Literature DB >> 21907970

A learning curve-based method to implement multifunctional work teams in the Brazilian footwear sector.

L B de M Guimarães1, M J Anzanello, J S Renner.   

Abstract

This paper presents a method for implementing multifunctional work teams in a footwear company that followed the Taylor/Ford system for decades. The suggested framework first applies a Learning Curve (LC) modeling to assess whether rotation between tasks of different complexities affects workers' learning rate and performance. Next, the Macroergonomic Work Analysis (MA) method (Guimarães, 1999, 2009) introduces multifunctional principles in work teams towards workers' training and resources improvement. When applied to a pilot line consisting of 100 workers, the intervention-reduced work related accidents in 80%, absenteeism in 45.65%, and eliminated work related musculoskeletal disorders (WMSD), medical consultations, and turnover. Further, the output rate of the multifunctional team increased average 3% compared to the production rate of the regular lines following the Taylor/Ford system (with the same shoe model being manufactured), while the rework and spoilage rates were reduced 85% and 69%, respectively.
Copyright © 2011 Elsevier Ltd and The Ergonomics Society. All rights reserved.

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Year:  2011        PMID: 21907970     DOI: 10.1016/j.apergo.2011.08.008

Source DB:  PubMed          Journal:  Appl Ergon        ISSN: 0003-6870            Impact factor:   3.661


  2 in total

1.  Relationship between job rotation and work-related low back pain: a cross-sectional study using data from the fifth Korean working conditions survey.

Authors:  Ji-Su Shin; Kwanghyun Seo; Hyun-Jeong Oh; MyeongSeob Lim; Hee-Tae Kang; Kyeong-Sook Jeong; Sang-Baek Koh; Sung-Kyung Kim; Sung-Soo Oh
Journal:  Ann Occup Environ Med       Date:  2021-01-28

Review 2.  Job rotation designed to prevent musculoskeletal disorders and control risk in manufacturing industries: A systematic review.

Authors:  Rosimeire Simprini Padula; Maria Luiza Caires Comper; Emily H Sparer; Jack T Dennerlein
Journal:  Appl Ergon       Date:  2016-08-09       Impact factor: 3.661

  2 in total

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