TY - GEN
T1 - Fatigue Integration to the Flowshop Scheduling Problem
AU - Paredes-Astudillo, Yenny A.
AU - Jimenez, Jose Fernando
AU - Montoya-Torres, Jairo R.
A2 - Botta-Genoulaz, Valérie
A2 - Borangiu, Theodor
A2 - Trentesaux, Damien
A2 - Leitão, Paulo
A2 - Berrah, Lamia
A2 - Jimenez, Jose-Fernando
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
PY - 2024
Y1 - 2024
N2 - Although automation has increased, hand-intensive production systems persist because workers are required to be extremely flexible and precise in completing some tasks. As a result of their impact on manual task productivity, learning and fatigue effects generate interest. This article discusses a flowshop scheduling problem (FSSP) involving physical fatigue. This configuration is commonly used in hand-intensive production systems. A multi-agent model is proposed to validate the integration of physical fatigue into the FSSP. The case study described in this paper is based on a manual picking line with one worker per station. In order to recover efficiently, the location and duration of breaks are crucial. Two break policies are evaluated in this article to identify their impact on human and system performance. As an exploratory approach, this research used benchmark datasets to conduct validation experiments. Our contribution is to develop a model that incorporates fatigue into a flowshop type production system, and define the policy of breaks to minimize the human fatigue dose.
AB - Although automation has increased, hand-intensive production systems persist because workers are required to be extremely flexible and precise in completing some tasks. As a result of their impact on manual task productivity, learning and fatigue effects generate interest. This article discusses a flowshop scheduling problem (FSSP) involving physical fatigue. This configuration is commonly used in hand-intensive production systems. A multi-agent model is proposed to validate the integration of physical fatigue into the FSSP. The case study described in this paper is based on a manual picking line with one worker per station. In order to recover efficiently, the location and duration of breaks are crucial. Two break policies are evaluated in this article to identify their impact on human and system performance. As an exploratory approach, this research used benchmark datasets to conduct validation experiments. Our contribution is to develop a model that incorporates fatigue into a flowshop type production system, and define the policy of breaks to minimize the human fatigue dose.
UR - https://www.scopus.com/pages/publications/85186099976
U2 - 10.1007/978-3-031-53445-4_12
DO - 10.1007/978-3-031-53445-4_12
M3 - Proceedings
AN - SCOPUS:85186099976
SN - 9783031534447
VL - 1136
T3 - Studies in Computational Intelligence
SP - 135
EP - 147
BT - Service Oriented, Holonic and Multi-Agent Manufacturing Systems for Industry of the Future - Proceedings of SOHOMA 2023
PB - Springer Science and Business Media Deutschland GmbH
T2 - 13th International Workshop on Service Orientation in Holonic and Multi-Agent Manufacturing, SOHOMA 2023
Y2 - 28 September 2023 through 29 September 2023
ER -