Industrial Ecosystems
How well do you know your ecosystem? What does it take to limit the global temperature within 2°C, and what are the implications to specific industries? When will autonomous vehicles become main stream and how will it impact other modes of transport? In what areas is preventative medicine cost effective? How will additive manufacturing (3-D printing) disrupt traditional manufacturing? These are just a sample of questions that can be explored through the industrial ecosystem modeling framework.
An industrial ecosystem encompasses an entire flow of goods and services from source to end consumption. A modeling framework is utilized to understand how these complex industrial ecosystems behave. This framework can be used to simulate how the ecosystem responds to industry transformations, emerging technologies, and other potential disruptions. Simply put, it provides a lens to “See the Future” of an entire industry landscape, understand the interdependencies, and position innovation.
Industrial ecosystem market models are built from capturing the basic truths within an industry, defining connections, and describing landscape interactions. The models leverage large data sets to calibrate the governing metrics across the entire ecosystem. Utilizing this foundation based on physical truths, the ecosystems can be projected into the future, contextualizing various forecasts, identifying trends, and detecting the root cause of market dynamics. This approach allows identification of key variables and leading indicators, and quantifies their impact across the entire landscape. Finally, different scenarios of the future can be simulated and interrogated in real-time by manipulating the key variables. These simulated scenarios model how the changes cascade upstream and downstream, stress-testing market opportunities and investments.
With Industrial Ecosystems, you can see across an entire complex industrial environment and strategically position your product strategy and technology roadmap for now and in the future.
Energy from extraction to consumption
The Energy Ecosystem is a complex $5T industry spanning from resource extraction to end-use consumption.
At its very core, this ecosystem model is a global energy-balance, tracking every BTU of energy from extraction, through conversion & delivery, to consumption & final end-use. Based on this fundamental energy-balance, key industry transformations can be simulated and quantified; like electrification of transport, growth of intermittent renewables, and end-use efficiency gains.
Patient needs from birth to death
The Healthcare Ecosystem covers the $8T industry focused on patient health needs across an entire population.
In healthcare, the ecosystem model tracks a targeted population using demographics. This living population can be studied at the general healthcare system level or down into specific disease and care pathways. The healthcare ecosystem provides insight into the future so critical decision makers can consider tradeoffs in patient care and strategically focus their investments. Should you upgrade your mammography system to tomosynthesis? If a new cancer treatment is available, should your country adopt it as a standard of care, or would you be better off to develop screening programs? An ecosystem market model allows the calculation of total system costs and benefits (like quality life years) allowing for sensitivity analysis on each option.
Mass moved from origin to destination
The Transport Ecosystem captures the $7T industry of moving people and freight from origin to destination.
In transport, the ecosystem model is based on the conservation of mass. It tracks movement of people or freight across the distance traveled from origin to destination. For example, the freight transport ecosystem model describes the movement of different types of freight across several transport modes and distance traveled. The competition between the different modes of transport are modeled based on cost, time, and connectivity. Key technology advancements can be simulated; for example, the impact of fully-autonomous trucks on other modes of transport, or of drones for last-mile delivery of goods.
