Log in

Relevant bibliographies by topics / Equipment Uptime / Journal articles

To see the other types of publications on this topic, follow the link: Equipment Uptime.

Journal articles on the topic 'Equipment Uptime'

Author: Grafiati

Published: 2 June 2025

Last updated: 31 July 2025

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the top 50 journal articles for your research on the topic 'Equipment Uptime.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Browse journal articles on a wide variety of disciplines and organise your bibliography correctly.

1

Annisa, Rahmadayanti, and Wijayanto Andi. "The Influence of Inventory Service Level and Equipment Criticality on Equipment Uptime Through MRO Inventory as an Intervening Variable (Case Study At PT. ABC)." Journal of Economics, Finance And Management Studies 08, no. 05 (2025): 2984–98. https://doi.org/10.5281/zenodo.15478901.

Full text

Abstract:

The oil and gas production field of PT ABC located in Central Java has been operating for 10 years with a gas production capacity of 70 MMSCFD, making it one of the largest gas production fields in Indonesia. However, in the past 4 years, there have been fluctuations in production and a decrease in equipment uptime due to breakdowns in the production facility equipment. The results of the problem analysis indicate that the cause of the decrease in equipment uptime is the constraint on the availability of equipment spare parts in MRO (Maintenance, Repair, and Operation) activities, thus it is n

APA, Harvard, Vancouver, ISO, and other styles

2

McGuinness, Phaedra E. "Equipment uptime dictates revenues." Scanning 27, no. 1 (2006): 57. http://dx.doi.org/10.1002/sca.4950270110.

Full text

APA, Harvard, Vancouver, ISO, and other styles

3

Bake, John Sakwe, Marcus Vinicius Pereira Pessôa, and Juan Manuel Jauregui Becker. "Service Chain Logistics Management for Increasing Equipment Uptime." Procedia CIRP 73 (2018): 210–15. http://dx.doi.org/10.1016/j.procir.2018.04.019.

Full text

APA, Harvard, Vancouver, ISO, and other styles

4

Li, Jingshan, and Semyon M. Meerkov. "On the coefficients of variation of uptime and downtime in manufacturing equipment." Mathematical Problems in Engineering 2005, no. 1 (2005): 1–6. http://dx.doi.org/10.1155/mpe.2005.1.

Full text

Abstract:

It was reported in the literature that the coefficients of variation of uptime and downtime of manufacturing equipment are often less than1. This technical paper is intended to provide an analytical explanation of this phenomenon. Specifically, it shows that the distributions of uptime and downtime have the coefficients of variation less than1if the breakdown and repair rates are increasing functions of time.

APA, Harvard, Vancouver, ISO, and other styles

5

Tishaninova, A. O., and I. A. Tishaninov. "Issues of modern maintenance of feed industry equipment." Sel'skohozjajstvennaja tehnika: obsluzhivanie i remont (Agricultural Machinery: Service and Repair), no. 1 (January 24, 2025): 42–48. https://doi.org/10.33920/sel-10-2501-06.

Full text

Abstract:

The article examines the evolution of maintenance methods in the feed industry, in particular, the transition from reactive to proactive strategies. It examines the implementation of preventive maintenance technologies, equipment condition-based monitoring, and data-driven decision-making to optimize equipment uptime, minimize downtime, and improve product quality. The role of automation, remote diagnostics, and advanced training programs for maintenance personnel is also discussed.

APA, Harvard, Vancouver, ISO, and other styles

6

Kareem, Jamal Ahmed Hama, Kadhim Faraj Arif Saeed, and Omar Mustafa Muhammad Faraj. "Maintenance Practices in Poor Uptime of Operating Equipment Toward Dynamic of Business Issues." International Journal of Innovation and Technology Management 16, no. 02 (2019): 1950017. http://dx.doi.org/10.1142/s0219877019500172.

