Best practices to improve quality in medical devices...Best practices to improve quality in medical...

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Best practices to improve quality in medical devices Presentation to MDIC October 26, 2016 CONFIDENTIAL AND PROPRIETARY Any use of this material without specific permission of McKinsey & Company is strictly prohibited This material will be used by McKinsey & Company during an open forum presentation to MDIC; it is not a complete record of the discussion. McKinsey & Company makes no warranties regarding the use of this material for any purposes

Transcript of Best practices to improve quality in medical devices...Best practices to improve quality in medical...

  • Best practices to improve quality in medical devices

    Presentation to MDICOctober 26, 2016

    CONFIDENTIAL AND PROPRIETARYAny use of this material without specific permission of McKinsey & Company is strictly prohibited

    This material will be used by McKinsey & Company during an open forum presentation to MDIC; it is not a complete record of the discussion. McKinsey & Company makes no warranties regarding the use of this material for any purposes

  • 2McKinsey & Company

    Context and approach

    We initiated a study to refresh McKinsey’s 2011/2 analysis of the cost of quality and research on practices that lead to improvement of quality and reduction of quality cost

    The study uses 3 lenses to characterize cost of quality:

    • Direct cost of ensuring good quality – the organizational costs involved in preventing or detecting quality issues, including quality personnel and operations staff involved in quality work

    • Direct cost of poor quality – including labor costs to remediate failures and material and financial costs of internal and external quality failures

    • Indirect quality costs – including revenue loss and risk exposure from non-routine compliance issues, as well as market cap losses

    The study estimates capturable quality savings opportunities through applying a set of best practices to bring industry to median or top quartile performance levelsWe relied on a broad array of data sources in calculating quality costs and savings, including McKinsey’s POBOS quality benchmarking tool for devices, MDIC industry survey responses, annual financial reports and other publically-available data, and interviews with McKinsey and industry experts

    Focus of today’s presentation

    CONFIDENTIAL AND PROPRIETARYAny use of this material without specific permission of McKinsey & Company is strictly prohibited

  • 3McKinsey & Company

    Overview and impact

    Quality improvement

    practicesCase examples

  • 4McKinsey & Company

    1

    We identified 5 broad sources of maturity that correlate with good quality

    Product and process design

    Operational maturity - people

    Operational maturity - assets

    Quality system maturity

    Quality culture maturity

    2

    3

    4

    5

    SOURCE: POBOS Quality – 2016 update

    CONFIDENTIAL AND PROPRIETARYAny use of this material without specific permission of McKinsey & Company is strictly prohibited

  • 5McKinsey & Company

    Overview and impact

    Quality improvement

    practicesCase examples

  • 6McKinsey & Company

    Device manufacturers can leverage different practices across these sources of maturity to improve

    SOURCE: POBOS Quality – 2016 update

    NOT EXHAUSTIVE

    Product and process design practices:▪ Quality controls (CQAs defined and tied to CCPs)▪ Product simplicity (number of different materials in the BoM)Operational structural factors related to people, e.g., ▪ Sufficient production support staff▪ Better retention activities▪ Shared quality targetsOperational structural factors related to assets, e.g.▪ Spend on preventive maintenance and calibration▪ Investments in assets renewal Quality system maturity aspects:▪ Supplier usage of CQA and CCP▪ Fast but thorough investigationsCulture maturity aspects: ▪ Involving operations personnel in quality activities▪ Management presence and daily quality dialogue on shop floor

    1

    2

    3

    4

    5

    CONFIDENTIAL AND PROPRIETARYAny use of this material without specific permission of McKinsey & Company is strictly prohibited

  • 7McKinsey & Company

    Product and process design: Critical to Quality Attributes and their link to Critical Control Points is a key driver of quality for medical devices

    Disposables, N=24

    Companies that have a high share of products with defined CQAs – and CCPs tied to those CQAs – have a significantly lower share of low quality product in the market

    1

    SOURCE: POBOS Quality - 2016 update

    5063

    84

    Poor performers

    40%

    High performers

    Average performers

    % of CQA products that have CCPs tied to the defined CQAs

    4054

    71 44%

    Share of products that have CQA defined (percent)

    = 3346

    7053%

    High performers

    Poor performers

    Average performers

    % of products that have both CQA defined and CCPs tied to those CQAs

  • 8McKinsey & Company

    Operational maturity - people: Improving employee retention and adding quality targets to incentives structure leads to better quality

    Average employee turnover, %

    Sites with higher product quality have lower employee turnover

    High share of employees with quality targets correlates with better quality outcomes

    2

    10.2

    7.8

    3.5

    Average performers

    Poor performers

    +191%

    High performers

    Disposables and implants, N = 38

    908030 602010 40 70 10050

    4,000

    3,000

    2,000

    1,000

    0

    5,000

    0

    Share of low-quality products, per 1 mm units

    Employees with quality targets% of total FTEs

    R2=0.47

    Disposables, N= 24

    SOURCE: POBOS Quality – 2016 update

    CONFIDENTIAL AND PROPRIETARYAny use of this material without specific permission of McKinsey & Company is strictly prohibited

  • 9McKinsey & Company

    Operational maturity – assets: Healthy level of preventative maintenance results in fewer deviations

    Well performing sites spend over 1.9% of their COGS on preventative measures related to equipment

    3

    0.5 2.0 2.51.51.00 6.05.54.5

    40

    15

    7.5

    30

    7.0

    35

    6.55.0

    25

    10

    4.03.53.0

    5

    20

    0

    Number of deviations related to equipment, per 1 MM unitsDisposables, N=24

    Preventative maintenance and calibration spend% COGS spent

    The preventative maintenance spend must be balanced with appropriate levels of asset renewal (capital investment should be at 1.3-1.4x of annual depreciation)

