Optimizing Manufacturing Workflows: The Impact of Voice Picking on Assembly Sequencing

Authors

Ravi Sankar Thinnati Palanichamy

Abstract

The manufacturing industry is increasingly tasked with delivering customized products under stringent timelines, necessitating efficient assembly workflows to avoid labor inefficiencies and defects. This paper explores the implementation of voice picking technology in manufacturing environments, focusing on its impact on assembly sequencing and operational efficiency. We address the intricacies of assembling a unique product for each order compared to traditional warehouses holding stocked parts for mass production. Our findings illustrate that integrating voice picking into the picking process eliminates manual errors, enhances productivity, and offers real-time validation by utilizing a Manufacturing Execution System (MES). This study quantitatively analyzes the proposed changes, predicting a 45% reduction in pick times, a 60% decrease in defects, and a 7% increase in overall assembly output. We conclude that voice picking not only addresses the current inefficiencies in the custom part assembly line but is also scalable across various manufacturing sectors, ultimately leading to higher profitability and customer satisfaction.

Keywords

Optimizing Manufacturing Workflows: The Impact of Voice Picking on Assembly Sequencing. Ravi Sankar Thinnati Palanichamy. 2021. IJIRCT, Volume 7, Issue 2. Pages 1-5. https://www.ijirct.org/viewPaper.php?paperId=2503025