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Impact of human energy expenditure on order picking productivity: a Monte Carlo simulation study in a zone picking system

Al Theeb Nader A., Al-Araidah Omar, Al-Ali Malik M., Khudair Adnan I.

Engineering Management in Production and Services

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2023

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Vol. 15, no. 4

12--24

EN

This article aims to investigate the impact of allowable human energy expenditure (HEE) of order pickers on the throughput of workers in manual order zone picking systems MOP. The method used in this research is the Monte Carlo simulation, used while considering many human and job factors. The results showed that a worker’s gender and an item’s weight have little effect on the HEE. On the other hand, body weight, walking speed, distance travelled, and the targeted zone significantly impacted the HEE, rest allowance, and throughput. For example, male pickers at a weight of 75 kg can move up to speed to 1 m/s and pick up items weighing up to 5 kg without reaching the allowable HEE rate, equal to 4.3 kcal/min, and, thus, no rest is needed. Female pickers at a weight of 75 kg reach the allowable HEE rate, equal to 2.6 kcal/min, at a very low speed of approximately 0.1 m/s when picking up items up to 5 kg, and, thus, frequent rest is needed, which leads to low throughput. To increase the throughput of female pickers, they can be assigned to pick up lighter items. Utilising Monte Carlo simulation to evaluate the HEE in MOP while considering many factors.

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Empirical study on mental stress among healthcare staffs and the influencing workplace stressors

Khasawneh Aws, Malkawi Hiba, Ababneh Shereen, Al-Araidah Omar, Okudan-Kremer Gul

Engineering Management in Production and Services

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2021

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Vol. 13, no. 2

54--67

EN

This study provides empirical indicators on the presence of alarming mental stress levels among healthcare staffs as a result of the work environment. The study uses a comprehensive survey to identify work stressors and to addresses stress symptoms and coping behaviours among the healthcare givers in Jordan as a case study. The study aims to direct management’s attention to work conditions that largely contribute to increasing mental stresses among their healthcare staffs. Moreover, the study identifies out stress symptoms that employees, team leaders and managers should not ignore to help their fellow workers cope with their stresses through legitimate coping behaviours. A total of 300 responses from 176 nurses, 45 technicians and 79 physicians from three hospitals with high patient flows were included in the statistical analyses. Results demonstrate that stressors related to high job demands, especially long working hours, have the highest impact on the development of stress among surveyed caregivers. Job-demand stressors were the most significant predictor of the symptom recurrence level with a β = 0.334. Continual tiredness and frequent headaches were the most frequent stress symptoms. Taking unprescribed medications, smoking tobacco, and faking reasons to take time off were the most common behaviours to relieve stress. This study contributes to the literature theoretically and practically. From a theoretical perspective, the study provides a comprehensive survey that captures the symptoms, relieve behaviours and work-related causes of stress. From the practical perspective, the study helps care providers and healthcare managers address and resolve work stressors and help their staff adopt healthy behaviours to relieve their stresses.

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A fuzzy-TOPSIS model for maintenance outsourcing considering the quality of submitted tender documents

Alshraideh Maysa, Ababneh Shereen, Gunay Elif Elcin, Al-Araidah Omar

Eksploatacja i Niezawodność

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2021

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Vol. 23, no. 3

443--453

EN

The paper provides a multiple-experts Fuzzy-TOPSIS decision-making model for the selection among maintenance contractors based on the quality of tendering documents. The study introduces a set of selection criteria utilizing benefit and cost criteria from literature. The proposed model aggregates subjective linguistic assessments of multiple experts that express their opinions on the degree of importance of criteria and allows multiple decisionmakers to evaluate the compliance of contractors’ documents. For a case study, the model is applied to select among contractors tendering to maintain the heavy-duty cranes of an international steel company from literature. Several decision-making scenarios are investigated, and major changes in the final decision are observed. The changes in obtained results illustrate the need to better address uncertainties in rating and tendering an overqualified contractor at a higher cost.