Quality, Safety & Production: interview questions and learning guide
Six Sigma, workplace safety and production flow
Practise Quality, Safety & Production on Padimachi
What you will learn
Quality & process improvement
Quality is not inspecting defects out; it is building the process so defects do not happen.
Quality teams measure defects, find the biggest causes with Pareto charts, dig into root causes with 5 Whys or fishbone diagrams and then fix the process. DMAIC gives Six Sigma projects a structure, SPC charts show when a process drifts, and FMEA ranks risks before they happen.
Interview tip: Quote results as numbers: defects before and after.
Workplace safety (EHS)
A safe site is designed, not hoped for.
Safety professionals identify hazards, assess risk and apply the hierarchy of controls: eliminate, substitute, engineer, administrative controls and finally PPE. They investigate incidents and near misses, manage permits for high-risk work and make sure people are trained.
Interview tip: Show you prevent incidents, not just report them.
Industrial engineering & production flow
The slowest step sets the speed of the whole line.
Industrial engineers study how work flows. They measure cycle time at each station, find the bottleneck, balance the line to match takt time and track equipment performance with OEE. Kanban limits work in progress so problems appear early.
Interview tip: Bring a before and after number such as output per shift.
SPC and control charts
A control chart is a heart monitor for a process: it tells you when the rhythm changes before the patient collapses.
Statistical process control watches a process using small samples taken over time. Every process has natural variation, and a control chart draws limits around it. A point outside the limits or a clear pattern shows a special cause that needs action. Reacting to normal noise only makes things worse. Capability indices then compare process spread with the customer specification to show whether parts will fit.
Interview tip: Say that control limits come from the process while specification limits come from the customer.
FMEA and root cause analysis
Good engineers do not fix the fever, they find the infection, and FMEA finds it before anyone gets sick.
FMEA is a team method that lists how a product or process could fail, what the effect would be, and how it would be found. Each risk is rated for severity, occurrence and detection. The highest risks get actions first. Root cause analysis works after a failure: tools like fishbone, why-why and fault tree dig below the symptom. A fix is proven only when the cause is removed and the problem stays away.
Interview tip: Always finish a root cause story with the action taken and how you checked it worked.
TPM and maintenance management
A machine is like a bicycle: oil it and check the tyres daily and you rarely walk home.
Maintenance types run from fixing after a breakdown, to servicing on a schedule, to using data to predict wear. Total productive maintenance spreads care across the plant so operators clean, inspect and lubricate their own machines. Overall equipment effectiveness shows how much of the planned time makes good parts at full speed. Metrics such as mean time between failures guide spare parts and service plans. A CMMS keeps work orders and history in one place.
Interview tip: Know the three OEE parts: availability, performance and quality.
Lean tools and value stream mapping
Lean is spring cleaning for work: keep what adds value and throw out the clutter around it.
Lean looks at flow through the eyes of the customer. Anything that does not add value is waste, such as waiting, extra motion and overproduction. A value stream map draws every step with its time, so delays and stock piles become visible. Teams then pick tools to fix them: pull systems limit work in progress, quick changeover shortens setups, and mistake-proofing stops errors at source. Improvement is steady and shared by everyone.
Interview tip: Quote real numbers such as lead time before and after when you tell a lean story.
Interview questions and sample answers
State the problem, gather data, ask why repeatedly, confirm the cause, take action and show the measured result.
From most to least effective: eliminate, substitute, engineering controls, administrative controls and PPE.
Measure the cycle time at each step, find the slowest one, then rebalance work, add capacity or improve the method.
5S is Sort, Set in order, Shine, Standardize and Sustain, used to keep workplaces organised, safe and efficient.
Measure defects, use Pareto to pick the biggest cause, remove the root cause and use control charts and standards to hold the gain.
A defect is a single flaw. A defective is a unit with one or more defects.
Define, Measure, Analyse, Improve, Control. The Six Sigma method to fix a process problem with data.
A hazard is something that can cause harm. Risk is the chance and severity of that harm happening.
Available production time divided by customer demand. It is the pace at which units must be made to meet demand.
A time plot of a process measure with control limits, used to see if variation is normal or needs action.
Finding the real cause of a problem, using 5 whys, fishbone diagrams and data checks, then fixing and verifying.
Give first aid, make the area safe, report, investigate the cause, fix it and share the learning.
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