Maintenance, Repair, and Operations Parts Inventory Management in the Era of Industry 4.0

Chen, Jing; Gusikhin, Oleg; Finkenstaedt, William; Liu, Yuning

doi:10.1016/j.ifacol.2019.11.171

Cited by 35 publications

(19 citation statements)

References 16 publications

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“…Las características particulares que tienen los materiales mro generan una gran dificultad en su administración. No existe una estrategia universal única que funcione para todas las piezas mro, debido a la amplia variedad de atributos de las piezas (Chen et al, 2019). Es usual realizar la simple aplicación de políticas diseñadas para inventarios de materia prima, productos en proceso y productos acabados, basadas en patrones de demanda (Bacchetti y Saccani, 2012;Boylan y Syntetos, 2008;Conceição et al, 2015) que pueden no ser adecuados para este tipo de materiales.…”

Section: Decision-making Model For Maintenance Repair and Operations ...unclassified

Modelo de toma de decisión para materiales de mantenimiento, reparación y operaciones (MRO)

Alves

Guío

2022

Ciencia y Poder Aéreo

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Para optimizar la gestión de inventario en empresas que tienen gran variedad de referencias, es necesario involucrar los programas de mantenimiento a la estrategia general de la organización. Esto incluye, considerar las particularidades de todos los tipos de artículos, en especial los materiales de mantenimiento, reparación y operaciones (MRO). Estos materiales serán el foco de análisis en este estudio porque ocupan gran parte de las bodegas de inventario en las empresas y, por lo tanto, representan gran porcentaje de los costos empresariales. Este estudio, aborda el caso de una empresa que contiene gran número de artículos y que son de alto costo. Con el objetivo de encontrar el modelo más adecuado para gestionarlos, se puede, mediante la definición de un algoritmo, ponderar todos los parámetros considerados importantes para la toma de decisión. Se concluye que, en situaciones como ésta, mejorar algunos factores, como por ejemplo el cálculo del tiempo de reaprovisionamiento (Lead Time en inglés) del proceso, influye mucho más en los ahorros de la empresa que la definición de un modelo de inventario muy complejo.

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Section: Decision-making Model For Maintenance Repair and Operations ...unclassified

Modelo de toma de decisión para materiales de mantenimiento, reparación y operaciones (MRO)

Alves

Guío

2022

Ciencia y Poder Aéreo

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“…e author of [11] claimed that the IoT is significant information technology in the modern generation, indicating the beginning of a new age of information. Furthermore, an early study in [12] discovered that IoT technology efficiently interconnects things with objects.…”

Section: Related Workmentioning

confidence: 99%

Analyzing the Coordinated Relationship between Logistics and Economy Using the Internet of Things in Fujian Province

Yan

Jia

2022

Mobile Information Systems

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The Internet of Things (IoT) is a new method of doing things that have turned traditional lives into high technology. The improvements of IoT include smart economies, smart homes, pollution control, energy efficiency, smart transportation, and intelligence in the capacity. This technology is especially crucial in smart logistics, which is a generator of country and business efficiency and is critical to economic progress. Unfortunately, the current logistics business continues to suffer from high prices and low effectiveness. The advancement of intelligent logistics provides the potential to address these issues. In addition, IoT can generate vast amounts of data and investigate the intricate links between the transactions reflected by these data with the use of a variety of mathematical analytic methods. These characteristics are beneficial to the advancement of intelligent logistics. In this paper, we present a complete overview of IoT technologies used in smart logistics. Initially, the relevant work and IoT-based level of the growth of the logistics sector from a low-carbon viewpoint are presented. Then, we outline the technological solutions for IoT in intelligent logistics. During the experimental work, it selects a technique for estimating carbon emissions to compute the total carbon emissions of the logistics industry in eight provinces in the north and south. The carbon productivity and carbon emission characteristics of China’s logistics industry are then examined. In addition, it calculates the carbon emission efficiency of Fuzhou’s regional logistics industry based on the BCC model. Secondly, the coordination degree model of the composite system is used to analyze the coordination degree between the low-carbon economic system and the logistics industry level in Fujian Province. Furthermore, it selects the index of the logistics subsystem and the index of the low-carbon economic development subsystem to measure the coupling and coordination effect between logistics manufacturing and the low-carbon economy in Fujian Province.

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“…Therefore, companies are maintaining an inventory of components. However, under the framework of Industry 4.0, and with the utilization of digital technologies, the existing inventory practices can be further improved through proper classification of the MRO components while additive manufacturing can facilitate in reducing lead times to produce several components [6][7][8][9][10][26][27][28].…”

Section: Maintenance Under the Framework Of Industry 40mentioning

confidence: 99%

Real-Time Remote Maintenance Support Based on Augmented Reality (AR)

2020

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In the realm of the current industrial revolution, interesting innovations as well as new techniques are constantly being introduced by offering fertile ground for further investigation and improvement in the industrial engineering domain. More specifically, cutting-edge digital technologies in the field of Extended Reality (XR) have become mainstream including Augmented Reality (AR). Furthermore, Cloud Computing has enabled the provision of high-quality services, especially in the controversial field of maintenance. However, since modern machines are becoming more complex, maintenance must be carried out from experienced and well-trained personnel, while overseas support is timely and financially costly. Although AR is a back-bone technology facilitating the development of robust maintenance support tools, they are limited to the provision of predefined scenarios, covering only a limited number of scenarios. This research work aims to address this emerging challenge with the design and development of a framework, for the support of remote maintenance and repair operation based on AR, by creating suitable communication channels between the shop-floor technicians and the expert engineers who are utilizing real-time feedback from the operator's field of view. The applicability of the developed framework is tested in vitro in a lab-based machine shop and in a real-life industrial scenario.

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Maintenance, Repair, and Operations Parts Inventory Management in the Era of Industry 4.0

Cited by 35 publications

References 16 publications

Modelo de toma de decisión para materiales de mantenimiento, reparación y operaciones (MRO)

Modelo de toma de decisión para materiales de mantenimiento, reparación y operaciones (MRO)

Analyzing the Coordinated Relationship between Logistics and Economy Using the Internet of Things in Fujian Province

Real-Time Remote Maintenance Support Based on Augmented Reality (AR)

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