
Thesis: Simulation-Based Analysis of Material and Manufacturing Costs
SICK AG, New Bremen, OH, United States
Job Description
Thesis: Simulation-Based Analysis of Material and Manufacturing Costs
Topic:
Simulating the interaction between material and manufacturing costs to identify the total cost optimum
At SICK, manufacturing costs mainly consist of material and production costs, which directly influence one another. While material costs are largely determined by product design in addition to purchasing prices, manufacturing costs depend heavily on the production system used.
The objective of this project is to develop a simulation model that demonstrates how decisions in product design and production systems can lead to minimum total costs at different production volumes.
Responsibilities
Analyze the cost structure of selected products, including material, assembly, machine, and setup costs
Design an integrated cost model to represent both material and manufacturing costs
Develop a cost simulation to evaluate different design and technology variants
Calculate unit costs and cost trends across different production scenarios
Visualize break-even points and economic relationships
Apply the model to one or two real product examples and compare different scenarios
Identify total cost optima for different production conditions
Document the model, assumptions, results, and potential future enhancements in writing
Qualifications
Degree program in Industrial Engineering, Production Engineering, Industrial Engineering, Data Science with an industrial focus, Business Administration with a technical specialization, or a comparable field
Knowledge of cost accounting and production processes
Experience with programming languages such as Python and/or simulation tools
Analytical and structured working style
Interest in cost optimization in manufacturing
Requisition ID: 37781
Job Location: Waldkirch (near Freiburg)
Full-time
Contact: Sarah Disch
At SICK, we see people, not gender.
We put great emphasis on diversity, reject discrimination and do not think in categories such as gender, ethnicity, religion, disability, age or sexual identity.
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Thesis: Simulation-Based Analysis of Material and Manufacturing Costs
Topic:
Simulating the interaction between material and manufacturing costs to identify the total cost optimum
At SICK, manufacturing costs mainly consist of material and production costs, which directly influence one another. While material costs are largely determined by product design in addition to purchasing prices, manufacturing costs depend heavily on the production system used.
The objective of this project is to develop a simulation model that demonstrates how decisions in product design and production systems can lead to minimum total costs at different production volumes.
Responsibilities
Analyze the cost structure of selected products, including material, assembly, machine, and setup costs
Design an integrated cost model to represent both material and manufacturing costs
Develop a cost simulation to evaluate different design and technology variants
Calculate unit costs and cost trends across different production scenarios
Visualize break-even points and economic relationships
Apply the model to one or two real product examples and compare different scenarios
Identify total cost optima for different production conditions
Document the model, assumptions, results, and potential future enhancements in writing
Qualifications
Degree program in Industrial Engineering, Production Engineering, Industrial Engineering, Data Science with an industrial focus, Business Administration with a technical specialization, or a comparable field
Knowledge of cost accounting and production processes
Experience with programming languages such as Python and/or simulation tools
Analytical and structured working style
Interest in cost optimization in manufacturing
Requisition ID: 37781
Job Location: Waldkirch (near Freiburg)
Full-time
Contact: Sarah Disch
At SICK, we see people, not gender.
We put great emphasis on diversity, reject discrimination and do not think in categories such as gender, ethnicity, religion, disability, age or sexual identity.
#J-18808-Ljbffr