Full text

Abstract:

Nothing lasts forever and all the equipment in a plant has associated with it some predefined life expectancy or operational life. Maintenance practices are the works of keeping the equipment of the plant in good condition for operation. However, the equipment that does not receive adequate maintenance tends to deviate from optimal performance. This can lead to non-control of degraded processes and product volatility, affecting in turn the dynamics of many business issues in industrial organizations. Given the importance of the foregoing, the current study tried to investigate the role of the

APA, Harvard, Vancouver, ISO, and other styles

7

Ramesh, Betha. "AI in Oil and Gas: Predicting Equipment Failures and Maximizing Uptime." International Journal on Science and Technology 12, no. 1 (2021): 1–13. https://doi.org/10.5281/zenodo.14866257.

Full text

Abstract:

The oil and gas industry faces unprecedented challenges in maintaining operational efficiency while managing aging infrastructure and increasing regulatory pressures. This paper explores the transformative potential of artificial intelligence (AI) in predicting equipment failures and maximizing uptime across upstream, midstream, and downstream operations. Through analysis of real-world implementations and emerging technological frameworks, we demonstrate how machine learning algorithms, particularly deep learning and time-series analysis, can revolutionize traditional maintenance practices. Th

APA, Harvard, Vancouver, ISO, and other styles

8

Okirie, Ahiamadu Jonathan, Mack Barnabas, and Justice Efam Adagbon. "Maintenance Management Optimization: Evaluating Manual and Automated Methods of Tracking Uptime Hours for Offshore Equipment." American Journal of IR 4.0 and Beyond 3, no. 1 (2024): 15–27. http://dx.doi.org/10.54536/ajirb.v3i1.3516.

Full text

Abstract:

Offshore oil and gas fields are among the largest contributors to global oil and gas production. The reliable functioning of these facilities relies heavily on the reliability of the process equipment. Managing and operating offshore equipment is inherently complex, requiring careful planning to ensure maximum uptime and minimal downtime. This study addresses a significant gap in knowledge by comparing the effectiveness of manual and automated methods for tracking the uptime hours of offshore equipment. Using a mixed-methods approach that incorporates quantitative and comparative data analysis

APA, Harvard, Vancouver, ISO, and other styles

9

Putra, Maulana. "KAJIAN TEKNIS PETA JALAN PERALATAN OPERASIONAL METEOROLOGI DIGITAL DI BADAN METEOROLOGI, KLIMATOLOGI, DAN GEOFISIKA." Journal of Economic, Bussines and Accounting (COSTING) 8, no. 3 (2025): 2477–85. https://doi.org/10.31539/costing.v8i3.15276.

Full text

Abstract:

The shift from conventional to digital weather observation systems has become a key priority for Indonesia’s Meteorology, Climatology, and Geophysics Agency (BMKG) in order to improve data accuracy. This research focuses on creating a roadmap for Digital Meteorological Operational Equipment by identifying both minimum and ideal requirements and assessing equipment performance based on international benchmarks, particularly those set by the World Meteorological Organization (WMO). Using a descriptive quantitative approach, the study involves data collection, technical evaluation, and the formul

APA, Harvard, Vancouver, ISO, and other styles

10

Rakes, David, Muhammad Arif, Agus Setiawan, Kerina Putri Nasution, and Yudi Prastyo. "Preventive Maintenance on CNC Machines Using the OEE Method to Reduce Downtime at PT. MTAT." Jurnal Impresi Indonesia 3, no. 7 (2024): 481–90. http://dx.doi.org/10.58344/jii.v3i7.5116.

Full text

Abstract:

This study examines the performance of CNC machines at PT MTAT Indonesia from January to March 2023. Monthly production data, machine uptime, defect rates, and non-productive periods were collected to assess Overall Equipment Effectiveness (OEE). This study aims to analyze the effectiveness of preventive maintenance of CNC machines at PT MTAT Indonesia using the Overall Equipment Effectiveness (OEE) method to reduce downtime. This study uses monthly data from January to March 2023, including production uptime, defect rates, and non-productive periods, to calculate OEE. The analysis showed that

APA, Harvard, Vancouver, ISO, and other styles

11

ANDRIOAIA, DRAGOS-ALEXANDRU, and VASILE GHEORGHITA GAITAN. "A SPECIALTY LITERATURE REVIEW OF THE PREDICTIVE MAINTENANCE SYSTEMS." Journal of Engineering Studies and Research 29, no. 4 (2024): 17–23. http://dx.doi.org/10.29081/jesr.v29i4.002.

