[竞谈]C08项目服务间、洗消间、开水间地柜、吊柜、洗消池采购项目成交公告
中标评审分析官方公示数据
中标原因深度分析独家解读
0230527
# coding=utf-8
from __future__ import print_function
from __future__ import division
from __future__ import absolute_import
from __future__ import unicode_literals
import numpy as np
import pandas as pd
import os
import pickle
import re
import json
from sklearn.metrics import accuracy_score
import torch
import torch.nn as nn
from torch.utils.data import Dataset, DataLoader
from torch.nn.utils.rnn import pad_sequence
from torch.nn.utils.rnn import pad_sequence
import torch.nn.functional as F
from torch.nn.utils.rnn import pack_padded_sequence, pad_packed_sequence
from torch.utils.data import Dataset, DataLoader
from transformers import BertTokenizer, BertModel
from transformers import AdamW, get_linear_schedule_with_warmup
from torch.utils.data import TensorDataset, DataLoader, RandomSampler, SequentialSampler
from tqdm import tqdm, trange
from collections import defaultdict
import warnings
warnings.filterwarnings('ignore')
from sklearn.model_selection import train_test_split
from sklearn.metrics import accuracy_score, f1_score, confusion_matrix
from transformers import BertModel, BertTokenizer
from sklearn.metrics import classification_report
from sklearn.metrics import f1_score
from sklearn.preprocessing import LabelBinarizer
from sklearn.preprocessing import LabelEncoder
from sklearn.preprocessing import MinMaxScaler
from sklearn.model_selection import train_test_split
import json
import pickle
import numpy as np
import pandas as pd
import os
import re
from sklearn.metrics import accuracy_score
from sklearn.metrics import f1_score
from sklearn.metrics import classification_report
from sklearn.metrics import confusion_matrix
from sklearn.model_selection import train_test_split
import json
import pickle
import numpy as np
import pandas as pd
import os
import re
from sklearn.metrics import accuracy_score
from sklearn.metrics import f1_score
from sklearn.metrics import classification_report
from sklearn.metrics import confusion_matrix
from sklearn.model_selection import train_test_split
import json
import pickle
import numpy as np
import pandas as pd
import os
import re
from sklearn.metrics import accuracy_score
from sklearn.metrics import f1_score
from sklearn.metrics import classification_report
from sklearn.metrics import confusion_matrix
from sklearn.model_selection import train_test_split
import json
import pickle
import numpy as np
import pandas as pd
import os
import re
from sklearn.metrics import accuracy_score
from sklearn.metrics import f1_score
from sklearn.metrics import classification_report
from sklearn.metrics import confusion_matrix
from sklearn.model_selection import train_test_split
import json
import pickle
import numpy as np
import pandas as pd
import os
import re
from sklearn.metrics import accuracy_score
from sklearn.metrics import f1_score
from sklearn.metrics import classification_report
from sklearn.metrics import confusion_matrix
from sklearn.model_selection import train_test_split
import json
import pickle
import numpy as np
import pandas as pd
import os
import re
from sklearn.metrics import accuracy_score
from sklearn.metrics import f1_score
from sklearn.metrics import classification_report
from sklearn.metrics import confusion_matrix
from sklearn.model_selection import train_test_split
import json
import pickle
import numpy as np
import pandas as pd
import os
import re
from sklearn.metrics import accuracy_score
from sklearn.metrics import f1_score
from sklearn.metrics import classification_report
from sklearn.metrics import confusion_matrix
from sklearn.model_selection import train_test_split
