Simulation Anylogic Jobs (NOW HIRING)

JOB DESCRIPTION: 

We are seeking an experienced Simulation Engineer with manufacturing experience, specializing in process optimization, material management, and line optimization. The ideal candidate will play a key role in developing and implementing digital twin models to optimize manufacturing processes, increase efficiency, and reduce costs. This position requires a deep understanding of manufacturing systems, data integration, and the application of simulation technologies. 

KEY RESPONSIBILITIES: 

• Develop and deploy digital twin models to replicate physical manufacturing processes, enabling real-time monitoring, simulations, and predictive analytics. 
• Collaborate with cross-functional teams, including operations, process engineering, and IT, to design data-driven solutions that enhance process efficiency and product quality. 
• Identify opportunities for process optimization, material flow improvements, and line balancing by leveraging digital twin simulations. 
• Use predictive analytics to simulate different production scenarios and anticipate potential bottlenecks or inefficiencies. 
• Integrate data from various systems, such as MES, ERP, and IoT devices, into digital twin models to provide accurate, real-time insights. 
• Analyze digital twin outputs to recommend process changes, reduce downtime, optimize material management, and improve overall productivity. 
• Ensure the scalability and adaptability of digital twin models across multiple production lines and facilities. 
• Collaborate with the IT department to ensure secure, efficient data flow between physical systems and their digital counterparts. 
• Support continuous improvement initiatives by identifying areas for cost reduction, yield improvement, and process reliability. 
• Stay up-to-date with industry trends and advancements in digital twin technology, automation, and smart manufacturing. 

QUALIFICATIONS: 

• Bachelor's degree in mechanical engineering, Industrial Engineering, or a related field. Advanced degree (master's) is a plus. 
• 8+ years of experience in manufacturing, with a focus on process optimization, material management, and line optimization. 
• Hands-on experience with digital twin technologies, simulation software (e.g., AnyLogic, Simio, or Siemens Tecnomatix), and data analytics tools. 
• Proficiency in using IoT, AI, and machine learning to support digital transformation in manufacturing. 
• Solid knowledge of lean manufacturing, Six Sigma, and other process improvement methodologies. 
• Experience in integrating digital twin models with ERP/MES systems. 
• Strong analytical and problem-solving skills with the ability to interpret complex data sets and recommend actionable solutions. 
• Excellent communication and interpersonal skills, with the ability to work effectively across teams. 

• Bachelor's degree in Engineering, Computer Science, or a related field.
• Minimum 5 years of experience in manufacturing engineering or a related field.
• Proven experience in digital twin model development and application.
• Strong knowledge of manufacturing processes and material flow analysis.
• Experience with MES/ERP systems and data integration.
• Proficiency in simulation software and tools.
• Excellent problem-solving and analytical skills.
• Ability to work independently and manage multiple projects.
• Effective communication and collaboration skills.
• Willingness to stay updated with industry trends and best practices.

• Lead the development and maintenance of digital twin models representing manufacturing processes.
• Conduct simulation studies for production scenarios, material flow, and line balancing.
• Collaborate with cross-functional teams to design data-driven solutions enhancing process efficiency and product quality.
• Analyze data to identify inefficiencies and improvement opportunities.
• Support MES/ERP data integration into digital models.
• Participate in continuous improvement initiatives.
• Document models, assumptions, and results for future reference and knowledge sharing.
• Stay updated with the latest digital twin and manufacturing technology trends.
• Provide technical expertise and guidance to junior team members.
• Ensure compliance with industry standards and best practices.