Scheduling consecutive days off: A case study of maritime pilots

Lorenzo-Espejo, Antonio; Muñuzuri, Jesús; Onieva, Luis; Cortés, Pablo

doi:10.1016/j.cie.2021.107192

Cited by 7 publications

(2 citation statements)

References 30 publications

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“…[(D, [1, 1]), (H, [8,8]), (D, [14,14])] 19 [(H, [1, 3]), (S, [8,10])] 10 [(T, [1, 2]), (S, [7,8]), (D, [12,13])] 20 [(D, [1, 1]), (H, [8,8]), (D, [14,14])]…”

Section: Experimental Designmentioning

confidence: 99%

“…The corresponding problem can be defined as the FSCO routing and scheduling problem (FSCORSP), which can be classified as the personnel scheduling and routing problem (PSRP). The existing literature studying the PSRP in maritime transportation mainly focuses on the scheduling of personnel, including crews [5][6][7], pilots [8][9][10], and so on. However, very few of these works study the scheduling of inspectors [11][12][13].…”

Section: Introductionmentioning

confidence: 99%

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Optimal Routing and Scheduling of Flag State Control Officers in Maritime Transportation

Qiao,

Yang,

Guo

et al. 2024

Mathematics

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Maritime transportation plays a pivotal role in the global merchandise trade. To improve maritime safety and protect the environment, every state must effectively control ships flying its flag, which is called flag state control (FSC). However, the existing FSC system is so inefficient that it cannot perform its intended function. In this study, we adopt an optimization method to tackle this problem by constructing an integer programming (IP) model to solve the FSC officer routing and scheduling problem, which aims to maximize the total weight of inspected ships with limited budget and human resources. Then we prove that the IP model can be reformulated into a partially relaxed IP model with the guarantee of the result optimality. Finally, we perform a case study using the Hong Kong port as an example. The results show that our model can be solved to optimality within one second at different scales of the problem, with the ship number ranging from 20 to 1000. Furthermore, our study can be extended by considering the arrangement of working timetables with finer granularity and the fatigue level of personnel.

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“…[(D, [1, 1]), (H, [8,8]), (D, [14,14])] 19 [(H, [1, 3]), (S, [8,10])] 10 [(T, [1, 2]), (S, [7,8]), (D, [12,13])] 20 [(D, [1, 1]), (H, [8,8]), (D, [14,14])]…”

Section: Experimental Designmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Optimal Routing and Scheduling of Flag State Control Officers in Maritime Transportation

Qiao,

Yang,

Guo

et al. 2024

Mathematics

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Employee Scheduling in Remote Oil Industry Work Sites

Alfares

2023

Applied Optimization in the Petroleum Industry

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Solving the multisite staff planning and scheduling problem in a sheltered employment centre that employs workers with intellectual disabilities by MILP: a Spanish case study

Maheut

García-Sabater

et al. 2023

Cent Eur J Oper Res

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In sheltered employment centres, staff planning and scheduling activities are critical for operations managers. A generic framework is not easy to set up not only because legal issues are diverse and differ among these service organization types, but one worker may not fit in anywhere at any time. This complexity is greater when workers with specific needs perform work activities in many labour enclaves and different sectors. In this paper, a mixed-integer linear model to solve workers’ shift assignments to other workplaces and various activities to form teams is proposed. The novelty of the proposed model lies in considering specific features, such as the skills matrix and the affinity matrix, between the different actors in a labour enclave. The model is validated using real instances from a case study, and several objectives are tested and discussed. The decision support system that sustains the model is introduced and managerial issues are discussed.

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Scheduling consecutive days off: A case study of maritime pilots

Cited by 7 publications

References 30 publications

Optimal Routing and Scheduling of Flag State Control Officers in Maritime Transportation

Optimal Routing and Scheduling of Flag State Control Officers in Maritime Transportation

Employee Scheduling in Remote Oil Industry Work Sites

Solving the multisite staff planning and scheduling problem in a sheltered employment centre that employs workers with intellectual disabilities by MILP: a Spanish case study

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