Heuristic Decision Support

Heuristic Decision Support refers to decision-making methodologies that utilize experience-based rules or simplified algorithms to find practical solutions in complex, time-sensitive scenarios where traditional optimization is unfeasible. Originating from cognitive psychology and AI research, these methods prioritize speed and feasibility over theoretical optimality. In the context of Enterprise Risk Management (ERM), they are critical for scenarios like supply chain disruptions or cyber incidents where information is incomplete. Unlike exact algorithms, heuristics provide a 'good enough' solution quickly, which is vital for compliance with ISO 22301's requirement for effective incident response. This approach differs from purely data-driven models by incorporating human expertise, making it particularly valuable in unique, non-routine crisis events where historical data may be scarce.

Implementation typically follows three phases: First, Knowledge Codification—transforming historical crisis responses into actionable rules. Second, Scenario-Based Implementation—deploying these rules during real-time incidents, such as activating alternative suppliers during a regional lockdown. Third, Feedback Integration—continuously refining heuristics based on post-incident reviews. For example, a Taiwan-based electronics manufacturer could use a heuristic rule to switch to a secondary logistics provider within 2 hours of a port strike, rather than waiting for a full cost-benefit analysis. This approach can reduce Recovery Time Objectives (RTO) by up to 40% and decrease financial losses by 15% compared with traditional, slower decision-making processes. Key performance indicators (KPIs) include decision speed-up ratio and compliance rate with BCP objectives.

Taiwan enterprises face three primary challenges: Lack of digitized institutional knowledge, cross-departmental silos, and regulatory compliance concerns (especially GDPR and Taiwan's Personal Data Protection Act). To overcome these, companies should first implement a Knowledge Management (KM) system to capture expert heuristics, as suggested by the ISO 31000 framework. Second, a clear RACI matrix must be established to prevent decision-making bottlenecks during crises. Third, any automated heuristic-based decision-making must be audited for compliance with data-related regulations, ensuring human oversight is maintained. The recommended roadmap is to be completed within 12 months, starting with a pilot program in the most critical business function, followed by company-wide rollout and ISO 22301 certification.

Winners Consulting Services Co., Ltd. specializes in Heuristic Decision Support for Taiwan enterprises, delivering compliant management systems within 90 days, with over 100 successful client engagements. Free consultation: https://winners.com.tw/contact