China Safety Science Journal ›› 2022, Vol. 32 ›› Issue (8): 201-207.doi: 10.16265/j.cnki.issn1003-3033.2022.08.1308

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Research on multi-factor-modified workload evaluation model of replenishment operation and its simulation

CHEN Changhua1,2(), XU Shuaishuai2, JIANG Yuxiang2, YANG Xiaojie3, XIONG Guanghui4   

  1. 1 School of Management, Xihua University, Chengdu Sichuan 610039, China
    2 Institute of International Economics and Management, Xihua University, Chengdu Sichuan 610039, China
    3 School of Emergency Management, Xihua University, Chengdu Sichuan 610039, China
    4 Yibin Cuiping District Emergency Management Bureau, Yibin Sichuan 644000, China
  • Received:2022-02-18 Revised:2022-05-11 Online:2022-09-05 Published:2023-02-28

Abstract:

In order to improve accuracy of workload assessment and prevent WMSDs caused by fatigue of replenishment operation workers, a multi-factor-modified workload evaluation method based on energy consumption model was proposed. The replenishment operation was divided into handling operation cycle, opening box activity and restocking shelves operation cycle, and an energy consumption model suitable for replenishment was built. Then, with energy consumption and working time as main measurement indexes, oxygen consumption, working posture and ergonomics index of lower back were introduced as correction factors, and a workload assessment model was established. Finally, the model's effectiveness and accuracy were verified through the case of Jack digital human simulation. The results show that compared with workload evaluation that only considers energy consumption and operation time, the proposed one is closer to actual situation, and is more helpful to prevent WMSDs in replenishment operation as multi-ergonomic factors can correct assessment results. Moreover, energy consumption and workload are significantly affected by quantity of replenishment and shelving.

Key words: multi-factor correction, replenishment operation, workload, evaluation model, work-related musculoskeletal disorders (WMSDs), energy consumption, Jack simulation