A Risk Assessment within an AI-Driven Warehouse Installation Project

Abstract

The objective of this study was to assess various risks that were associated with Company XYZ’s artificial intelligence-based warehouse facility installation project. This assessment consisted of an employee survey as well as on-site reviews of confined spaces entry, fall protection, housekeeping practices as well as the collection of airborne carbon monoxide monitoring data. The survey identified problems with ventilation and air quality, ergonomic issues on transfer deck, and an absence of standard training. Carbon-monoxide levels remained below OSHA and NIOSH exposure limits, although concerning, readings were detected at higher elevations when fossil fuel-powered equipment were being used, which suggested that limited facility make-up air was present. The confined space assessment for Company XYZ determined that the transfer deck was a non-permit required space, although there was an absence of necessary entry protocols and visible warning signs which indicated administrative deficiencies. Fall hazard risks such as inadequate guardrails, open platform edges, and missing inspection tags on employee harness-based devices were identified. Overall, Company XYZ’s housekeeping situation was satisfactory, although several instances of floor debris and unsecured tools were noted. Practical recommendations for Company XYZ include the implementation of systematic training in safety as well as ventilation during equipment-related work and considerations with respect to ergonomic issues within confined areas. Company XYZ would also benefit from a confined space entry program and written inspection procedures for all fall-protection systems. The findings indicated that systematic risk-assessment methods are necessary during complex warehouse installation projects.