    SOURCE: POBOS Quality – 2016 update

    CONFIDENTIAL AND PROPRIETARYAny use of this material without specific permission of McKinsey & Company is strictly prohibited

  • 10McKinsey & Company

    % of suppliers that have translated product CQAs into their processes and linked them to critical control points

    Quality systems: Supplier quality as well as investigations speed and robustness are drivers of good quality

    Disposables, N=24

    Assessing suppliers based on their capabilities in relation to product CQAs, sharing CQAs with suppliers, and translating CQAs into supplier CCPs helps improve product quality

    Too fast and too long investigations both drive high recurrence of non-conformances

    4

    10.019.0

    56.0

    82%

    Highperformers

    Poorperformers

    Average performers

    6040 8020 100

    80

    0

    20

    4050

    30

    120

    6070

    010

    % recurring non-conformances

    Average time to close a deviation investigationDays

    Implants, N=14

    SOURCE: POBOS Quality – 2016 update

    CONFIDENTIAL AND PROPRIETARYAny use of this material without specific permission of McKinsey & Company is strictly prohibited

  • 11McKinsey & Company

    Culture maturity: Higher involvement of non-quality employees in quality work helps improve quality outcomes

    5.15.9

    10.4

    High performers

    Average performers

    51%

    Low performers

    Non-quality FTE involved in quality, % of total headcount

    Quality work should be shared across multiple functions to deliver good quality outcomes

    5

    Disposables, N = 24

    SOURCE: POBOS Quality – 2016 update

    CONFIDENTIAL AND PROPRIETARYAny use of this material without specific permission of McKinsey & Company is strictly prohibited

  • 12McKinsey & Company

    Overview and impact

    Quality improvement

    practicesCase examples

  • 13McKinsey & Company

    Device manufacturer launching a holistic quality improvement initiative after a corporate WL

    Device manufacturer automating data collection to drive quality improvements

    Examples of how companies have applied some of these best practices to reduce the cost of quality (1/2)

    Field actions reduction from baseline

    70%

    10%CAPA cycle time improving annually

    >8.5%

    Cost improvement across the quality system annually

    Product and process design▪ Replace manual systems with an automated MES▪ Remove human intervention and control over labelling

    (key issue for field actions) through automation featuring MES and SAP

    Global standardization of QMS, complying with global regulations and standards

    Improving investigations and CAPA effectiveness product and process design▪ Implement a closed loop manufacturing execution

    system (MES)– Early issue detection / prevention – Speed and visibility in finding / correcting root

    causes– Continuous improvement current dashboards

    for key metrics – Consistent data across plants and supply chain

    Impact

    Best practices applied

    Production NCRs41%

    Overall complaints58%

    Workmanship complaints65%

    Document errors100%

    6-10%Operationimpact –productivity

    41

    1

    4

    SOURCE: McKinsey

    CONFIDENTIAL AND PROPRIETARYAny use of this material without specific permission of McKinsey & Company is strictly prohibited

  • 14McKinsey & Company

    Examples of how companies have applied some of these best practices to reduce the cost of quality (2/2)

    Device manufacturer using quality initiatives to drive manufacturing line improvements

    Improving investigations and CAPAeffectiveness, product andprocess design▪ Thorough complaint investigation

    and identification of critical quality attributes

    ▪ Appropriate design of process controls

    ▪ Improve the product by design and process changes

    ▪ Process automation to improve quality & repeatability

    Product and process design

    ▪ Increase production through lean manufacturing

    ▪ Increase quality yield through analytics to understand yield loss, issue trees to prioritize resources, experiments to prove/disprove root causes, and acceleration of yield drivers

    Device manufacturer facing shortages due to insufficient product yield

    Throughput increase in less than one month

    50% 18xProduct 2

    Red. In footprint

    50%

    Product 2

    75%

    12xProduct 1

    Incr. in capacity 210%

    Product 1

    38%

    Reduced ppm complaint rate

    Headcount reduction

    Capacity and footprint improvements

    Yield increase100%

    Impact

    Best practices applied

    Device manufacturer leveraging a predictive model for parts failure

    ▪ Enhance product and process design through predictive model for parts failure– Predict probable part failures

    and replacement needs ahead of planned maintenance and permit preventive maintenance

    – Proactive replacement and maintenance, minimizing warranty costs in long run

    – Focus on customer feedback by eliminating key dissatisfactions

    20%

    3%+

    Field failure (breakage) and negative customer feedback rates fell significantly

    41 1 3

    1

    Field service calls rate

    Financial returns of initiatives (% of sales)

    SOURCE: POBOS Quality – 2016 update

    CONFIDENTIAL AND PROPRIETARYAny use of this material without specific permission of McKinsey & Company is strictly prohibited

  • Best practices to improve quality in medical devicesContext and approachSlide Number 3Slide Number 4Slide Number 5Device manufacturers can leverage different practices across these sources of maturity to improveProduct and process design: Critical to Quality Attributes and their link to Critical Control Points is a key driver of quality for medical devicesOperational maturity - people: Improving employee retention and adding quality targets to incentives structure leads to better qualityOperational maturity – assets: Healthy level of preventative maintenance results in fewer deviationsQuality systems: Supplier quality as well as investigations speed and robustness are drivers of good qualityCulture maturity: Higher involvement of non-quality employees in quality work helps improve quality outcomesSlide Number 12Examples of how companies have applied some of these best practices to reduce the cost of quality (1/2)Examples of how companies have applied some of these best practices to reduce the cost of quality (2/2)Slide Number 15