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LinkedTIERRA Dynamics
Core practice◉ Active engagement

Operations as an engineered system.
Not as advice.

LinkedTIERRA Dynamics is the engineering practice that built this company. Lean Six Sigma, workflow design, throughput modeling, capacity engineering — applied with measurement-grade rigor, not slide-deck recommendations.

Engineer
Measure
Validate
Deploy
Lean Six Sigma BBWorkflow designThroughput modelingCapacity planningMulti-site systemsDMAIC engagements

Since 2017

Operating practice

6 wks

Diagnostic engagement

-47%

Avg variance reduction

DMAIC METHODOLOGYDEFINE · MEASURE · ANALYZE · IMPROVE · CONTROLDDEFINEMMEASUREAANALYZEIIMPROVECCONTROLITERATETAKT TIME VARIANCE · 12 CYCLESBEFOREAFTER50250TARGET BAND24681012-47%

The methodology · What makes ours different

We engineer operations. We don't advise on them.

The Lean industry is full of consultants who deliver PowerPoint and leave. Dynamics treats your operation like a system to be engineered — with measurements, models, controls, and accountability. Here's the practical difference, line by line.

Advisory Lean

Engineering Lean (ours)

Deliverable

Slide deck with recommendations

Working process model + control plan

Measurement

Self-reported by management

Time-stamped, sensor-verified, audit-trailed

Validation

Pre/post anecdotes

Statistical comparison vs held-out baseline

Hand-off

Training + good luck

Control charts + alert thresholds + LinkedTIERRA Live

Accountability

Invoice paid, relationship ends

Outcomes monitored for 90 days post-engagement

Reversibility

Hope nothing was lost in translation

Full process documentation + rollback plan

◉ The takeaway

Advisory Lean tells you what to change. Engineering Lean delivers the change, instrumented and monitored.

That accountability is why our engagements end with a control plan tied to LinkedTIERRA Live — not a final deck and an invoice.

The services · Five core offerings

From a single workstation to a fleet of facilities.

Each service is independently scoped and priced. Most engagements blend two or three — workflow design often surfaces throughput questions, which lead naturally to capacity work.

01
Foundation · Floor-upProduction

Workflow & Process Design

From observation to engineered process.

We map your operation by walking the floor — not by interviewing the org chart. Every workstation, handoff, and material movement gets time-stamped and modeled. The output is a process map that matches reality, with bottlenecks identified by measurement, not opinion.

Scope

  • On-site process observation (40+ hours typical)
  • Time-stamped value-stream mapping
  • Spaghetti diagram + motion analysis
  • Bottleneck identification by data
  • Future-state design with redline drawings

Outputs

  • Value-stream maps (current + future state)
  • Annotated floor layouts
  • Process control plans

Built with

VisioBizagiAutoCADiGrafx
02
Modeling · QuantitativeProduction

Throughput Modeling

Math, not opinion.

Discrete-event simulation of your facility's throughput. We build a runnable model in Python or specialized DES software, validate it against actual production data, and use it to test interventions — before you spend capital. Outcomes have confidence intervals, not vibes.

Scope

  • Discrete-event simulation build (SimPy / FlexSim)
  • Calibration against historical data
  • Sensitivity analysis on input variables
  • Capacity stress-testing
  • What-if scenario reports

Outputs

  • Validated DES model
  • Throughput forecast with confidence bounds
  • ROI-ranked intervention list

Built with

SimPyFlexSimPython · NumPyAnyLogic
03
Engineering · Constraint analysisProduction

Capacity & Utilization Engineering

The 20% of constraints driving 80% of loss.

Theoretical vs actual capacity rarely matches. We instrument the gap. The work identifies which constraints are real and which are perceived, then engineers solutions ranked by capital efficiency — often before any equipment is purchased.

Scope

  • Theoretical capacity baseline
  • Real capacity measurement (OEE, availability, performance, quality)
  • Constraint identification (TOC methodology)
  • Utilization variance analysis
  • Equipment-buy vs process-fix recommendations

Outputs

  • OEE dashboard (per-asset, per-line)
  • Constraint analysis report
  • Capital deferral recommendations

Built with

OEE.ioPower BIPython · pandas
04
Engagement · DMAIC◉ Active engagement

Lean Six Sigma Engagements

Black Belt rigor, measurable outcomes.

Full DMAIC engagements run by Black-Belt-certified practitioners. Define the problem in measurable terms, Measure the baseline, Analyze the root cause, Improve with data-validated interventions, Control with monitoring tied to LinkedTIERRA Live. Variance reduction and defect-rate engineering at the core.

