => 'yes'
        );
        
        $products = get_posts($args);
        
        foreach ($products as $product) {
            $product_id = $product->ID;
            $product_obj = wc_get_product($product_id);
            
            $inventory_data[$product_id] = array(
                'current_stock' => $product_obj->get_stock_quantity(),
                'backorders_allowed' => $product_obj->backorders_allowed(),
                'low_stock_amount' => get_post_meta($product_id, '_low_stock_amount', true) ?: 2,
                'reorder_level' => get_post_meta($product_id, '_reorder_level', true),
                'lead_time' => get_post_meta($product_id, '_lead_time_days', true) ?: 7,
                'supplier_id' => get_post_meta($product_id, '_supplier_id', true)
            );
        }
        
        return $inventory_data;
    }
}
?>

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核心。我们首先实现一个简单的移动平均法,然后扩展为更复杂的指数平滑法。

<?php
/**
 * 需求预测器类
 * 实现多种需求预测算法
 */

class DemandForecaster {
    
    /**
     * 计算需求预测
     * 
     * @param array $sales_data 销售数据
     * @param string $method 预测方法 (moving_average, exponential_smoothing)
     * @return array 预测结果
     */
    public function calculate_forecast($sales_data, $method = 'exponential_smoothing') {
        $forecasts = array();
        
        foreach ($sales_data as $product_id => $product_sales) {
            switch ($method) {
                case 'moving_average':
                    $forecasts[$product_id] = $this->moving_average_forecast($product_sales);
                    break;
                case 'exponential_smoothing':
                    $forecasts[$product_id] = $this->exponential_smoothing_forecast($product_sales);
                    break;
                default:
                    $forecasts[$product_id] = $this->exponential_smoothing_forecast($product_sales);
            }
        }
        
        return $forecasts;
    }
    
    /**
     * 简单移动平均法预测
     * 
     * @param array $sales_data 产品销售数据
     * @param int $period 移动平均期数,默认7天
     * @return array 包含预测值和置信区间的数组
     */
    private function moving_average_forecast($sales_data, $period = 7) {
        if (count($sales_data) < $period) {
            // 数据不足时使用所有可用数据
            $period = count($sales_data);
        }
        
        // 提取销售量
        $quantities = array_column($sales_data, 'quantity');
        
        // 计算最近period天的平均值
        $recent_data = array_slice($quantities, 0, $period);
        $average = array_sum($recent_data) / $period;
        
        // 计算标准差用于置信区间
        $variance = 0;
        foreach ($recent_data as $qty) {
            $variance += pow($qty - $average, 2);
        }
        $std_dev = sqrt($variance / $period);
        
        // 95%置信区间
        $confidence_interval = 1.96 * $std_dev / sqrt($period);
        
        return array(
            'forecast' => round($average, 2),
            'lower_bound' => round(max(0, $average - $confidence_interval), 2),
            'upper_bound' => round($average + $confidence_interval, 2),
            'method' => 'moving_average',
            'period' => $period
        );
    }
    
    /**
     * 指数平滑法预测 (Holt-Winters方法,考虑趋势和季节性)
     * 
     * @param array $sales_data 产品销售数据
     * @param float $alpha 水平平滑系数 (0-1)
     * @param float $beta 趋势平滑系数 (0-1)
     * @param int $season_period 季节性周期 (如7表示周季节性)
     * @return array 预测结果
     */
    private function exponential_smoothing_forecast($sales_data, $alpha = 0.3, $beta = 0.1, $season_period = 7) {
        $quantities = array_column($sales_data, 'quantity');
        $n = count($quantities);
        
        if ($n < $season_period * 2) {
            // 数据不足以进行季节性分析,退回到简单指数平滑
            return $this->simple_exponential_smoothing($quantities, $alpha);
        }
        
        // 初始化水平、趋势和季节性成分
        $level = array();
        $trend = array();
        $seasonal = array();
        
        // 初始季节性因子计算
        $season_averages = array();
        for ($i = 0; $i < $season_period; $i++) {
            $sum = 0;
            $count = 0;
            for ($j = $i; $j < $n; $j += $season_period) {
                $sum += $quantities[$j];
                $count++;
            }
            $season_averages[$i] = $sum / $count;
        }
        