import json
import pickle
import numpy as np
import pandas as pd
import os
import re
from sklearn.metrics import accuracy_score
from sklearn.metrics import f1_score
from sklearn.metrics import classification_report
from sklearn.metrics import confusion_matrix
from sklearn.model_selection import train_test_split
import json
import pickle
import numpy as np
import pandas as pd
import os
import re
from sklearn.metrics import accuracy_score
from sklearn.metrics import f1_score
from sklearn.metrics import classification_report
from sklearn.metrics import confusion_matrix
from sklearn.model_selection import train_test_split
import json
import pickle
import numpy as np
import pandas as pd
import os
import re
from sklearn.metrics import accuracy_score
from sklearn.metrics import f1_score
from sklearn.metrics import classification_report
from sklearn.metrics import confusion_matrix
from sklearn.model_selection import train_test_split
import json
import pickle
import numpy as np
import pandas as pd
import os
import re
from sklearn.metrics import accuracy_score
from sklearn.metrics import f1_score
from sklearn.metrics import classification_report
from sklearn.metrics import confusion_matrix
from sklearn.model_selection import train_test_split
import json
import pickle
import numpy as np
import pandas as pd
import os
import re
from sklearn.metrics import accuracy_score
from sklearn.metrics import f1_score
from sklearn.metrics import classification_report
from sklearn.metrics import confusion_matrix
from sklearn.model_selection import train_test_split
import json
import pickle
import numpy as np
import pandas as pd
import os
import re
from sklearn.metrics import accuracy_score
from sklearn.metrics import f1_score
from sklearn.metrics import classification_report
from sklearn.metrics import confusion_matrix
from sklearn.model_selection import train_test_split
import json
import pickle
import numpy as np
import pandas as pd
import os
import re
from sklearn.metrics import accuracy_score
from sklearn.metrics import f1_score
from sklearn.metrics import classification_report
from sklearn.metrics import confusion_matrix
from sklearn.model_selection import train_test_split
import json
import pickle
import numpy as np
import pandas as pd
import os
import re
from sklearn.metrics import accuracy_score
from sklearn.metrics import f1_score
from sklearn.metrics import classification_report
from sklearn.metrics import confusion_matrix
from sklearn.model_selection import train_test_split
import json
import pickle
import numpy as np
import pandas as pd
import
一、项目编号：11000026210200174193-XM001
二、项目名称：C08项目服务间、洗消间、开水间地柜、吊柜、洗消池采购项目
三、中标（成交）信息
总中标成交金额：112.29 万元（人民币）
中标成交供应商名称、地址及中标成交金额：
中标成交供应商名称：北京金隅天坛家具股份有限公司
中标成交供应商地址：北京市东城区安定门外小黄庄路9号
中标金额：112.29万元
| 供应商名称 | 供应商地址 | 统一信用代码 | 中标金额 | 中标成交备注信息 |
|---|---|---|---|---|
| 北京金隅天坛家具股份有限公司 | 北京市东城区安定门外小黄庄路9号 | 911101017002402592 | 112.29 万元 | 价格扣除后评审报价(最低价法)： 89.832 万元 |
四、主要标的信息
| 供应商 | 商品名称 | 规格型号 | 数量 | 单价 | 总价 | 服务要求 |
|---|---|---|---|---|---|---|
| 北京金隅天坛家具股份有限公司 | 地柜 | D600*H800 | 348 | 0.1895万元 | 65.946万元 | 详见采购文件 |
| 北京金隅天坛家具股份有限公司 | 地柜水盆水龙头 | 标准水盆 | 84 | 0.141万元 | 11.844万元 | 详见采购文件 |
| 北京金隅天坛家具股份有限公司 | 吊柜 | D400*H800 | 413 | 0.04万元 | 16.52万元 | 详见采购文件 |
| 北京金隅天坛家具股份有限公司 | 三联洗消池 | D600*H800 | 124 | 0.145万元 | 17.98万元 | 详见采购文件 |
详见采购文件
五、评审专家（单一来源采购人员）名单：
洪韬、李亚凤、刘斯
六、代理服务收费标准及金额：
本项目代理费总金额：1.63519万元（人民币）
本项目代理费收费标准：
详见采购文件
七、公告期限
自本公告发布之日起1个工作日。
八、其它补充事宜
无
九、凡对本次公告内容提出询问，请按以下方式联系。
1.采购人信息
名 称：北京市机关事务管理局本级事业
地址：北京市通州区运河东大街57号院3号楼
联系方式：刘斯,55575222
2.采购代理机构信息
名 称：中国远东国际招标有限公司
地 址：北京市朝阳区和平街东土城路甲9号10层
联系方式：谢喆，010-64234102
3.项目联系方式
项目联系人：谢喆
电 话： 010-64234102
数据来源：查看官方原文 | 发布日期：2026-06-01