A rule-based system to support carbon resource planning under C&T conditions

Abstract

As part of a larger research project, this study addresses issues of risk-based decision-making based on different decision-makers in carbon resource planning for manufacturers under the constraints of C&T, we specify their characterization of behavior, attitude to the C&T program, and design their rule-based expert system (RBS) respectively. we develop discrete-event simulation models for conservative decision-maker and proactive decision-maker to conduct experimental analyzes. More than three years of efforts have been made on extensive literature review and empirical studies (such as site-visits and meetings) to identify the problem and define system models for intended analysis. A baseline model has been implemented with ARENA© and limited experiments were conducted to verify the basic functions. While the preliminary results confirmed with the expectations about the system behavior and validated the original ideas, tremendous work remains in terms of model implementation, modification and experiments.