Complexity Management

Complexity Management

Complexity management is the ability to analyse, review, and optimize complexity in organizations. This practice impacts the entire value chain of an enterprise, meaning that complexity must be viewed from a broad organizational perspective. A sound methodology for effective complexity management begins with a strategy that aligns with the core principles of the company. This is followed by an understanding of the costs and values of complex areas in the value chain. Once these are quantified, the next step is to evaluate the trade-offs between various solutions, resulting in the identification of a sustainable tool, incentive, or process that results in lower complexity.

Ricardo Strategic Consulting (RSC) provide our clients with effective management tools to minimize system and component complexity, thereby yielding significant impact on costs, from development through to production. RSC’s experienced team with diverse industry backgrounds continually delivers proven results in managing complex programs and product portfolios around the world. Our team brings a ‘fresh eyes’ approach to challenge established internal paradigms and implement solutions fit for real-world applications.

Our capabilities combine our expertise and experience in planning, engineering, and management and include:

  • Sound industry knowledge to identify strategic drivers that can reduce complexity
  • Analysis of systems in terms of both functional attributes and physical characteristics
  • Complexity tree analysis to facilitate identification of potential overlapping parts and sub-systems
  • Development of supporting models to support optimal choices for strategic program planning and complexity reduction (cost, SKUs, part count, etc.)

 Some examples of our unique approaches in this area are:

  • Developing iterations of variant trees to better understand the best hierarchy of attributes for the most effective identification of groupings for potential complexity reduction

  • Creating BoM comparator models to compare parts and costs across products

  • Developing optimal inventory levels for effective control of complexity for existing and new product programs

  • Investigating inbound freight to strategically position the program supply base locations to minimize risks to delivery and quality