        $overall_average = array_sum($season_averages) / $season_period;
        
        // 初始化季节性因子
        for ($i = 0; $i < $season_period; $i++) {
            $seasonal[$i] = $season_averages[$i] / $overall_average;
        }
        
        // 初始水平和趋势
        $level[0] = $quantities[0] / $seasonal[0];
        $trend[0] = 0;
        
        // 应用Holt-Winters公式
        for ($i = 1; $i < $n; $i++) {
            $season_index = $i % $season_period;
            
            // 更新水平
            $level[$i] = $alpha * ($quantities[$i] / $seasonal[$season_index]) + 
                        (1 - $alpha) * ($level[$i-1] + $trend[$i-1]);
            
            // 更新趋势
            $trend[$i] = $beta * ($level[$i] - $level[$i-1]) + 
                        (1 - $beta) * $trend[$i-1];
            
            // 更新季节性因子
            $seasonal[$season_index] = 0.2 * ($quantities[$i] / $level[$i]) + 
                                      0.8 * $seasonal[$season_index];
        }
        
        // 生成预测
        $last_level = $level[$n-1];
        $last_trend = $trend[$n-1];
        $last_season_index = ($n-1) % $season_period;
        
        // 预测未来7天
        $forecast_days = 7;
        $forecast_values = array();
        
        for ($i = 1; $i <= $forecast_days; $i++) {
            $season_index = ($last_season_index + $i) % $season_period;
            $forecast = ($last_level + $i * $last_trend) * $seasonal[$season_index];
            $forecast_values[] = max(0, round($forecast, 2));
        }
        
        // 计算平均预测值作为补货依据
        $average_forecast = array_sum($forecast_values) / count($forecast_values);
        
        return array(
            'forecast' => round($average_forecast, 2),
            'daily_forecasts' => $forecast_values,
            'method' => 'holt_winters',
            'parameters' => array(
                'alpha' => $alpha,
                'beta' => $beta,
                'season_period' => $season_period
            )
        );
    }
}
?>

智能补货引擎

补货策略实现

基于需求预测和当前库存,我们可以实现多种补货策略。

<?php
/**
 * 补货引擎类
 * 实现智能补货决策逻辑
 */

class ReplenishmentEngine {
    
    /**
     * 计算补货建议
     * 
     * @param array $inventory_data 当前库存数据
     * @param array $demand_forecasts 需求预测
     * @return array 补货建议
     */
    public function calculate_replenishment($inventory_data, $demand_forecasts) {
        $suggestions = array();
        
        foreach ($inventory_data as $product_id => $inventory) {
            if (!isset($demand_forecasts[$product_id])) {
                continue; // 没有预测数据的产品跳过
            }
            
            $forecast = $demand_forecasts[$product_id];
            $daily_demand = $forecast['forecast'];
            
            // 计算安全库存
            $lead_time = $inventory['lead_time'] ?: 7;
            $service_level = 0.95; // 95%的服务水平
            $z_score = 1.65; // 95%对应的Z值
            
            // 假设需求标准差为预测值的20%
            $demand_std_dev = $daily_demand * 0.2;
            $safety_stock = $z_score * sqrt($lead_time) * $demand_std_dev;
            
            // 计算再订货点
            $reorder_point = ($daily_demand * $lead_time) + $safety_stock;
            
            // 计算经济订货批量 (EOQ)
            $ordering_cost = 50; // 每次订货成本
            $holding_cost_rate = 0.2; // 持有成本率
            $product_price = $this->get_product_price($product_id);
            $annual_demand = $daily_demand * 365;
            
            $eoq = sqrt((2 * $annual_demand * $ordering_cost) / ($holding_cost_rate * $product_price));
            
            // 当前库存水平
            $current_stock = $inventory['current_stock'];
            
            // 判断是否需要补货
            $needs_reorder = false;
            $reorder_quantity = 0;
            
            if ($current_stock <= $reorder_point) {
                $needs_reorder = true;
                $reorder_quantity = max($eoq, $reorder_point - $current_stock + $safety_stock);
                
                // 考虑供应商最小订单量
                $min_order_qty = $this->get_supplier_min_order($inventory['supplier_id']);
                if ($min_order_qty > 0 && $reorder_quantity < $min_order_qty) {
                    $reorder_quantity = $min_order_qty;
                }
                
