A Memetic Algorithm for staff scheduling problem in airport security service

Soukour, Anas Abdoul; Devendeville, Laure Brisoux; Lucet, Corinne; Moukrim, Aziz

doi:10.1016/j.eswa.2013.06.073

Cited by 41 publications

(7 citation statements)

References 13 publications

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“…Mambo and colleagues [41] observed that the dynamic regulation of the internal environment, depending on flight schedules, could improve efficiency by up to 25%. Studies [41][42][43][44] highlighted the possibility of dynamically managing thermal comfort and lighting in different parts of the terminals. It must be strongly emphasized that only a few works in the literature discuss the energy intensity of terminal operations, and only three [45][46][47] directly correlate with the analysis of energy intensity through operational systems.…”

Section: Energy Consumption Management In Air Transportmentioning

confidence: 99%

Method of Reducing Energy Consumption during Forklift Operator Training in Cargo Terminals Utilizing Virtual Reality

Kierzkowski,

Ryczyński,

Kisiel

2024

Energies

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In the era of shrinking resources of traditional fossil fuels and the increasingly dominant sustainable development policy, actions are taken to reduce energy consumption as much as possible, assuming that we achieve identical operational goals. These activities are apparent in the industries with the most significant energy demand, i.e., the aviation industry. To achieve this, these industries implement modern technologies in all possible areas of operation. One of these areas is the area of operator training, especially the most energy-consuming devices and types of equipment. This article investigated the potential of virtual reality (VR) technology for energy optimization of forklift operating training in airport cargo terminals. The authors propose a method whose practical implementation in one of the cargo terminals reduced energy consumption by several times while training forklift operators. The added value is that the method is universal and, after appropriate modification, can be used to train operators of other devices. The study compared traditional training methods with a VR-based training approach, assessing their impact on energy consumption and overall efficiency of forklift operations in airport cargo terminals. The results prove that VR technology training can significantly reduce energy consumption while improving operational efficiency and can offer a sustainable and effective training solution for the entire logistics sector.

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Section: Energy Consumption Management In Air Transportmentioning

confidence: 99%

Method of Reducing Energy Consumption during Forklift Operator Training in Cargo Terminals Utilizing Virtual Reality

Kierzkowski,

Ryczyński,

Kisiel

2024

Energies

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“…Karam et al (2017) developed a model where the skill of the workers is measured by their efficiencies and, thus, affects their execution times of the tasks. More examples of the heterogeneous workforce can be found in other papers (Abdoul Soukour et al, 2013;Cuevas et al, 2016;Yan et al, 2004).…”

Section: Lspmentioning

confidence: 99%

Multi-skilled workforce scheduling with training and welfare considerations

Peña,

Osorio,

Orejuela

et al. 2023

Engineering Management in Production and Services

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Flexibility in workforce scheduling in services is necessary to reduce the impact of demand uncertainty, absenteeism, and desertion while maintaining high service levels. This paper studies the workforce scheduling problem, including multiple skill accumulation, training, and welfare, as well as flexibility for employees and the company. All these elements are modelled and included in a mixed-integer linear programming (MILP) model that maximises their accumulated skill level. A real case study based on the scheduling of lab assistants to laboratory practices at a university in Colombia is used to generate numerical experiments. Different experiments were conducted, and the results show that the level of skill achieved is highly sensitive to the number of assistants and the number of allocations. The experiments also showed that, while keeping the same number of lab assistants, it is possible to include flexibility and welfare constraints. Finally, the proposed model can generate schedules that achieve high levels of skills and meet the different constraints of the model, including balance, accumulation, demand and welfare.

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“…They consider specific optimization problems, which range from generalized approaches for workforce planning to highly detailed scheduling problems arising in the dynamic airport business. Soukour et al (2013) presented a staff scheduling problem model for an airport security service. The problem is solved in 3 steps: (1) days off scheduling, (2) shift scheduling, and (3) staff assignment.…”

Section: Background and Related Workmentioning

confidence: 99%

Control Model for Ground Crew Scheduling Problem at Small Airports: Case of Serbia

et al. 2021

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Present-day airline industry is quite a competitive field and crew scheduling represents one of the crucial problems due to significant impact on the airline’s cost. The crew scheduling problem is based on the assignment of crew members to operate different tasks of route. The main goal of this paper is to provide an analysis and a solution to one of the biggest problems detected on a small airport in the Serbia - the problem of ground crew scheduling. The paper presents the main characteristics, goals and limitations of a real-life problem identified at this small airport. In order to solve the problem, we developed a dynamic discrete simulation model. The model is developed in a spreadsheet environment of Microsoft Excel. Some of the main limitations found in the development of the model are strong constraints and multiple goals. The model presented in the paper is designed as a useful management tool for smaller airports and is aimed at the improvement of operative processes.

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A Memetic Algorithm for staff scheduling problem in airport security service

Cited by 41 publications

References 13 publications

Method of Reducing Energy Consumption during Forklift Operator Training in Cargo Terminals Utilizing Virtual Reality

Method of Reducing Energy Consumption during Forklift Operator Training in Cargo Terminals Utilizing Virtual Reality

Multi-skilled workforce scheduling with training and welfare considerations

Control Model for Ground Crew Scheduling Problem at Small Airports: Case of Serbia

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