Guide to Interpreting LOG Reports and Explanation of Key Indicators for Production Traceability

In the system deployment phase of electronic manufacturing (e.g., notebook OEM, industrial computer production), the LOG report generated by the JMEGA duplicator serves as the "data core" for production traceability. It not only records the entire process of hard disk duplication but also undertakes the crucial role of "identifying problems, controlling quality, and optimizing efficiency". However, for production managers or operators who are new to this, how can they quickly understand LOG reports and extract key information? And which indicators are the focus of attention for production traceability?

I. Basic Interpretation of LOG Reports: 3 Steps to Understand Core Information

The LOG report of the JMEGA duplicator adopts a "structured table" format (exportable as TXT/CSV), where each record corresponds to a system duplication task for one device. The core information is divided into three modules: the "Basic Identification Area", "Process Data Area", and "Result Verification Area". Below is an excerpt from an actual LOG report of a notebook OEM factory, which we will analyze using the "3-step interpretation method":

JMEGA PF-X600H LOG Report (Single Record)

Step 1: Locate the "Unique Identifier" to Lock the Specific Device

First, look at the "Basic Identification Area" to quickly associate it with the specific device in production. Focus on three key pieces of information:

1. Task ID: For example, "T230801-056" follows the coding rule of "T + Date (Year/Month/Day) - Task Sequence Number". It represents the 56th duplication task on August 1, 2024, and is used for quick internal retrieval.

2. Target Disk Serial Number: For example, "SSD7654009821" is the unique hardware identifier of the hard disk, which can be linked to the hard disk supplier and procurement batch (for tracing upstream quality).

3. Associated Device SN: For example, "NB-24080056" is the unique serial number of the final product (such as a notebook or industrial computer), directly corresponding to the device of the end customer, and serves as the core entry point for "end-user problem tracing".

Interpretation Scenario: If a customer reports that "the notebook with SN NB-24080056 has a system blue screen", you only need to search for this SN in the LOG report to locate the corresponding duplication task, without having to search through paper records.

Step 2: Check the "Process Data" to Reconstruct the Entire Duplication Process

Next, refer to the "Process Data Area" to understand how the system duplication for the device was performed. Focus on four key pieces of information:

1. Time Information: The start time (09:12:35) and end time (09:13:08) allow calculation of the duplication time (33 seconds). If the time is much longer than the average for the same model (e.g., normally around 30 seconds, a 33-second task is normal; if it exceeds 60 seconds, it may be due to a loose hard disk interface or high master disk load).

2. Master Disk Information: For example, "Samsung 990 Pro/SSD8923001567" represents the model and serial number of the master disk used in this duplication. If a batch of devices has problems collectively, you can check whether they all used the same master disk (e.g., batch failures caused by a damaged master disk image).

3. Duplication Mode: Divided into "Quick Duplication" (only duplicates the system data area, with high speed) and "Full Duplication" (duplicates the entire hard disk sectors).

4. Duplication Speed: For example, "58.9GB/min" is close to the theoretical speed of the PF-X600H (60GB/min), which is within the normal range. If the speed is lower than 40GB/min, it is necessary to check whether the hard disk is of poor quality (such as an SSD with used chips) or if there is a fault in the duplicator channel.

Step 3: Focus on "Result Verification" to Judge Duplication Quality

Finally, examine the "Result Verification Area" to confirm whether the system duplication is qualified and whether there are risks. Focus on two key pieces of information:

1. CRC Verification Result: Divided into "Consistent", "Inconsistent", and "Not Verified" — this is the core indicator for judging data integrity:

◦ "Consistent": Indicates that the data on the target disk is identical to that on the master disk, and the duplication is qualified.

◦ "Inconsistent": Indicates data transmission errors (such as hard disk bad sectors or interface interference), and the device needs to be reworked.

◦ "Not Verified": May be caused by the operator manually skipping the verification. It is necessary to check whether this is an irregular operation (some factories require 100% verification).

1. Abnormal Remarks: For example, "None" means there are no abnormalities. If remarks such as "Hard Disk Recognition Failure", "Duplication Interruption", or "Master Disk Reading Error" appear, it is necessary to analyze the on-site situation. For instance, "Hard Disk Recognition Failure" may be due to a damaged target disk interface, requiring the hard disk to be replaced before re-duplication.

II. Key Indicators for Production Traceability: 4 Types of Indicators to Identify Core Problems

After understanding the LOG report, it is more important to realize production traceability through "key indicator analysis" — that is, extending from a single LOG record to "batch data" to identify hidden problems in production (such as master disk quality, operator standardization, and equipment stability). The following are 4 types of key indicators that must be focused on for production traceability:

1. Quality Indicators: Control Duplication Qualification Rate and Reduce Rework Rate

Quality indicators are the "core line of defense" for production traceability, with two key indicators focused on monitoring:

• CRC Verification Qualification Rate

Calculation Formula: (Number of tasks with consistent CRC verification / Total number of tasks) × 100%

Normal Range: ≥99.5% (electronic manufacturing industry standard)

Traceability Value: If the qualification rate of a certain batch suddenly drops to 95%, it is necessary to check:

① Whether the master disk is damaged (e.g., tasks corresponding to the same master disk are "inconsistent" in batches);

② Whether the quality of the target disk is abnormal (e.g., the unqualified rate of a batch of Kingston hard disks reaches 8%, requiring tracing to the supplier);

③ Whether there is a fault in the duplicator channel (e.g., the unqualified rate of tasks in Channel 3 of the PF-X600H reaches 10%, while other channels are normal, which may be due to a loose channel interface).

