Understand the entire process traceability in one minute! Click to watch the video👈
1. Story Card
"Full-process traceability" refers to the comprehensive recording and tracking of every stage of a product's lifecycle, from raw material procurement to production, quality inspection, warehousing, packaging, and sales. It utilizes a unique code (such as an SN code or batch number) to achieve precise management and tracing of the product's entire lifecycle information, ensuring that information about each step is traceable and accessible, allowing for timely problem detection and resolution, thereby improving quality management efficiency and transparency.
The automotive parts industry began using full-process traceability management during the transition period from the late 20th century to the early 21st century. With the advancement of globalization and technology, particularly in information technology and the Internet of Things (IoT), automotive manufacturers and suppliers started to place greater emphasis on supply chain management and product quality control. During this period, the automotive industry faced increasingly stringent safety and environmental requirements, prompting companies to adopt more advanced traceability systems to ensure the quality and safety of parts and to meet the growing demands for regulatory compliance. The introduction of full-process traceability management systems allows for effective monitoring and management of every link from raw material procurement to production, distribution, and final users.
2. Industry Pain Points and Breakthroughs
Before Application (BEFORE)
Ambiguous Production Operation Records: Traditional methods relying on paper information transmission can lead to intentional concealment or chaotic information management due to the loss of paper information, making it difficult for supervisors to obtain accurate information for on-site management and decision-making, and unclear accountability during tracing;
Disconnected Equipment Data and Products: Equipment operation data is not effectively linked to products, hindering real-time assessment of the impact of equipment on the production process, which is not conducive to tracing the processing conditions of products on equipment;
Fragile Material Traceability Chain: Unclear records of material flow make it easy for the traceability chain between raw materials and finished products to break, making it difficult to quickly determine the range of relevant products or raw materials when issues arise;
Lack of Standardized Traceability Processes: Standardized traceability processes and methods are lacking, resulting in low efficiency and accuracy in traceability work, and difficulties in data integration and interpretation, making it challenging to fundamentally resolve quality issues.
After Application (AFTER）
Precise Personnel Operation Traceability: Through multi-terminal scanning operations and digital records, accurate personnel operation traceability is achieved, making responsibilities clear, enhancing personnel traceability awareness and accountability, and providing a basis for performance assessment;
Binding Equipment Data to Products: By scanning through various mobile terminals like web, pads, and apps, equipment processing information is bound to product batches or product SN information, allowing for unified platform data storage and retrieval, thus achieving efficient management of full-process data.
Clear and Traceable Material Flow: Establish clear material flow archives, allowing for traceability of material usage at every step from raw materials to finished products, achieving precise material management and quality control, and reducing material waste;
Establishment of Standardized Traceability Processes: Formulate standardized traceability processes and operation guides to improve traceability work efficiency and accuracy, achieving effective data integration and analysis and providing strong support for quality improvement and management decision-making.
3. Scenario Analysis
Pain Points of Full-process Traceability Scenarios
Distorted Information and Chaotic Management
Traditional full-process records highly rely on paper information transmission, leading to chaotic information management (e.g., loss of paper information or intentional concealment by employees), making it difficult for supervisors to grasp full-process on-site management and optimization strategies.
Difficulties in Real-time Information Acquisition
Due to the use of offline and paper information, real-time sharing among departments is obstructed. When materials corresponding to the SN exhibit abnormalities (such as physical loss or quality issues), on-site supervisors often cannot quickly pinpoint the real-time location of the current anomaly and respond quickly to contain its impact.
Difficulties in Locating Quality Issues
Relying on manual tracing makes it challenging to quickly identify the cause of problems during product quality issues or raw material abnormalities. For example, if finished products exhibit quality problems, it is difficult to quickly identify the cause, location, and related processing conditions of raw materials. Similarly, if raw materials have quality issues, it is hard to quickly retrieve information about finished products produced using current raw materials and swiftly identify the impacted range to minimize losses.
Full-process Traceability Solutions
Value 1: Efficient Digital Management Across the Full Process
By instantly acquiring accurate operational information, management enjoys clear data support in on-site management and strategy formulation, enhancing decision-making accuracy and effectiveness. Each link, including procurement, inventory, production, inspection, packaging, and sales, can be tracked in real-time, ensuring full traceability and strengthening management efficiency and quality.
Value 2: Real-time Information Flow and Sharing
In-process Management: Online tracking of SN/batch real-time locations makes production monitoring visual, rapidly locating product positions, ensuring timely containment and minimizing impact.
