Operational decision support

Better planning decisions in complex manufacturing operations.

A data scientist who builds the analysis and the tool — not just the recommendation.

01
Problem framing

Planning becomes harder when assumptions shift or constraints are unclear.

·01

Shifting assumptions

Demand, forecasts, or priorities shift faster than planning processes can adapt — leaving decisions anchored to assumptions that no longer hold.

·02

Capacity uncertainty

Equipment behaviour, qualification states, and operational constraints make capacity and feasibility harder to evaluate cleanly.

·03

Difficult tradeoffs

Competing priorities — service, cost, mix, inventory — turn into hard calls when tradeoffs and downstream impacts aren't visible.

·04

Fragmented planning visibility

Decisions sit across disconnected spreadsheets, reports, and assumptions that no single view reconciles.

Service pillars 02

Three areas where focused analysis tends to change the decision.

·01

Capacity analysis & investment decisions

Evaluate bottlenecks, capacity needs, and the operational tradeoffs behind capex and ramp decisions — sized to the question, not to a framework.

Bottleneck mapping Capacity model Investment memo
·02

Scenario & demand planning

Explore operational outcomes under changing market demand or assumptions — making the shape of risk explicit so decisions hold up when conditions move.

Scenario sets Sensitivity views Demand stress tests
·03

Decision visibility & data insights

Turn operational and analysis data into clearer planning insight — small, focused tools and reports that surface the few numbers that actually drive the call.

Decision dashboards Planning reports Reusable models
03
How I work

A practical sequence — not a methodology.

Step 01

Understand

Clarify the operational question, the planning context around it, and the practical constraints that limit what a useful answer looks like.

Step 02

Structure

Evaluate tradeoffs, assumptions, and opportunities using practical analysis — sized to fit the decision and the team that will use it.

Step 03

Support decisions

Deliver practical outputs — reports, tools, or structured analysis — that support clearer operational decisions and travel back into the team's workflow.

Philosophy & contact 04

Three principles, in plain terms.

Collaborative by design

Operational decisions depend on context. I work closely with teams to understand practical constraints and planning realities — analysis without that context tends to miss.

Practical over complexity

Solutions should fit the problem. I'd rather deliver a smaller, sharper analysis a team will actually use than a more elaborate one that sits unused.

Designed for adoption

We don't hand you a solution and ask you to adapt. We start with how your team works and build from there — new approaches only earn a spot when they make things genuinely better.

Tell me about your planning challenge.

A short note works best — the operational question you're working on, the timeframe, and any constraints I should know about. I reply within a few working days.

Email
n.a.h.andy.nguyen@gmail.com
LinkedIn
/in/andy
Based
Japan · roots in NL & DE