Cognitive and metabolic workload assessment techniques: A review in automotive manufacturing context. Issue 1 (28th June 2021)

• Record Type: Journal Article
• Authors: Dadashi, Nastaran; Lawson, Glyn; Marshall, Michael; Stokes, Gary
• Other Names: Stanton Neville A. guestEditor.
• Is Part Of: Human factors and ergonomics in manufacturing and service industries. Volume 32:Issue 1(2022)
• Page Start: 20
• Page End: 34
• Publication Date: 2021-06-28
• Subjects: automotive manufacturing -- cognitive workload -- ergonomics intervention -- metabolic workload; Computer integrated manufacturing systems -- Periodicals; Human engineering -- Periodicals; 620.8205
• DOI: 10.1002/hfm.20928
• Languages: English
• ISSNs: 1090-8471

Abstract

Abstract: Ergonomics assessment in the automotive industry has, to date, focused mainly on physical ergonomics, for example, manual handling and posture. However, workload and, in particular, metabolic and cognitive workload, contributes to worker efficiency but has not received sufficient attention to yield practical guidance for industry. Successful workload assessment requires in‐depth understanding of the context in which it will be conducted and of the various assessment techniques which will be applied, with consideration given to factors such as feasibility, resources, and skill of the assessor. These requirements are met with challenges within large and complex organizations and are often dealt with in a piecemeal and isolated matter (i.e., reactive workload assessment). The present paper explores these challenges within the automotive manufacturing industry and aims to develop a decision matrix to guide effective selection of workload assessment techniques focused on metabolic and cognitive demands. It also presents the requirements for time, equipment, and knowledge to implement these techniques as part of a participatory ergonomics approach. Early findings suggest that most assessment techniques reviewed require further development, for example, to establish the acceptance criteria for the specific workload scenario. However, five methods (Garg, Borg RPE, IPAQ, SWAT, and NASA‐TLX) are ready to use in certain applications. Ultimately, the findings suggest that it is possible to implement a participatory workload evaluation program within large and complex manufacturing plants.