Philips Healthcare - Manufacturing Engineer

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  • Aanbod Max. € 60,000
  • Functiegroep Engineering, Energie
  • Dienstverband Fulltime
  • Vacaturenummer 8492600
  • Locatie Best
  • Contract Detachering via YER, In dienst van opdrachtgever
  • Branche High Tech

Over deze vacature

Do you want to play a key role in the introduction of new products? As the Manufacturing Engineer, you are the representative of Operations in multidisciplinary teams ensuring best in class transition from development to manufacturing. You will improve production processes with lean mythologies. You will improve product quality via DfX.

Functie

As the Manufacturing Engineer, your responsibilities include:

  • Defines, implements new/changed processes and leads the first production models for projects within own Building Block
  • Defines, executes, controls and documents all process validation activities and related activities
  • Introduces new production-methods (technical & logistic), within own Building block
  • Working close together with other functions within Manufacturing, R&D and Quality to setup first time right processes
  • Participates in supply chain teams, design teams, purchasing teams and secures the agreed manufacturing requirements
  • Creates and maintains manufacturing documents (e.g. work instructions), provides training
  • Defines and implements improvements (e.g. via A3, Prince2, Green Belt,…) within the building block to increase yield, output and cost
  • Analyzes field performance data (e.g. DEFOA), installation test-results, and customer related complaints, in order to initiate improvements
  • Prepares and introduces changes (products, components, production-processes) for released products

Bedrijf

With a growing presence in cardiology, oncology, and women's health, Philips operates in the areas of Imaging Systems, Patient Care & Clinical Informatics, Home Healthcare and Customer Services. Philips combines its clinical expertise and human insights to create innovative solutions across the continuum of care, in partnership with clinicians and our customers, to provide better value and expand access to care for millions. Our teams are working hard every day to improve patient outcomes all the way from disease prevention and screening to diagnosis, treatment, therapy monitoring, and disease management. Irrespective of whether the care cycle takes the patient from doctor's office to hospital or hospital to home, or simply from one medical department to another, Philips Healthcare's unique medical solutions are designed to optimize the quality and flow of patient information and clinical decision making.

You will be part of the Global Operations IGT-Systems organization of Philips Healthtech located in Best, Eindhoven. The IGT Operations organization is responsible for the manufacturing, delivery and installation of medical devices used for image guided therapy applications worldwide.

Aanbod

You will be employed by YER and seconded to Philips. We offer:

  • Good employee benefits (e.g. work-life balance, pension)
  • Challenging assignments
  • Excellent guidance from your consultant and YER's back office
  • Development opportunities, including the YER Talent Development Program with a personal coach
  • Cooperative and results and relationship-driven
  • Friendly atmosphere and open culture
  • Community/network with other technology professionals from a variety of multinationals
  • Events and master classes with interesting speakers and attractive companies

Profiel

  • With minimum a Bachelor degree in e.g. Mechatronics, Mechanics, Industrial Engineering
  • With strong personal & communication (English &Dutch) skills
  • Who has experience in leading multi-disciplinary (global) projects
  • With a continuous improvement mindset
  • With a result driven and quality driven approach
  • Who has experience in design transfer and manufacturing transfer projects
  • Who has experience with process validation (pMap, pFMEA, IQ, OQ, PQ) ( Pré)
  • Who has experience with FMEA, 8D, SPC, A3, Lean Manufacturing
  • Who has preferably a Green Belt (expertise within DfX, DMAIC, Lean) and has knowledge on statistical tools
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