该题的matlab代码

以下是一个基于MATLAB的理发店服务过程仿的示例代码：

%设置
num_service_staff = 3; 服务员数量
arrival_prob = [1/2, 1/8 3/8]; % 顾客到概率
mean_service_time = 15; 平均理发时间
var_service_time =4; % 理发时间方差
simulation = 480; % 仿真时间（）

% 初始化
service = cell(1, num_staff);
for i = 1_service_staff
    service}.status = 'idle % 初始化服务员状态为空闲
end
_queue = []; % 顾队列
wait_times = []; % 记录每分钟的顾客等待时间

% 模拟时间流逝
for t = 1:simulation_duration
    % 顾客到达
    if rand() <_prob(1)
        % 一个顾客到达
        customer_service_time = absrnd(mean_service_time, var_service_time));
        customer_queue = [customer_queue, customer_service];
    elseif rand() < arrival_prob(2)
        % 两个顾客到
        for i = 1:2
            customer_service_time = abs(normrnd(mean_service_time, var_service_time));
            customer_queue = [customer_queue, customer_service_time];
        end
    end
    
    % 服务员分配工作
    for i = 1:num_service_staff
        if strcmp(service_staff{i}.status, 'idle') && ~isempty(customer_queue)
            service_staff{i}.status = 'busy';
            customer_service_time = customer_queue(1);
            customer_queue = customer_queue(2:end);
            service_staff{i}.remaining_service_time = customer_service_time;
        end
    end
    
    % 服务员工作
    for i = 1:num_service_staff
        if strcmp(service_staff{i}.status, 'busy')
            service_staff{i}.remaining_service_time = service_staff{i}.remaining_service_time - 1;
            if service_staff{i}.remaining_service_time == 0
                service_staff{i}.status = 'idle';
            end
        end
    end
    
    % 记录等待时间
    wait_times = [wait_times, max(0, length(customer_queue) - num_service_staff)];
end

% 计算服务员的工作效率和顾客的平均等待时间
avg_wait_time = mean(wait_times);
service_efficiency = (sum(wait_times) + num_service_staff * simulation_duration) / simulation_duration;

请注意，这只是一个基本的仿真示例，并且可能需要根据具体需求进行修改和优化。此代码可以计算出服务员的工作效率和顾客的平均等待时间。