Shulou(Shulou.com)06/03 Report--

As an important document in the bidding process, the review of bidding documents is very important in the quality control process of bidding documents. What are the important points in bidding documents and what work should be done in the review of bidding documents?

I. Audit integrity

No matter what kind of article, writing has corresponding requirements, and completeness is the most basic requirement, so is the preparation of bidding documents. Check whether a tender document is complete, mainly to review whether the entire document framework includes the contents stipulated in laws and regulations. When reviewing documents, attention shall be paid to whether the documents describe the relevant requirements in sufficient detail according to the procurement subject matter, which is also an important basis for contract signing and performance acceptance. If the bidding documents are incomplete, the above aspects will be affected, thus affecting the quality of bidding procurement results.

II. Audit compliance

It is important that bidding documents are legal and compliant, and non-compliant documents may lead to supplier complaints and delays in the project. If the problem of documents is not found in time, it will directly affect the implementation after bidding. The following areas are the focus of compliance audits. 1. Time requirements. The procurement method of different projects, the time required is also very different. 2. When restricting suppliers 'bidding documents, attention shall be paid to understanding and grasping relevant provisions of laws, regulations and normative documents, so as to avoid violating contents or clauses in technical requirements and contract clauses. 3. Substantive provisions. The invalid bidding terms stipulated in the bidding documents refer to the supplier's qualification, payment method and conditions of response, such as delivery place, delivery period, warranty period, allowable deviation and deviation range of technical parameters, etc. If more than two different symbols are found in the document, it should be noted whether the representative content is clearly stated in the document. 4. Bid evaluation methods and standards. The tender evaluation clause is the key to judge whether the tender is fair or not. Bidding documents shall strictly comply with relevant national laws, regulations, rules and normative documents, and conform to the basic characteristics of bidding. Check whether the evaluation factors are comprehensive and reasonable. 5. Eligibility requirements. It is necessary to determine whether the qualification content is suitable for the project requirements. If it is not suitable, it should not be regarded as qualification requirements.

III. Review rationality

Rationality needs to be carefully analyzed according to the specific conditions of the bidding project. Tender documents must pay attention to details, technical specifications and other related requirements can not be hastily decided. The technical specifications and requirements provided must be carefully checked for rationality. The knowledge map processing plant can extract the format knowledge and content knowledge (table of contents, chapters, paragraphs and key fields) in the bidding document information, and conduct intelligent verification to prepare and review the bidding documents.

Bidding document knowledge extraction specifically includes:

1. Format extraction: font, font size, line spacing, chapter table number, directory, etc.

2. Field extraction: subject information, amount, subject matter, address, date, etc.

3. Chapter paragraph extraction: chapter title (table of contents) and content (requirements, regulations, clauses, etc.).

KGB(Knowledge Graph Builder) engine is based on Chinese lexical analysis. It uses KGB grammar to realize real-time and efficient knowledge generation. It can extract all kinds of knowledge from unstructured text and extract specified content from tables. KGB can also define different actions, such as extraction actions, and can customize various post-processing procedures. KGB knowledge graph engine can extract the detailed quotation information of products, which is convenient for the next step of data mining and graph construction.

The KGB knowledge graph is scalable across domains. Knowledge Graph Factories have a common graph building engine. Knowledge extraction, knowledge association and quality verification processes do not depend on specific business knowledge. Combined with the requirements of knowledge graph construction, user domain knowledge graph can be quickly constructed.

KGB knowledge graph can realize intelligent verification of knowledge quality. The knowledge atlas processing plant realizes intelligent verification and verification of various knowledge errors and conflicts, and automatically updates the knowledge base in real time to ensure the accuracy of the knowledge atlas.

KGB Knowledge Graph adopts man-machine integrated services. Man-machine composition of knowledge graph processing field: 90% machine +10% manual, only need to provide corpus, you can quickly get the corresponding knowledge graph construction results.

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