用python代码实现以上问题

由于该问题的复杂度较高，需要进行大量的数学建模和算法设计。在这里，我提供一个简单的 Python 代码，展示如何使用贪心算法解决该问题。这里我们假设所有快递的派送地址在第一象限内。

import math

# 计算两个点之间的距离
def distance(x1, y1, x2, y2):
    return math.sqrt((x1 - x2) ** 2 + (y1 - y2) ** 2)

# 贪心算法确定业务员的派送顺序
def find_delivery_order(delivery_list, start_x, start_y):
    delivery_order = []
    while delivery_list:
        min_distance = float('inf')
        min_index = -1
        for i in range(len(delivery_list)):
            x, y, weight = delivery_list[i]
            d = distance(start_x, start_y, x, y)
            if d < min_distance:
                min_distance = d
                min_index = i
        delivery_order.append(delivery_list[min_index])
        start_x, start_y, _ = delivery_list.pop(min_index)
    return delivery_order

# 计算每个业务员的路程
def calculate_distance(delivery_order):
    total_distance = 0
    for i in range(len(delivery_order) - 1):
        x1, y1, _ = delivery_order[i]
        x2, y2, _ = delivery_order[i+1]
        total_distance += distance(x1, y1, x2, y2)
    return total_distance

# 将所有快递按照派送地址分组
def group_deliveries(delivery_list, max_weight=25):
    groups = []
    group = []
    total_weight = 0
    for delivery in delivery_list:
        x, y, weight = delivery
        if total_weight + weight > max_weight:
            groups.append(group)
            group = []
            total_weight = 0
        group.append(delivery)
        total_weight += weight
    if group:
        groups.append(group)
    return groups

# 计算需要的业务员数量
def calculate_num_deliverymen(delivery_list, max_weight=25, max_working_hours=6):
    num_deliveries = len(delivery_list)
    max_num_deliveries = max_weight * (max_working_hours * 60 / 10)
    return math.ceil(num_deliveries / max_num_deliveries)

# 模拟运行
def run(delivery_list):
    # 公司总部位于坐标原点
    start_x = 0
    start_y = 0

    # 将所有快递按照派送地址分组
    groups = group_deliveries(delivery_list)

    # 计算需要的业务员数量
    num_deliverymen = calculate_num_deliverymen(delivery_list)

    # 分配快递给每个业务员
    deliverymen = [[] for _ in range(num_deliverymen)]
    for i in range(len(groups)):
        deliveryman_index = i % num_deliverymen
        deliveryman = deliverymen[deliveryman_index]
        deliveryman.extend(groups[i])

    # 计算每个业务员的派送顺序
    for i in range(num_deliverymen):
        deliveryman = deliverymen[i]
        delivery_order = find_delivery_order(deliveryman, start_x, start_y)
        deliverymen[i] = delivery_order

    # 计算每个业务员的路程
    total_distance = 0
    for i in range(num_deliverymen):
        delivery_order = deliverymen[i]
        distance = calculate_distance(delivery_order)
        total_distance += distance

    return deliverymen, total_distance

if __name__ == '__main__':
    delivery_list = [
        (10, 20, 15),
        (30, 40, 10),
        (50, 60, 20),
        (70, 80, 30),
        (90, 100, 40),
        (110, 120, 25),
        (130, 140, 35),
        (150, 160, 5),
        (170, 180, 10),
    ]
    deliverymen, total_distance = run(delivery_list)
    print(f"需要 {len(deliverymen)} 个业务员")
    print(f"总路程为 {total_distance:.2f} km")
    for i in range(len(deliverymen)):
        print(f"业务员 {i+1} 的派送顺序为：")
        for delivery in deliverymen[i]:
            print(f"({delivery[0]}, {delivery[1]})，重量为 {delivery[2]} 千克")