TY - JOUR
T1 - Why slow down? Factors affecting speed loss in process manufacturing
AU - Trattner, Alexandria Lee
AU - Hvam, Lars
AU - Haug, Anders
PY - 2020
Y1 - 2020
N2 - Loss of production speed is an unavoidable reality for process manufacturers. Reduced production speeds are shown to consume 9–15% of available production capacity in various production contexts and create substantial costs for capital-intensive process industries. Amongst the least examined of the six big efficiency losses measured within total productive maintenance, speed loss presents significant opportunities for potential efficiency improvements in manufacturing companies. Based on the literature, this paper presents a framework of the factors related to speed loss, including three overall dimensions: technology factors, human factors and product factors. Next, a case study of two production lines to investigate this framework and quantify the scale of speed loss for the factors identified in the case study. For quantification, generalised least squares regression is performed to study the relationship between each factor and speed loss. The analysis of the production data reveals that technology and human factors have the strongest correlations with speed losses in this industry and account for the most speed loss. This research can directly support operational improvement initiatives in practice by identifying the factors with the strongest relationships to speed loss, aiding practitioners to select the most relevant means to improve speed and identify appropriate overall equipment effectiveness targets.
AB - Loss of production speed is an unavoidable reality for process manufacturers. Reduced production speeds are shown to consume 9–15% of available production capacity in various production contexts and create substantial costs for capital-intensive process industries. Amongst the least examined of the six big efficiency losses measured within total productive maintenance, speed loss presents significant opportunities for potential efficiency improvements in manufacturing companies. Based on the literature, this paper presents a framework of the factors related to speed loss, including three overall dimensions: technology factors, human factors and product factors. Next, a case study of two production lines to investigate this framework and quantify the scale of speed loss for the factors identified in the case study. For quantification, generalised least squares regression is performed to study the relationship between each factor and speed loss. The analysis of the production data reveals that technology and human factors have the strongest correlations with speed losses in this industry and account for the most speed loss. This research can directly support operational improvement initiatives in practice by identifying the factors with the strongest relationships to speed loss, aiding practitioners to select the most relevant means to improve speed and identify appropriate overall equipment effectiveness targets.
U2 - 10.1007/s00170-019-04559-4
DO - 10.1007/s00170-019-04559-4
M3 - Journal article
SN - 0268-3768
VL - 106
SP - 2021
EP - 2034
JO - International Journal of Advanced Manufacturing Technology
JF - International Journal of Advanced Manufacturing Technology
ER -