A Monte Carlo simulation to estimate fatigue allowance for female order pickers in high traffic manual picking systems

Development of a Lot-Sizing Model to Prevent Heat Stress and Work-Related Musculoskeletal Disorders

“…Because of To express the mean work rate in Watt, MWR will be multiplied with 1 Watt=69.77 kcal/min as suggested by the ISO 80000-5 [42]. MWR is calculated with the metabolic rate equations (kcal/min) presented by Garg et al [35] (Equations [10][11][12][13] where BW is the body weight in kilograms, V is the speed of walking in m/s, G is the grade of the walking surface, S is a decision variable based on the gender of the worker (M/F=1/0). Finally, the total rest time can then be defined as follows: , , T q T q T q T q T q T q otherwise total rest h eat rest r est total rest r est heat rest…”

“…The environmental and economic sustainability aspects have particularly been studied extensively [8][9][10]. According to Korkulu and Bona [11], there are few contributions regarding the social sustainability aspect in the logistics systems [12][13][14][15][16][17][18][19][20][21][22][23][24][25]. Most of the studies have focused on the human energy expenditure as an ergonomic aspect.…”

“…Finco et al [23] developed a bi-objective model that eliminates ergonomic risks in the assembly line design with vibration exposure. Al-Araidah et al [12] developed a Monte Carlo simulation model that considers female order pickers to estimate fatigue allowance [32] with the integration of the energy expenditure formulas of Garg et al [35]. Finco et al [22] developed a mathematical model for assembly line balancing problems with the smoothness index, which integrates human energy expenditures as ergonomic aspects.…”

Balancing assembly lines operating with heterogeneous workers under uncertainty in task processing times

“…Recently, some researchers studied the impact of various factors of a heterogeneous workforce on the performance of assembly line systems (see, e.g. Finco et al, 2019Finco et al, , 2020Al-Araidah et al, 2020). Finco et al (2019) studied the impact of physical effort on worker's availability to provide ground for assigning activities to workers based on their characteristics.…”

“…The authors presented a computational model for line balancing that accounts for the human factor in addition to classical cost variables. Al-Araidah et al (2020) introduced a Monte Carlo simulation model to estimate the average rate of energy expenditure and, consequently, fatigue allowance in manual order picking systems with high demand rates.…”