Discrete Event Simulation

Throughput Optimisation Simulation

Q: Can you embed simulation in our operational decision-making?

Yes · 'evaluation' rather than one-time 'simulation'. We deliver a model your operations team can re-use to evaluate new scenarios (new product launch, capacity expansion, schedule change) on their own. Increasingly delivered as a Wistwin module.

Q: Why is this called 'evaluation' on your forms?

Two reasons. First · simulation is too narrowly perceived (just animation, not decision tool). Second · clients hire us to evaluate alternatives + decide, not to make pretty animations. The output is the decision evidence, not the model itself.

Discrete event simulation to evaluate and remove production bottlenecks.

Your assembly line, packing line, port terminal, or mine haul fleet has a bottleneck somewhere · usually not where intuition says. We model the system in FlexSim or AnyLogic, run thousands of scenarios, and tell you · with simulation evidence · which intervention buys the most throughput per rupee of capex.

Why this matters

Why intuition is wrong about bottlenecks 50% of the time

Plant managers and process engineers know their line. They know where the queue forms, where the operators get stuck, where the WIP piles up. They are right about the symptoms · and wrong about the cause about half the time. Bottlenecks shift under different operating conditions, propagate from invisible upstream sources, and create false signals (long queue at Station 5 because of inadequate buffering, not because Station 5 is slow). Discrete event simulation removes the guesswork · we model the actual flow, parameterise the variables, and prove which intervention works before you spend the capex.

Method

How we deliver Throughput Optimisation Simulation

CEng MIE India-signed deliverables · LiDAR-powered where applicable · digital twin handover ready · routes to the Discrete Event Simulation practice lead within 24 hours.

System modelling

Process flow mapped from your shop-floor walk + MES/SCADA data extracts. Cycle times, downtime patterns, operator availability, changeover rules all captured.

Model build + validation

Model built in FlexSim (manufacturing/process), AnyLogic (multi-method), or Simio (high-fidelity industrial). Validated against your 3-6 month operating history.

Bottleneck analysis

Bottlenecks isolated by simulation experiment · throughput, queue length, utilisation, blocking ratio all measured per workstation.

Scenario evaluation

Multiple intervention scenarios tested · additional capacity, buffer resizing, scheduling changes, alternate routings, OEE improvements. Throughput uplift + capex + ROI tabulated.

Recommendation + sign-off

Ranked intervention list. Decision-grade evidence package. CEng MIE-signed. Animation ready for board / shop-floor briefing.

Standards + compliance

Built to the standards your auditors quote

Reports reference the international and national standards your regulators, F500 audit teams, and corporate process safety leads cite. Every deliverable signed by a Chartered Engineer (CEng MIE India).

ISA-95 · Enterprise-Control System Integration (manufacturing reference)
BPMN · Business Process Model and Notation
ISO 22400 · KPIs for manufacturing operations management
VV&A IEEE 1730 · Verification, Validation, and Accreditation
ISO 18834 (under development) · Discrete event simulation reporting

Anonymous case anchors

What this looks like in production

Three anonymised engagements from our verified roster · quantified outcomes, no client names disclosed without written permission.

Auto plant, India · BIW shop

Body-in-white shop throughput uplift programme. Simulation showed 12% gain available from buffer resizing + sequencing change · capex 18% of forecast for same uplift.

Port, Singapore · STS crane scheduling

Container handling simulation. Optimal STS crane allocation rule identified · 8% TEU/hr uplift without crane addition.

Mine, Australia · truck haul cycle

Open-pit haul fleet simulation. Identified shovel queueing rules + truck routing that reduced cycle time 7% · annual production uplift 350,000 t.

Frequently asked

Throughput Optimisation Simulation · the practical questions

FlexSim or AnyLogic · what do you use?

FlexSim for discrete-event manufacturing / process. AnyLogic for systems that combine DES + agent-based + system dynamics (large-scale supply chain, mining haul fleet, hospital patient flow). Simio for ultra-high-fidelity discrete event work where animation realism matters.

How much data do you need from us?

Process flow + cycle times + downtime patterns + operator availability + changeover rules + product mix. 3-6 months of MES/SCADA / production data is typical. We can work with less but model fidelity suffers.

How do you validate the model is realistic?

We tune the model to reproduce your historical KPIs (throughput, OEE, queue lengths) within tight tolerance (typically < 5% error vs operating history). If we can't match history, the model isn't ready to predict the future.

Can you embed simulation in our operational decision-making?

Yes · 'evaluation' rather than one-time 'simulation'. We deliver a model your operations team can re-use to evaluate new scenarios (new product launch, capacity expansion, schedule change) on their own. Increasingly delivered as a Wistwin module.

Why is this called 'evaluation' on your forms?

Two reasons. First · simulation is too narrowly perceived (just animation, not decision tool). Second · clients hire us to evaluate alternatives + decide, not to make pretty animations. The output is the decision evidence, not the model itself.

Scope your Throughput Optimisation Simulation engagement.

Tell us your plant, region, and scope · a named Chartered Engineer responds within 24 hours.

4 fields. No phone interview to start.
Per-discipline routing to the Discrete Event Simulation practice lead.
Anonymous case anchors sent with first reply.
Same-day callback for deadline-driven enquiries.

Simulation / Evaluation Scoping

FlexSim · AnyLogic · Simio · decision-grade ROI evaluation.