Adapting Engineering Design Tools to Include Human Factors

Village, Judy; Greig, Michael; Zolfaghari, Saeed; Salustri, Filippo A.; Neumann, Patrick

doi:10.1080/21577323.2014.905884

Cited by 30 publications

(29 citation statements)

References 49 publications

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“…The results presented in this article could help corporate managers to realise the impact of human error on production costs as well as accidents and occupational health hazards in uncertain manufacturing environments. This paper contributes to a stream of research that emphasises integrating human aspects into operations models as called for by [29] and as exemplified by the integration of human aspects like biomechanical loading and fatigue into discrete event simulation [33,34], connecting learning and forgetting into mathematical models of Dual Resource Constrained (DRC) systems [35,36,37], modelling production costs in ways that include employee health hazards [38], and incorporating human aspects into industrial engineering design tools to support the production system design process [39]. This current study contributes to this agenda by providing further examples of novel approaches to integrating human aspects into engineering design and decision making tools that can support better design choices for both improved system safety and long term system performance.…”

Section: Discussionmentioning

confidence: 99%

Considering human error in optimizing production and corrective and preventive maintenance policies for manufacturing systems

Emami-Mehrgani

Neumann

Nadeau

et al. 2016

Applied Mathematical Modelling

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This article extends previous work on co-optimization of production and corrective and preventive maintenance including lockout/tagout. We study the impact of human error on repairable manufacturing systems subject to random failure over an infinite planning horizon and its implications for system capacity and inventory policies, and we derive an optimal policy for minimizing production cost based on machinery maintenance and inventory management while meeting market demand over an infinite horizon. A numerical example is provided to demonstrate the usefulness of the proposed approach and a sensitivity analysis is presented to confirm the efficiency of the control policy.

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Section: Discussionmentioning

confidence: 99%

Considering human error in optimizing production and corrective and preventive maintenance policies for manufacturing systems

Emami-Mehrgani

Neumann

Nadeau

et al. 2016

Applied Mathematical Modelling

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“…Further, HF could be ignored not only due to a lack of connection of HF to organization goals, but also due to a lack of HF knowledge within the organization or within specific individuals. Though HF may be considered common sense (Helander, 1999), the HF information communicated to other stakeholders has shown a lack of appropriate context in reporting information and in the training content to nonspecialists (Wulff et al, 1999b;Village et al, 2013b;Hall-Andersen and Broberg, 2014;Village et al, 2014b). One method of improving the relation of HF to organizational goals is adapting existing organization tools and practices to include HF information and concepts (e.g.…”

Section: Human Factors Needs Measurement and Reportingmentioning

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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“…• Design for manufacturing and assembly guidelines (DFA or HF-DFA) to create cost-effective and operator assembly-friendly products (e.g., Boothroyd et al 2001;Village et al 2014). These methods and guidelines are used in the application developed in "UIW: the Circular Economy Design Framework" (see Bosch, Chapter "Sustainable Furniture That Grows With End-Users" this book).…”

Section: Methodologies To Support Parallel Product and Process Designmentioning

confidence: 99%

“…The Human Factor Design for Assembly (HF-DFA) tool, based on the DFA methodology described by Boothroyd et al (2001), can be used to evaluate the ease of assembly tasks from an operator perspective (Village et al 2014) and improve product design. The face validity and simple scoring of the tool facilitates integration into the design process.…”

Section: Product Development: Modular Product Architecture and Operatormentioning

confidence: 99%

Operator-Oriented Product and Production Process Design for Manufacturing, Maintenance and Upgrading

Rhijn¹,

Bösch²

2017

Dynamics of Long-Life Assets

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The nature of production in the manufacturing industry is changing, and companies face large challenges. Customers expect fast delivery times, proven sustainability, flexibility, and frequent product upgrades. To stay competitive and manage rapid technological demands, a parallel, iterative and interactive development approach for product and process design is required. Closed-loop systems will increase future customer demand for easy upgrading. This requires highly modular and operator-friendly product designs. Because the complexity, variety and unpredictability of products and production tasks will increase, information and support systems for operators are crucial elements. Human factor engineering methodologies are essential to take full advantage of new technologies that support operators in all stages of the product life cycle. Methods and tools that could support companies in improving product, process, and workstation design are presented, and directions for future research and tool development are discussed.

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Adapting Engineering Design Tools to Include Human Factors

Cited by 30 publications

References 49 publications

Considering human error in optimizing production and corrective and preventive maintenance policies for manufacturing systems

Considering human error in optimizing production and corrective and preventive maintenance policies for manufacturing systems

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

Operator-Oriented Product and Production Process Design for Manufacturing, Maintenance and Upgrading

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