Scheduling the maintenance on a single machine

Qi, Xinyuan; Tsiushuang, Chen; Tu, Fengsheng

doi:10.1057/palgrave.jors.2600791

Cited by 190 publications

(49 citation statements)

References 7 publications

(1 reference statement)

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“…Some authors have approached this problem by determining the optimal PM schedule in the production system and others by taking maintenance as a constraint to the production system (Allaoui et al, 2008). Qi et al (1999) considered a single-machine problem with the possibility of multiple maintenance actions, but they did not explicitly model the risk of not performing maintenance. There are only a few studies that explicitly try to integrate production scheduling and PM decisions by optimising them simultaneously.…”

Section: Integrated Approaches To Production Scheduling and Maintenancementioning

confidence: 99%

Joint consideration of production scheduling, maintenance and quality policies: a review and conceptual framework

Pandey

Kulkarni

Vrat

2010

IJAOM

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Performance of a manufacturing system depends on its ability to simultaneously meet several requirements such as: quick response to market demand, high product quality, low manufacturing costs and timely deliveries; which in turn strongly depend on performance at the shop floor level. In the past, the shop floor level operational policies in the context of scheduling, maintenance and quality have been examined in isolation. However, it is hypothesised that these three aspects of operations planning may also have some interaction effect and hence joint consideration of various policy options pertaining to quality, maintenance and scheduling on the performance of the manufacturing system is an important area for investigation. In this paper, a review of literature addressing the joint consideration of these three aspects is presented and research gaps are highlighted. As a preliminary work, some numerical investigations are also presented to highlight the importance of joint consideration of these three aspects. Finally, a conceptual methodology is presented that can lead to further developments in this field. Some potential research areas in this context are identified. ) of the Indian Institute of Technology, Roorkee (India) and the Director-in-Charge of IIT Delhi (July-December 2000). He has vast experience in teaching, research and consultancy spanning for more than 41 years. He is on the editorial board of several international journals. He has many awards and prizes to his credit. His areas of interest include productivity management, supply chain management, industrial engineering, operations research and operations management. 1 job-attributed criteria (e.g., job flow time) 2 shop-attributed criteria (e.g., machine utilisation) 3 completion-based criteria (e.g., makespan) 4 due-date-based criteria (e.g., tardiness) 5 financial criteria (e.g., job handling cost) 6 miscellaneous criteria (e.g., labour utilisation).In general, production scheduling models are often mathematical programming models designed to maximise or minimise one or more of the above measures. Solution methodologies for such models range from traditional integer programming

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Section: Integrated Approaches To Production Scheduling and Maintenancementioning

confidence: 99%

Joint consideration of production scheduling, maintenance and quality policies: a review and conceptual framework

Pandey

Kulkarni

Vrat

2010

IJAOM

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“…The optimal solution of this model given by GA shows that the objective function is 32594 while both machines take 4 PM activities, and all the PM activities are replacements. , and the processing time of 2 J on machine 1 is 79 which is less than 1 T , then there is no PM activity performed on machine 1 before processing 2 J , but after processing 3 J the total processing time accumulated is 155 which is much more than 80( 2 1…”

Section: Numerical Example and Analysismentioning

confidence: 99%

“…Graves and Lee considered a single-machine scheduling problem, but they scheduled only one PM during the whole planning horizon [1]. Qi et al studied the similar single-machine problem considering the possible multiple maintenance activities [2]. Cassady and Kutanoglu assumed that PM restored the machine to an 'asgood-as-new' condition [3].…”

Section: Introductionmentioning

confidence: 99%

Integrated production scheduling and opportunistic preventive maintenance in the flowshop manufacturing system

Liu

2010

The 2nd International Conference on Information Science and Engineering

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Machines can be unavailable in most real-life manufacturing systems for many reasons. In this paper, we investigate the problem of integrating production scheduling and preventive maintenance in a flowshop composed of M different machines in series, aiming to minimize the total weighed system cost. We assume that for a multi-machine series manufacturing system, whenever one of the M machines is stopped to perform a preventive maintenance activity, the whole system must be stopped. This assumption leads to an increase of preventive maintenance opportunities for the other machines in the system. Then, an integrated model is presented based on the opportunistic maintenance policy while taking into account the economic dependence of different machines. The model aims to search for an optimal combination of production and preventive maintenance planning. To facilitate the construction of the model, a judgment factor and a reason factor are introduced to describe the working state of the system and to explain the reasons for system downtime. The numerical example optimized with Genetic Algorithm on Matlab indicates that this integrated model can reduce the total weighted system cost by nearly 11.72%.

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“…Some researchers attempted to consider maintenance in various production systems with various maintenance strategies. Qi et al [1] considered machine's unavailability with preventive maintenance in a single-machine scheduling problem that proved to be NP-hard. Three heuristic algorithms and a branch-and-bound algorithm are proposed to minimize total completion time.…”

Section: Introductionmentioning

confidence: 99%

Production Scheduling with Mould Maintenance in Flow Shop

Shen¹,

Yang²,

Gao³

et al. 2016

Proceedings of the 2016 4th International Conference on Sensors, Mechatronics and Automation (ICSMA 2016)

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Unavailability of mould for preventive maintenance is usually ignored in research on production scheduling, this paper proposes to take setup and maintenance activities of mould into consideration and establishes an optimization model with objective of total weighted tardiness and earliness to demonstrate the impacts of mould on the production scheduling. Maintenance intervals assumed to be subject to shreshold with usage-based maintenance duration are jointly determined with sequencing problem as variables. Optimal solutions under different maintenance strategies are generated with genetic algorithm and comparative results illustrate the feasibility and effectiveness of the joint-scheduling under consideration of mould unavailability. Researches on production scheduling with batch production like stamping system usually ignore the impacts of mould on the system much as it is among the most critical production resources despite the consideration of machine's unavailability. Mould plays an important role for the mix of

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Scheduling the maintenance on a single machine

Cited by 190 publications

References 7 publications

Joint consideration of production scheduling, maintenance and quality policies: a review and conceptual framework

Joint consideration of production scheduling, maintenance and quality policies: a review and conceptual framework

Integrated production scheduling and opportunistic preventive maintenance in the flowshop manufacturing system

Production Scheduling with Mould Maintenance in Flow Shop

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