Performance Measurement from a Macroergonomics Perspective

Zink, Klaus J.; Seibert, Sven

doi:10.1007/978-3-642-01293-8_7

Cited by 4 publications

(2 citation statements)

References 15 publications

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“…Macroergonomics, the study and design of work systems with a focus on the interaction of the organization and system, can assist with organizational change because of its systems approach to HF (Kleiner, 2006;Wilson, 2014). It considers macro issues of the organization and environment along with the ergonomic micro issues (Kleiner, 2004) and shares similarities with broad, holistic approaches like quality management and general management (Zink and Seibert, 2009). The sociotechnical framework of macroergonomics means that performance is multidimensional with many criteria and measurements throughout the work system (Kleiner, 1996;Kleiner, 2004).…”

Section: Hf From the Organization Perspectivementioning

confidence: 99%

Developing human factors metrics and tools to support design and management of production

Greig¹

2023

Preprint

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This dissertation takes an exploratory look at the role of human factors (HF) metrics within an electronics manufacturing organization by focussing on three objectives: 1) determining company stakeholder views of HF metrics, metrics development and HF application, 2) developing a workstation level HF assessment tool for light assembly work, and 3) creating a tool that reports the level of HF integration and maturity in an organization. Mixed methods were used in an action research framework. Research at the case organization was predominantly qualitative and included field notes, audio recordings, and company documents. Identified gaps between engineering and HF metrics were due to HF metrics focussed more on health and safety measures and activities being completed, gaps in the understanding of HF contributions, and the need for new HF tools to generate reporting measures. Five identified themes affecting HF metrics development included 1) knowledge of engineer processes and of HF principles, 2) connection of metrics to the organization, 3) support of the organization and of the information to the organization, 4) resource availability and limitations, and 5) communication format of metrics information. Collaborative user-centered development of a workstation efficiency evaluator tool helped determine data of interest and effective communication of output variables for users. Design stage inputs create outputs that include HF and system information. The tool performed well in a comparison to an observation-based analysis and also demonstrated tolerance to input errors on workstation outcomes. The developed Human Factors Integration Tool assesses HF maturity across organizational functions. Face and content validity of the tool were tested in field testing and workshops. Participants communicated a need for the tool and its contents. Industry stakeholders found the consensus-based tool helped to establish the status of HF in the organization, plan projects to further develop HF capabilities, and initiate discussions on HF for performance and well-being. The created tools demonstrated approaches to the development of future HF tools. These dissertation findings illustrate the need for more HF metric work, including developing HF measures that contribute to organization metrics, and that the development of HF measures and processes need HF considerations in their development.

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Section: Hf From the Organization Perspectivementioning

confidence: 99%

Developing human factors metrics and tools to support design and management of production

Greig¹

2023

Preprint

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“…Furthermore, the performance of human factors within supply chains has been measured in terms of quality (i.e., error) (2,3,4); time (1) and even learning (4,8).…”

Section: Introductionmentioning

confidence: 99%

Cognitive Model of a Semi-Mechanized Picking Operation

Caro

Quintana

et al. 2018

Rev. Cienc. salud

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Introducción: Este documento desarrolla un enfoque pionero sobre los factores humanos de las operaciones semimecanizadas de selección, las cuales se abordan desde una perspectiva cognitiva. Materiales y métodos: El modelo aportado se establece a través de una metodología cualitativa, la cual, a partir de varias teorías, es articulada y aplicada a la situación real de una operación de selección (picking semi) mecanizada de una empresa de alimentos secos. Resultados: Los resultados combinan la arquitectura cognitiva de la operación y sus relaciones con factores logísticos, para disminuir el error humano y, por lo tanto, aumentar el nivel de servicio.

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