                // 考虑包装规格
                $pack_size = $this->get_product_pack_size($product_id);
                if ($pack_size > 1) {
                    $reorder_quantity = ceil($reorder_quantity / $pack_size) * $pack_size;
                }
            }
            
            $suggestions[$product_id] = array(
                'product_id' => $product_id,
                'product_name' => get_the_title($product_id),
                'current_stock' => $current_stock,
                'daily_demand_forecast' => $daily_demand,
                'safety_stock' => round($safety_stock, 2),
                'reorder_point' => round($reorder_point, 2),
                'eoq' => round($eoq, 2),
                'needs_reorder' => $needs_reorder,
                'suggested_quantity' => $needs_reorder ? round($reorder_quantity) : 0,
                'lead_time_days' => $lead_time,
                'stock_out_risk' => $this->calculate_stockout_risk($current_stock, $daily_demand, $lead_time),
                'forecast_method' => $forecast['method']
            );
        }
        
        // 按缺货风险排序
        usort($suggestions, function($a, $b) {
            return $b['stock_out_risk'] <=> $a['stock_out_risk'];
        });
        
        return $suggestions;
    }
    
    /**
     * 计算缺货风险
     */
    private function calculate_stockout_risk($current_stock, $daily_demand, $lead_time) {
        if ($daily_demand <= 0) return 0;
        
        $days_of_supply = $current_stock / $daily_demand;
        $risk = 0;
        
        if ($days_of_supply < $lead_time) {
            $risk = 1 - ($days_of_supply / $lead_time);
        }
        
        return round($risk * 100, 2); // 返回百分比
    }
    
    /**
     * 获取产品价格
     */
    private function get_product_price($product_id) {
        $product = wc_get_product($product_id);
        return $product ? $product->get_price() : 0;
    }
    
    /**
     * 获取供应商最小订单量
     */
    private function get_supplier_min_order($supplier_id) {
        if (!$supplier_id) return 0;
        return get_post_meta($supplier_id, '_min_order_quantity', true) ?: 0;
    }
    
    /**
     * 获取产品包装规格
     */
    private function get_product_pack_size($product_id) {
        return get_post_meta($product_id, '_pack_size', true) ?: 1;
    }
    
    /**
     * 应用补货决策 - 创建采购订单
     */
    public function create_purchase_order($product_id, $quantity, $supplier_id) {
        // 创建采购订单自定义帖子类型
        $purchase_order_data = array(
            'post_title'    => '采购订单 - ' . date('Y-m-d H:i:s'),
            'post_content'  => '',
            'post_status'   => 'publish',
            'post_type'     => 'purchase_order',
            'meta_input'    => array(
                '_supplier_id'      => $supplier_id,
                '_product_id'       => $product_id,
                '_quantity'         => $quantity,
                '_order_date'       => current_time('mysql'),
                '_expected_date'    => date('Y-m-d', strtotime('+' . get_post_meta($product_id, '_lead_time_days', true) . ' days')),
                '_status'           => 'pending',
                '_auto_generated'   => true
            )
        );
        
        $order_id = wp_insert_post($purchase_order_data);
        
        if ($order_id) {
            // 发送通知
            $this->send_replenishment_notification($order_id, $product_id, $quantity);
            
            // 更新产品元数据
            update_post_meta($product_id, '_last_auto_reorder_date', current_time('mysql'));
            update_post_meta($product_id, '_last_auto_reorder_qty', $quantity);
            
            return $order_id;
        }
        
        return false;
    }
    
    /**
     * 发送补货通知
     */
    private function send_replenishment_notification($order_id, $product_id, $quantity) {
        $product_name = get_the_title($product_id);
        $admin_email = get_option('admin_email');
        
        $subject = '自动补货通知: ' . $product_name;
        $message = "系统已自动生成采购订单 #{$order_id}nn";
        $message .= "产品: {$product_name}n";
        $message .= "数量: {$quantity}n";
        $message .= "时间: " . date('Y-m-d H:i:s') . "nn";
        $message .= "请登录管理后台查看详情。";
        
        wp_mail($admin_email, $subject, $message);
    }
}
?>

库存管理模块

实时库存监控与预警

<?php
/**
 * 库存管理器类
 * 负责库存的实时监控和预警
 */

class InventoryManager {
    
    /**
     * 订单完成后更新库存
     */
    public function update_inventory_after_order($order_id) {
        $order = wc_get_order($order_id);
        
        foreach ($order->get_items() as $item) {
            $product_id = $item->get_product_id();
            $quantity = $item->get_quantity();
            