Full text

Abstract:

Within the industrial standard 4.0, predictive maintenance has an essential role in production activities, by increasing equipment uptime and decreasing maintenance costs. Predictive maintenance monitors assets through sensors for optimal planning of maintenance operations to keep assets functional. In this paper, the authors perform an analysis of predictive maintenance system, proposed in the specialized literature, highlighting their component elements.

APA, Harvard, Vancouver, ISO, and other styles

12

Gonzalez Monserrate, Steven. "Thermotemporalities, thermomasculinities: Uptime, downtime, and server heat in the digital Anthropocene." New Media & Society 25, no. 2 (2023): 324–44. http://dx.doi.org/10.1177/14614448221149938.

Full text

Abstract:

Amid a warming planet and a surge in digital activity precipitated by COVID-19 lockdowns, the ecological impacts of cloud infrastructures are of increasing interest to scholars and publics. Deemed “essential workers,” data center operators maintain server uptime by keeping equipment cool (via air conditioning). Failure results in overheating and a state of service interruption called downtime. Drawing on ethnographic research in data centers, this article introduces the concept of thermotemporalities to illustrate how time, temperature, and expertise converge in novel formations. By attending

APA, Harvard, Vancouver, ISO, and other styles

13

Amosov, Nikolay, and Mariya Markina. "THE OPTIMAL REPAIR PERIODS DETERMING FOR ENERGY EQUIPMENT OF TPP." Energy Systems 9, no. 1 (2024): 10–14. http://dx.doi.org/10.34031/es.2024.1.001.

Full text

Abstract:

Functional elements, detailes and energy equipment systems of thermal power plants (TPP) are subject to wastage.Main reasons of wastage are different operational modes, critical parameteres usage, fatigue of the equipment. One of the most popular problems for TPP is a failure which has random character. Consequently repairs have stochastic features. Listed data show a necessaty to develop a methodology for deremining optimal repair periods. The aim of this article to develop this methodology. The basis of this methodology is mathematical apparatus of reliability theory, methods of mathematical

APA, Harvard, Vancouver, ISO, and other styles

14

Vorobiev, P. A. "Improving the efficiency of repair departments as a key element of the production process." Upravlenie kachestvom (Quality management), no. 12 (November 16, 2023): 40–46. http://dx.doi.org/10.33920/pro-01-2312-06.

Full text

Abstract:

In the past, maintenance and repair (MRO) was seen by many as a “necessary evil,” an activity that cost money but provided nothing in return. Twenty or more years ago, maintenance workers were among the lowest-paid employees in full-service manufacturing plants, even though their jobs required the most technical skill, knowledge, and specialized training. Initially, repairs were carried out as necessary and when equipment broke down, but the more extensively the same type of equipment was used, the more data on failures could be collected. This made it possible to improve the maintenance syste

APA, Harvard, Vancouver, ISO, and other styles

15

Nechyporuk, Victor. "RESEARCH ON THE PARAMETERS AND CHARACTERISTICS OF ROAD EQUIPMENT FAILURES." Construction Engineering, no. 41 (February 4, 2025): 85–91. https://doi.org/10.32347/tb.2024-41.0410.

Full text

Abstract:

The parameters and characteristics of failures of road equipment for road construction are investi-gated. Attention is paid to the main types of distribution of equipment operation time to failure on the basis of exponential, Weibull, gamma, normal and logarithmically normal. Thus, the logarithmic normal distribution is used when the development of the process leading to failure can be represent-ed as the product of successive independent random variables (for example, crack growth). that the uptime and useful life of the technique depend on a large number of factors, some of which are be-yond

APA, Harvard, Vancouver, ISO, and other styles

16

Asbil, Mark R., Bernard Boland, Martin Dussault, et al. "Case Study: Developing an In-House Magnetic Resonance Imaging Maintenance Program." Biomedical Instrumentation & Technology 52, no. 3 (2018): 218–22. http://dx.doi.org/10.2345/0899-8205-52.3.218.

