Manufacturing

28 machines. 340 jobs. The optimal sequence in minutes.

Setup times, shift patterns, due dates, dependencies. kint finds the schedule that minimizes idle time and maximizes throughput across all constraints.

20-30%

of manufacturing capacity lost to suboptimal scheduling

McKinsey, 2022

$150B

annual cost of unplanned downtime globally

Aberdeen Research

5-15%

throughput gains from scheduling optimization

APICS/ASCM

When Every Sequence Decision Cascades

You're staring at the production board. 340 jobs need to run across 28 machines this week. Machine 7 needs a 90-minute changeover between product families. Machine 12 is down for maintenance Tuesday afternoon. The VIP order that arrived 2 hours ago must ship by Friday. Moving one job shifts everything downstream. Four hours later, you have a schedule. Is it the best one? You'll never know.

Changeovers consume capacity

Setup times between different products can exceed production time. Sequencing matters more than speed, but optimal sequencing is combinatorially impossible to do manually.

Priority orders break the plan

Every rush order cascades through the schedule. Re-planning manually means hours of work and suboptimal results.

Idle time is invisible cost

Machines sitting idle between jobs represent lost throughput. The cost is real but often untracked because nobody knows what optimal utilization looks like.

Shift constraints add layers

Three-shift operations with different crew capabilities, maintenance windows, and overtime rules make scheduling a multi-dimensional puzzle.

Comparison

Status Quo vs. With kint

Schedule creation

4-6 hours manual planning

Under 5 minutes

Machine idle time

18-25% average

Reduced by 22%

Changeovers per week

28 (-38%)

Rush order re-planning

2-3 hours

Minutes

Throughput

Baseline

+15% with same equipment

Process

How It Works for Manufacturing

Define your machines and jobs

Machine capabilities, setup times, shift patterns, maintenance windows. From your MES, database, or any export format.

Set priorities and constraints

Due dates, dependencies, quality requirements, overtime limits. Your planners define what matters.

kint finds the optimal sequence

Minimizes makespan or idle time while respecting every constraint. Full Gantt chart output.

Adjust and commit

Move a job, add a constraint, change a due date. kint re-optimizes in seconds.

Use Cases

What kint solves in Manufacturing.

Production Scheduling

Input

“Schedule 340 jobs across 28 machines with setup time constraints”

Output

kint generates optimal job sequences minimizing makespan while respecting machine capabilities, maintenance windows, and priority orders.

The full Gantt chart shows every job on every machine across every shift. Bottlenecks are visible. Your planners see exactly where capacity is tight and where there's room.

-22%

idle time

+15%

throughput

< 5 min

solve time

Machine Allocation

Input

“Assign product batches to production lines minimizing changeover”

Output

kint finds the optimal assignment of products to lines, clustering similar setups and minimizing costly changeovers.

Products with similar setup requirements are grouped together. The solver considers the full matrix of changeover times between product families, not just pairwise comparisons.

-38%

changeovers

+12%

output

-8%

energy costs

Quality-Cost Tradeoff

Input

“Minimize production costs while maintaining quality constraints”

Output

kint optimizes material mix, process parameters, and inspection frequency to hit quality targets at minimum cost.

Multi-objective optimization balances cost reduction against quality requirements. Your quality team sets the minimum standards. kint finds the cheapest way to meet them.

-11%

unit cost

99.7%

quality rate

violations

∞

Your Problem

These are examples. kint is not limited to predefined use cases.

> Describe your problem. kint handles the math.

Try with your own problem

FAQ

Common Questions About Manufacturing Optimization

kint accepts data from any system that can export. Direct MES integration via API is available. Most manufacturers start with spreadsheet exports and automate later.

kint models arbitrary constraints. Setup time matrices, sequence-dependent changeovers, parallel machines, batch processing. If you can describe it, kint can model it.

When a machine breaks down or an order changes, kint re-optimizes the remaining schedule. The updated Gantt is ready immediately.

Export to your MES, print it, display it on screens. kint provides the data in whatever format your operations need.

For OEM Partners