Value 3: Root Cause Analysis of Quality Issues
Post-event Management: Quickly locate specific production history and raw material usage information for products, and identify key issues and root causes from the perspectives of people, machines, materials, methods, and environment, effectively preventing recurrence of similar quality problems.
Full-process Traceability Detailed Solutions
Providing timely and accurate full-process operational information
Full-process Coverage: Procurement Storage ➡️ Incoming Material Inspection ➡️ Material Preparation/Material Withdrawal ➡️ Production Material Consumption ➡️ Production Inspection ➡️ Production/Warehouse Packaging ➡️ Finished Product Whole Box Sales.
Full-process traceability supporting seamless SN code/batch code quick operations enables efficient data collection for subsequent tracing. It covers every manufacturing step for a single product or a batch of products, including complete traceability information of "people, machines, materials, methods, and environment."
Scenes & Interface Diagrams
Figure 1: View full-process operational records including inventory, production, inspection, etc., through the SN code
Real-time and Rapid Viewing and Location of SN Information
In-process Management:
View the latest location and dynamics of the SN in real-time based on time dimension, effectively avoiding loss or omission of real objects for the SN.
Quickly identify the involved products and the latest production location, enabling timely containment to minimize the impact.
Scenes & Interface Diagrams
Figure 2: View real-time locations and dynamics of the latest SN based on time dimension
Figure 3: Locate the range of finished products and quickly contain using SN code
Multi-dimensional Post-event Tracing
Post-event Management:
Reverse Tracing: According to finished product SN information, rapidly locate material usage SN/batch situations for each procedure in the BOM layer by layer, enabling quick identification of information regarding related raw materials processing and subsequent impact range within 3 minutes. This rapid localization capability can efficiently manage and control production processes, reducing errors and losses. Moreover, it helps managers understand raw material usage for better optimization of production planning and cost reduction.
Forward Tracing: Based on raw material batch/SN information, rapidly locate finished product SN information and find the affected range of finished products within 3 minutes, reducing losses in the production process.
Scenes & Interface Diagrams
Figure 4: Locate raw materials processing information and impact range using SN code
4. Application Value
Quality Improvement: Reduction in production defect rates, significant decrease in scrap and rework quantities, production costs decrease by 5%
Increased Customer Satisfaction: Rapid identification, resolution, and issuance of quality reports when issues occur, with customer satisfaction increased by 15%
Process Management Improvement: Early detection of abnormal issues for timely adjustments, with products' first-pass acceptance rate increased by 10%
5. Customer Cases
Yingshi Innovation is a technology company focused on panoramic and action cameras, founded in 2015. The company is headquartered in Shenzhen, China, and has multiple branches worldwide. Yingshi Innovation's products span various fields, including consumer-grade panoramic cameras, professional-grade panoramic cameras, action cameras, VR headsets, and more.
Luckin Technology Co., Ltd. is an innovative enterprise specializing in the smart home security field, headquartered in Beijing. Founded in 2014, the company has a research and development team composed of experienced engineers and designers, dedicated to developing smart locks, smart doorbells, smart peepholes, and other smart home products, providing users with safe and convenient living experiences.
Understand the entire process traceability in one minute! Click to watch the video👈
1. Story Card
"Full-process traceability" refers to the comprehensive recording and tracking of every stage of a product's lifecycle, from raw material procurement to production, quality inspection, warehousing, packaging, and sales. It utilizes a unique code (such as an SN code or batch number) to achieve precise management and tracing of the product's entire lifecycle information, ensuring that information about each step is traceable and accessible, allowing for timely problem detection and resolution, thereby improving quality management efficiency and transparency.
The automotive parts industry began using full-process traceability management during the transition period from the late 20th century to the early 21st century. With the advancement of globalization and technology, particularly in information technology and the Internet of Things (IoT), automotive manufacturers and suppliers started to place greater emphasis on supply chain management and product quality control. During this period, the automotive industry faced increasingly stringent safety and environmental requirements, prompting companies to adopt more advanced traceability systems to ensure the quality and safety of parts and to meet the growing demands for regulatory compliance. The introduction of full-process traceability management systems allows for effective monitoring and management of every link from raw material procurement to production, distribution, and final users.
