Digital Manufacturing Engineer - Industry 4.0 and Simulation Specialist

Anylogic_Analyst_IPD

Company Description

About Sopra Steria
Sopra Steria, a major Tech player in Europe with 50,000 employees in nearly 30 countries, is recognised for its consulting, digital services and solutions. It helps its clients drive their digital transformation and obtain tangible and sustainable benefits. The Group provides end-to-end solutions to make large companies and organisations more competitive by combining in-depth knowledge of a wide range of business sectors and innovative technologies with a collaborative approach. Sopra Steria places people at the heart of everything it does and is committed to putting digital to work for its clients in order to build a positive future for all. In 2024, the Group generated revenues of €5.8 billion.
The world is how we shape it.

Job Description

Digital Manufacturing & Industry 4.0 : Experience as a Digital Manufacturing Engineer to work on Industry 4.0 technologies and reach the ambition towards digital twin. The Scope of activities involves:- Develop and implement discrete-event and agent-based simulation models for assembly line operations.- Create simulation models for manufacturing plants, logistics networks, and supply chains.- Perform cost-benefit analysis and recommend process improvements.- Conduct cycle time experiments to achieve target throughput per hour.- Create process flow logic and automation programming based on product mix.- Provide statistical and tabular reports on station, operator, and AGV utilization.- Inventory & Logistics Simulation.- Design and program process logic for inbound logistics and storage management.- Determine buffer sizes at stations to ensure continuous line operation.- Analyze and optimize Material Handling Equipment (MHE) requirements.- Implement Pull system strategies for inventory reorder and replenishment.- Conduct capacity studies for inbound logistics storage and line-side inventory to maintain takt time.- Program forklift speed, load/unload times, and aisle traffic constraints.- Identify bottlenecks and propose solutions for improved flow.Technical Skills:- Strong proficiency in Any Logic software and simulation methodologies.- Knowledge of Java programming for customizing models.- Experience with data analysis tools (Python, R, SQL, or Excel).Strong knowledge of Discrete Event Simulation (DES), Agent-Based Modeling (ABM), and System Dynamics (SD).- Experience with data analysis tools (Excel, SQL, Python, R).- Background in industrial engineering, operations research, supply chain, logistics, or healthcare systems.- Understanding of optimization techniques and statistical analysis.

Total Experience Expected: 04-06 years

Qualifications

B. E In Mechanical / Aeronautical Engineering

Additional Information

Based on Project Requirement

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