The Evaluation of Existing Large-Scale Retailers’ Furniture Using DHM

  • Carlo Emilio Standoli
  • Stefano Elio Lenzi
  • Nicola Francesco Lopomo
  • Paolo Perego
  • Giuseppe Andreoni
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 822)


Digital Human Modeling (DHM) can support the design of the working environment, to avoid the risks of work-related musculoskeletal diseases and disorders (WRMSD). Large Scale Retail Trade involves a large amount of workers, performing a huge number of tasks and activities. The aim of this study was to analyze the working activities and tasks and assess existing furniture by the use of DHM, thus to evaluate the risk of developing WRMSD. Two case studies were analyzed: supermarket clerks and cashiers, involved in restocking and cash desk activities. By using DHM approach, this furniture was assessed in terms of reachability and adjustability. Outcomes of this evaluation were realized in terms of reaching maps, comparing different genders and height/weight percentiles. Preliminary findings suggested the use of dedicated guidelines to choose and set-up furniture in these specific applications, underling the variety of issues present in the large-scale retail trade.


Digital human modeling Human factors Large scale retail trade Work-related musculoskeletal disorders 


  1. 1.
    International Standard ISO 11228—Parts 1, 2, 3 (2007)Google Scholar
  2. 2.
    D.Lgs. 81/08, Testo Unico in materia di salute e sicurezza nei luoghi di lavoro—TUSL8 (2008)Google Scholar
  3. 3.
    Mazzola M, Forzoni L, D’Onofrio S, Standoli CE, Andreoni G (2014) Evaluation of professional ultrasound probes with Santos DHM. Handling comfort map generation and ergonomics assessment of different grasps. In: Proceedings of the 5th international conference on applied human factors and ergonomics, AHFE 2014, Kraków, Poland (2014)Google Scholar
  4. 4.
    Mazzola M, Forzoni L, D’Onofrio S, Marler T, Beck S (2014) Using Santos DHM to design the working environment for sonographers in order to minimize the risks of musculoskeletal disorders and to satisfy the clinical recommendations. In: Proceedings of the 5th international conference on applied human factors and ergonomics, AHFE 2014, Kraków, PolandGoogle Scholar
  5. 5.
    Mazzola M, Forzoni L, D’Onofrio S, Andreoni G (2016) Use of digital human model for ultrasound system design: a case study to minimize the risks of musculoskeletal disorders. Int J Ind ErgonGoogle Scholar
  6. 6.
    International Standard ISO 3411 (2007) Earth moving machinery—Physical dimension of operators and minimum operator space envelope, 4th ednGoogle Scholar
  7. 7.
    Yang J, Marler T, Beck S, Abdel-Malek K, Kim H-J (2006) Real-time optimal reach-Posture prediction in a new interactive virtual environment. J Comput Sci Technol 21(2):189–198CrossRefGoogle Scholar
  8. 8.
    Yang J, Marler T, Kim H-J, Arora JS, Abdel-Malek K (2004) Multi-objective optimization for upper body posture prediction. In: 10th AIAA/ISSMO multidisciplinary analysis and optimization conference, Albany, NY, USAGoogle Scholar
  9. 9.
    Yang J, Verna U, Penmatsa R, Marler T, Beck S, Rahmatalla S, Abdel-Malek K, Harrison C (2008) Development of a zone differentiation tool for visualization of postural comfort, SAE 2008 World Congress, Detroit, MI, USAGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Dipartimento di DesignPolitecnico di MilanoMilanItaly
  2. 2.Dipartimento di Ingegneria dell’InformazioneUniversità degli Studi di BresciaBresciaItaly

Personalised recommendations