Simulation Engineer

Ghafari Associates•Dearborn, MI

About The Position

This role is responsible for leading development of discrete-event simulation models and driving innovation in simulation modeling with a focus on model speed and build efficiency. Such models will be developed to identify tactical and strategic improvements in manufacturing and business operations. These models are used to provide insights into current operational capability and future operational potential in order to develop data-driven, profitable business plans.

Requirements

Bachelor’s Degree in Industrial, Manufacturing, Mechanical Engineering, or Supply Chain from an accredited university
3-5 years of manufacturing or supply chain on-the-job experience
Experience with one or more simulation software tools such as FlexSim, Simio, AnyLogic, etc.
Experience with one or more data visualization tools such as Qlik Sense, Tableau, Power BI, etc.
Experience with one or more coding languages such as C++, VBA, Python, etc.
Proficiency with Microsoft Office suite of software, with particular strength in Excel and PowerPoint.
Excellent written and verbal communication skills.

Nice To Haves

Minor studies in Computer Science is a plus
Experience with FlexSim is preferred.
Proficiency in AutoCAD is a plus.
Experience with Revit is a plus.
Passion for advancing Industry 4.0 and, simulation technology in particular, within manufacturing

Responsibilities

Consistently drive efficiency within the team through support and fine-tuning of complex data analysis and/or model building
Utilize manufacturing and/or business operations experience to quickly frame the operational challenge and visualize a solution design
Apply lean principles and methods to develop standardized model and data frameworks in order to identify best practices in model development
Train new or existing employees in data management and model development best practices
Ability to harvest large sets of data from numerous sources and identify patterns in joining or linking data
Efficiently evaluate data accuracy and completeness to establish processes and requirements necessary to maintain data integrity through change
Collaborate with cross-functional, external client teams to gather comprehensive data required for model development and/or analysis
Collaborate with internal business development and project managers to transform and visualize the data in creating and driving operational road maps
Effectively communicate model functionality to the client or internal team for assurance of model results accuracy
Develop model KPIs unique to the context of the client challenge, providing insight into unfulfilled operational potential