ErgoTakt: A novel approach of human-centered balancing of manual assembly lines

Wilhelm, Markus; Manghisi, Vito Modesto; Uva, Antonello; Fiorentino, Michele; Bräutigam, Volker; Engelmann, Bastian; Schmitt, Jan

doi:10.1016/j.procir.2020.05.250

Cited by 15 publications

(3 citation statements)

References 27 publications

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“…Another novel method for evaluation of ergonomic risks at the assembly lines is proposed by Wilhelm et al (2021), with the ErgoTakt approach they integrated the ErgoSentinel software to derive RULA score in real-time and over a long period. The results show the RULA score at the most critical station decreased about % 30.…”

Section: Literature Reviewmentioning

confidence: 99%

A bi‐objective ergonomic assembly line balancing model with conic scalarization method

Yetkin

Kahya

2022

Hum Ftrs & Erg Mfg Svc

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The most important factor affecting efficiency and ergonomic risk levels in an assembly line design is the problem of assigning certain tasks to certain stations, namely the assembly line balancing problem. In the literature, assembly line balancing problem has often been studied, but studies that consider ergonomic risks are deficient. Recently, it has been one of the issues that have started to attract great attention with the realization of health problems caused by assembly lines. To this end, in this study, a bi‐objective mathematical model is developed that considers balancing assembly line station time and ergonomic risk levels, simultaneously. It is aimed to minimize both station time and the total deviations of ergonomic risk scores for the stations. Weighted sum and conic scalarization methods are applied to solve the bi‐objective model. To analyze the outcomes of the developed model, an application is proposed and tested on a real industrial case, at a home appliance assembly line. The deployment of the OMAX method is a contribution to the literature since it shows an analysis tool which evaluates the results of assembly line balancing. This method evaluates the performance of the stations based on different criteria such as station time and ergonomic risk. The number of high‐risk stations is obtained as 13 in the single‐objective model aiming to minimize the station time, while it is found to be nine in the bi‐objective model solved with CSM, without an increase in the total number of stations.

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Section: Literature Reviewmentioning

confidence: 99%

A bi‐objective ergonomic assembly line balancing model with conic scalarization method

Yetkin

Kahya

2022

Hum Ftrs & Erg Mfg Svc

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“…REBA (Rapid Entire Body Assessment) is a method used to assess working posture. On the work posture method analysis, OWAS inspired complex methods like REBA because these methods can be used in observations to examine hazard scores in activities (Wilhelm et al, 2020). Also, the SMED model used REBA for posture because the SMED model can apply ergonomics in a systematic, structured, and detailed (Afonso et al, 2022).…”

Section: Rapid Entire Body Assessment (Reba)mentioning

confidence: 99%

Analysis of Work Posture and Manual Handling on the Material Transport Activities of Indonesian Traditional Market Worker

Sukma

Kurnianingtyas

2022

IJIEEM

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This research is about the observation of workers transporting sacks in a traditional market. The worker complained about pain in many body parts like the shoulders, waist, and arms, which are presented in the results of the Nordic Body Map questionnaire. This problem can be solved by massaging the body section to reduce musculoskeletal disorders. Because it is often get massaged, it makes the completion time of sack transport become longer. Work posture must be improved because too much pain piles up over long periods and can impact condition health and decrease productivity. The purpose of this research is to evaluate the working posture while doing manual handling. Evaluate work posture using Rapid Entire Body Assessment (REBA) and Manual Handling Assessment Chart (MAC Tool). As a result, work posture and manual handling have a higher level of risk of injury, so we need to investigate and implement change. The level of risk must be reduced to at least medium risk. Using auxiliaries can improve work posture, reduce health risks, reduce load sacks, and increase work productivity. The recommended outcome is adding a skid box to improve the value of REBA and manual material handling by providing a hand trolley cart.

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“…On the other hand, Kawane et al [10] measured and analyzed the assembly work using optical motion capture and machine learning, although they did not treat the disassembly works. Moreover, Wilhelm et al [11] proposed an ergonomic approach to optimize an entire manual assembly process chain in a manual assembly line using ErgoSentinel Software and a Microsoft Kinect depth camera. However, the measurement of disassembly works and that with optical motion capture, which can obtain high-precision absolute position coordinates, are not conducted.…”

Section: Introductionmentioning

confidence: 99%

Measurement of Disassembly Work Using Optical Motion Capture

Kawane

Ijuin

Nakajima

et al. 2023

Lecture Notes in Mechanical Engineering

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In recent years, the depletion of natural resources has been severe globally. One of the solutions to this problem is to reuse and recycle materials from end-of-life (EOL) products and reduce waste. In the industrial field, disassembly work is needed to take back parts/materials from the end-of-life assembly products. Furthermore, in the manufacturing industry, there are human resource development or skill transfer issues due to a declining birth rate and an aging population as well as a labor shortage in developed countries. In particular, in Japan, the population aged 65 and overreached 28.8% of the total population in 2019, and the labor shortage has become more serious. To resolve these issues, the digitization of skills through optical motion capture is promoted in this industry, where three-dimensional coordinate data of workers can be accurately measured. Toshiba Corporation has introduced motion capture for achieving more effective guidance and skill transfer at the work site. However, data related to disassembly were not obtained via motion capture. This study measures and analyzes the motion data for disassembly work obtained via optical motion capture. First, the motion data for disassembly work is obtained via optical motion capture. Next, the data obtained is shown graphically and compared by body part. Finally, the results are shown and discussed.

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ErgoTakt: A novel approach of human-centered balancing of manual assembly lines

Cited by 15 publications

References 27 publications

A bi‐objective ergonomic assembly line balancing model with conic scalarization method

A bi‐objective ergonomic assembly line balancing model with conic scalarization method

Analysis of Work Posture and Manual Handling on the Material Transport Activities of Indonesian Traditional Market Worker

Measurement of Disassembly Work Using Optical Motion Capture

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