Incorporating human factors into the AAMT selection: a framework and process

Borges, Lilian Adriana; Tan, Kim Hua

Abstract

Human factors such as employee morale and workers skills greatly influence the successful adoption of automated and advanced manufacturing technologies. For newly industrialised countries, the evaluation of these factors before technology selection is particularly paramount. Countries such as Brazil are in the critical early stages of technology adoption and low rates of secondary education and scarcity of technicians reinforce the importance of assessing human factors before the actual technology implementation. Although methods have been proposed to evaluate intangible aspects, the lack of a structured approach to identify and quantify human factors still constitutes a major hurdle. The paper describes a framework and process to assist managers in identifying and evaluating human factors in the selection. The approach was tested in eight companies in Brazil. The results indicated that the main advantages of the proposed approach are: (a) provide a comprehensive justification of technology adoption by identifying and quantifying intangible aspects; and (b) supply a practical process to be incorporated into the selection decision-making process.

Citation

Borges, L. A., & Tan, K. H. (2017). Incorporating human factors into the AAMT selection: a framework and process. International Journal of Production Research, 55(5), 1459-1470. https://doi.org/10.1080/00207543.2016.1259668

• Journal Article Type: Article
• Acceptance Date: Nov 2, 2016
• Online Publication Date: Nov 21, 2016
• Publication Date: Mar 4, 2017
• Deposit Date: Mar 11, 2019
• Journal: International Journal of Production Research
• Print ISSN: 0020-7543
• Electronic ISSN: 1366-588X
• Publisher: Taylor and Francis
• Peer Reviewed: Peer Reviewed
• Volume: 55
• Issue: 5
• Pages: 1459-1470
• DOI: https://doi.org/10.1080/00207543.2016.1259668
• Keywords: human factors; AAMT selection; Taguchi's loss function; process approach; framework
• Public URL: https://nottingham-repository.worktribe.com/output/1624713
• Publisher URL: https://www.tandfonline.com/doi/full/10.1080/00207543.2016.1259668
• Additional Information: Peer Review Statement: The publishing and review policy for this title is described in its Aims & Scope.; Aim & Scope: http://www.tandfonline.com/action/journalInformation?show=aimsScope&journalCode=tprs20