Full text

Abstract:

In 2015, the Children's Hospital of Eastern Ontario (CHEO) developed an in-house magnetic resonance imaging service team. Within two years, the team achieved substantial savings in operational costs, generated new revenue, improved uptime and response time, and improved customer satisfaction within the hospital. Through careful planning and collaboration, the Clinical Engineering Department at CHEO was able to bring imaging services in house successfully, demonstrating improvements over historical original equipment manufacturer performance thresholds.

APA, Harvard, Vancouver, ISO, and other styles

17

Martin, Ruth. "Transforming Temperature Control in UK Manufacturing." Manufacturing Management 2023, no. 9-10 (2023): 15. http://dx.doi.org/10.12968/s2514-9768(24)90008-1.

Full text

Abstract:

Amid squeezed capex budgets and supply chain challenges, many manufacturers are finding that their energy and temperature control equipment is becoming increasingly inefficient and unreliable with age. As a result, peaking demand and rising temperatures are proving more of a threat than ever to process uptime. Ruth Martin, Sector Sales Manager for Manufacturing at Aggreko, explores how hired solutions can help provide resilience, efficiency, productivity and flexibility during this period of uncertainty.

APA, Harvard, Vancouver, ISO, and other styles

18

Njukeng, Lionel Mufor. "Maximizing Uptime: Cost-Benefit Analysis and Strategic Implementation of Total Productive Maintenance (TPM) in Modern Industries." International Journal of Business Strategies 11, no. 2 (2025): 12–17. https://doi.org/10.47672/ijbs.2667.

Full text

Abstract:

Purpose: This study looks at both the visible and less obvious benefits of implementing TPM, exploring its impact on costs and operations in modern industrial supply chains. The scope of this work was done with, but not limited to Manufacturing companies, Food and Beverage companies, CPGs and similar large and small scale consumer-facing multinationals. While the tangible benefits of TPM such as reduced downtime, fewer breakdowns, and lower maintenance costs are well-known, the study also highlights important intangible gains. These include enhanced employee morale, reduced turnover, and stron

APA, Harvard, Vancouver, ISO, and other styles

19

AGOGINO, ALICE, PIERO BONISSONE, KAI GOEBEL, and GEORGE VACHTSEVANOS. "Special Issue: AI in equipment service." Artificial Intelligence for Engineering Design, Analysis and Manufacturing 15, no. 4 (2001): 265–66. http://dx.doi.org/10.1017/s0890060401154016.

Full text

Abstract:

This issue of AIEDAM focuses on AI in equipment service. Recently there has been a strong and renewed emphasis on AI technologies that can be used to monitor products and processes, detect incipient failures, identify possible faults (in various stages of development), determine preventive or corrective action, and generate a cost-efficient repair plan and monitor its execution. This renewed emphasis stems from a focus of manufacturing companies on the service market where they hope to grow their market share by offering their customers novel and aggressive service contracts. This service mark

APA, Harvard, Vancouver, ISO, and other styles

20

Morozova, T. S. "Impact of Raw Material Quality on Performance of Mixing and Charging Machines in Drilling and Blasting Operations." Mining Industry Journal (Gornay Promishlennost), no. 1/2021 (March 15, 2021): 69–73. http://dx.doi.org/10.30686/1609-9192-2021-1-69-73.

Full text

Abstract:

A study into the failure causes of mixing and charging equipment confirms that the main impact on the probability of accidents is the use of raw materials that do not meet the specifications and have unstable properties. The raw materials used for explosives preparation in mechanized charging of boreholes include such components as ammonium nitrate, emulsion phase, diesel fuel, emulsifier and others. The paper describes the application of various formulations with these components in specific types of mixing and charging machines manufactured by AZOTTECH LLC. The main properties that affect th

APA, Harvard, Vancouver, ISO, and other styles

21

Dazok Donald Jambol, Oludayo Olatoye Sofoluwe, Ayemere Ukato, and Obinna Joshua Ochulor. "Transforming equipment management in oil and gas with AI-Driven predictive maintenance." Computer Science & IT Research Journal 5, no. 5 (2024): 1090–112. http://dx.doi.org/10.51594/csitrj.v5i5.1117.

