// RPO示例
// RPO = 0：零数据丢失，需要实时同步
// RPO = 1小时：允许丢失1小时内的数据
// RPO = 24小时：允许丢失24小时内的数据

public class RPOExample {
    
    // RPO = 0：实时同步
    public class ZeroRPOSystem {
        // 主从实时同步
        // 任何写入立即同步到备份系统
        public void write(String key, String value) {
            primaryDB.write(key, value);
            backupDB.write(key, value); // 实时同步
        }
    }
    
    // RPO = 1小时：每小时备份
    public class OneHourRPOSystem {
        // 每小时备份一次
        public void scheduleBackup() {
            scheduler.scheduleAtFixedRate(() -> {
                backupDB.backup(primaryDB);
            }, 0, 1, TimeUnit.HOURS);
        }
    }
    
    // RPO = 24小时：每天备份
    public class DailyRPOSystem {
        // 每天备份一次
        public void scheduleBackup() {
            scheduler.scheduleAtFixedRate(() -> {
                backupDB.backup(primaryDB);
            }, 0, 1, TimeUnit.DAYS);
        }
    }
}

// RTO示例
// RTO = 0：零停机，自动故障切换
// RTO = 5分钟：5分钟内恢复服务
// RTO = 1小时：1小时内恢复服务

public class RTOExample {
    
    // RTO = 0：自动故障切换
    public class ZeroRTOSystem {
        private FailoverManager failoverManager;
        
        public void handleFailure(String failedDC) {
            // 自动检测故障
            if (detectFailure(failedDC)) {
                // 自动切换到备用系统
                failoverManager.autoFailover(failedDC);
                // 服务不中断
            }
        }
    }
    
    // RTO = 5分钟：快速恢复
    public class FiveMinuteRTOSystem {
        private BackupSystem backupSystem;
        
        public void recover() {
            // 1. 启动备用系统（1分钟）
            backupSystem.start();
            
            // 2. 数据同步（2分钟）
            backupSystem.syncData();
            
            // 3. 切换流量（2分钟）
            switchTraffic();
            
            // 总时间：5分钟
        }
    }
    
    // RTO = 1小时：标准恢复
    public class OneHourRTOSystem {
        public void recover() {
            // 1. 评估损失（10分钟）
            // 2. 启动备用系统（20分钟）
            // 3. 数据恢复（20分钟）
            // 4. 验证和切换（10分钟）
            // 总时间：1小时
        }
    }
}

// 业务影响分析
public class BusinessImpactAnalysis {
    
    // 业务系统分类
    public enum SystemCriticality {
        CRITICAL,    // 关键系统：RPO=0, RTO=0
        IMPORTANT,   // 重要系统：RPO<1h, RTO<30min
        NORMAL,      // 一般系统：RPO<24h, RTO<4h
        LOW          // 低优先级：RPO<7d, RTO<24h
    }
    
    // 业务影响评估
    public class ImpactAssessment {
        private SystemCriticality criticality;
        private double revenueLossPerHour;  // 每小时收入损失
        private double customerImpact;     // 客户影响度
        private double reputationImpact;   // 声誉影响度
        
        public RPOAndRTO calculateRPOAndRTO() {
            switch (criticality) {
                case CRITICAL:
                    return new RPOAndRTO(0, 0);  // 零数据丢失，零停机
                case IMPORTANT:
                    return new RPOAndRTO(3600, 1800);  // 1小时RPO，30分钟RTO
                case NORMAL:
                    return new RPOAndRTO(86400, 14400);  // 24小时RPO，4小时RTO
                case LOW:
                    return new RPOAndRTO(604800, 86400);  // 7天RPO，24小时RTO
                default:
                    return new RPOAndRTO(86400, 14400);
            }
        }
    }
    
    // RPO/RTO定义
    public class RPOAndRTO {
        private long rpoSeconds;  // RPO（秒）
        private long rtoSeconds;   // RTO（秒）
        
        public RPOAndRTO(long rpoSeconds, long rtoSeconds) {
            this.rpoSeconds = rpoSeconds;
            this.rtoSeconds = rtoSeconds;
        }
        
        public long getRPOHours() {
            return rpoSeconds / 3600;
        }
        
        public long getRTOMinutes() {
            return rtoSeconds / 60;
        }
    }
}

