Maintenance Operation

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Stephan Staudacher - One of the best experts on this subject based on the ideXlab platform.

  • Systematic simulation based approach for the identification and implementation of a scheduling rule in the aircraft engine Maintenance
    International Journal of Production Economics, 2014
    Co-Authors: Christoph Reményi, Stephan Staudacher
    Abstract:

    In the current situation of fluctuating demands and market driven turbulences, new part manufactures have to deal with many turbulence factors. Companies operating in the MRO (Maintenance, repair and overhaul) sector have to additionally deal with major variations of work load and work contents. In addition, the Operational processes of the Maintenance contractors are strongly affected by the influence of the customers. The delivery date of the corresponding order is highly influenced by the customer. Besides the information about the actual work load is only completely known when the inspection is completed. Since the planning of the Maintenance event and the Maintenance Operation are hard to handle, the focus of the approach presented in this paper is set on improving the Maintenance Operation by finding suitable scheduling rules for the job-shop Operation of the Maintenance. We hypothesize that the use of scheduling rules can improve the Maintenance Operation. The main question which is answered in this paper is the question if an improvement of the logistical targets of the Maintenance system can be accomplished with the use of decentralized scheduling rules. As part of the examination, a systematic simulation based approach for the identification of scheduling rules is defined. Due to the need of different studies, a simulation model is developed. With this model, the different simulation studies can easily be accomplished. The simulation results show an influence of the decentralized scheduling before each of the machine tools. The best results were achieved by the combinations of FIFO/Slack and ESD/Slack with an influence on the target values on-time delivery, work in progress, the throughput, the performance and the throughput time. Further on a tool for the implementation of the identified scheduling rule in a decentralized shop control is described. Besides the validation of the tool in an aircraft engine company is made. The application of a Slack rule during a period with increased workload of 36% showed a nearly constant on-time delivery. © 2012 Elsevier B.V.

  • systematic simulation based approach for the identification and implementation of a scheduling rule in the aircraft engine Maintenance
    International Journal of Production Economics, 2014
    Co-Authors: Christoph Reményi, Stephan Staudacher
    Abstract:

    In the current situation of fluctuating demands and market driven turbulences, new part manufactures have to deal with many turbulence factors. Companies operating in the MRO (Maintenance, repair and overhaul) sector have to additionally deal with major variations of work load and work contents. In addition, the Operational processes of the Maintenance contractors are strongly affected by the influence of the customers. The delivery date of the corresponding order is highly influenced by the customer. Besides the information about the actual work load is only completely known when the inspection is completed. Since the planning of the Maintenance event and the Maintenance Operation are hard to handle, the focus of the approach presented in this paper is set on improving the Maintenance Operation by finding suitable scheduling rules for the job-shop Operation of the Maintenance. We hypothesize that the use of scheduling rules can improve the Maintenance Operation. The main question which is answered in this paper is the question if an improvement of the logistical targets of the Maintenance system can be accomplished with the use of decentralized scheduling rules. As part of the examination, a systematic simulation based approach for the identification of scheduling rules is defined. Due to the need of different studies, a simulation model is developed. With this model, the different simulation studies can easily be accomplished. The simulation results show an influence of the decentralized scheduling before each of the machine tools. The best results were achieved by the combinations of FIFO/Slack and ESD/Slack with an influence on the target values on-time delivery, work in progress, the throughput, the performance and the throughput time.

Timothy S. Vaughan - One of the best experts on this subject based on the ideXlab platform.

  • failure replacement and preventive Maintenance spare parts ordering policy
    European Journal of Operational Research, 2005
    Co-Authors: Timothy S. Vaughan
    Abstract:

    Abstract This paper addresses inventory policy for spare parts, when demand for the spare parts arises due to regularly scheduled preventive Maintenance, as well as random failure of units in service. A stochastic dynamic programming model is used to characterize an ordering policy which addresses both sources of demand in a unified manner. The optimal policy has the form ( s ( k ), S ( k )), where k is the number of periods until the next scheduled preventive Maintenance Operation. The nature of the ( s ( k ), S ( k )) policy is characterized through numeric evaluation. The efficiency of the optimal policy is evaluated, relative to a simpler policy which addresses the failure replacement and preventive Maintenance demands with separate ordering policies.

  • Failure replacement and preventive Maintenance spare parts ordering policy
    European Journal of Operational Research, 2005
    Co-Authors: Timothy S. Vaughan
    Abstract:

    This paper addresses inventory policy for spare parts, when demand for the spare parts arises due to regularly scheduled preventive Maintenance, as well as random failure of units in service. A stochastic dynamic programming model is used to characterize an ordering policy which addresses both sources of demand in a unified manner. The optimal policy has the form (s(k),S(k)), where k is the number of periods until the next scheduled preventive Maintenance Operation. The nature of the (s(k),S(k)) policy is characterized through numeric evaluation. The efficiency of the optimal policy is evaluated, relative to a simpler policy which addresses the failure replacement and preventive Maintenance demands with separate ordering policies. © 2003 Elsevier B.V. All rights reserved.

Christoph Reményi - One of the best experts on this subject based on the ideXlab platform.