Scope

  • Define phase: problem statement + project charter
  • Measure phase: MSA + capability analysis
  • Analyze phase: root cause + statistical tests
  • Improve phase: pilot + validation
  • Control phase: control plan + ongoing monitoring

Outputs

  • Project charter + scope
  • Statistical analysis reports
  • Control plan with alert thresholds

Built with

MinitabJMPPython · scipyControl charts
05
Scale · Multi-facilityEmerging

Multi-Site Systems Alignment

Same methodology, every facility.

For organizations with 3+ facilities. The work standardizes the engineering language across sites while preserving local optimization. Each facility keeps its specific tuning, but reporting, measurement, and operating definitions stay consistent so cross-site comparison is actually possible.

Scope

  • Cross-site methodology audit
  • Standardized operating definitions
  • Benchmark framework
  • Site-by-site adoption plan
  • Multi-facility LinkedTIERRA Live deployment

Outputs

  • Methodology playbook
  • Per-site implementation timeline
  • Cross-site comparison dashboard

Built with

LinkedTIERRA LiveNotionConfluence

The engagement · 6-week diagnostic

Exactly what you're buying. Week by week.

Most consulting engagements are scoped in pages. We scope ours in weeks — with named deliverables at each stage and on-site presence specified up front.

Week 1· Define phase
On-site

Scope & baseline

Activities

  • Kickoff with leadership + floor leads
  • Define measurable problem statement
  • Walk the floor (40+ hr observation)
  • Pull historical data (12 months minimum)

Deliverable

Project charter + baseline measurement plan

Week 2-3· Measure phase
On-site

Instrument the operation

Activities

  • Deploy time-study instrumentation
  • Capture cycle times, queue lengths, utilization
  • Validate measurement system (MSA)
  • Establish capability baseline (Cp / Cpk)

Deliverable

Validated baseline dataset + capability report

Week 4· Analyze phase
Remote

Root-cause analysis

Activities

  • Statistical tests on baseline data
  • Constraint identification (TOC)
  • Failure mode analysis (FMEA)
  • Cross-reference against historical defects

Deliverable

Root cause report with statistical evidence

Week 5· Improve phase
On-site

Pilot intervention

Activities

  • Design pilot intervention (smallest viable)
  • Run pilot for 5 production days
  • Measure pilot vs control
  • Statistical comparison against baseline

Deliverable

Pilot results + go/no-go recommendation

Week 6· Control phase
On-site

Control plan + handoff

Activities

  • Build control plan with alert thresholds
  • Wire monitoring to LinkedTIERRA Live
  • Train floor leads on control charts
  • 30/60/90-day monitoring schedule

Deliverable

Control plan + LinkedTIERRA Live deployment

◉ After week 6

90-day monitoring window included.

Most Lean engagements end at week 6 with a deck. Ours include 90 days of post-engagement monitoring through LinkedTIERRA Live — so we see whether the change held, not just whether it shipped.

Request a 6-week scope

Client engagements · Selected work

Where the methodology has already shipped.

Selected client engagements showing the methodology in action. Names and figures used with explicit client consent.

Production◉ Founding engagement · Houston · 2017

A&M Mattress Co.

Plant layout, process optimization, and the moment everything clicked.

LinkedTIERRA's first consulting engagement. A&M Mattress Co. in Houston brought us in for a Lean Six Sigma engagement covering plant layout, manufacturing engineering, and process optimization.

The work delivered on its original scope — variance reduction, workflow redesign, and a control plan. But the real breakthrough was observing how much value sat in the seconds between a worker seeing a problem and the system finding out about it. That insight became LinkedTIERRA AI.

Scope of work

Lean Six SigmaPlant layoutManufacturing engineeringProcess optimizationDMAIC engagement

Industry

Manufacturing · Bedding products

Year

2017

Strategic outcome

Spawned the LinkedTIERRA AI branch

◉ Additional cases · 2018-2025

More case studies coming soon.

Subsequent engagements span manufacturing, warehousing, and multi-site operations across the Sun Belt. Most clients prefer NDA-only references — available on request.

Request full reference package

Additional client testimonials and case studies available under NDA on request. Email Stephan for the full reference package.

Initiate engagement

Let's diagnose your thermal environment.

Most engagements begin with a 20-minute call. We'll diagnose your environment, scope the right approach, and outline the engineering path.

Response SLA < 24hHouston-basedAvailable globally