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Quality

Better than Best-in-Class Quality

Best-in-class mechanical assembly is considered 200 defects per million opportunities (DPMO). However, Paramit’s zero-defect approach to manufacturing has resulted in better than best-in-class quality at a virtually defect-free <1 DPMO, on average, for over four years. In surface mounted technology assembly (SMT), we’ve achieved 9 DPMO for over five years, compared to best-in-class of 30 DPMO. Paramit takes ownership of every product we manufacture, and the entire process takes place under one roof where we can control the quality for every aspect of production. We employ multiple defect prevention processes that include:

  • A Design for Manufacturability (DFM) review and a Failure Modes and Effects Analysis (FMEA) are performed during New Product Introduction (NPI) on every product.
  • Tightly controlled, closed-loop work cells and stop-on-defect processes that are key to quickly identifying and resolving all issues that impact product quality.
  • Design and execution of state-of-the-art test solutions to verify the integrity of PCAs, and our team of electrical engineers with design-level experience create functional tests and train operators to perform them.
  • Resolution of issues when they occur by manufacturing engineers in real time — on the spot. Paramit’s engineers are never more than a few steps away from the operators on the line, which allows for better communication and workflow.
  • Validations (IQ, OQ, and PQ) performed as part of our qualifications plan for PCBAs and instruments which have proven the highest quality level can be achieved consistently in the production phase.

vPoke Mechanical Assembly

Paramit builds all system subassemblies and completed systems using our patented computer-directed assembly technology called vPoke. vPoke controls all inputs into basic elements of work, forces conformance to established criteria and sequences, and automatically documents everything for easy future reference during internal reviews and external inquiries. This virtually eliminates all variability associated with the complex, error-prone manual assembly sequences commonly used in medical device and life science instrumentation manufacturing.

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