An algorithm for setting priorities and selecting target wastes for minimization.

Area of Science:

• Industrial Hygiene
• Environmental Management
• Chemical Engineering

Background:

• Waste minimization programs are crucial for industrial environmental compliance.
• Identifying priority waste streams is a key challenge in program development.

Purpose of the Study:

• To develop and validate an algorithm for prioritizing waste minimization efforts.
• To provide a systematic method for identifying the most significant waste offenders.

Main Methods:

• Analysis of waste variables including weight, disposal cost, liability, environmental releases, raw material replacement cost, toxicity, and characteristics.
• Development of a prioritization algorithm compatible with regulatory definitions.
• Creation of a matrix to rank waste streams for minimization targets.

Main Results:

• A successful algorithm was developed and implemented for waste prioritization.
• The algorithm effectively identifies the primary targets for waste minimization activities.
• The method allows for differential weighting of various waste factors.

Conclusions:

• The developed algorithm provides a robust framework for industrial waste minimization.
• Prioritization based on comprehensive variable analysis ensures efficient resource allocation.
• This approach aids industrial hygienists in effectively managing and reducing hazardous waste.