Development and initial usability evaluation of a digital tool for simulation-based multi-objective optimization of productivity and worker well-being

被引:0
|
作者
Pascual, Aitor Iriondo [1 ]
Hogberg, Dan [1 ]
Syberfeldt, Anna [1 ]
Brolin, Erik [1 ]
机构
[1] Univ Skovde, Sch Engn Sci, S-54128 Skovde, Sweden
关键词
Ergonomics; Digital human modelling; Productivity; Simulation; Optimization; ERGONOMICS; DESIGN; ALGORITHM; CRITERIA;
D O I
10.1016/j.aei.2024.102726
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Engineers use modelling and simulation techniques to efficiently create, evaluate, and optimize design solutions. In an industrial production context, engineers often need to consider requirements related to both productivity and worker well-being in order to find successful design solutions. However, simulations related to productivity and worker well-being respectively, are typically carried out by different engineering roles, using different digital tools. This lack of integrated work procedure could lead to inefficient development processes and suboptimal design solutions. Additionally, since performing multi-objective optimizations is likely to be seen as a complicated task by engineers in areas such as design engineering, production engineering, and ergonomics, requiring specific knowledge and skills, such tasks are typically performed by engineers specialized on optimization. This paper presents the development and usability evaluation of a digital tool that supports engineers not specialized in optimization to define and perform simulation-based multi-objective optimizations of requirements related to both productivity and worker well-being in an automated and simultaneous manner. The digital tool is the result of research carried out over a period of four years, following an iterative development and assessment process by the means of use cases, done in close collaboration with potential users of the digital tool, i.e. engineers at several companies. The usability evaluation of the digital tool shows that potential users in the industry view the tool as a promising support for performing their engineering tasks in a more efficient and integrated manner.
引用
收藏
页数:15
相关论文
共 50 条
  • [1] Optimization of Productivity and Worker Well-Being by Using a Multi-Objective Optimization Framework
    Pascual, Aitor Iriondo
    Hogberg, Dan
    Lamkull, Dan
    Luque, Estela Perez
    Syberfeldt, Anna
    Hanson, Lars
    IISE TRANSACTIONS ON OCCUPATIONAL ERGONOMICS & HUMAN FACTORS, 2021, 9 (3-4): : 143 - 153
  • [2] Enabling Concurrent Multi-Objective Optimization of Worker Well-Being and Productivity in DHM Tools
    Pascual, Aitor Iriondo
    Lind, Andreas
    Hogberg, Dan
    Syberfeldt, Anna
    Hanson, Lars
    SPS 2022, 2022, 21 : 404 - 414
  • [3] Enabling Knowledge Discovery in Multi-Objective Optimizations of Worker Well-Being and Productivity
    Iriondo Pascual, Aitor
    Smedberg, Henrik
    Hogberg, Dan
    Syberfeldt, Anna
    Lamkull, Dan
    SUSTAINABILITY, 2022, 14 (09)
  • [4] MULTI-OBJECTIVE OPTIMIZATION OF WELL-BEING IN THE EUROPEAN UNION MEMBER STATES
    Balezentis, Tomas
    Balezentis, Alvydas
    Brauers, Willem K. M.
    ECONOMIC RESEARCH-EKONOMSKA ISTRAZIVANJA, 2011, 24 (04): : 1 - 15
  • [5] The Simulation-based Multi-objective Evolutionary Optimization (SIMEON) Framework
    Halim, Ronald Apriliyanto
    Seck, Mamadou Diouf
    THEORY OF MODELING & SIMULATION: DEVS INTEGRATIVE M&S SYMPOSIUM 2011 (TMS-DEVS 2011) - 2011 SPRING SIMULATION, 2011, 43 (01): : 169 - 174
  • [6] THE SIMULATION-BASED MULTI-OBJECTIVE EVOLUTIONARY OPTIMIZATION (SIMEON) FRAMEWORK
    Halim, Ronald Apriliyanto
    Seck, Mamadou D.
    PROCEEDINGS OF THE 2011 WINTER SIMULATION CONFERENCE (WSC), 2011, : 2834 - 2846
  • [7] A Comparison of Multi-objective Evolutionary Algorithms for Simulation-Based Optimization
    Tan, Wen Jun
    Turner, Stephen John
    Aydt, Heiko
    ASIASIM 2012, PT III, 2012, 325 : 60 - 72
  • [8] Simulation-based multi-objective muffler optimization using efficient global optimization
    Puthuparampil, Jobin
    Sullivan, Pierre
    NOISE CONTROL ENGINEERING JOURNAL, 2020, 68 (06) : 441 - 458
  • [9] Simulation-based multi-objective system optimization of train traction systems
    Dullinger, Christian
    Struckl, Walter
    Kozek, Martin
    SIMULATION MODELLING PRACTICE AND THEORY, 2017, 72 : 104 - 117
  • [10] A simulation-based optimization approach for multi-objective runway operations scheduling
    Soykan, Bulent
    Rabadi, Ghaith
    SIMULATION-TRANSACTIONS OF THE SOCIETY FOR MODELING AND SIMULATION INTERNATIONAL, 2022, 98 (11): : 991 - 1012