PhD - Digital Twin-Driven Warehouse Optimization: Advancing Efficiency and Ergonomics in Modern Warehouse Operations

13 Apr 2024
Job Information

Organisation/Company

IMT Lille Douai

Research Field

Computer science » Digital systems

Researcher Profile

Recognised Researcher (R2)
Leading Researcher (R4)
First Stage Researcher (R1)
Established Researcher (R3)

Country

France

Application Deadline

6 May 2024 - 22:00 (UTC)

Type of Contract

Temporary

Job Status

Full-time

Is the job funded through the EU Research Framework Programme?

Not funded by an EU programme

Is the Job related to staff position within a Research Infrastructure?

No

Offer Description

This thesis proposes integrating multimethod simulation models to develop a digital twin aiming to optimize warehouse operations with a strong emphasis on ergonomic considerations. It employs, Optimization and Simulation to advance warehouse management, filling notable gaps in the current literature.

 

The research, positioned at the forefront of the state of the art, aims to design warehouses that balance efficiency with ergonomic optimization. Methodologically, it involves applying optimization and Discrete Event Simulation (DES) for modeling order-picking processes and Multi-Agent Systems (MAS) for simulating interactions among Automated Guided Vehicles, cobots, and human workers. This approach leads to the development of a decision-making tool for warehouse operations.

 

This collaboration between IMT Nord Europe and the University of Padua combines expertise in manufacturing and logistics, optimization, and simulation. The anticipated outcomes include enhanced methodologies for ergonomic integration in warehouse operations, and balancing human-centric design with operational efficiency. These contributions are expected to develop future warehouse management research and practices, in line with the EU Commission's Industry 5.0 guidelines, promoting sustainable, resilient, and human-centered models.

Funding category: Autre financement public
Région
PHD Country: France

Requirements
Specific Requirements

Candidate profile:

Master’s Degree in Industrial Engineering, Computer Science, Operations Research, or a related field, with a strong academic record.
Proficiency in programming languages suitable for simulation and optimization (e.g., Python, Java, C++).
Experience with simulation software (e.g., Anylogic, Witness, Arena) and tools related to digital twins and logistics optimization is highly desirable.

Additional Information
Work Location(s)

Number of offers available

1

Company/Institute

IMT Lille Douai

Country

France

City

DOUAI

Geofield

Where to apply

Website

https://www.abg.asso.fr/fr/candidatOffres/show/id_offre/122799

STATUS: EXPIRED