Multi-objective Optimization of Ergonomics and Productivity by Using an Optimization Framework

Pascual, Aitor Iriondo; Högberg, Dan; Syberfeldt, Anna; Brolin, Erik; Luque, Estela Perez; Hanson, Lars; Lämkull, Dan

doi:10.1007/978-3-030-74614-8_46

Cited by 8 publications

(6 citation statements)

References 10 publications

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“…RULA [35,[39][40][41][42][43] OWAS [42] Norman's model of interaction (incl. RULA, REBA) [44] NIOSH lifting equation [35,45] EAWS index (incl.…”

Section: Industrial Worktationsmentioning

confidence: 99%

“…posture) [47] Self-developed method SES (incl. posture) [28] Lower back compression force (LBCF) < 3400 N [35,39] Oxygen-consumption rate (VO2) < 1000 ml/min [35] Muscle activity [45] Manual redesign [40][41][42][44][45][46] Evolutionary algorithm (EA): NSGA-II with single-objective based on RULA [43] GA with multi-objective based on productivity, LBCF, RULA, VO2 [35] Mathematic model GUROBI solver with single-objective based on SES score [28] Driver's cabins (car, tractor, excavator), cockpits…”

Section: Industrial Worktationsmentioning

confidence: 99%

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Ergonomic Optimization of Human-Machine Systems in Virtual Environments – A Systematic Literature Review Identifying Research Gaps

2023

DS 125: Proceedings of the 34th Symposium Design for X (DFX2023)

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Enhancing product ergonomics is becoming increasingly important in the development of human-machine systems. But it requires a high development effort due to costly iterations of physical prototypes and user studies. The use of digital human, product, and interaction models as well as an optimizer redesigning the product using ergonomic assessment and optimization algorithms has the potential of reducing this effort. Since there is a variety of methods and models for the ergonomic assessment and design optimization, a systematic literature review based on the PRISMA statement is presented, analyzing 22 relevant studies. The information of application context, ergonomic assessment methods including human posture, external and internal physical human stress, and product design methods were extracted. Research gaps were identified and further research projects were derived. These gaps involve the appropriate selection of ergonomic assessment measures and criteria, a formulation of an objective function based on the ergonomic assessment, and the selection of suitable design parameters for the ergonomic design optimization. These research questions are to be answered based on a specific use case which is to be selected.

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“…RULA [35,[39][40][41][42][43] OWAS [42] Norman's model of interaction (incl. RULA, REBA) [44] NIOSH lifting equation [35,45] EAWS index (incl.…”

Section: Industrial Worktationsmentioning

confidence: 99%

Section: Industrial Worktationsmentioning

confidence: 99%

Ergonomic Optimization of Human-Machine Systems in Virtual Environments – A Systematic Literature Review Identifying Research Gaps

2023

DS 125: Proceedings of the 34th Symposium Design for X (DFX2023)

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“…The tool follows the workflow of a multi-objective optimization framework of worker well-being and productivity reported in [15] (Figure 1). The optimization framework consist of these major sections: Optimization definition, Model creation in DHM tool, Optimization process, Presentation of results in decision support tool, and Selection of solution.…”

Section: Optimization Workflowmentioning

confidence: 99%

“…However, there is a lack of tools that can handle an overall optimization perspective, where it is possible to treat aspects related to both worker wellbeing and productivity within one tool. In order to handle the overall optimization perspective, a framework and a prototype has been developed, which is reported in [14,15]. However, the early prototype required a lot of manual work to set up and run optimizations, requiring also programming skills from the engineers using the tool.…”

Section: Introductionmentioning

confidence: 99%

Enabling Concurrent Multi-Objective Optimization of Worker Well-Being and Productivity in DHM Tools

