Client success story

SIMULATION AND MODELLING

Optimising Production Flow with Discrete Event Simulation

CLIENT:

LARGE FOOD manufacturer

The challenge:

A large food manufacturer of ready meals was facing long lead times and inefficient resource utilisation.

Despite stable system structure, production scheduling was done intuitively, leading to bottlenecks and excessive waiting times.

The perceived cost by the business:

Long lead
times

Under utilised labour

Inventory congestion

The Solution:

LMAC deployed its Data Driven Optimisation framework integrated with Discrete Event Simulation to model the current production flow and test alternative control policies.

Harvesting
Big Data

Data driven
problem solving

Advanced
Analytics

Opening New 
Ways of Thinking

THE IMPACT:

33% reduction

in lead time

48% reduction

in average waiting time

Improved labour utilisation

across key stations

Capabilities Deployed

Data-driven simulation modelling

Process reconfiguration

Data-driven problem solving

Batch size optimisation

Priority-based scheduling

LMAC’s simulation-driven approach helped us visualise and validate changes before implementation. The results were immediate and measurable.

Operations Manager