Driving Innovation in Meat Processing R&D

Meat processing companies are under increasing pressure to innovate. Consumer demands, sustainability goals, and competitive forces require R&D teams to continuously enhance products, processes, and technologies. This maturity model provides a structured approach to assessing and improving R&D capabilities.

Processing and preserving meat products requires extensive research and development (R&D) to create safe, high-quality, and innovative food solutions. This article explains that the model aims to help meat processing R&D teams methodically improve their innovation programs. The 10 specialist roles who will benefit are:

  • R&D Managers
  • Food Scientists
  • Food Technologists
  • Product Developers
  • Packaging Engineers
  • Quality Control Specialists
  • Regulatory Affairs Specialists
  • Pilot Plant Engineers
  • Prototype Developers
  • Sensory Scientists

Underlying Principles for Meat Processing R&D Maturity

This Maturity Model for meat processing R&D is driven by five founding principles:

  • Scientific Rigor – R&D is grounded in sound science, data, and analytical thinking.
  • Consumer Centricity – Solutions address emerging consumer needs, values, and preferences.
  • Sustainability – Innovation aligns with ecological and social responsibility.
  • Collaboration – Partnerships enhance capabilities and sharing of knowledge.
  • Agility – Nimble systems rapidly prototype and test new ideas.

Example Model for Meat Processing R&D

Maturity LevelDescription
Level 1: BasicAd hoc R&D efforts with limited infrastructure, capabilities, and planning.
Level 2: DevelopingBuilding more structured R&D processes and cross-functional involvement.
Level 3: DefinedR&D is integrated into operations with clear goals, resources, and stage gates.
Level 4: AdvancedR&D drives business strategy with strong pipelines and consumer insights.
Level 5: LeadingWorld-class R&D organization enabling breakthrough innovation.

Level 1: Basic

Assessment Criteria

  • No formal R&D department or team
  • Minimal infrastructure and capabilities
  • Reactive approach with limited planning
  • Primarily relies on external partners

Progressive Elements

At this level, the focus is on building fundamental R&D capabilities, resources, and processes to move beyond ad hoc efforts. Key aspects to improve include:

  • Forming a dedicated R&D team with core roles
  • Developing lab and pilot plant infrastructure
  • Implementing systems to manage projects, data, and knowledge
  • Creating a technology roadmap aligned to business strategy
  • Establishing stage gates and go/no-go decision points

Suggested Benchmarks / Metrics

  • R&D spend as % of revenue – <1% (Industry average is 1-3%)
  • New products launched annually – <2 (Top firms launch 5+ major products/year)
  • R&D employee turnover rate – High (Should be <10% annually)

For example, R&D spend is just 0.5% of revenue, indicating capability gaps. The team scrambles to respond to technical issues but rarely has time for long-term projects.

Action Plan

  • Build a core R&D team with 2-5 scientists/engineers
  • Invest in basic lab equipment and systems
  • Define an ideation-to-launch process with stage gates
  • Start mapping out a 3-5 year technology roadmap
  • Develop KPIs to track R&D performance

Level 2: Developing

Assessment Criteria

  • Small dedicated R&D team or department
  • Basic lab and testing capabilities
  • Informal portfolio management
  • Limited cross-functional collaboration

Progressive Elements

At this level, R&D capabilities and processes are strengthened to undertake more impactful projects. Key focus areas include:

  • Expanding the team’s skills and capacity
  • Enhancing lab infrastructure and pilot facilities
  • Improving portfolio management and stage gates
  • Increasing involvement of marketing, operations, procurement

Suggested Benchmarks / Metrics

  • Products in R&D pipeline – <10 (Leading firms have 20-30 active projects)
  • R&D productivity ratio – <20%
    (Revenue from new products/R&D spend)
  • Cross-functional meetings per month – <2 (Should be 4+ for alignment)

For instance, the R&D pipeline has only 5 early-stage concepts. The team struggles to screen and progress ideas effectively to launch.

