Multidimensional Collaborative Management of Environment and Economy in the Internet-of-Things Environment

Area of Science:

• Environmental Economics
• Systems Science
• Management Science

Background:

• Modern environmental economy enterprises face challenges in strategic, distribution, service quality, and warehouse management.
• The Internet of Things (IoT) environment necessitates advanced management approaches for environmental economic systems.

Purpose of the Study:

• To propose a multidimensional collaborative management framework for the modern environmental economy.
• To develop a mathematical model and algorithm for optimizing environmental economic coordination.
• To enhance informatization and intelligentization in environmental economic management.

Main Methods:

• Construction of a multidimensional synergetic-order parameter equation for the environmental economic system.
• Utilizing accurate elimination method to identify information synergy as the order parameter.
• Application of structural equation modeling and quantitative research methods.
• Development of a dynamic multidimensional environmental economic coordination management algorithm using decomposition methods.

Main Results:

• Classification of modern multidimensional coordination of the environmental economy.
• Accurate control of environmental economic system fluctuations and balance via the order parameter.
• Establishment of a planning and decision-making mathematical model.
• Validation of the dynamic coordination management algorithm's effectiveness through numerical experiments.

Conclusions:

• The proposed framework and algorithm effectively support the intelligent and informatized multidimensional collaborative management of the environmental economy.
• Information synergy serves as a critical order parameter for stabilizing and optimizing environmental economic systems.
• The study provides a robust mathematical and algorithmic foundation for addressing complex environmental economic coordination challenges.