// 成本效益分析
public class CostBenefitAnalysis {
    
    // 容灾成本计算
    public class DisasterRecoveryCost {
        private double infrastructureCost;    // 基础设施成本
        private double softwareCost;         // 软件成本
        private double maintenanceCost;      // 维护成本
        private double trainingCost;         // 培训成本
        
        public double calculateTotalCost() {
            return infrastructureCost + softwareCost + 
                   maintenanceCost + trainingCost;
        }
    }
    
    // 业务损失计算
    public class BusinessLoss {
        private double revenueLossPerHour;
        private long downtimeHours;
        private double customerLoss;
        private double reputationLoss;
        
        public double calculateTotalLoss() {
            double revenueLoss = revenueLossPerHour * downtimeHours;
            return revenueLoss + customerLoss + reputationLoss;
        }
    }
    
    // ROI计算
    public class ROI {
        public double calculateROI(DisasterRecoveryCost cost, 
                                   BusinessLoss loss) {
            // ROI = (避免的损失 - 容灾成本) / 容灾成本
            double avoidedLoss = loss.calculateTotalLoss();
            double totalCost = cost.calculateTotalCost();
            
            if (totalCost == 0) {
                return 0;
            }
            
            return (avoidedLoss - totalCost) / totalCost;
        }
    }
}

import java.util.concurrent.ScheduledExecutorService;
import java.util.concurrent.Executors;
import java.util.concurrent.TimeUnit;

// RPO实现方案
public class RPOImplementation {
    
    private ScheduledExecutorService scheduler;
    private Database primaryDB;
    private Database backupDB;
    private long rpoSeconds;
    
    public RPOImplementation(Database primaryDB, Database backupDB, long rpoSeconds) {
        this.primaryDB = primaryDB;
        this.backupDB = backupDB;
        this.rpoSeconds = rpoSeconds;
        this.scheduler = Executors.newScheduledThreadPool(1);
        startBackup();
    }
    
    private void startBackup() {
        // 根据RPO计算备份频率
        long backupInterval = rpoSeconds / 2;  // 备份间隔为RPO的一半
        
        if (rpoSeconds == 0) {
            // RPO = 0：实时同步
            startRealtimeSync();
        } else {
            // 定期备份
            scheduler.scheduleAtFixedRate(() -> {
                performBackup();
            }, 0, backupInterval, TimeUnit.SECONDS);
        }
    }
    
    // 实时同步
    private void startRealtimeSync() {
        // 主从实时同步
        primaryDB.addWriteListener((key, value) -> {
            backupDB.write(key, value);
        });
    }
    
    // 定期备份
    private void performBackup() {
        // 1. 创建快照
        Snapshot snapshot = primaryDB.createSnapshot();
        
        // 2. 传输到备份系统
        backupDB.restore(snapshot);
        
        // 3. 验证备份
        validateBackup();
    }
    
    private void validateBackup() {
        // 验证备份完整性
        if (!backupDB.validate()) {
            // 备份失败，告警
            alertManager.sendAlert("Backup validation failed");
        }
    }
}

import java.util.concurrent.CompletableFuture;

// RTO实现方案
public class RTOImplementation {
    
    private FailoverManager failoverManager;
    private BackupSystem backupSystem;
    private long rtoSeconds;
    
    public RTOImplementation(long rtoSeconds) {
        this.rtoSeconds = rtoSeconds;
        this.failoverManager = new FailoverManager();
        this.backupSystem = new BackupSystem();
    }
    
    public void recover(String failedSystem) {
        long startTime = System.currentTimeMillis();
        
        if (rtoSeconds == 0) {
            // RTO = 0：自动故障切换
            autoFailover(failedSystem);
        } else {
            // 快速恢复流程
            CompletableFuture<Void> recovery = CompletableFuture
                .runAsync(() -> startBackupSystem())
                .thenRunAsync(() -> syncData())
                .thenRunAsync(() -> validateSystem())
                .thenRunAsync(() -> switchTraffic());
            
            recovery.join();
            
            long elapsedTime = (System.currentTimeMillis() - startTime) / 1000;
            if (elapsedTime > rtoSeconds) {
                alertManager.sendAlert("RTO exceeded: " + elapsedTime + "s");
            }
        }
    }
    