Pascual

Lind

Högberg

et al. 2022

Advances in Transdisciplinary Engineering

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Work-related musculoskeletal disorders (WMSDs) are often associated with high costs for manufacturing companies and society, as well as negative effects on sustainable working life of workers. To both ensure workers’ well-being and reduce the costs of WMSDs, it is important to consider worker well-being in the design and operations of production processes. To facilitate the simulation of humans in production and improve worker well-being, there are numerous digital human modelling (DHM) tools available on the market. Besides simulation of humans in production, there are numerous production simulation software to simulate production flows of factories, robots and workstations that offer the possibility of improving the productivity of the stations, optimizing the layout and the configuration of the production lines. Despite of the capabilities of DHM and production flow simulation software, there is a lack of tools that can handle an overall optimization perspective, where it is possible to concurrently treat aspects related to both worker well-being and productivity within one tool. This study presents a prescribed tool that enables concurrent multi-objective optimization of worker well-being and productivity in DHM tools by analyzing the impact of different design alternatives. The tool was assessed in a workstation layout optimization use case. In the use case, risk scores of an ergonomics evaluation method was used as a measure of well-being, and total walking distance and workstation area were used as measures of productivity. The results show that the optimized solutions improve both total walking distance, workstation area and ergonomic risk scores compared to the initial solution. This study suggests that the concurrent multi-objective optimization of worker well-being and productivity could generate more optimal solutions for industry and increase the likelihood for a sustainable working life of workers. Therefore, further studies in this field are claimed to be beneficial to industry, society and workers.

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“…Motion capture technology is one of the more accurate, modern, and objective ways to assess musculoskeletal risk, which will also be the subject of this paper. This technology belongs to the category of direct measurement methods and provides real-time digitalisation of human movement [35][36][37]. Another definition of motion capture (MoCap), as stated by Menolotto [38], is the digital capture and recording of the movements of living objects in space.…”

Section: Introductionmentioning

confidence: 99%

Ergonomics Evaluation Using Motion Capture Technology—Literature Review

et al. 2022

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Due to the increasingly high proportion of manual activities in production processes, there is a constant risk of musculoskeletal disorders or work-related injuries. The risk of these problems is exacerbated by the trend towards an ageing working population. European legislation is pressing for improved working conditions to eliminate the risks associated with health problems for workers. For this reason, the application of ergonomics in this field is growing. Musculoskeletal disorders, which are most often caused by inappropriate working postures, are a major problem. There are many methods for evaluating working postures. However, there is a high degree of subjectivity in the risk assessment. Motion capture kinematic suits can ensure the objectivity of the assessment. This article discusses research on ergonomics assessment using motion capture technology. A systematic literature search method was used for the research, beginning with the determination of the research procedure, through the definition of the research queries, to the formulation of the research itself to identify relevant sources. The study presents the most widely used methods for assessing the ergonomics of work positions using motion capture technology, their advantages, and disadvantages. It also follows the trend in the number of publications between 2010 and 2022 in countries where the topic is most frequently addressed and in the industries where motion capture technology is used for ergonomics assessment in general. The research showed that this approach is most often used in industry and logistics, and less frequently in healthcare and sport. The authors agree that the most frequently used ergonomics assessment methods are not complex enough to be used in combination with motion capture and that a combination of the two is needed. At the same time, this technology has become very important in the field of ergonomic evaluation of work positions, offering a higher degree of objectivity, or can be combined with the use of virtual reality, but the evaluation systems are still not error-free and there is a need for continuous improvement.

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Multi-objective Optimization of Ergonomics and Productivity by Using an Optimization Framework

Cited by 8 publications

References 10 publications

Ergonomic Optimization of Human-Machine Systems in Virtual Environments – A Systematic Literature Review Identifying Research Gaps

Ergonomic Optimization of Human-Machine Systems in Virtual Environments – A Systematic Literature Review Identifying Research Gaps

Enabling Concurrent Multi-Objective Optimization of Worker Well-Being and Productivity in DHM Tools

Ergonomics Evaluation Using Motion Capture Technology—Literature Review

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