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

Abstract Although the increasing use of automation in industry, manual assembly stations are still common and, in some situations, even inevitable. Current practice in manual assembly lines is to balance them using the takt-time of each workstation and harmonize it. However, this approach mostly does not include ergonomic aspects and thus it may lead to workforce musculoskeletal disorders, extended leaves, and demotivation. This paper presents a holistic human-centric optimization method for line balancing using a novel indicator the ErgoTakt. ErgoTakt improves the legacy takt-time and helps to find an optimum between the ergonomic evaluation of an assembly station and its balance in time. The authors used a custom version of the ErgoSentinel Software and a Microsoft Kinect depth camera to perform online and real-time ergonomic assessment. An optimization algorithm is developed to find the best-fitting solution by minimizing a function of the ergonomic RULA-value and the cycle time of each assembly workstation with respect to the worker's ability. The paper presents the concept, the system-setup and preliminary evaluation of an assembly scenario. The results demonstrate that the new approach is feasible and able to optimize an entire manual assembly process chain in terms of both, economic aspects of a well-balanced production line as well as the ergonomic issue of long term human healthy work.

[1]  D. Chaffin,et al.  Prediction of metabolic rates for manual materials handling jobs. , 1978, American Industrial Hygiene Association journal.

[2]  Juhani Heilala,et al.  Modular reconfigurable flexible final assembly systems , 2001 .

[3]  Luiz Velho,et al.  Kinect and RGBD Images: Challenges and Applications , 2012, 2012 25th SIBGRAPI Conference on Graphics, Patterns and Images Tutorials.

[4]  S Hignett,et al.  Rapid entire body assessment (REBA). , 2000, Applied ergonomics.

[5]  A Garg,et al.  Revised NIOSH equation for the design and evaluation of manual lifting tasks. , 1993, Ergonomics.

[6]  Ralph Bruder,et al.  The European Assembly Worksheet , 2013 .

[7]  Mauro Gamberi,et al.  Motion Analysis System (MAS) for production and ergonomics assessment in the manufacturing processes , 2020, Comput. Ind. Eng..

[8]  Åsa Fast-Berglund,et al.  The Operator 4.0: Human Cyber-Physical Systems & Adaptive Automation Towards Human-Automation Symbiosis Work Systems , 2016, APMS.

[9]  M. M. Ayoub,et al.  A Job Severity Index for the Evaluation and Control of Lifting Injury , 1984, Human factors.

[10]  S. Gokulraj,et al.  Optimization of assembly line balancing using genetic algorithm , 2015 .

[11]  Gabriele Bleser,et al.  Innovative system for real-time ergonomic feedback in industrial manufacturing. , 2013, Applied ergonomics.

[12]  Saeid Nahavandi,et al.  Real Time Ergonomic Assessment for Assembly Operations Using Kinect , 2013, 2013 UKSim 15th International Conference on Computer Modelling and Simulation.

[13]  Marcello Pellicciari,et al.  A framework to design a human-centred adaptive manufacturing system for aging workers , 2017, Adv. Eng. Informatics.

[14]  Daria Battini,et al.  Preventing ergonomic risks with integrated planning on assembly line balancing and parts feeding , 2017, Int. J. Prod. Res..

[15]  Daria Battini,et al.  Innovative real-time system to integrate ergonomic evaluations into warehouse design and management , 2014, Comput. Ind. Eng..

[16]  Mauro Gamberi,et al.  Automatic assessment of the ergonomic risk for manual manufacturing and assembly activities through optical motion capture technology , 2018 .

[17]  D Colombini,et al.  An observational method for classifying exposure to repetitive movements of the upper limbs. , 1998, Ergonomics.

[18]  Antonio Boccaccio,et al.  Enhancing user engagement through the user centric design of a mid-air gesture-based interface for the navigation of virtual-tours in cultural heritage expositions , 2018, Journal of Cultural Heritage.

[19]  A. Garg,et al.  The Strain Index: a proposed method to analyze jobs for risk of distal upper extremity disorders. , 1995, American Industrial Hygiene Association journal.

[20]  Alexandre Dolgui,et al.  Ergonomics in assembly line balancing based on energy expenditure: a multi-objective model , 2016 .

[21]  C. C. Martin,et al.  A real-time ergonomic monitoring system using the Microsoft Kinect , 2012, 2012 IEEE Systems and Information Engineering Design Symposium.

[22]  O Karhu,et al.  Correcting working postures in industry: A practical method for analysis. , 1977, Applied ergonomics.

[23]  Danuta Roman-Liu,et al.  Comparison of concepts in easy-to-use methods for MSD risk assessment. , 2014, Applied ergonomics.

[24]  Nils Boysen,et al.  Assembly line balancing: Which model to use when? , 2006 .

[25]  Gianpaolo Francesco Trotta,et al.  Real time RULA assessment using Kinect v2 sensor. , 2017, Applied ergonomics.

[26]  Giovanni Mummolo,et al.  Ergonomic improvement through job rotations in repetitive manual tasks in case of limited specialization and differentiated ergonomic requirements , 2016 .

[27]  L McAtamney,et al.  RULA: a survey method for the investigation of work-related upper limb disorders. , 1993, Applied ergonomics.

[28]  Giorgio Mossa,et al.  Minimizing the carbon footprint of material handling equipment: Comparison of electric and LPG forklifts , 2016 .

[29]  Pujana Paliyawan,et al.  Office workers syndrome monitoring using kinect , 2014, The 20th Asia-Pacific Conference on Communication (APCC2014).

[30]  E. Occhipinti OCRA: a concise index for the assessment of exposure to repetitive movements of the upper limbs. , 1998, Ergonomics.

[31]  Carlo Alberto Avizzano,et al.  A novel wearable system for the online assessment of risk for biomechanical load in repetitive efforts , 2016 .

[32]  O. Celik,et al.  Systematic review of Kinect applications in elderly care and stroke rehabilitation , 2014, Journal of NeuroEngineering and Rehabilitation.

[33]  Franck Multon,et al.  Validation of an ergonomic assessment method using Kinect data in real workplace conditions. , 2017, Applied ergonomics.

[34]  Olga Battaïa,et al.  Reducing physical ergonomic risks at assembly lines by line balancing and job rotation: A survey , 2017, Comput. Ind. Eng..

[35]  Johan Stahre,et al.  TOWARDS AN OPERATOR 4.0 TYPOLOGY: A HUMAN-CENTRIC PERSPECTIVE ON THE FOURTH INDUSTRIAL REVOLUTION TECHNOLOGIES , 2016 .