2. Industry Pain Points and Breakthroughs
Before Application (BEFORE)
Ambiguous Production Operation Records: Traditional methods relying on paper information transmission can lead to intentional concealment or chaotic information management due to the loss of paper information, making it difficult for supervisors to obtain accurate information for on-site management and decision-making, and unclear accountability during tracing;
Disconnected Equipment Data and Products: Equipment operation data is not effectively linked to products, hindering real-time assessment of the impact of equipment on the production process, which is not conducive to tracing the processing conditions of products on equipment;
Fragile Material Traceability Chain: Unclear records of material flow make it easy for the traceability chain between raw materials and finished products to break, making it difficult to quickly determine the range of relevant products or raw materials when issues arise;
Lack of Standardized Traceability Processes: Standardized traceability processes and methods are lacking, resulting in low efficiency and accuracy in traceability work, and difficulties in data integration and interpretation, making it challenging to fundamentally resolve quality issues.
After Application (AFTER）
Precise Personnel Operation Traceability: Through multi-terminal scanning operations and digital records, accurate personnel operation traceability is achieved, making responsibilities clear, enhancing personnel traceability awareness and accountability, and providing a basis for performance assessment;
Binding Equipment Data to Products: By scanning through various mobile terminals like web, pads, and apps, equipment processing information is bound to product batches or product SN information, allowing for unified platform data storage and retrieval, thus achieving efficient management of full-process data.
Clear and Traceable Material Flow: Establish clear material flow archives, allowing for traceability of material usage at every step from raw materials to finished products, achieving precise material management and quality control, and reducing material waste;
Establishment of Standardized Traceability Processes: Formulate standardized traceability processes and operation guides to improve traceability work efficiency and accuracy, achieving effective data integration and analysis and providing strong support for quality improvement and management decision-making.
3. Scenario Analysis
Pain Points of Full-process Traceability Scenarios
Distorted Information and Chaotic Management
Traditional full-process records highly rely on paper information transmission, leading to chaotic information management (e.g., loss of paper information or intentional concealment by employees), making it difficult for supervisors to grasp full-process on-site management and optimization strategies.
Difficulties in Real-time Information Acquisition
Due to the use of offline and paper information, real-time sharing among departments is obstructed. When materials corresponding to the SN exhibit abnormalities (such as physical loss or quality issues), on-site supervisors often cannot quickly pinpoint the real-time location of the current anomaly and respond quickly to contain its impact.
Difficulties in Locating Quality Issues
Relying on manual tracing makes it challenging to quickly identify the cause of problems during product quality issues or raw material abnormalities. For example, if finished products exhibit quality problems, it is difficult to quickly identify the cause, location, and related processing conditions of raw materials. Similarly, if raw materials have quality issues, it is hard to quickly retrieve information about finished products produced using current raw materials and swiftly identify the impacted range to minimize losses.
Full-process Traceability Solutions
Value 1: Efficient Digital Management Across the Full Process
By instantly acquiring accurate operational information, management enjoys clear data support in on-site management and strategy formulation, enhancing decision-making accuracy and effectiveness. Each link, including procurement, inventory, production, inspection, packaging, and sales, can be tracked in real-time, ensuring full traceability and strengthening management efficiency and quality.
Value 2: Real-time Information Flow and Sharing
In-process Management: Online tracking of SN/batch real-time locations makes production monitoring visual, rapidly locating product positions, ensuring timely containment and minimizing impact.
Value 3: Root Cause Analysis of Quality Issues
Post-event Management: Quickly locate specific production history and raw material usage information for products, and identify key issues and root causes from the perspectives of people, machines, materials, methods, and environment, effectively preventing recurrence of similar quality problems.
Full-process Traceability Detailed Solutions
Providing timely and accurate full-process operational information
Full-process Coverage: Procurement Storage ➡️ Incoming Material Inspection ➡️ Material Preparation/Material Withdrawal ➡️ Production Material Consumption ➡️ Production Inspection ➡️ Production/Warehouse Packaging ➡️ Finished Product Whole Box Sales.
Full-process traceability supporting seamless SN code/batch code quick operations enables efficient data collection for subsequent tracing. It covers every manufacturing step for a single product or a batch of products, including complete traceability information of "people, machines, materials, methods, and environment."
Scenes & Interface Diagrams
Figure 1: View full-process operational records including inventory, production, inspection, etc., through the SN code
Real-time and Rapid Viewing and Location of SN Information
In-process Management:
View the latest location and dynamics of the SN in real-time based on time dimension, effectively avoiding loss or omission of real objects for the SN.
Quickly identify the involved products and the latest production location, enabling timely containment to minimize the impact.
Scenes & Interface Diagrams
Figure 2: View real-time locations and dynamics of the latest SN based on time dimension
Figure 3: Locate the range of finished products and quickly contain using SN code
Multi-dimensional Post-event Tracing
Post-event Management:
Reverse Tracing: According to finished product SN information, rapidly locate material usage SN/batch situations for each procedure in the BOM layer by layer, enabling quick identification of information regarding related raw materials processing and subsequent impact range within 3 minutes. This rapid localization capability can efficiently manage and control production processes, reducing errors and losses. Moreover, it helps managers understand raw material usage for better optimization of production planning and cost reduction.