    // 自动故障切换
    private void autoFailover(String failedSystem) {
        // 1. 检测故障（自动）
        if (failoverManager.detectFailure(failedSystem)) {
            // 2. 自动切换（< 1秒）
            failoverManager.switchToBackup(failedSystem);
            // 3. 服务不中断
        }
    }
    
    // 启动备用系统
    private void startBackupSystem() {
        backupSystem.start();
    }
    
    // 数据同步
    private void syncData() {
        backupSystem.syncData();
    }
    
    // 验证系统
    private void validateSystem() {
        if (!backupSystem.validate()) {
            throw new RuntimeException("System validation failed");
        }
    }
    
    // 切换流量
    private void switchTraffic() {
        trafficManager.switchToBackup();
    }
}

// 容灾演练计划
public class DisasterRecoveryDrillPlan {
    
    // 演练类型
    public enum DrillType {
        TABLE_TOP,        // 桌面演练：讨论和评估
        WALKTHROUGH,      // 走查演练：流程验证
        SIMULATION,       // 模拟演练：模拟故障场景
        FULL_SCALE        // 全规模演练：真实故障切换
    }
    
    // 演练计划
    public class DrillPlan {
        private DrillType type;
        private String scenario;
        private List<String> participants;
        private Date scheduledDate;
        private long expectedDuration;
        private List<String> objectives;
        
        public DrillPlan(DrillType type, String scenario) {
            this.type = type;
            this.scenario = scenario;
            this.participants = new ArrayList<>();
            this.objectives = new ArrayList<>();
        }
        
        public void addObjective(String objective) {
            objectives.add(objective);
        }
        
        public void addParticipant(String participant) {
            participants.add(participant);
        }
    }
    
    // 创建演练计划
    public DrillPlan createDrillPlan() {
        DrillPlan plan = new DrillPlan(DrillType.SIMULATION, "数据中心故障");
        
        // 演练目标
        plan.addObjective("验证RPO目标：数据丢失 < 1小时");
        plan.addObjective("验证RTO目标：服务恢复 < 30分钟");
        plan.addObjective("验证故障切换流程");
        plan.addObjective("验证数据恢复流程");
        
        // 参与人员
        plan.addParticipant("运维团队");
        plan.addParticipant("开发团队");
        plan.addParticipant("业务团队");
        
        plan.scheduledDate = new Date();
        plan.expectedDuration = 3600; // 1小时
        
        return plan;
    }
}

import java.util.concurrent.atomic.AtomicInteger;

// 容灾演练执行
public class DisasterRecoveryDrillExecutor {
    
    private DrillPlan plan;
    private DrillLogger logger;
    private AtomicInteger stepCounter = new AtomicInteger(0);
    
    public DisasterRecoveryDrillExecutor(DrillPlan plan) {
        this.plan = plan;
        this.logger = new DrillLogger();
    }
    
    public DrillResult execute() {
        logger.log("开始容灾演练: " + plan.getScenario());
        long startTime = System.currentTimeMillis();
        
        try {
            // 1. 演练前检查
            preDrillCheck();
            
            // 2. 触发故障场景
            triggerFailure();
            
            // 3. 故障检测
            detectFailure();
            
            // 4. 启动恢复流程
            startRecovery();
            
            // 5. 数据恢复
            recoverData();
            
            // 6. 服务恢复
            recoverService();
            
            // 7. 验证恢复结果
            validateRecovery();
            
            // 8. 演练后清理
            postDrillCleanup();
            
            long elapsedTime = System.currentTimeMillis() - startTime;
            return new DrillResult(true, elapsedTime, logger.getLogs());
            
        } catch (Exception e) {
            logger.logError("演练失败: " + e.getMessage());
            return new DrillResult(false, 0, logger.getLogs());
        }
    }
    
    // 演练前检查
    private void preDrillCheck() {
        logger.log("步骤 " + stepCounter.incrementAndGet() + ": 演练前检查");
        // 1. 检查备份系统状态
        // 2. 检查网络连接
        // 3. 检查人员到位
        // 4. 检查文档和工具
    }
    
    // 触发故障场景
    private void triggerFailure() {
        logger.log("步骤 " + stepCounter.incrementAndGet() + ": 触发故障场景");
        // 模拟故障：停止主系统
        primarySystem.stop();
    }
    
    // 故障检测
    private void detectFailure() {
        logger.log("步骤 " + stepCounter.incrementAndGet() + ": 故障检测");
        long detectionTime = System.currentTimeMillis();
        // 检测故障时间
        logger.log("故障检测时间: " + (System.currentTimeMillis() - detectionTime) + "ms");
    }
    
