Mingdao Cloud System Application — General Affairs Management
Release date：2026-09-08
General affairs management serves as a vital link to guarantee an enterprise’s daily operation, covering coordinated administration of multiple businesses including logistics, access control, licenses & certificates and contracts. Traditional management modes mostly rely on offline registration, paper‑based records and manual statistics, which tend to cause defects in timeliness, completeness, accuracy and traceability. When our company introduced the Mingdao Cloud low‑code platform, we focused on building customized applications for general affairs management. It enables information‑based and process‑driven operation of general affairs work and effectively avoids the above‑mentioned problems. Below we introduce partial application outcomes of general affairs management within the Mingdao Cloud system.
1 Catering Management
1.1 Before Implementation
1.1.1 Difficult Meal Booking
Each department appoints a part‑time meal coordinator, who collects meal‑participation information from every staff member and submits it to the General Affairs Department. The General Affairs Department further consolidates the final number of diners for each meal every day.
1.1.2 Difficult Verification‑off Process
For abnormal dining situations caused by objective reasons, employees need to verbally report to department supervisors, and the information is then aggregated to the General Affairs Department.
1.1.3 Difficult Statistics
Reports are compiled based on verbal feedback and manually filled records, leading to distorted data that cannot reflect real‑world conditions.
1.2 After Implementation
1.2.1 Clear Workflow
Menu Release — Employee Meal Booking — Scan Code for Dining — Abnormality Write‑off — Automatic Statistics.
1.2.2 Accurate Data
Each employee is assigned one exclusive code and one unique ID for self‑service operation, with full‑process traceability in the system.
1.2.3 Efficient Statistics
The system automatically generates required record sheets and statistical tables according to personalized requirements, delivering accurate and efficient output.
2 Vehicle Management
2.1 Before Implementation
2.1.1 Cumbersome Records
Vehicle‑use application forms and related records are filled out manually. Circulation of physical documents results in low efficiency.
2.1.2 Disorganized Information
Records for annual inspection, insurance and maintenance are poorly filed, prone to loss and overdue status.
2.2 After Implementation
2.2.1 Clear Workflow
Vehicle‑use Application — General Affairs Review — Vehicle Return Submission — Automatic Statistics.
2.2.2 Accurate Information
Vehicle data is managed by category. Records of annual inspection, insurance and maintenance are matched correspondingly. Reminder functions are added to realize timely and effective vehicle maintenance.
3 Dormitory Management
3.1 Before Implementation
3.1.1 Cumbersome Records
Check‑in and check‑out forms are filled out manually. Frequent hand‑over of paper documents brings low work efficiency.
3.1.2 Difficult Statistics
Reports compiled from verbal information and manual records are time‑consuming and error‑prone.
3.2 After Implementation
3.2.1 Streamlined Workflow
Scan‑code Registration — System Allocation — Automatic Recording.
3.2.2 Efficient Statistics
Based on five core forms, embedded system codes perform automatic calculation to achieve high efficiency and precision.
4 Contract Management
4.1 Before Implementation
4.1.1 Difficult Inquiry
Manual‑created ledgers suffer from ambiguous classification logic and disordered filing, making document lookup time‑consuming.
4.1.2 Inadequate Management
Borrowing records are registered late or omitted, leaving no trace for trace‑back when incidents occur.
4.2 After Implementation
4.2.1 Ledger Construction
System‑based ledgers are established with hierarchical classification complying with corporate document management regulations for fast and convenient retrieval.
4.2.2 Complete Mechanism
A formal contract‑borrowing mechanism is built with full operation traces, so that problems can be traced and resolved without missing records.
The above presents practical outcomes of selected general‑affairs business modules. Aiming at pain points of traditional management, such as poor information retention, non‑standard workflows, low manual efficiency and error‑prone data, we leverage the Mingdao Cloud system and align with actual operation logic of general‑affairs work to formulate practical solutions, which have achieved remarkable improvements.
Going forward, we will continuously optimize system performance of each business module in response to social changes and corporate lean‑management demands, pursuing higher comprehensiveness, accuracy and cost‑efficiency. Through an efficient and standardized digital management model, we will provide more solid logistical support for the stable overall operation of the enterprise.
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