• Abnormal Task Proportion

Calculation Formula: (Number of tasks with "abnormal remarks" / Total number of tasks) × 100%

Normal Range: ≤0.3%

Traceability Value: If the proportion of "Hard Disk Recognition Failure" abnormalities increases, it may be that the operator is not inserting the disk correctly (e.g., not inserting it tightly), and training needs to be strengthened.

2. Efficiency Indicators: Optimize Production Rhythm and Improve Production Capacity

Efficiency indicators help production managers identify "efficiency bottlenecks", with two key indicators focused on monitoring:

• Average Duplication Time

Calculation Formula: (Total duplication time of all tasks / Total number of tasks)

Reference Range: Approximately 28-35 seconds for 30GB of data (PF-X600H)

Traceability Value: If the average time of a certain team is 15 seconds more than that of other teams, it is necessary to check whether the type of target disk is different (e.g., the team uses SATA hard disks, while other teams use NVMe hard disks).

• Equipment Utilization Rate

Calculation Formula: (Actual working time of the duplicator / Scheduled working time) × 100%

Normal Range: ≥85% (under an 8-hour single-shift working system, the actual working time is ≥6.8 hours)

Traceability Value: If the utilization rate of a certain duplicator is only 60%, it is necessary to check whether "equipment failures" occur frequently (such as channel errors or hard disk jams), or whether there is "material shortage stagnation" (target disks not delivered in time).

3. Compliance Indicators: Meet Customer Audits and Avoid Compliance Risks

Compliance indicators are the "key evidence" for OEM factories to cope with customer (e.g., international brand) audits, with two key indicators focused on monitoring:

• Data Integrity

Definition: The completeness of "mandatory fields (such as device SN, master disk serial number, verification result)" in the LOG report.

Requirement: 100% completeness (no null values, no incorrect codes)

Traceability Value: If the customer finds that the "master disk serial number" of a batch of LOG reports is empty during the audit, it may be judged as "missing traceability data", leading to audit failure. By monitoring this indicator, missing data can be supplemented in advance to avoid compliance losses.

• Operational Standardization

Definition: Whether the operator performs operations in accordance with the SOP (Standard Operating Procedure) (e.g., whether 100% CRC verification is enabled, whether the specified master disk is used).

Requirement: Irregular operation proportion ≤0.1%

Traceability Value: If it is found that an operator has 10% of tasks with "CRC verification not enabled", immediate training and rectification are required — to avoid batch quality problems caused by irregular operations and ensure "100% compliance of operation records" during the audit.

4. Upstream Traceability Indicators: Identify Supply Chain Quality Problems

The LOG report can not only trace the production link but also link to the upstream supply chain (such as hard disk suppliers), with one key indicator focused on monitoring:

• Supplier Batch Qualification Rate

Calculation Formula: (Number of qualified duplication tasks for a certain batch of hard disks from a supplier / Total number of tasks for that batch) × 100%

Reference Range: ≥99.8%

Traceability Value: If the qualification rate of "the July 2024 batch of NVMe hard disks from Supplier A" is only 92%, far lower than that of other batches, it is necessary to:

① Suspend the use of this batch of hard disks to avoid more defective products;

② Feedback the problem to the supplier and request a quality inspection report;

③ Trace which customer orders this batch of hard disks has been used for and communicate with customers in advance about contingency plans (e.g., prioritizing after-sales service if problems occur).

III. Practical Skills: 3 Methods to Maximize the Value of LOG Reports

1. Batch Export + Comparative Analysis: Export the LOG reports of the entire factory every week, and use the "pivot table" of CSV/TXT to group data by "team, duplicator number, supplier" to compare key indicators across various dimensions. For example, if it is found that "the CRC unqualified rate of Duplicator 3 is 5 times that of other machines", the equipment fault can be quickly located.

2. Abnormal Early Warning Setting: Set "indicator threshold warnings" in the management background of the JMEGA duplicator — such as "automatically sending an email reminder when the CRC unqualified rate exceeds 1%" and "popping up an alarm when the abnormal task proportion exceeds 0.5%", to prevent the problem from expanding.

3. Linkage with MES System: Bind the "target disk serial number and device SN" of the LOG report with the "assembly workstation, inspection result, and delivery order number" of the MES system. For example, when a customer reports a problem, you can not only view the duplication data but also check whether the device missed parts during assembly or had errors during inspection, realizing a "full-process traceability closed loop".

Conclusion

For production managers, the LOG report is not a "cold data table" but a "microscope for production traceability". By interpreting the "identification, process, and result" information in the report and combining the four major types of key indicators (quality, efficiency, compliance, and upstream), they can not only quickly locate problem devices reported by end customers but also identify hidden risks in production in advance (such as damaged master disks, declining supplier quality, and operator irregularities).

The design of the LOG report for the JMEGA duplicator is based on the traceability needs of electronic manufacturing, achieving "comprehensive data, clear format, easy export, and linkability". Whether it is a notebook OEM factory coping with customer audits or an industrial computer manufacturer controlling batch quality, the LOG report can be used to realize "traceability of every device and localization of every problem", ultimately reducing costs and enhancing trust.