    // 启动恢复流程
    private void startRecovery() {
        logger.log("步骤 " + stepCounter.incrementAndGet() + ": 启动恢复流程");
        long recoveryStartTime = System.currentTimeMillis();
        // 记录恢复开始时间
    }
    
    // 数据恢复
    private void recoverData() {
        logger.log("步骤 " + stepCounter.incrementAndGet() + ": 数据恢复");
        // 1. 检查数据完整性
        // 2. 恢复数据
        // 3. 验证数据
    }
    
    // 服务恢复
    private void recoverService() {
        logger.log("步骤 " + stepCounter.incrementAndGet() + ": 服务恢复");
        // 1. 启动备用系统
        // 2. 切换流量
        // 3. 验证服务
    }
    
    // 验证恢复结果
    private void validateRecovery() {
        logger.log("步骤 " + stepCounter.incrementAndGet() + ": 验证恢复结果");
        // 1. 验证RPO：检查数据丢失量
        // 2. 验证RTO：检查恢复时间
        // 3. 验证服务功能
    }
    
    // 演练后清理
    private void postDrillCleanup() {
        logger.log("步骤 " + stepCounter.incrementAndGet() + ": 演练后清理");
        // 1. 恢复主系统
        // 2. 切换回主系统
        // 3. 清理测试数据
    }
}

// 故障场景设计
public class FailureScenario {
    
    // 故障类型
    public enum FailureType {
        DATACENTER_FAILURE,    // 数据中心故障
        NETWORK_PARTITION,      // 网络分区
        DATABASE_FAILURE,       // 数据库故障
        APPLICATION_FAILURE,    // 应用故障
        STORAGE_FAILURE,        // 存储故障
        POWER_FAILURE           // 电力故障
    }
    
    // 故障场景
    public class Scenario {
        private FailureType type;
        private String description;
        private double probability;  // 发生概率
        private long expectedRTO;    // 预期RTO
        private long expectedRPO;    // 预期RPO
        
        public Scenario(FailureType type, String description) {
            this.type = type;
            this.description = description;
        }
    }
    
    // 创建故障场景
    public List<Scenario> createScenarios() {
        List<Scenario> scenarios = new ArrayList<>();
        
        // 场景1：数据中心故障
        Scenario scenario1 = new Scenario(
            FailureType.DATACENTER_FAILURE,
            "主数据中心完全故障，包括所有服务器、网络和存储"
        );
        scenario1.probability = 0.01;  // 1%概率
        scenario1.expectedRTO = 1800;  // 30分钟RTO
        scenario1.expectedRPO = 3600;   // 1小时RPO
        scenarios.add(scenario1);
        
        // 场景2：网络分区
        Scenario scenario2 = new Scenario(
            FailureType.NETWORK_PARTITION,
            "主数据中心与备份数据中心网络中断"
        );
        scenario2.probability = 0.05;  // 5%概率
        scenario2.expectedRTO = 300;   // 5分钟RTO
        scenario2.expectedRPO = 0;      // 0 RPO（实时同步）
        scenarios.add(scenario2);
        
        // 场景3：数据库故障
        Scenario scenario3 = new Scenario(
            FailureType.DATABASE_FAILURE,
            "主数据库故障，无法提供服务"
        );
        scenario3.probability = 0.1;  // 10%概率
        scenario3.expectedRTO = 600;   // 10分钟RTO
        scenario3.expectedRPO = 0;     // 0 RPO（主从同步）
        scenarios.add(scenario3);
        
        return scenarios;
    }
}

// 场景执行器
public class ScenarioExecutor {
    
    public DrillResult executeScenario(FailureScenario.Scenario scenario) {
        System.out.println("执行场景: " + scenario.getDescription());
        
        switch (scenario.getType()) {
            case DATACENTER_FAILURE:
                return executeDataCenterFailure();
            case NETWORK_PARTITION:
                return executeNetworkPartition();
            case DATABASE_FAILURE:
                return executeDatabaseFailure();
            default:
                return executeGenericFailure();
        }
    }
    
    // 执行数据中心故障场景
    private DrillResult executeDataCenterFailure() {
        // 1. 停止主数据中心所有服务
        primaryDataCenter.stopAll();
        