  • Systematic simulation based approach for the identification and implementation of a scheduling rule in the aircraft engine Maintenance
    International Journal of Production Economics, 2014
    Co-Authors: Christoph Reményi, Stephan Staudacher
    Abstract:

    In the current situation of fluctuating demands and market driven turbulences, new part manufactures have to deal with many turbulence factors. Companies operating in the MRO (Maintenance, repair and overhaul) sector have to additionally deal with major variations of work load and work contents. In addition, the Operational processes of the Maintenance contractors are strongly affected by the influence of the customers. The delivery date of the corresponding order is highly influenced by the customer. Besides the information about the actual work load is only completely known when the inspection is completed. Since the planning of the Maintenance event and the Maintenance Operation are hard to handle, the focus of the approach presented in this paper is set on improving the Maintenance Operation by finding suitable scheduling rules for the job-shop Operation of the Maintenance. We hypothesize that the use of scheduling rules can improve the Maintenance Operation. The main question which is answered in this paper is the question if an improvement of the logistical targets of the Maintenance system can be accomplished with the use of decentralized scheduling rules. As part of the examination, a systematic simulation based approach for the identification of scheduling rules is defined. Due to the need of different studies, a simulation model is developed. With this model, the different simulation studies can easily be accomplished. The simulation results show an influence of the decentralized scheduling before each of the machine tools. The best results were achieved by the combinations of FIFO/Slack and ESD/Slack with an influence on the target values on-time delivery, work in progress, the throughput, the performance and the throughput time. Further on a tool for the implementation of the identified scheduling rule in a decentralized shop control is described. Besides the validation of the tool in an aircraft engine company is made. The application of a Slack rule during a period with increased workload of 36% showed a nearly constant on-time delivery. © 2012 Elsevier B.V.

  • systematic simulation based approach for the identification and implementation of a scheduling rule in the aircraft engine Maintenance
    International Journal of Production Economics, 2014
    Co-Authors: Christoph Reményi, Stephan Staudacher
    Abstract:

    In the current situation of fluctuating demands and market driven turbulences, new part manufactures have to deal with many turbulence factors. Companies operating in the MRO (Maintenance, repair and overhaul) sector have to additionally deal with major variations of work load and work contents. In addition, the Operational processes of the Maintenance contractors are strongly affected by the influence of the customers. The delivery date of the corresponding order is highly influenced by the customer. Besides the information about the actual work load is only completely known when the inspection is completed. Since the planning of the Maintenance event and the Maintenance Operation are hard to handle, the focus of the approach presented in this paper is set on improving the Maintenance Operation by finding suitable scheduling rules for the job-shop Operation of the Maintenance. We hypothesize that the use of scheduling rules can improve the Maintenance Operation. The main question which is answered in this paper is the question if an improvement of the logistical targets of the Maintenance system can be accomplished with the use of decentralized scheduling rules. As part of the examination, a systematic simulation based approach for the identification of scheduling rules is defined. Due to the need of different studies, a simulation model is developed. With this model, the different simulation studies can easily be accomplished. The simulation results show an influence of the decentralized scheduling before each of the machine tools. The best results were achieved by the combinations of FIFO/Slack and ESD/Slack with an influence on the target values on-time delivery, work in progress, the throughput, the performance and the throughput time.

Monica Bordegoni - One of the best experts on this subject based on the ideXlab platform.

  • Multimodal training and tele-assistance systems for the Maintenance of industrial products
    Virtual and Physical Prototyping, 2013
    Co-Authors: Francesco Ferrise, Giuseppe Caruso, Monica Bordegoni
    Abstract:

    The paper describes an application based on Virtual and Augmented Reality technologies specifically developed to support Maintenance Operations of industrial products. Two scenarios have been proposed. In the first an operator learns how to perform a Maintenance Operation in a multimodal Virtual Reality environment that mixes a traditional instruction manual with the simulation, based on visual and haptic technologies, of the Maintenance training task. In the second scenario, a skilled user operating in a multimodal Virtual Reality environment can remotely train another operator who sees the instructions about how the Operations should be correctly performed, which are superimposed onto the real product. The paper presents the development of the application as well as its testing with users. Furthermore limits and potentialities of the use of Virtual and Augmented Reality technologies for training operators for product Maintenance are discussed. © 2013 Copyright Taylor and Francis Group, LLC.

Harry M. Sneed - One of the best experts on this subject based on the ideXlab platform.

  • Offering software Maintenance as an offshore service
    2008 IEEE International Conference on Software Maintenance, 2008
    Co-Authors: Harry M. Sneed
    Abstract:

    This keynote is directed to the software service organizations in the emerging countries of Asia and South America as well as to outsourcing companies in Eastern Europe. It summarizes the sad state of many western user organizations caught in the legacy software trap and how eastern software shops can help them. The talk focuses on the processes, techniques and tools required to run a remote software Maintenance Operation, the legalities of Maintenance contracts and the economics of outsourced services. The speaker shares his experience in how to establish a good customer relationship and how to charge the services in a way that is acceptable to both the customer and the service provider.