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Process Rejection Study / Standard Instruction for Processes / Quality Control Parameter Setup

YouTube: Process Rejection /Quality Control Analysis

๐Ÿงญ Overview

In a structured production environment, maintaining consistent product quality, ensuring adherence to process instructions, and tracking reasons for rejection are crucial to operational success. This tutorial outlines how to manage:

  • โœ… Job Order Instructions

  • โŒ Production Rejections & Reasons

  • ๐Ÿ”ฌ Quality Control (QC) Parameters

  • ๐Ÿ“Š Reports for process analysis and quality insights

This process is especially helpful in garment, textile, electronics, or any discrete manufacturing industry.


๐Ÿ› ๏ธ Step 1: Set Up Job Order Instructions

๐Ÿ” What Are Job Order Instructions?

These are process-specific guidelines that ensure production is carried out correctly and consistently. They help reduce human errorโŒ, improve product quality๐Ÿ”ง, and maintain standardization๐Ÿ† across batches.

๐Ÿ“ Example Instructions:

  • ๐Ÿชกโ€œUse needle size 11 for lightweight fabricโ€

  • ๐Ÿ“โ€œEnsure 2-inch margin before stitching beginsโ€

  • ๐Ÿงชโ€œRun pre-wash test on dyed fabricโ€

๐Ÿ“Œ How to Set Up:

  1. Go to Production, then click on Production Setups and select Setup Job Order Instructions in your system.

  2. Click โž•Add New.

  3. Enter:

    • Instruction Title๐Ÿท๏ธ.

    • Applicable Process๐Ÿ”„ (e.g., Cutting, Stitching)

  4. ๐Ÿ’พSave the instructions.

โœ… These instructions can now be linked to job orders at the time of creation, ensuring operators and supervisors are aligned.


โŒ Step 2: Define Rejection Reasons

๐Ÿ” Why Track Rejections?

Understanding why items are rejected helps identify recurring production issuesโ€”whether due to machines๐Ÿ› ๏ธ, materials๐Ÿงต, or human error๐Ÿ‘ท.

๐Ÿ“ Common Rejection Reasons:

  • ๐ŸฉณFabric torn during stitching.

  • ๐Ÿ”Stitch skipping.

  • ๐Ÿ“Size mismatch.

  • ๐ŸŽจPrint misalignment.

๐Ÿ“Œ How to Set Up:

  1. Navigate to Production, click and expand Production Setups, then select Setup Production Rejection Reasons option.

  2. Add relevant reasons with clear names and descriptions.

  3. Save them for future selection during production entry.

๐Ÿง  These reasons are linked during production receipt so you can run historical analysis later.


A Job Order๐Ÿงต defines what is being produced, in what quantity, and through which processes.

๐Ÿ“Œ How to Create:

  1. Navigate to the Production option, then expand Production Vouchers and select Job Order.

  2. Open Job Order screen.

  3. Enter:

    • ๐Ÿท๏ธProduct Name

    • ๐Ÿ”ขQuantity to be produced

    • ๐Ÿ”„Related Processes (e.g., Cutting โ†’ Stitching โ†’ Finishing)

  4. โž•Add Job Order Instructions per process (select from the instruction master).

  5. ๐Ÿ’พSave the entry.

๐Ÿ”— This ensures instructions flow with the job from one department to another.


๐Ÿ“ค Step 4: Issue the Job for Processing

This is where you assign the job to a worker๐Ÿ‘ท, team, or external party๐ŸŒ.

๐Ÿ“Œ How to Issue:

  1. Go to Production, then select Production Voucher option and click on Issue For Processing - First Process.

  2. Select:

    • ๐Ÿ› ๏ธProcess (e.g., Cutting)

    • ๐Ÿ‘ฅWorker or Team Name

    • ๐Ÿ”—Link the appropriate Job Order

  3. Enter issue quantity๐Ÿ’พ and save๐Ÿ’พ.

๐Ÿ“ฆ This officially starts production and moves inventory to WIP (work in process).


๐Ÿงฎ Step 5: Record Production & Enter Rejections

Once a process is completed (e.g., stitching), the team enters the output and any rejected items.

๐Ÿ“Œ How to Enter:

  1. Navigate to the Production section, then select Production Vouchers option and select Receipts Against Issues - Internal.

  2. Open Production Receipt.

  3. Enter:

    • Process Completedโœ….

    • Produced Quantity.

  4. In the Rejection columnโŒ, press the spacebar.

  5. Enter:

    • ๐Ÿ›‘Rejection Reason (select from master)

    • ๐Ÿ”ขQuantity rejected

  6. ๐Ÿ’พSave the document.

๐Ÿ” Multiple rejection reasons can be added for a single receipt if applicable.


๐Ÿ”ฌ Step 6: Perform Quality Control (QC) Check

The Quality Control department checks whether the product meets internal or client standards๐Ÿ“โœ”๏ธ.

๐Ÿ“Œ How to Perform QC:

  1. Navigate to the Production section, then select Production Vouchers option, and select QC Document against Production Receipts.

  2. Open the QC Entry screen.

  3. Select the related Production Receipt.

  4. Click Refresh๐Ÿ” to fetch item data.

  5. In the QC Details column, press the spacebar.

  6. Enter:

    • ๐ŸงชParameter Name (e.g., GSM, Tensile Strength).

    • โœ๏ธMeasured Value.

    • Result (Passโœ…/FailโŒ).

  7. Save the QC report.

๐Ÿ“ Example QC Parameters:

  • Fabric GSM: 180 ยฑ 5%

  • Colorfastness Rating: โ‰ฅ 4

  • Stitch Count: 9-10 stitches/inch

๐Ÿ“Š These QC entries ensure transparency and help identify process weaknesses early.


๐Ÿ“ˆ Step 7: Monitor via Reports

Several reports are available to monitor job health, quality, and rejection trends๐Ÿ“‰๐Ÿ“ˆ.

๐Ÿ“‹๐Ÿ’ผ Key Reports:

Report Name
Description

๐ŸงพJob Order Production Status

Shows produced vs. rejected quantities for each job

โŒRejection Reason Report

Lists top rejection causes and affected quantities

๐Ÿ”ฌQuality Control Summary

Tracks QC status by item, batch, or job order

๐Ÿ“ŠInstruction Compliance Report

(Optional) Verifies if job instructions were acknowledged and followed

๐Ÿ“Œ Use these reports weekly/monthly to analyze trends and improve production efficiency๐Ÿ“….


โœ… Key Benefits of This Workflow

  • ๐ŸŽฏ Standardization: Ensures that every team follows the same production process.

  • ๐Ÿง  Root-Cause Analysis: Helps isolate and correct frequent issues.

  • โฑ๏ธ Efficiency: Reduces errors, waste, and rework by providing structure.

  • ๐Ÿ“Š Data-Driven Decisions: Improves management oversight with real-time reporting.

  • ๐Ÿ“ฆ Product Quality: Enhances customer satisfaction by delivering consistent, high-quality output.


๐Ÿš€ Conclusion

Implementing a structured approach for job order instructions, rejection management, and quality control is essential for efficient and scalable๐Ÿ“ˆ production. These tools not only help prevent problems but also build a data-backed framework for continuous improvement๐Ÿ”„.

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