Forward Tracing: Based on raw material batch/SN information, rapidly locate finished product SN information and find the affected range of finished products within 3 minutes, reducing losses in the production process.
Scenes & Interface Diagrams
Figure 4: Locate raw materials processing information and impact range using SN code
4. Application Value
Quality Improvement: Reduction in production defect rates, significant decrease in scrap and rework quantities, production costs decrease by 5%
Increased Customer Satisfaction: Rapid identification, resolution, and issuance of quality reports when issues occur, with customer satisfaction increased by 15%
Process Management Improvement: Early detection of abnormal issues for timely adjustments, with products' first-pass acceptance rate increased by 10%
5. Customer Cases
Yingshi Innovation is a technology company focused on panoramic and action cameras, founded in 2015. The company is headquartered in Shenzhen, China, and has multiple branches worldwide. Yingshi Innovation's products span various fields, including consumer-grade panoramic cameras, professional-grade panoramic cameras, action cameras, VR headsets, and more.
Luckin Technology Co., Ltd. is an innovative enterprise specializing in the smart home security field, headquartered in Beijing. Founded in 2014, the company has a research and development team composed of experienced engineers and designers, dedicated to developing smart locks, smart doorbells, smart peepholes, and other smart home products, providing users with safe and convenient living experiences.
Understand the entire process traceability in one minute! Click to watch the video👈
1. Story Card
"Full-process traceability" refers to the comprehensive recording and tracking of every stage of a product's lifecycle, from raw material procurement to production, quality inspection, warehousing, packaging, and sales. It utilizes a unique code (such as an SN code or batch number) to achieve precise management and tracing of the product's entire lifecycle information, ensuring that information about each step is traceable and accessible, allowing for timely problem detection and resolution, thereby improving quality management efficiency and transparency.
The automotive parts industry began using full-process traceability management during the transition period from the late 20th century to the early 21st century. With the advancement of globalization and technology, particularly in information technology and the Internet of Things (IoT), automotive manufacturers and suppliers started to place greater emphasis on supply chain management and product quality control. During this period, the automotive industry faced increasingly stringent safety and environmental requirements, prompting companies to adopt more advanced traceability systems to ensure the quality and safety of parts and to meet the growing demands for regulatory compliance. The introduction of full-process traceability management systems allows for effective monitoring and management of every link from raw material procurement to production, distribution, and final users.
2. Industry Pain Points and Breakthroughs
Before Application (BEFORE)
Ambiguous Production Operation Records: Traditional methods relying on paper information transmission can lead to intentional concealment or chaotic information management due to the loss of paper information, making it difficult for supervisors to obtain accurate information for on-site management and decision-making, and unclear accountability during tracing;
Disconnected Equipment Data and Products: Equipment operation data is not effectively linked to products, hindering real-time assessment of the impact of equipment on the production process, which is not conducive to tracing the processing conditions of products on equipment;
Fragile Material Traceability Chain: Unclear records of material flow make it easy for the traceability chain between raw materials and finished products to break, making it difficult to quickly determine the range of relevant products or raw materials when issues arise;
Lack of Standardized Traceability Processes: Standardized traceability processes and methods are lacking, resulting in low efficiency and accuracy in traceability work, and difficulties in data integration and interpretation, making it challenging to fundamentally resolve quality issues.
After Application (AFTER）
Precise Personnel Operation Traceability: Through multi-terminal scanning operations and digital records, accurate personnel operation traceability is achieved, making responsibilities clear, enhancing personnel traceability awareness and accountability, and providing a basis for performance assessment;
Binding Equipment Data to Products: By scanning through various mobile terminals like web, pads, and apps, equipment processing information is bound to product batches or product SN information, allowing for unified platform data storage and retrieval, thus achieving efficient management of full-process data.
Clear and Traceable Material Flow: Establish clear material flow archives, allowing for traceability of material usage at every step from raw materials to finished products, achieving precise material management and quality control, and reducing material waste;
Establishment of Standardized Traceability Processes: Formulate standardized traceability processes and operation guides to improve traceability work efficiency and accuracy, achieving effective data integration and analysis and providing strong support for quality improvement and management decision-making.
3. Scenario Analysis
Pain Points of Full-process Traceability Scenarios
Distorted Information and Chaotic Management
Traditional full-process records highly rely on paper information transmission, leading to chaotic information management (e.g., loss of paper information or intentional concealment by employees), making it difficult for supervisors to grasp full-process on-site management and optimization strategies.