Action Plan

  • Recruit additional scientists and engineers
  • Expand lab capabilities in analytics and prototypes
  • Create a portfolio tool to capture and evaluate all ideas
  • Schedule quarterly reviews with key functions
  • Develop a process for consumer testing and feedback

Level 3: Defined

Assessment Criteria

  • Integrated R&D department
  • Solid capabilities and infrastructure
  • Structured portfolio management
  • R&D formally aligned to business goals

Progressive Elements

At this level, R&D has established processes but needs greater connectivity across the organization to drive higher ROI. Key aspects to improve:

  • Enhancing collaboration and communication
  • Leveraging consumer insights to inform projects
  • Scaling pilot facilities to test product viability
  • Tightening stage gates to accelerate development
  • Expanding innovation networks externally

Suggested Benchmarks / Metrics

  • New product vitality index – 10-15%
    (Revenue from products <5 years old/total revenue)
  • First pass success rate – 50-60% (Percentage of products that pass stage gates)
  • Open innovation partnerships – <5 (Leading firms have 10-20 active alliances)

For example, new products account for 9% of revenues. Many concepts get stuck in development due to inadequate testing and consumer feedback.

Action Plan

  • Create cross-functional innovation teams
  • Invest in customer research and insights
  • Upgrade pilot plants to scale up prototypes
  • Refine gating criteria to accelerate delivery
  • Identify research institutions and startups to partner with

Level 4: Advanced

Assessment Criteria

  • R&D is a core capability and competitive advantage
  • Strong innovation culture and leadership
  • Robust pipelines and portfolio governance
  • R&D informs business strategy

Progressive Elements

At this level, R&D has strong foundations but needs to expand its strategic role and impact. Key aspects to enhance:

  • Horizon scanning for disruptive technologies
  • Developing differentiated capabilities
  • Commercializing science and IP
  • Becoming the industry benchmark for innovation
  • Enabling innovation across the organization

Suggested Benchmarks / Metrics

  • Platform technologies in portfolio – <3 (Leading firms have 5+ platform innovations)
  • External recognition and awards – Minimal (Target 1-2 high profile innovation awards annually)
  • Employees with advanced degrees – <15% R&D
    (Leading labs have 25%+ PhDs/Masters)

For instance, R&D has expert food scientists but lacks specialized capabilities in areas like biotech or nanotechnology that could enable disruptive innovation.

Action Plan

  • Conduct research to identify emerging and differentiating tech
  • Develop partnerships with universities
  • Strengthen in-house capabilities in data analytics
  • Create CTO role to drive technology vision and strategy
  • Launch corporate venturing unit to fund startups

Level 5: Leading

Assessment Criteria

  • Globally recognized R&D organization and innovation leader
  • R&D fuels radical innovation and transforms the industry
  • High-performance culture attracting the best talent
  • Integrated ecosystem with partners across academia and industry

Progressive Elements

At the pinnacle level, R&D must stay ahead of the curve and expand its ecosystem to accelerate breakthroughs. Areas of focus include:

  • Fostering a creative, entrepreneurial culture
  • Investing in scientific moonshots
  • Leveraging external networks for insights
  • Developing a magnet image to attract world-class talent
  • Maximizing value capture from discoveries

Suggested Benchmarks / Metrics

  • IP commercialization revenue – Minimal (Leaders generate 10-20% of sales from licensed IP)
  • R&D talent retention rate – <80%
    (Leading labs retain 90%+ of top scientists)
  • Research publications/patents – Lagging
    (Aim for industry-leading volume and significance)

For example, R&D has deep expertise but has not fostered the risk-taking culture needed for breakthroughs. There are gaps in retaining top scientists and fully capitalizing on internal innovation.

Action Plan

  • Develop innovation challenges to stimulate radical thinking
  • Sponsor researchers to publish cutting-edge studies
  • Enhance lab facilities to offer unique capabilities
  • Increase incentives and career growth opportunities
  • Implement advanced IP management processes

How will your R&D inspire the future of food?

In closing, this model provides a pathway for meat processing R&D teams to progress across five levels, from foundational capabilities to world-class innovation leadership. At each stage, the focus is on strengthening the key elements needed to achieve sustained success. With a rigorous commitment to the underlying principles and metrics outlined here, R&D organizations can fulfil their vital role in advancing the art and science of food. There is immense opportunity for meat processing R&D to create better, safer products while also pioneering more sustainable production methods. Ultimately, inspired research and development will lead to the transformation of the global food system.

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