            // 获取当前库存
            $product = wc_get_product($product_id);
            if ($product && $product->managing_stock()) {
                $current_stock = $product->get_stock_quantity();
                $new_stock = $current_stock - $quantity;
                
                // 更新库存
                wc_update_product_stock($product_id, $new_stock);
                
                // 检查是否需要预警
                $this->check_stock_alert($product_id, $new_stock);
            }
        }
    }
    
    /**
     * 检查库存预警
     */
    private function check_stock_alert($product_id, $current_stock) {
        $low_stock_amount = get_post_meta($product_id, '_low_stock_amount', true);
        $reorder_level = get_post_meta($product_id, '_reorder_level', true);
        
        if (!$low_stock_amount) {
            $low_stock_amount = 2; // 默认值
        }
        
        // 触发低库存预警
        if ($current_stock <= $low_stock_amount && $current_stock > 0) {
            $this->send_low_stock_alert($product_id, $current_stock, 'low_stock');
        }
        
        // 触发缺货预警
        if ($current_stock <= 0) {
            $this->send_low_stock_alert($product_id, $current_stock, 'out_of_stock');
        }
        
        // 触发再订货点预警
        if ($reorder_level && $current_stock <= $reorder_level) {
            $this->send_low_stock_alert($product_id, $current_stock, 'reorder_point');
        }
    }
    
    /**
     * 发送库存预警
     */
    private function send_low_stock_alert($product_id, $current_stock, $alert_type) {
        $product_name = get_the_title($product_id);
        $admin_email = get_option('admin_email');
        
        $alert_types = array(
            'low_stock' => '低库存预警',
            'out_of_stock' => '缺货预警',
            'reorder_point' => '再订货点预警'
        );
        
        $subject = $alert_types[$alert_type] . ': ' . $product_name;
        $message = "产品: {$product_name}n";
        $message .= "当前库存: {$current_stock}n";
        $message .= "预警类型: " . $alert_types[$alert_type] . "n";
        $message .= "时间: " . date('Y-m-d H:i:s') . "nn";
        
        if ($alert_type == 'reorder_point') {
            $message .= "建议立即检查补货建议。n";
        }
        
        wp_mail($admin_email, $subject, $message);
        
        // 记录预警日志
        $this->log_alert($product_id, $alert_type, $current_stock);
    }
    
    /**
     * 记录预警日志
     */
    private function log_alert($product_id, $alert_type, $current_stock) {
        global $wpdb;
        
        $wpdb->insert(
            $wpdb->prefix . 'fsc_stock_alerts',
            array(
                'product_id' => $product_id,
                'alert_type' => $alert_type,
                'stock_level' => $current_stock,
                'alert_date' => current_time('mysql')
            )
        );
    }
    
    /**
     * 获取库存周转率
     */
    public function calculate_inventory_turnover($product_id, $period_days = 30) {
        global $wpdb;
        
        $start_date = date('Y-m-d', strtotime("-{$period_days} days"));
        
        // 计算期间销售成本
        $sales_query = $wpdb->prepare("
            SELECT SUM(meta.meta_value * items.product_qty) as total_cost
            FROM {$wpdb->prefix}woocommerce_order_items as items
            INNER JOIN {$wpdb->prefix}woocommerce_order_itemmeta as meta 
                ON items.order_item_id = meta.order_item_id
            INNER JOIN {$wpdb->posts} as orders 
                ON items.order_id = orders.ID
            WHERE 
                meta.meta_key = '_product_id' AND
                meta.meta_value = %d AND
                orders.post_status = 'wc-completed' AND
                orders.post_date >= %s
        ", $product_id, $start_date);
        
        $sales_cost = $wpdb->get_var($sales_query);
        
        // 计算平均库存价值
        $product = wc_get_product($product_id);
        $product_cost = get_post_meta($product_id, '_cost_price', true) ?: $product->get_price();
        $current_stock = $product->get_stock_quantity();
        