Full text

Abstract:

The oil and gas industry faces significant challenges in managing equipment maintenance due to the complexity and criticality of its assets. Traditional maintenance approaches are often reactive and inefficient, leading to costly downtime and safety risks. However, the emergence of artificial intelligence (AI) and predictive maintenance technologies offers a transformative solution to these challenges. This paper explores the role of AI-driven predictive maintenance in revolutionizing equipment management in the oil and gas sector. AI-driven predictive maintenance leverages machine learning al

APA, Harvard, Vancouver, ISO, and other styles

22

David, Chinalu Anaba, Odochi Agho Mercy, Cynthia Onukwulu Ekene, and Ifechukwude Egbumokei Peter. "A Predictive Maintenance Framework for Offshore Industrial Equipment: Digital Transformation for Enhanced Reliability." Engineering and Technology Journal 10, no. 01 (2025): 3666–76. https://doi.org/10.5281/zenodo.14762614.

Full text

Abstract:

This review presents a novel predictive maintenance framework designed to enhance the reliability of offshore industrial equipment by integrating artificial intelligence (AI), the Internet of Things (IoT), and 3D modeling. In offshore energy operations, maintaining equipment reliability is paramount due to the harsh environmental conditions and the critical nature of uninterrupted service. Traditional maintenance approaches, such as reactive or preventive methods, often fall short in addressing the complexity and unpredictability of offshore environments. The proposed framework leverages real-

APA, Harvard, Vancouver, ISO, and other styles

23

Cabral, Thiago Destri, Antonio Carlos Zimmermann, Daniel Pedro Willemann, and Armando Albertazzi Gonçalves, Jr. "Pipeline Bonded Joints Assembly and Operation Health Monitoring with Embedded FBG Sensors." Engineering Proceedings 2, no. 1 (2020): 5. http://dx.doi.org/10.3390/ecsa-7-08208.

Full text

Abstract:

Offshore oil and gas platforms present a harsh environment for their installed infrastructure, with pipelines that are subjected to both a corrosive atmosphere and transport of aggressive chemicals being the most critical. These conditions have prompted the industry to substitute metallic pipelines for composite counterparts, often made from fiber-reinforced plastics assembled with bonded joints. Various technologies have emerged in recent years to assess the health of these composite pipelines. In particular, robust speckle metrology techniques such as shearography, although not capable of lo

APA, Harvard, Vancouver, ISO, and other styles

24

Semenenko, O., M. Sliusarenko, A. Efimenko, O. Vodchits, and M. Polyvoda. "METHODICAL APPROACH TO PREDICTING THE PRODUCTIVITY OF REPAIR AND RESTORATION BODIES, TAKING INTO ACCOUNT THE DYNAMICS OF THE BATTLE FITTING." Collection of scientific works of Odesa Military Academy 1, no. 13 (2020): 223–31. http://dx.doi.org/10.37129/2313-7509.2020.13.1.223-231.

Full text

Abstract:

In the article, the authors provide a methodological approach to predicting the performance of repair and restoration bodies, taking into account the dynamics of the combat situation. Military equipment can fail for various reasons: due to limited technical reliability in peacetime, due to fire influence from the enemy in the conduct of hostilities, or the combined influence of both of these factors. Achieving the necessary reliability of equipment is even more complicated given the conditions of the combat situation (external factors) in which the equipment may be located. The authors propose

APA, Harvard, Vancouver, ISO, and other styles

25

Maksimenko, Yuriy Aleksandrovich, Sergei Drachevskii, and Natal'ya Drachevskaya. "Problems of uniform distribution of gas flow in gas drying absorbers when preparing gas for transportation." Vestnik of Astrakhan State Technical University 2020, no. 1 (2020): 31–37. http://dx.doi.org/10.24143/1812-9498-2020-1-31-37.

