OE -Plant Simulation Engineer - Factory Planning

SHL (Scandinavian Health Ltd) is currently the world's largest privately-owned designer, developer and manufacturer of advanced drug delivery systems. The organization was established in 1989 by Swedish entrepreneurs Roger Samuelsson and Martin Jelf with the goal of combining world-class manufacturing in Asia with the strengths of Western Management practices. SHL manufactures devices including pen injectors, auto injectors and inhaler systems. We also manufacture a range of other products including pressure mattress systems, patient lifting slings, medical soft goods, beds, neurosurgical devices, catheters and industrial equipment.

【Job Overview】

This role is embedded in the Factory Development & Projects group within our Global Operations Engineering team in Taiwan. You will take a leading role in developing SHL’s simulation capabilities to support our global expansion and factory optimization strategies with advanced plant simulation models and process simulations. This role requires a strong understanding of logistics, BOM structures, and manufacturing operations. The ideal candidate will be highly analytical, detail-oriented, and proficient in collecting, organizing, and visualizing operational data to enhance plant simulation modeling and decision-making.

【Responsibilities】

• Collect and analyze data, process flows, and operational details from manufacturing sites to develop accurate plant simulation models.
• Implement advanced, model-based factory planning and optimization processes using a standardized, modular, and reusable approach to simulation modeling.
• Develop discrete event simulation models for various aspects of manufacturing operations, including Injection Molding, Assembly, Packaging, Logistics, Material Flow, and Production Planning.
• Maintain and manage databases related to factory operations, ensuring accuracy and consistency in data handling.
• Organize factory operations into structured presentations, process maps, and UML diagrams for clear communication with stakeholders.
• Utilize SAP systems, particularly APS, MES, and EWM, to extract and analyze manufacturing and logistics data for process improvements.
• Verify and optimize factory layouts, designs, and capacities using simulation tools and data-driven calculations to support critical business decisions.
• Document and present simulation results with a clear focus on assumptions, constraints, objectives, and outcomes based on empirical and statistical data.
• Develop high-level visualizations of factory operations and detailed subsystem analyses to enhance decision-making.
• Improve existing frameworks for knowledge management, model validation, and simulation capabilities for factory planning and optimization.
• Enhance relevant procedures/processes and ensure knowledge transfer and training within Operations.

【Qualification】

• M.Sc. in Engineering, Applied Sciences, or a relevant field (System Engineering, Production Management, Logistics, with a focus on statistics and optimization). A PhD is a plus. Strong candidates who are keen to learn may be considered for their first job after graduation.
• Relevant experience in logistics, BOM structures, and manufacturing operations, with expertise in material flow simulation, throughput analysis, bottleneck identification, resource optimization, and inventory management.
• Hands-on experience with Discrete Event Simulation Software for modeling and simulation – preferably Tecnomatix / Siemens Plant Simulation.
• Strong understanding of SAP systems, like EWM(Extended Warehouse Management), also APS (Advanced Planning and Scheduling), MES (Manufacturing Execution System)
• Experience in factory planning, process development, and manufacturing optimization.
• Strong analytical and organizational skills with a structured working style and high attention to detail in complex systems.
• Proficiency in data analysis and visualization tools, including Excel (PivotTables and VBA), SQL, and Python, for data collection, processing, and reporting.
• Knowledge of 2D/3D CAD tools is a plus.
• Self-starter with a fast-learning ability, capable of working in a dynamic, complex environment with ambiguous requirements.
• Strong intercultural and interdisciplinary communication skills, with excellent written and verbal English.