        // 假设期初库存与当前库存相同(简化计算)
        $average_inventory_value = ($current_stock * $product_cost) / 2;
        
        if ($average_inventory_value > 0) {
            $turnover = $sales_cost / $average_inventory_value;
            return round($turnover, 2);
        }
        
        return 0;
    }
}
?>

管理界面与可视化

WordPress后台管理页面

<?php
/**
 * 管理界面类
 * 创建WordPress后台管理页面
 */

class AdminInterface {
    
    /**
     * 添加管理菜单
     */
    public function add_admin_menus() {
        // 主菜单
        add_menu_page(
            '柔性供应链管理',
            '供应链管理',
            'manage_options',
            'fsc-dashboard',
            array($this, 'render_dashboard_page'),
            'dashicons-networking',
            56
        );
        
        // 子菜单
        add_submenu_page(
            'fsc-dashboard',
            '智能补货建议',
            '补货建议',
            'manage_options',
            'fsc-replenishment',
            array($this, 'render_replenishment_page')
        );
        
        add_submenu_page(
            'fsc-dashboard',
            '库存监控',
            '库存监控',
            'manage_options',
            'fsc-inventory',
            array($this, 'render_inventory_page')
        );
        
        add_submenu_page(
            'fsc-dashboard',
            '需求预测分析',
            '需求预测',
            'manage_options',
            'fsc-forecast',
            array($this, 'render_forecast_page')
        );
        
        add_submenu_page(
            'fsc-dashboard',
            '系统设置',
            '设置',
            'manage_options',
            'fsc-settings',
            array($this, 'render_settings_page')
        );
    }
    
    /**
     * 渲染仪表板页面
     */
    public function render_dashboard_page() {
        ?>
        <div class="wrap fsc-dashboard">
            <h1>柔性供应链管理系统</h1>
            
            <div class="fsc-stats-container">
                <div class="fsc-stat-box">
                    <h3>库存状态</h3>
                    <div class="stat-number" id="total-inventory-value">加载中...</div>
                    <p>总库存价值</p>
                </div>
                
                <div class="fsc-stat-box">
                    <h3>需要补货</h3>
                    <div class="stat-number" id="products-needing-reorder">0</div>
                    <p>个产品</p>
                </div>
                
                <div class="fsc-stat-box">
                    <h3>缺货风险</h3>
                    <div class="stat-number" id="high-risk-products">0</div>
                    <p>高风险产品</p>
                </div>
                
                <div class="fsc-stat-box">
                    <h3>平均周转率</h3>
                    <div class="stat-number" id="avg-turnover-rate">0</div>
                    <p>次/月</p>
                </div>
            </div>
            
            <div class="fsc-charts-container">
                <div class="fsc-chart-box">
                    <h3>库存水平分布</h3>
                    <canvas id="inventory-level-chart" width="400" height="200"></canvas>
                </div>
                
                <div class="fsc-chart-box">
                    <h3>补货建议趋势</h3>
                    <canvas id="replenishment-trend-chart" width="400" height="200"></canvas>
                </div>
            </div>
            
            <div class="fsc-recent-alerts">
                <h3>最近预警</h3>
                <table class="wp-list-table widefat fixed striped">
                    <thead>
                        <tr>
                            <th>产品</th>
                            <th>预警类型</th>
                            <th>库存水平</th>
                            <th>时间</th>
                            <th>操作</th>
                        </tr>
                    </thead>
                    <tbody id="recent-alerts-list">
                        <!-- 通过AJAX加载 -->
                    </tbody>
                </table>
            </div>
        </div>
        
        <script>
        jQuery(document).ready(function($) {
            // 加载仪表板数据
            loadDashboardData();
            
            function loadDashboardData() {
                $.ajax({
                    url: ajaxurl,
                    type: 'POST',
                    data: {
                        action: 'fsc_get_dashboard_data'
                    },
                    success: function(response) {
                        if (response.success) {
                            updateDashboard(response.data);
                        }
                    }
                });
            }
            
            function updateDashboard(data) {
                $('#total-inventory-value').text(data.total_inventory_value);
                $('#products-needing-reorder').text(data.products_needing_reorder);
                $('#high-risk-products').text(data.high_risk_products);
                $('#avg-turnover-rate').text(data.avg_turnover_rate);
                
