Supply Network Designer (m/f/d)

Advantest

Böblingen

Vor Ort

EUR 90.000 - 120.000

Vollzeit

14 Tage+
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Zusammenfassung

Advantest Europe GmbH in Böblingen is seeking a Supply Network Designer to design and optimize the company’s global supply chain network using data-driven analysis and scenario modeling. You will develop and maintain network models, assess cost, service, and risk implications, and align assumptions with operations and procurement stakeholders.

The role involves building a digital twin of the SC and evaluating external production and logistics options.

Qualifikationen

  • Analytical mindset with data-driven approach.
  • Strong scenario modeling and risk assessment capabilities.
  • Clear communication and stakeholder alignment across functions.

Aufgaben

  • Build and maintain supply chain network models (digital twin) and run design scenarios (volume, footprint).
  • Translate business requirements into model parameters; align assumptions with operations and supplier management.
  • Provide executive-ready analyses and recommendations to support leadership decisions.
  • Calibrate models with new data and integrate with SC systems (e.g., Kinaxis, ERP).

Jobbeschreibung

Aufgabe

The Supply Network Designer is responsible for supporting the design and optimization of the company's supply chain network through data-driven analysis and scenario modeling. The role focuses on developing and maintaining network models to evaluate configuration options, particularly in the context of planned volume ramp-ups, and to assess implications on cost, service levels, and risk. In close collaboration with Commodity Management, Strategic Supplier Management, Operations, and relevant stakeholders, the role ensures alignment of key assumptions, including demand, capacity, inventory positioning, and external sourcing strategies. Based on this aligned data foundation, the role provides structured analyses and recommendations to support senior leadership decision-making. Furthermore, the role contributes to the evaluation of external production and logistics setups, capacity ramp scenarios, and the positioning of strategic buffers along the supply network. It also defines data requirements and supports the integration of network models into relevant supply chain systems and tools. Build and maintain SC network models (digital twin) in optimization tools Develop and simulate network design scenarios (e.g., volume scaling, footprint changes) Translate business strategy and constraints into model parameters and assumptions Align key assumptions (demand, cost, capacity, service levels) with Category, Supplier Mgmt., and Operations Quantify cost, service, and risk trade-offs across scenarios Model capacity ramp-up options (space, equipment, workforce) Recommend decoupling points and inventory positioning strategies Assess network risks and simulate mitigation scenarios (e.g., dual sourcing, buffers) Derive KPI impacts and provide transparency for decision-making Prepare executive-ready materials and decision proposals Facilitate cross-functional alignment to ensure a consistent fact base Define data requirements and structure for integration with SC systems (e.g., Kinaxis, ERP) Continuously recalibrate models based on new data, assumptions, and business changes

Advantest Europe GmbH

Böblingen

Supply Network Designer (m/f/d)
Aufgabe

The Supply Network Designer is responsible for supporting the design and optimization of the company's supply chain network through data-driven analysis and scenario modeling. The role focuses on developing and maintaining network models to evaluate configuration options, particularly in the context of planned volume ramp-ups, and to assess implications on cost, service levels, and risk. In close collaboration with Commodity Management, Strategic Supplier Management, Operations, and relevant stakeholders, the role ensures alignment of key assumptions, including demand, capacity, inventory positioning, and external sourcing strategies. Based on this aligned data foundation, the role provides structured analyses and recommendations to support senior leadership decision-making. Furthermore, the role contributes to the evaluation of external production and logistics setups, capacity ramp scenarios, and the positioning of strategic buffers along the supply network. It also defines data requirements and supports the integration of network models into relevant supply chain systems and tools. Build and maintain SC network models (digital twin) in optimization tools Develop and simulate network design scenarios (e.g., volume scaling, footprint changes) Translate business strategy and constraints into model parameters and assumptions Align key assumptions (demand, cost, capacity, service levels) with Category, Supplier Mgmt., and Operations Quantify cost, service, and risk trade-offs across scenarios Model capacity ramp-up options (space, equipment, workforce) Recommend decoupling points and inventory positioning strategies Assess network risks and simulate mitigation scenarios (e.g., dual sourcing, buffers) Derive KPI impacts and provide transparency for decision-making Prepare executive-ready materials and decision proposals Facilitate cross-functional alignment to ensure a consistent fact base Define data requirements and structure for integration with SC systems (e.g., Kinaxis, ERP) Continuously recalibrate models based on new data, assumptions, and business changes

Qualifikation

Degree in Supply Chain Management, Business Administration, Engineering, or related field ~7+ years of experience in supply chain network design, ideally with external manufacturing exposure Strong analytical and scenario modeling capabilities, including risk and trade-off assessment Experience with supply chain network design / scenario modeling tools (e.g., Optilogic Cosmic Frog, 4flow VIA, or similar) Ability to translate business requirements into model assumptions and data structures Experience in scenario-based analysis and supporting senior-level decision-making Strategic thinking with a structured, data-driven approach to complex network challenges Collaborative mindset with strong stakeholder alignment skills across functions and partners

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