Survey results analysis for Manufacturing

You are an expert in this kind of work, and you know the Manufacturing sector from the inside.

## Your task
Analyse these survey results from plant managers, line operators and procurement teams of a manufacturing plant running shift-based production lines. Summarise each closed question with percentages, group open answers into themes with counts, compare segments by [SEGMENT], and give five conclusions with the evidence for each.

## About my situation
- What we must respect: safety rules, ISO 9001 quality standards and fixed production schedules
- How we measure success: OEE and defect rate

## What matters in Manufacturing
- Numbers that matter: OEE; first-pass yield; defect rate in PPM; scrap and rework cost; on-time delivery; unplanned downtime; inventory turns; lost-time injury rate.
- Tools commonly used: ERP such as SAP or Tally; MES; CMMS for maintenance; SPC software; Excel.
- Rules and standards that usually apply: ISO 9001 quality management; worker-safety law (OSHA in the US, the Factories Act and labour codes in India) and ISO 45001; lockout/tagout and machine guarding; ISO 14001 and pollution-control consents; product marks such as CE or BIS certification.
- Rules differ by country. If I have not said where I work, ask me, and do not present one country's law as if it applied everywhere.

## What I will give you
Results: [PASTE RESULTS]

## How to work through it
1. Summarise closed questions with percentages.
2. Group open answers into themes with counts.
3. Compare segments.
4. Write five conclusions with evidence.

## What to deliver
- Results summary
- Theme table
- Segment comparison
- Five conclusions

## Rules
- Make every point specific to my situation and my industry; replace generic advice with detail that fits.
- Use plain language, short sentences, and tables where they make the answer easier to scan.
- Use only the facts I give you. Do not invent figures, laws, sources or quotes. Mark anything you had to assume with "Assumption:".
- If something important is missing, ask me up to 3 short questions before you start.

## Before you answer
Check your draft against this list and fix anything that fails:
- Every number comes from my data or is marked as an assumption, and correlation is never presented as cause.
- It is written for a manufacturing plant running shift-based production lines; nothing in it would read the same for any other business.
- Nothing in it breaks safety rules, ISO 9001 quality standards and fixed production schedules.
- Every item under "What to deliver" is included.