Abstract
The aim of this study is to uncover the factors that in6luence warehouse management performance (WMP) in the context of the mechanical industry in Bangladesh, with the mediating effect of the adoption of autonomous robots (AR). The study used a survey questionnaire distributed to employees in the warehouse and supply chain management department of various companies in the mechanical industry. By employing the PLS-Algorithm and PLS-SEM in SmartPLS 4, the validity and reliability tests and hypothesis testing were conducted. The PLS-SEM results indicate order picking (OP) and adoption of autonomous robots as the determinants that enhance WMP in Bangladesh’s mechanical industry. Other predictors, e.g., receiving inventory (RI), put-away (PA), storage (ST) and shipping (SH), did not show any signi6icant impact on WMP. A signi6icant indirect relation was found between OP and WMP, with the mediating role of AR. The results suggest that companies should focus on OP optimization and gradual AR integration, supported by targeted training programs, addressing potential skills gaps and minimizing 6inancial constraints. This study contributes to the existing literature by adding a new perspective through examining the adoption of autonomous robots as a mediating variable in the mechanical industry. Even though a wide range of factors were identi6ied as the determinants of WMP in various countries, this research provides insights into the conditions of developing countries, where technological adoption is comparatively lower than in other countries.
Keywords: Autonomous Robots, Order Picking, Put-away, Receiving Inventory, Warehouse Management Performance.