An Application of Combined Fuzzy MCDM Techniques in Structuring Disaster Resilience Indicators for Small and Medium Enterprises: A Case Study

摘要

As a small business unit characterized by a high vulnerability to disaster disruption, Small and Medium Enterprises (SMEs) becomes those that are impacted most by disaster disruption. This research proposes to structure disaster resilience indicators by developing methodology utilizing fuzzy Delphi techniques and fuzzy Best-worst method (fuzzy-BWM) to identify and prioritize the relevant disaster resilience indicators for SMEs. A real data application is conducted for SMEs in Padang City. Through gathering experts' opinion, we obtained final list consisting of 26 suitable disaster resilience indicators grouped in four resilience dimensions. We revealed that the “building utility”, “evacuation access” and “shelter facilities” are ranked the highest. Physical resilience was found to be the most crucial dimension since five out of its six indicators are placed in the top ten ranks. This result may reveal that physical infrastructures of SMEs in Padang city are considered as a main concern by the five experts to be developed to realize resilient capability against disaster disruption. This result can be used as the basis for interested parties to prioritize the effort to improve SMEs' capability in avoiding or mitigating future disaster disruption, especially in facing earthquake and tsunami.