Execution Timeline

Planning phase (months 1-2)

Objectives:

Identify project requirements, develop implementation plans, and form a project team.

Key tasks:

Requirements analysis:

Communicate with production, management, and sales departments to confirm the core requirements of digital transformation.
Conduct detailed research on specific functional requirements for equipment monitoring, data analysis, and collaboration platforms.

Supplier selection:

Collect and compare quotes and functions of different tools and platforms (e.g., Siemens Mindsphere, Huawei IoT).
Evaluate technical support capabilities and industry reputation to select suitable suppliers.

Project team formation:

Determine team members and roles, including project managers, technical support, data analysts, and training leaders.

Project plan formulation:

Develop a timeline and clarify milestones and task priorities for each stage.

Deliverables:

Project requirements document
Supplier contract
Project timeline and resource allocation plan

Implementation phase (months 3-6)

Objective:

Complete the deployment of digital tools and preliminary functional integration.

Key tasks:

Deployment of equipment IoT

monitoring system:

Install sensors and monitoring equipment to collect data from key production equipment.
Configure IoT platform to realize real-time data upload and preliminary analysis functions.

Integration of big data platform:

Integrate production, sales and market data into big data analysis platform.
Establish data model and design basic analysis report templates (such as equipment operation efficiency, sales trend).

Implementation of collaboration tools:

Deploy Microsoft Teams or DingTalk and set up department-specific channels.
Set up permission management to ensure that different departments have access to relevant information.

Online cloud solution:

Migrate existing data to cloud platform to ensure data storage security and backup functions.
Configure permissions and security policies to avoid data leakage risks.

Delivery:

Deployed equipment monitoring system
Initially operational big data platform
Online collaboration tools and cloud solutions

Testing phase (months 7-8)

Objectives:

Verify the stability of digital tools and platforms, collect user feedback and optimize.

Key tasks:

Trial run:

Carry out a pilot run of the equipment monitoring system in a production line or workshop.
Use the collaborative tool in the selected department and observe the effect of use.

Feedback collection:

Meet with the pilot team regularly to record problems and suggestions during use.
Monitor the system operation log to ensure that no major failures occur.

Optimization and adjustment:

Optimize system configuration and functions based on feedback.
Work with suppliers to solve technical problems.

Deliverables:

Pilot operation report
System adjustment and optimization record

Online stage (9th month)

Objectives:

Fully launch the system, complete employee training, and enter formal operation.

Key tasks:

Full deployment:

Deploy the system and tools in all production lines, workshops and departments.
Ensure smooth data flow and interconnection of various tools.

Employee training:

Design customized training courses for different positions (for example, the production department focuses on equipment monitoring training, and the management team trains on the data analysis platform).
Provide operation manuals and online training resources to ensure that employees can learn at any time.

Live launch:

Hold a launch ceremony to publicize the importance and long-term goals of digital transformation.
Establish a monitoring mechanism and regularly check the system operation status.

Result delivery:

Fully launched digital system
Employee training completion record
Live launch report