SOPA: A Framework for Sustainability-Oriented Process Analysis and Re-design in Business Process Management

2024-05-02

arXiv.org

AI Summary

Existing enterprise process management approaches lack systematic modeling and quantitative optimization capabilities for sustainability. This paper proposes SOPA, a novel framework that— for the first time—deeply integrates environmental impact metrics (e.g., carbon footprint, resource consumption) across the entire BPM lifecycle. SOPA synergistically combines process mining, life cycle assessment (LCA), constraint solving, and graph neural networks to enable sustainability assessment, multi-objective co-optimization (efficiency, cost, environmental impact), and interpretable green process redesign. Its core contribution lies in establishing an environment-aware paradigm for process analysis and reengineering. Evaluated on manufacturing and logistics case studies, SOPA achieves an average 23.7% reduction in carbon emissions, a 41% improvement in process circularity, and maintains a 98.2% service timeliness compliance rate.

Technology Category

• Search and Optimization: Evaluation and Analysis
• Planning, Routing, and Scheduling: Optimization of Spatio-temporal Systems
• Constraint Satisfaction and Optimization: Constraint Programming

Application Category

• Systems and Infrastructure for Web, Mobile and WoT: Sustainability and carbon-aware systems for Web, mobile, and WoT
• Responsible Web: Sustainability and climate impact of web technologies
• Search and Retrieval-Augmented AI: Web evaluation methodologies and metrics

Problem

• Environmental Management
• Business Process Optimization
• Sustainability

Innovation

• SOPA
• Lifecycle Assessment
• Activity-Based Costing