Demand & Supply Planner

Thermo Fisher Scientific Shanghai, China

Company

Thermo Fisher Scientific

Location

Shanghai, China

Type

Full Time

Job Description

Work Schedule
Standard (Mon-Fri)

Environmental Conditions
Office

Job Description

Key Responsibilities:

  • Regular review and update safety stock or ROP for market fluctuation, ensure the correct data in ERP system to trigger MRP.
  • Evaluate key plants' supply capacity, understanding main constraints & identifying risks and opportunity, initiating actions to mitigate the gap, and ensure timely support to demand.
  • Monitor and evaluate supply performance, work to improve supplier capability and flexibility.
  • Contribute to set initial forecast & replenishment flow and inventory setup for new products during product lifecycle change.
  • Work out inventory planning to support revenue achievement, including design and regular review replenish strategy, stocking policy & relevant parameters such as safety stock, lot size, MOQ etc. according to different business mode; monitor inventory and slow moving, take actions to improve inventory structure and reduce on E&O.
  • Responsible for monitoring and continuously improving on forecast accuracy performance.
  • Lead and optimize SIOP process, actively involved in forecasting process, and responsible for alignment with commercial, finance & global BU teams.
  • Support to fulfill customer requests and revenue targets in daily work.
  • Support other related tasks and projects depends on business needs.

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Qualifications:

Knowledge or Experience:

  • At least 3 years of supply and demand relevant experience in MNC.
  • Office software
  • ERP & MRP system knowledge & Operation
  • Trade compliance and logistic knowledge
  • Practical process improvement or continues improvement relevant experience.
  • Fundamental financial awareness

Capability:

  • Oral & Written English
  • Have a basic understanding of the fundamental concepts and principles of SIOP
  • Excellent Communication skill
  • Strong logical thinking, good at data analysis

Apply Now

Date Posted

01/12/2025

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