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
  • [41] Multi-Objective Display Panel Design Optimization using Circuit Simulation-Based Evolutionary Algorithm
    Chen, Yu-Yu
    Li, Yiming
    Chen, Chieh-Yang
    Chiang, Chien-Hshueh
    2012 CONFERENCE ON TECHNOLOGIES AND APPLICATIONS OF ARTIFICIAL INTELLIGENCE (TAAI), 2012, : 188 - 192
  • [42] Stochastic multi-objective production-distribution network design using simulation-based optimization
    Ding, Hongwei
    Benyoucef, Lyes
    Xie, Xiaolan
    INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2009, 47 (02) : 479 - 505
  • [43] A simulation-based multi-objective design optimization of electronic packages under thermal cycling and bending
    Xu, L
    Reinikainen, T
    Wei, R
    Bo, PW
    Han, ZX
    Agonafer, D
    MICROELECTRONICS RELIABILITY, 2004, 44 (12) : 1977 - 1983
  • [44] ENABLING KNOWLEDGE DISCOVERY FROM SIMULATION-BASED MULTI-OBJECTIVE OPTIMIZATION IN RECONFIGURABLE MANUFACTURING SYSTEMS
    Diaz, Carlos Alberto Barrera
    Smedberg, Henrik
    Bandaru, Sunith
    Ng, Amos H. C.
    2022 WINTER SIMULATION CONFERENCE (WSC), 2022, : 1794 - 1805
  • [45] Simulation-based multi-objective optimization for enhanced safety of fire emergency response in metro stations
    Liu, Qiong
    He, Renfei
    Zhang, Limao
    RELIABILITY ENGINEERING & SYSTEM SAFETY, 2022, 228
  • [46] Automatic design of scheduling rules for complex manufacturing systems by multi-objective simulation-based optimization
    Freitag, Michael
    Hildebrandt, Torsten
    CIRP ANNALS-MANUFACTURING TECHNOLOGY, 2016, 65 (01) : 433 - 436
  • [47] An Enhanced Simulation-Based Multi-Objective Optimization Approach with Knowledge Discovery for Reconfigurable Manufacturing Systems
    Barrera-Diaz, Carlos Alberto
    Nourmohammadi, Amir
    Smedberg, Henrik
    Aslam, Tehseen
    Ng, Amos H. C.
    MATHEMATICS, 2023, 11 (06)
  • [48] Comparison of Metaheuristic Approaches for Multi-objective Simulation-Based Optimization in Supply Chain Inventory Management
    Amodeo, Lionel
    Prins, Christian
    Sanchez, David Ricardo
    APPLICATIONS OF EVOLUTIONARY COMPUTING, PROCEEDINGS, 2009, 5484 : 798 - +
  • [49] Multi-objective optimization of the building energy performance: A simulation-based approach by means of particle swarm optimization (PSO)
    Delgarm, N.
    Sajadi, B.
    Kowsary, F.
    Delgarm, S.
    APPLIED ENERGY, 2016, 170 : 293 - 303
  • [50] Simulation-based engineering design: solving parameter inference and multi-objective optimization problems on a shared simulation budget
    Jones, Oliver P. H.
    Oakley, Jeremy E.
    Purshouse, Robin C.
    2021 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC), 2021, : 1399 - 1405