Difficulties in Real-time Information Acquisition
Due to the use of offline and paper information, real-time sharing among departments is obstructed. When materials corresponding to the SN exhibit abnormalities (such as physical loss or quality issues), on-site supervisors often cannot quickly pinpoint the real-time location of the current anomaly and respond quickly to contain its impact.
Difficulties in Locating Quality Issues
Relying on manual tracing makes it challenging to quickly identify the cause of problems during product quality issues or raw material abnormalities. For example, if finished products exhibit quality problems, it is difficult to quickly identify the cause, location, and related processing conditions of raw materials. Similarly, if raw materials have quality issues, it is hard to quickly retrieve information about finished products produced using current raw materials and swiftly identify the impacted range to minimize losses.
Full-process Traceability Solutions
Value 1: Efficient Digital Management Across the Full Process
By instantly acquiring accurate operational information, management enjoys clear data support in on-site management and strategy formulation, enhancing decision-making accuracy and effectiveness. Each link, including procurement, inventory, production, inspection, packaging, and sales, can be tracked in real-time, ensuring full traceability and strengthening management efficiency and quality.
Value 2: Real-time Information Flow and Sharing
In-process Management: Online tracking of SN/batch real-time locations makes production monitoring visual, rapidly locating product positions, ensuring timely containment and minimizing impact.
Value 3: Root Cause Analysis of Quality Issues
Post-event Management: Quickly locate specific production history and raw material usage information for products, and identify key issues and root causes from the perspectives of people, machines, materials, methods, and environment, effectively preventing recurrence of similar quality problems.
Full-process Traceability Detailed Solutions
Providing timely and accurate full-process operational information
Full-process Coverage: Procurement Storage ➡️ Incoming Material Inspection ➡️ Material Preparation/Material Withdrawal ➡️ Production Material Consumption ➡️ Production Inspection ➡️ Production/Warehouse Packaging ➡️ Finished Product Whole Box Sales.
Full-process traceability supporting seamless SN code/batch code quick operations enables efficient data collection for subsequent tracing. It covers every manufacturing step for a single product or a batch of products, including complete traceability information of "people, machines, materials, methods, and environment."
Scenes & Interface Diagrams
Figure 1: View full-process operational records including inventory, production, inspection, etc., through the SN code
Real-time and Rapid Viewing and Location of SN Information
In-process Management:
View the latest location and dynamics of the SN in real-time based on time dimension, effectively avoiding loss or omission of real objects for the SN.
Quickly identify the involved products and the latest production location, enabling timely containment to minimize the impact.
Scenes & Interface Diagrams
Figure 2: View real-time locations and dynamics of the latest SN based on time dimension
Figure 3: Locate the range of finished products and quickly contain using SN code
Multi-dimensional Post-event Tracing
Post-event Management:
Reverse Tracing: According to finished product SN information, rapidly locate material usage SN/batch situations for each procedure in the BOM layer by layer, enabling quick identification of information regarding related raw materials processing and subsequent impact range within 3 minutes. This rapid localization capability can efficiently manage and control production processes, reducing errors and losses. Moreover, it helps managers understand raw material usage for better optimization of production planning and cost reduction.
Forward Tracing: Based on raw material batch/SN information, rapidly locate finished product SN information and find the affected range of finished products within 3 minutes, reducing losses in the production process.
Scenes & Interface Diagrams
Figure 4: Locate raw materials processing information and impact range using SN code
4. Application Value
Quality Improvement: Reduction in production defect rates, significant decrease in scrap and rework quantities, production costs decrease by 5%
Increased Customer Satisfaction: Rapid identification, resolution, and issuance of quality reports when issues occur, with customer satisfaction increased by 15%
Process Management Improvement: Early detection of abnormal issues for timely adjustments, with products' first-pass acceptance rate increased by 10%
5. Customer Cases
Yingshi Innovation is a technology company focused on panoramic and action cameras, founded in 2015. The company is headquartered in Shenzhen, China, and has multiple branches worldwide. Yingshi Innovation's products span various fields, including consumer-grade panoramic cameras, professional-grade panoramic cameras, action cameras, VR headsets, and more.
Luckin Technology Co., Ltd. is an innovative enterprise specializing in the smart home security field, headquartered in Beijing. Founded in 2014, the company has a research and development team composed of experienced engineers and designers, dedicated to developing smart locks, smart doorbells, smart peepholes, and other smart home products, providing users with safe and convenient living experiences.
