A Decision Support System for Ship Maintenance Capacity Planning

Boer, R. de; Schutten, Johannes M.J.; Zijm, Willem H.M.

doi:10.1016/s0007-8506(07)60850-6

Cited by 22 publications

(14 citation statements)

References 4 publications

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“…His model includes elements regarding the design of production, control, and information structures. De Boer et al [99] provide a decision making support in process planning, aggregate capacity planning, and scheduling also for the Royal Netherlands Navy Dockyard. A necessary condition in order to complete maintenance, overhaul, and modification projects in time is the availability of materials and spare parts.…”

Section: State-of-the-artmentioning

confidence: 99%

A survey of maintenance and service logistics management: Classification and research agenda from a maritime sector perspective

Eruguz

Tan

Houtum

2017

Computers & Operations Research

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Section: State-of-the-artmentioning

confidence: 99%

A survey of maintenance and service logistics management: Classification and research agenda from a maritime sector perspective

Eruguz

Tan

Houtum

2017

Computers & Operations Research

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“…Moreover, multiple complex and long projects, which require an aggregate rough cut capacity plan followed by a finite capacity schedule in the short term, can be contemporary undertaken at a navy dockyard and compete for the same resources [7]. A ship maintenance scheduling that maximizes squadron and fleet availability has been modeled as a constraint satisfaction problem by Deris et al [1].…”

Section: Technicians and Interventions Scheduling: A Literature Reviewmentioning

confidence: 99%

Technicians and Interventions Scheduling for the Maintenance Service of Container Ships

Meneghetti

Zan

2016

Procedia CIRP

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The problem of personnel and interventions scheduling faced by a container ship maintenance service provider (MSPC), commonly the manufacturer of a main ship subsystem such as engines, is analysed. Clients can make a request for a maintenance service of a containership at a given harbour with a given number of days in advance to the desired date, as established in the service contract. The MSPC is allowed to delay the intervention to any future stop of the route within a specified time window depending on its urgency, as set in the contract. The MSPC technicians can be divided into different categories of skills and further distinguished as belonging to the MSPC main company, to the MSP network of subsidiaries, or hired on demand, with different availability constraints, personnel costs, and transport costs in relation to harbour proximity. Delays on planned arrival dates to harbours as well as changes in the duration of stay are common due to bad meteorological conditions, congestions at harbours, or other issues arisen during sailing or previous stops, so a rolling planning horizon should be adopted to face such a dynamic environment. \ud A Constraint Programming optimisation model hybridized with Large Neighborhood Search is proposed in order to address the problem and its performance compared to actual plans from a world-wide known MSPC. The model has been developed to perform also as a decision making tool; a factorial design of experiment is adopted in order to analyse the impact of a change in some contractual features, such as the minimum time allowed to clients for requiring a service, or the maximum delay allowed to the MSPC to satisfy a service request. How granting clients more flexibility while preserving efficacy and efficiency of the service can so be investigated

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“…Over the years the community has moved on from a component level monitoring to a system level monitoring due to availability of latest technologies, both in terms of sensors and management of data through Clouds. Maintenance planning is another major area of investigation which the community is focused on over the years [11,21,67,76,85,90,94,166,190,201]. The research has evolved over the years from resource-based maintenance planning to whole system planning and optimisation.…”

Section: Introductionmentioning

confidence: 99%

Continuous maintenance and the future – Foundations and technological challenges

et al. 2016

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A Decision Support System for Ship Maintenance Capacity Planning

Cited by 22 publications

References 4 publications

A survey of maintenance and service logistics management: Classification and research agenda from a maritime sector perspective

A survey of maintenance and service logistics management: Classification and research agenda from a maritime sector perspective

Technicians and Interventions Scheduling for the Maintenance Service of Container Ships

Continuous maintenance and the future – Foundations and technological challenges

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