Track: Industry Practices and Solutions

Abstract

Abstract

This study investigated the level of computer numerical control automation in some selected manufacturing industries in Kano Nigeria. It details the extent of automation, type of operations automated, obstacles and motivators to automate. Earlier research works in the area shows that automation is very  low and there was little or no data to indicate the extent and obstacles to automation, a gap that this work fills. To stay competitive, manufacturing industries need to be flexible and adaptive to new tools that enhance efficiency and effectiveness of operations. Tools such as Lean and Six-Sigma principles that were found to reduce waste in terms of cost, time, and improved quality operates better in well automated industries.  A field survey was conducted where 20 industries were mapped out and served with questionnaires. Follow ups were made for clarifications, and data was collected and analyzed. The results from the study revealed low level of automation in the industries, but the motivation to automate is very high with cost of replacing manufacturing systems with automated ones being the major obstacle.