LMES User Guide
To help new implementers and OEM partners quickly understand the complete implementation process of the LMES system, we provide the following operation roadmap. This roadmap shows the complete implementation process from basic data configuration, production process modeling, production operation management to monitoring and analysis, arranged in the recommended implementation order.
🎯 Complete Implementation Process Overview
The following diagram shows the complete implementation roadmap of the LMES system, including four main phases: System Preparation → Production Process Modeling → Production Operation Management → Monitoring and Analysis
📌 Detailed Description of Each Phase
🔧 Phase 1: System Preparation (Steps 1-2)
This is the basic preparation phase of LMES implementation, requiring the completion of basic system configuration.
| Step | Module | Main Task | Key Configuration Items |
|---|---|---|---|
| 1 | System Configuration | Configure LMES system basic parameters | Line Code, Line Structure (Line-Process-Station or Line-Section-Process-Station, affecting all subsequent modeling interfaces), Section Definition, Work Order Settings, Defective Product Configuration, Formula Control, etc. |
| 2 | Flow Configuration | Define and manage business process templates in the production process (System has built-in standard processes, configure only when customized processes are needed) | Flow Nodes, Flow Logic, Parameter Settings, Batch Configuration, etc. |
Phase Goal: Complete system environment initialization and basic process rule configuration to prepare for subsequent business configuration.
⚠️ Important Note:
- Line Structure is the core of System Configuration: Must determine the line structure type before starting process modeling
- Line-Process-Station: Suitable for simple production processes, no need for section grouping
- Line-Section-Process-Station: Suitable for complex production processes, requiring management by sections (e.g., Stamping, Welding, Painting)
- Once the line structure is set, the UI display and configuration options of all subsequent modeling interfaces (Process Management, Formula Management, etc.) will be adjusted accordingly
- It is recommended to clarify the line structure before system launch to avoid rework caused by later adjustments
💡 Flow Configuration Note:
- The LMES system has built-in standard business process templates covering common production scenarios
- Under normal circumstances, users can use standard system functions without configuring processes
- Only when customized business processes are needed, new processes need to be added in the Flow Configuration module
- Flow Configuration is a core basic function of LMES, supporting flexible flow orchestration and parameterized configuration
🏭 Phase 2: Production Process Modeling (Steps 3-12)
This is the core phase of LMES implementation, requiring step-by-step configuration of production factors according to dependencies.
| Step | Module | Main Task | Dependency | Key Configuration Items |
|---|---|---|---|---|
| 3 | Product Management | Maintain basic product information and core identifiers as the foundation for process modeling and production execution | None | Product Name (Unique), Product Model (Unique), Short Code, Identification Code, Planning Coefficient, etc. |
| 4 | Material Management | Define and manage all material information required in the production process | Barcode Management (Optional) | Material Name, Material Type (Unique/Batch), Material Number, Unit, Barcode Rule, Material Warning, etc. |
| 5 | Process Management | Define production processes and stations, configure various production parameters | Material Management (Optional) | Process Configuration, Station Configuration, Collection Parameters, Formula Parameters, Material Parameters, Signal Parameters, etc. |
| 6 | Recipe Management | Configure process routes and process parameters (Core function: Configure process routes for different product models, achieve multiple process parameter settings for the same product through recipe version management) | Product Management, Process Management | Recipe Name, Recipe Number, Process Route Configuration, Product Model, Recipe Version, Collection Parameter Standard Value/Limits, Recipe Parameter Values, etc. |
| 7 | BOM Management | Define and maintain the material composition structure of products, establish hierarchical relationships between products and raw materials/semi-finished products | Product Management, Material Management | BOM Name, Product Name, Process, Material Number, Material Name, Material Type, Unit, Usage, etc. |
| 8 | Barcode Management | Manage parsing, generation, and verification of product barcodes, establish a standard barcode management system | None | Parsing Rules, Generation Rules, Verification Rules, Barcode Segment Configuration, Applicable Product/Process, etc. |
| 9 | Label Management | Design and manage various label templates to achieve automated label printing during production | Product Management, Barcode Management (Optional) | Label Name, Applicable Product, Applicable Station, Printer, Label Template, Data Mapping, Barcode Generation Rules, etc. |
| 10 | Pallet Management | Manage pallet carriers used in the production process, achieve association traceability between products and carriers | None | Pallet Code, Pallet Name, Pallet Specification, Binding Status, Binding Records, etc. |
| 11 | Work Instructions | Configure and manage Standard Operating Procedures (SOP) to ensure standardization and normalization of the production process | Process Management | Work Instruction Name, Belonging Process, Associated Formula, Step Management, SOP File, Flow Control, etc. |
| 12 | Process Settings | Configure production process control rules to ensure standardized execution and quality traceability of the production process | Product Management, Formula Management, Process Management | Missing Process Detection, Product Code Update, Product State Detection, Cross-Line Segment Detection, etc. |
Phase Goal: Complete complete modeling of production factors to form an executable production process.
