Simulation Engineer

QuEST Global Engineering Limited

Redditch, United Kingdom

19 days ago

Role details

Contract type

Permanent contract

Employment type

Part-time (≤ 32 hours)

Working hours

Regular working hours

Languages

English

Experience level

Intermediate

Redditch, United Kingdom

Computer-Aided Design

AutoCAD

Data analysis

Automated Storage and Retrieval Systems

C++

Fluid

Computer Programming

Comsol Multiphysics

Discrete Event Simulation

Dynamical Systems

Python

Matlab

Operational Data Store

Scientific Computating

Simulation Software

Software Systems

Tableau

Scripting (Bash/Python/Go/Ruby)

Warehouse Management Systems

Build Management

Information Technology

Sap Extended Warehouse Management

Ansys

Programming Languages

The Simulation Engineer will develop, validate, and analyze discrete-event simulation models of warehouse facilities, incorporating automation, conveyors, and WMS software. The goal is to identify bottlenecks, improve efficiency, and validate operational scenarios before implementation.
Modeling & Simulation: Design and build 3D simulation models of distribution centers and warehouse logistics using software like FlexSim, Simio, or AnyLogic.
Data Analysis & Validation: Analyze operational data (e.g., order profiles, inventory levels, stock audit ) to validate simulation models, ensuring they accurately represent real-world operations.
Process Optimization: Conduct experiments to identify bottlenecks, test "what-if" scenarios, and optimize resource requirements (staffing, automated equipment).
WMS Integration: Simulate interactions between physical equipment (AGVs, ASRS, conveyors) and warehouse software systems (e.g., SAP EWM, Manhattan Associates).
Documentation & Reporting: Create detailed technical reports and visualizations (Tableau, R) to present findings to stakeholders and support data-driven decision-making.
Cross-Functional Collaboration: Collaborate with engineering and operations teams to integrate simulation results into final warehouse designs.

Bachelor's or Master's degree in Computer Science ./Industrial Engineering
Experience: Minimum 3-7 years of relevant experience in supply chain simulation, industrial engineering, or discrete event simulation.
Simulation Software/ Tools : Proficiency in specialized software such as FlexSim, AnyLogic, .ANSYS (FEA/CFD), MATLAB/Simulink (dynamic systems), COMSOL, or AnyLogic.
Programming: Strong scripting skills (Python, R) for data analysis and automating simulation tasks.
Programming Languages: Proficiency in Python (scientific computing), C++ (high-performance tasks), and MATLAB/R for data analysis and mathematical modeling.
Domain Knowledge: Solid understanding of warehousing automation technologies (AGVs, sorters, AS/RS).
WMS Knowledge: Familiarity with WMS systems.
Simulation Tools: Experience with industry-specific software such as ANSYS (FEA/CFD), MATLAB/Simulink (dynamic systems), COMSOL, or AnyLogic.
Experience with CAD tools (e.g., AutoCAD) for layout creation.