                // 更新图表
                updateCharts(data.charts);
                
                // 更新预警列表
                updateAlertsList(data.recent_alerts);
            }
        });
        </script>
        <?php
    }
    
    /**
     * 渲染补货建议页面
     */
    public function render_replenishment_page() {
        $replenishment_engine = new ReplenishmentEngine();
        $data_collector = new DataCollector();
        
        $inventory_data = $data_collector->get_current_inventory();
        $sales_data = $data_collector->get_recent_sales_data(30);
        
        $demand_forecaster = new DemandForecaster();
        $forecasts = $demand_forecaster->calculate_forecast($sales_data);
        
        $suggestions = $replenishment_engine->calculate_replenishment($inventory_data, $forecasts);
        ?>
        <div class="wrap">
            <h1>智能补货建议</h1>
            
            <div class="fsc-filters">
                <select id="filter-supplier">
                    <option value="">所有供应商</option>
                    <?php
                    $suppliers = get_posts(array(
                        'post_type' => 'supplier',
                        'posts_per_page' => -1
                    ));
                    foreach ($suppliers as $supplier) {
                        echo '<option value="' . $supplier->ID . '">' . $supplier->post_title . '</option>';
                    }
                    ?>
                </select>
                
                <select id="filter-risk">
                    <option value="">所有风险等级</option>
                    <option value="high">高风险 (>70%)</option>
                    <option value="medium">中风险 (30-70%)</option>
                    <option value="low">低风险 (<30%)</option>
                </select>
                
                <button class="button button-primary" onclick="applyFilters()">筛选</button>
                <button class="button" onclick="exportSuggestions()">导出建议</button>
                <button class="button button-secondary" onclick="runReplenishmentCheck()">立即运行补货检查</button>
            </div>
            
            <table class="wp-list-table widefat fixed striped">
                <thead>
                    <tr>
                        <th>产品</th>
                        <th>当前库存</th>
                        <th>日均需求</th>
                        <th>安全库存</th>
                        <th>再订货点</th>
                        <th>经济订货量</th>
                        <th>建议补货量</th>
                        <th>缺货风险</th>
                        <th>操作</th>
                    </tr>
                </thead>
                <tbody>
                    <?php foreach ($suggestions as $suggestion): ?>
                    <tr class="risk-level-<?php echo $this->get_risk_level($suggestion['stock_out_risk']); ?>">
                        <td>
                            <strong><?php echo esc_html($suggestion['product_name']); ?></strong><br>
                            <small>ID: <?php echo $suggestion['product_id']; ?></small>
                        </td>
                        <td><?php echo $suggestion['current_stock']; ?></td>
                        <td><?php echo $suggestion['daily_demand_forecast']; ?></td>
                        <td><?php echo $suggestion['safety_stock']; ?></td>
                        <td><?php echo $suggestion['reorder_point']; ?></td>
                        <td><?php echo $suggestion['eoq']; ?></td>
                        <td>
                            <?php if ($suggestion['needs_reorder']): ?>
                            <span class="reorder-needed"><?php echo $suggestion['suggested_quantity']; ?></span>
                            <?php else: ?>
                            <span class="no-reorder">-</span>
                            <?php endif; ?>
                        </td>
                        <td>
                            <div class="risk-indicator">
                                <div class="risk-bar" style="width: <?php echo min(100, $suggestion['stock_out_risk']); ?>%"></div>
                                <span><?php echo $suggestion['stock_out_risk']; ?>%</span>
                            </div>
                        </td>
                        <td>
                            <?php if ($suggestion['needs_reorder']): ?>
                            <button class="button button-small button-primary" 
                                    onclick="createPurchaseOrder(<?php echo $suggestion['product_id']; ?>, <?php echo $suggestion['suggested_quantity']; ?>)">
                                创建采购单
                            </button>
                            <?php endif; ?>
                            <button class="button button-small" 
                                    onclick="viewProductDetails(<?php echo $suggestion['product_id']; ?>)">
                                详情
                            </button>
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溯源库®作者

漳州柔性供应链服务有限公司 小批量订单定制化服务商( 投稿邮箱:vip@jiaochengku.com)
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