⚠️ Important Note:
- Steps 3-4 can be configured in parallel (basic data has no dependencies)
- Steps 5-12 must be configured after corresponding dependencies are completed
- Step 6 (Formula Management) is the core of process modeling, connecting processes through process route configuration to achieve:
- Different product models can be configured with different process routes: e.g., Product A passes through 5 processes, Product B passes through 8 processes
- Multiple formula versions can be created for the same product: e.g., Standard Version, Optimized Version, Trial Version, each version can have different settings for parameters on the process route
- Formula versions support version history management, facilitating process optimization and issue tracking
- Step 11 (Work Instructions) belongs to production rule configuration, mainly used for the formulation of Standard Operating Procedures for semi-automatic processes, which is an operation specification that must be defined before process execution
- Step 12 (Process Settings) is the finishing work of process modeling, ensuring standardized execution and quality traceability of the production process by configuring process control rules, and effectively preventing operational errors during production through error-proofing rule configurations such as missing process detection and product state detection, ensuring product quality and production safety
⚙️ Phase 3: Production Operation Management (Steps 13-18)
After completing modeling, enter the actual production operation phase to manage daily production activities. This phase is a key link for the LMES system to exert actual value, achieving refined control of the production process through digital means.
| Step | Module | Main Task | Dependency | Key Operation |
|---|---|---|---|---|
| 13 | Indicator Configuration | Dynamically manage business indicators at all levels of the production process to achieve refined monitoring | None | Line/Section/Station Level Indicators, Business Fields, Variable Binding, etc. |
| 14 | Manual Dashboard | Configure operation consoles for semi-automatic processes, providing standard work instructions and production parameter monitoring | Process Management (Manual Process) | Process Filter, Step List, SOP File Display, Production Parameters, Material List, Production Control, Batch Material Operation, etc. |
| 15 | Work Order Management | Manage the full lifecycle of work orders in the production process, including creation, query, update, deletion, and status transition operations | Product Management, Formula Management | Work Order Number, Planned Quantity, Associated Product, Associated Formula, Status Transition (Activate/Issue/Pause/Complete/End), etc. |
| 16 | Inspection Management | Perform quality monitoring and sampling inspection, create, manage, and execute inspection tasks | Product Management, Process/Formula Management | Inspection Task Name, Inspection Type, Inspection Template, Product Model, Completion Condition, Inspection Frequency, Expected Result, etc. |
| 17 | Repair Management | Manage defective products generated during production, support repair flow control and defect reason analysis | Product Management, Formula Management | Repair Judgment (Scrap/NG Item Outflow/Equipment Repair/Manual Repair), Defect Reason Configuration, Repair Route Configuration, Judgment Record, etc. |
| 18 | Production Management | Monitor and control process flows in real-time, realize field production operation execution through station flow control | Process Management, Work Order Management | Product Transport, Station Control, Production Tracking, Flow Monitoring, Variable Status, Remote Intervention, etc. |
Phase Goal: Achieve digital management and execution of the production process, ensuring production activities are carried out according to plan, standards, and traceability through station flow control.
