A variability taxonomy to support automation decision-making for manufacturing processes

Although many manual operations have been replaced by automation in the manufacturing domain, in industries skilled operators still carry out critical manual tasks such as final assembly. The case for automation in these areas is difficult to justify due to increased complexity and costs out of process variabilities associated with those tasks. The lack of understanding of process in automation design means that industrial automation often does not realise the full benefits the first attempt, resulting in the need to spend additional resource and time, to fully realise the. This article describes a taxonomy of variability when considering automation of processes. Three industrial case studies were analysed to develop the proposed. The results obtained from the taxonomy are discussed with a further case study to its value in supporting automation decision-making.