        // 2. 检测故障
        long detectionTime = detectFailure();
        
        // 3. 启动备用数据中心
        long recoveryStartTime = System.currentTimeMillis();
        backupDataCenter.start();
        
        // 4. 数据恢复
        backupDataCenter.restoreData();
        
        // 5. 切换流量
        trafficManager.switchToBackup();
        
        // 6. 验证恢复
        long recoveryTime = System.currentTimeMillis() - recoveryStartTime;
        boolean success = validateRecovery();
        
        return new DrillResult(success, recoveryTime, null);
    }
    
    // 执行网络分区场景
    private DrillResult executeNetworkPartition() {
        // 1. 模拟网络中断
        networkManager.disconnect(primaryDC, backupDC);
        
        // 2. 检测分区
        detectPartition();
        
        // 3. 切换到本地模式
        switchToLocalMode();
        
        // 4. 验证服务可用性
        boolean success = validateService();
        
        return new DrillResult(success, 0, null);
    }
    
    // 执行数据库故障场景
    private DrillResult executeDatabaseFailure() {
        // 1. 停止主数据库
        primaryDatabase.stop();
        
        // 2. 自动切换到从数据库
        long switchTime = switchToSlave();
        
        // 3. 验证数据一致性
        boolean success = validateDataConsistency();
        
        return new DrillResult(success, switchTime, null);
    }
}

// 演练评估
public class DrillEvaluation {
    
    // 评估指标
    public class EvaluationMetrics {
        private long actualRTO;      // 实际RTO
        private long targetRTO;      // 目标RTO
        private long actualRPO;      // 实际RPO
        private long targetRPO;      // 目标RPO
        private boolean rtoMet;     // RTO是否达标
        private boolean rpoMet;      // RPO是否达标
        private List<String> issues; // 发现的问题
        
        public EvaluationMetrics(long targetRTO, long targetRPO) {
            this.targetRTO = targetRTO;
            this.targetRPO = targetRPO;
            this.issues = new ArrayList<>();
        }
        
        public void evaluate(long actualRTO, long actualRPO) {
            this.actualRTO = actualRTO;
            this.actualRPO = actualRPO;
            
            this.rtoMet = actualRTO <= targetRTO;
            this.rpoMet = actualRPO <= targetRPO;
            
            if (!rtoMet) {
                issues.add("RTO未达标: 实际" + actualRTO + "s, 目标" + targetRTO + "s");
            }
            
            if (!rpoMet) {
                issues.add("RPO未达标: 实际" + actualRPO + "s, 目标" + targetRPO + "s");
            }
        }
        
        public EvaluationReport generateReport() {
            return new EvaluationReport(
                rtoMet && rpoMet,
                actualRTO, targetRTO,
                actualRPO, targetRPO,
                issues
            );
        }
    }
    
    // 评估报告
    public class EvaluationReport {
        private boolean passed;
        private long actualRTO;
        private long targetRTO;
        private long actualRPO;
        private long targetRPO;
        private List<String> issues;
        private List<String> recommendations;
        
        public EvaluationReport(boolean passed, long actualRTO, long targetRTO,
                               long actualRPO, long targetRPO, List<String> issues) {
            this.passed = passed;
            this.actualRTO = actualRTO;
            this.targetRTO = targetRTO;
            this.actualRPO = actualRPO;
            this.targetRPO = targetRPO;
            this.issues = issues;
            this.recommendations = new ArrayList<>();
        }
        
        public void addRecommendation(String recommendation) {
            recommendations.add(recommendation);
        }
    }
}

// 持续改进
public class ContinuousImprovement {
    
    // 改进计划
    public class ImprovementPlan {
        private String issue;
        private String rootCause;
        private String solution;
        private String owner;
        private Date targetDate;
        private String status;
        
        public ImprovementPlan(String issue, String rootCause, String solution) {
            this.issue = issue;
            this.rootCause = rootCause;
            this.solution = solution;
            this.status = "PENDING";
        }
    }
    
    // 创建改进计划
    public List<ImprovementPlan> createImprovementPlans(EvaluationReport report) {
        List<ImprovementPlan> plans = new ArrayList<>();
        
        if (!report.isPassed()) {
            // RTO未达标
            if (report.getActualRTO() > report.getTargetRTO()) {
                ImprovementPlan plan = new ImprovementPlan(
                    "RTO未达标",
                    "恢复流程不够自动化",
                    "实现自动故障切换，减少人工干预"
                );
                plan.owner = "运维团队";
                plan.targetDate = new Date(System.currentTimeMillis() + 30L * 24 * 3600 * 1000);
                plans.add(plan);
            }
            
