Daniele Agrusta

Bis 2019, Corporate Supplier Quality Development Engineer, Terex Corporation

Zurigo, Schweiz

Fähigkeiten und Kenntnisse

Lean Manufacturing
Supply Chain Management
Industrial Engineering
Logistics
Operations
Quality
Lean Management
KANBAN
Kaizen
Supply Assurance
PPAP
Quality Audits
Six Sigma
FMEA

Werdegang

Berufserfahrung von Daniele Agrusta

  • Bis heute 4 Jahre und 10 Monate, seit Sep. 2019

    Staff Source Quality Engineer

    Johnson & Johnson
  • 1 Jahr und 8 Monate, Jan. 2018 - Aug. 2019

    Corporate Supplier Quality Development Engineer

    Terex Corporation
  • 3 Jahre und 3 Monate, Okt. 2014 - Dez. 2017

    Supply Quality Engineer

    Terex Corporation

    - Implementation of Supply Assurance program and reduction of risk within the supply chain; - Assist purchasing with supplier selection, development and risk mitigation; - Lead supplier quality audits; - Measure and analyse supplier performance; - Identify risk in supplier processes and assign action plans; - Continued supplier development; - Teach and coach internal teams and supply base; - Management of PQP/PPAP.

  • 7 Monate, Apr. 2013 - Okt. 2013

    Supply Chain Engineer

    Intel

    - Analyse concepts of vendor‐specific basic data database and its integration with the Intel data system - Develop and evaluate impact of Life Cycle Management concepts in the context of supplier‐specific basic data database - Prepare specifications for programming and support implementation of Life Cycle Management of product‐related basic data in collaboration with external programmers - Acceptance testing and documentation of the newly created user interface

  • 7 Monate, Aug. 2012 - Feb. 2013

    Diploma Candidate

    Intel

    - Analyse and model yield parameters and lead times in the Supply Chain with reference to a fully outsourced manufacturing - Determine impact of different models on the production costs and reliability - Develop results that confirm and explain to what extent a refinement of the basic data models through a quantitative methodology would be economically attractive - Results used in the methodology of delivery time modeling in SAP and in the definition of yield parameters

Ausbildung von Daniele Agrusta

  • Master of Science in Engineering Management

    University of Bologna

    Industrial Engineering; Business Administration; Supply Chain Management; Quality; Lean Manufacturing; Energy Management

  • Bachelor of Science in Engineering Management

    University of Bologna

    Industrial Engineering; Business Administration; Industrial Systems and Facility Layout Design; Industrial Logistics; Quality

Sprachen

  • Italienisch

    Muttersprache

  • Englisch

    Fließend

  • Deutsch

    Gut

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