An Innovative Risk Matrix Model for Warehousing Productivity Performance

In today’s era of industrial economics, warehousing is a complex process with many moving parts and required to contribute productively the success supply chain management. Therefore, risk management in warehouses crucial point contention ensure sustainability global processes accommodate good productivity performance. this study aims analyse risks factors that affect warehouse performance towards systematic identification critical managers should target sustain grow productivity. This utilised traditional matrix framework, integrating it Borda method Analytical Hierarchy Process (AHP) technique produce an innovative model. The results indicate from constructed ten operation categories 32 factors, seven categories, namely operational, human, market, resource, financial, security regulatory, including 13 were prioritised as most impacting developed analysis model guides targeting have higher influence on would be extremely helpful for companies limited resources but seek improvement mitigation. Considering increasing interest sustainable development goals (economic, environmental, social), arguably, work support boosting these within their organisation. expected benefit understanding how manage risk, handle unexpected disruptions, improve ever-changing uncertain business environments. It often has profound effect level proposes risks, frame them, rate them according importance, particularly