            // RPO未达标
            if (report.getActualRPO() > report.getTargetRPO()) {
                ImprovementPlan plan = new ImprovementPlan(
                    "RPO未达标",
                    "备份频率不够高",
                    "提高备份频率，实现实时同步"
                );
                plan.owner = "DBA团队";
                plan.targetDate = new Date(System.currentTimeMillis() + 14L * 24 * 3600 * 1000);
                plans.add(plan);
            }
        }
        
        // 针对发现的问题创建改进计划
        for (String issue : report.getIssues()) {
            ImprovementPlan plan = new ImprovementPlan(
                issue,
                analyzeRootCause(issue),
                proposeSolution(issue)
            );
            plans.add(plan);
        }
        
        return plans;
    }
    
    private String analyzeRootCause(String issue) {
        // 分析根本原因
        return "需要进一步分析";
    }
    
    private String proposeSolution(String issue) {
        // 提出解决方案
        return "需要制定解决方案";
    }
}

// 电商系统RPO/RTO制定案例
public class ECommerceSystemRPOAndRTO {
    
    // 系统分类和RPO/RTO
    public class SystemRPOAndRTO {
        // 订单系统：关键系统
        public RPOAndRTO orderSystem() {
            // 业务影响：订单丢失直接影响收入
            // RPO = 0：零数据丢失（实时同步）
            // RTO = 0：零停机（自动切换）
            return new RPOAndRTO(0, 0);
        }
        
        // 支付系统：关键系统
        public RPOAndRTO paymentSystem() {
            // 业务影响：支付失败影响用户体验和资金安全
            // RPO = 0：零数据丢失
            // RTO = 0：零停机
            return new RPOAndRTO(0, 0);
        }
        
        // 商品系统：重要系统
        public RPOAndRTO productSystem() {
            // 业务影响：商品信息错误影响用户体验
            // RPO = 1小时：允许丢失1小时数据
            // RTO = 30分钟：30分钟内恢复
            return new RPOAndRTO(3600, 1800);
        }
        
        // 用户系统：重要系统
        public RPOAndRTO userSystem() {
            // 业务影响：用户信息丢失影响用户体验
            // RPO = 1小时
            // RTO = 30分钟
            return new RPOAndRTO(3600, 1800);
        }
        
        // 日志系统：一般系统
        public RPOAndRTO logSystem() {
            // 业务影响：日志丢失影响问题排查
            // RPO = 24小时：允许丢失1天日志
            // RTO = 4小时：4小时内恢复
            return new RPOAndRTO(86400, 14400);
        }
    }
}

// 完整演练案例
public class CompleteDrillCase {
    
    public void executeCompleteDrill() {
        // 1. 演练准备
        DrillPlan plan = prepareDrill();
        
        // 2. 演练执行
        DrillExecutor executor = new DrillExecutor(plan);
        DrillResult result = executor.execute();
        
        // 3. 演练评估
        DrillEvaluation evaluation = new DrillEvaluation();
        EvaluationReport report = evaluation.evaluate(result);
        
        // 4. 改进计划
        ContinuousImprovement improvement = new ContinuousImprovement();
        List<ImprovementPlan> plans = improvement.createImprovementPlans(report);
        
        // 5. 执行改进
        executeImprovements(plans);
        
        // 6. 下次演练
        scheduleNextDrill();
    }
    
    private DrillPlan prepareDrill() {
        DrillPlan plan = new DrillPlan(DrillType.SIMULATION, "数据中心故障");
        plan.addObjective("验证RPO: 数据丢失 < 1小时");
        plan.addObjective("验证RTO: 服务恢复 < 30分钟");
        return plan;
    }
    
    private void executeImprovements(List<ImprovementPlan> plans) {
        for (ImprovementPlan plan : plans) {
            // 执行改进计划
            System.out.println("执行改进: " + plan.getSolution());
        }
    }
    
    private void scheduleNextDrill() {
        // 安排下次演练（通常每季度一次）
        System.out.println("安排下次演练: 3个月后");
    }
}