⚠️ Important Note:
- Step 13 (Indicator Configuration) is the basis for production monitoring and should be completed before production execution
- Step 14 (Manual Dashboard) is designed for semi-automatic processes and needs to be used in conjunction with Work Instructions and Process Management
- Step 15 (Work Order Management) is the starting point of production operation and must be based on completed process modeling to create effective work orders
- Step 16 (Inspection Management) is an important link in quality management, used for quality monitoring and sampling inspection. It is recommended to establish relevant mechanisms in the early stage of production
- Step 17 (Repair Management) is an important link in quality management, used to manage defective products generated during production. It is recommended to establish relevant mechanisms in the early stage of production
- Step 18 (Production Management) is key support for production execution, realizing execution and monitoring of field production operations through station flow control
💡 Best Practices:
- Implement in the logical order of "Configuration -> Execution -> Monitoring": First complete Indicator Configuration and Manual Dashboard configuration to establish production control rules; then perform Work Order Execution and Production Operations; finally ensure quality through Inspection and Repair
- Small batch trial run: It is recommended to conduct small batch trial production first, verify the correctness of each module configuration, and then promote to all production lines
- Standardized operation: Strictly follow SOP standards for operation execution to ensure consistency and traceability of the production process
- Real-time monitoring: Monitor production status and station flow control in real-time through the Production Management module to discover and handle anomalies in time
📊 Phase 4: Monitoring and Analysis (Steps 19-22)
Based on production operation, perform data monitoring, traceability, and analysis optimization.
| Step | Module | Main Task | Application Value | Key Function |
|---|---|---|---|---|
| 19 | Monitoring Dashboard | Configure monitoring pages to display production status and key indicators in real-time | Visual Management | Page Configuration, Data Monitoring, Alarm Display, Trend Analysis, Real-time Data Refresh, etc. |
| 20 | Process Traceability | Full process traceability of products, supporting forward and reverse traceability | Quality Traceability | Traceability Report, One-Code Traceback, Report Configuration, Business Field Configuration, Batch Tracking, etc. |
| 21 | Production Statistics | Statistically analyze output data, provide multi-dimensional production reports | Performance Evaluation | Output Statistics, Process Cycle Time Analysis, Process Detail Analysis, Unqualified Statistics, OEE Analysis, etc. |
| 22 | Quality Analysis | SPC statistical process control, realizing deep analysis of quality data | Quality Improvement | Quality Data Overview, Parameter SPC Analysis, Parameter Real-time CPK, Control Chart, Capability Analysis, Exception Warning, etc. |
Phase Goal: Establish a data-driven continuous improvement mechanism, achieving comprehensive digital management of the production process through visual monitoring, full traceability, statistical analysis, and quality control.
⚠️ Important Note:
- Step 19 (Monitoring Dashboard) is the core of production visualization, key indicators should be configured according to management needs
- Step 20 (Process Traceability) needs to configure traceability fields in the process modeling phase to ensure traceability data integrity
- Step 21 (Production Statistics) depends on the accuracy of data collection during production, ensuring complete configuration of data collection points for each process
- Step 22 (Quality Analysis) requires sufficient quality data accumulation to exert the value of SPC analysis. It is recommended to focus on it after stable production
📈 Value Embodiment:
- Master production status in real-time: Understand line operation through monitoring dashboard
- Quickly locate quality problems: Quickly lock problem sources using process traceability
- Data-driven decision optimization: Optimize production processes based on production statistical data
- Continuously improve production efficiency: Continuously improve product qualification rate through quality analysis
💡 Best Practices:
- Layered configuration of monitoring indicators: Configure differentiated monitoring dashboards for management, production supervisors, team leaders, etc.
- Establish traceability standards: Unify traceability field definitions and data collection standards to ensure consistency of traceability results
- Regularly analyze statistical reports: Analyze production statistical data daily, weekly, and monthly to identify production bottlenecks and improvement points
- Set quality warning mechanism: Set quality warning thresholds based on SPC analysis to achieve early warning of quality problems
🎓 Implementation Suggestions and Best Practices
To ensure the smooth implementation of the LMES system and maximize its value, it is recommended to strictly follow the following implementation principles and methods.
1. Strictly Follow Implementation Order
The 22 steps in the roadmap have clear sequential and dependency relationships. Implementation must be strictly carried out in order to avoid configuration problems or rework caused by dependencies.
Implementation Principles:
- Prerequisite Priority Principle: Configuration of any module must be carried out after its dependencies are completed
- Integrity Verification Principle: After completing each phase, comprehensive functional verification must be performed before entering the next phase
- Progressive Advancement Principle: Adopt a small-step fast-run approach to gradually improve system functions
2. Phased Acceptance Mechanism
Establish a strict phased acceptance mechanism to ensure the quality and integrity of each phase.
3. Quick Start Implementation Strategy
Depending on different business needs, differentiated quick start strategies can be adopted:
Minimum Viable Configuration (MVP):
This minimum configuration can be completed within 1 week to quickly verify core system functions.