Condition-Based Maintenance Planning Within the Aviation Industry

Lasch, Rainer; Fritzsche, Roy

doi:10.1007/978-3-319-20863-3_1

Logistics Management

2015

DOI: 10.1007/978-3-319-20863-3_1

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Condition-Based Maintenance Planning Within the Aviation Industry

Rainer Lasch

Roy Fritzsche

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Cited by 2 publications

References 21 publications

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An IoT architecture for preventive maintenance of medical devices in healthcare organizations

Maktoubian

Ansari

2019

Health Technol.

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In recent years, hospitals have spent a significant amount on technologically advanced medical equipment to ensure not only the accuracy and reliability of medical devices, but also the required level of performance. Although medical devices have been revolutionized thanks to technology advancements, outdated maintenance strategies are still used in healthcare systems and services. Also, maintenance plans must often be developed for a mixture of advanced and obsolete technologies being used in medical devices. Therefore, most healthcare organizations have been facing the challenge of detecting equipment-related risks that would have been alleviated if effective integrity monitoring mechanisms were in place. Additionally, continuously growing volumes of large data streams, collected from sensors and actuators embedded into network-enabled sensors and microprocessors of medical equipment, require a scalable platform architecture to support the necessary storage and real-time processing of the data for device monitoring and maintenance. This paper investigates the issue of maintaining medical devices through an Internet-of-Things (IoT)-enabled autonomous integrity monitoring mechanism for those devices generating large-scale real-time data in healthcare organizations. The proposed architecture that includes an integrity monitoring framework and a data analytics module ensures the complete visibility into medical devices and provides a facility to predict possible failures before happening.

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An IoT architecture for preventive maintenance of medical devices in healthcare organizations

Maktoubian

Ansari

2019

Health Technol.

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Inventory Models for Spare Parts Management: A Review

Bounou

Barkany

Biyaali

2017

JERA

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The spare parts inventory is a necessity to ensure the continuity of services. Unwanted service interruptions caused by failures can have serious consequences for human and financial levels. Analytical models begin to look to the random nature of inventory problems. Despite the existence of a wide variety of inventory management models, inventory management of spare parts is a major challenge for organizations. Some authors have integrated the principle of risk of shortage in their different models based on probabilistic and graphical models. This article is in the form of a literature review on models of spare parts management. In this article, we have presented first methods of identification and classification of parts, the approaches of estimation and identification of spare parts needs. Afterwards, we have moved to probabilistic models for spare parts management, among these models, there are models that take aim minimize and master the risk of shortages.

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Condition-Based Maintenance Planning Within the Aviation Industry

Cited by 2 publications

References 21 publications

An IoT architecture for preventive maintenance of medical devices in healthcare organizations

An IoT architecture for preventive maintenance of medical devices in healthcare organizations

Inventory Models for Spare Parts Management: A Review

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