Full text

Abstract:

The article highlights the important factors of gas treatment. The dew point of commercial gas is one of the main normalized indicators, since the moisture content in commercial gas has a significant impact on the uptime of automatic equipment, on reducing corrosion of gas pipelines, process equipment and compressor stations during gas transportation. Adsorption drying of natural gas is a widely used method in the Russian gas industry. This method is characterized by the high level of environmental safety. Besides, the advantages of the method include the absence of the liquid phase and corros

APA, Harvard, Vancouver, ISO, and other styles

26

Febriansyah, Eki Hikmah, and Yusuf Latief. "Evaluation of Implementation of Maintenance Management System for Working Vessels of PT Timur Bahari to Improve Company Financial Performance." Journal of International Conference Proceedings 6, no. 7 (2023): 218–38. http://dx.doi.org/10.32535/jicp.v6i7.2828.

Full text

Abstract:

The working vessel is an important asset for marine contractors, including PT Timur Bahari. It plays important role as main equipment for marine constructions, crew accommodation, and marketing tools for the company. Recognizing the pivotal role of working vessel, any downtime would result in unproductive and reducing company’s revenue. On the other hand, uptime is expected to always be at the high level so that working vessels becomes vital to the company’s financial performance. The study utilizes survey methods, literature reviews, and case study. The conclusion of this study demonstrates t

APA, Harvard, Vancouver, ISO, and other styles

27

Vlasov, A. B., S. A. Buev, V. V. Kucherenko, and V. I. Urvantsev. "Analysis of the traction motor electrical parameters of the trolleybus." Vestnik MGTU 25, no. 4 (2022): 334–44. http://dx.doi.org/10.21443/1560-9278-2022-25-4-334-344.

Full text

Abstract:

The technical equipment of modern trolleybuses (increased power of traction motors, regenerative-rheostatic braking, anti-slip and anti-lock systems, an on-board computer for monitoring and controlling the operation of the traction drive, GLONASS satellite systems, Internet access) increases the requirements for the quality of electrical energy and the electromagnetic compatibility of the installed equipment. In the course of the study, the electrical performance of the trolleybus traction asynchronous motor (voltage, current, voltage sinusoidal shape, total coefficient of harmonic voltage com

APA, Harvard, Vancouver, ISO, and other styles

28

Sychenko, Viktor G., and Dmytro V. Mironov. "Development of a mathematical model of the generalized diagnostic indicato on the basis of full factorial experiment." Archives of Transport 43, no. 3 (2017): 125–33. http://dx.doi.org/10.5604/01.3001.0010.4230.

Full text

Abstract:

Purpose. The aim of this work is to develop a mathematical model of the generalized diagnostic indicator of the technical state of traction substations electrical equipment. Methodology. The main tenets of the experiment planning theory, methods of structural-functional and multi-factor analysis, methods of mathematical and numerical modeling have been used to solve the set tasks. Results. To obtain the mathematical model of the generalized diagnostic indicator, a full factorial experiment for DC circuit breaker have been conducted. The plan of the experiment and factors affecting the change o

APA, Harvard, Vancouver, ISO, and other styles

29

Gültekin, Özgür, Eyup Cinar, Kemal Özkan, and Ahmet Yazıcı. "Real-Time Fault Detection and Condition Monitoring for Industrial Autonomous Transfer Vehicles Utilizing Edge Artificial Intelligence." Sensors 22, no. 9 (2022): 3208. http://dx.doi.org/10.3390/s22093208.

Full text

Abstract:

Early fault detection and real-time condition monitoring systems have become quite significant for today’s modern industrial systems. In a high volume of manufacturing facilities, fleets of equipment are expected to operate uninterrupted for days or weeks. Any unplanned interruptions to equipment uptime could jeopardize manufacturers’ cycle time, capacity, and, most significantly, credibility for their customers. With the help of smart manufacturing technologies, companies have started to develop and integrate fault detection and classification systems where end-to-end constant monitoring of e

APA, Harvard, Vancouver, ISO, and other styles

30

Mentes, Ayhan, Ertuğrul Mollaahmetoğlu, and Hakan Akyildiz. "A bowtie model for fuel gas leakage incidents in an FPSO engine room." Pomorstvo 38, no. 1 (2024): 17–29. http://dx.doi.org/10.31217/p.38.1.2.

Full text

Abstract:

Safety and operational costs are of paramount importance in offshore facilities. Efforts to find new ways to reduce operational costs and minimize risks have led to the development of techniques in the field of safety. Routine checks and equipment maintenance are conducted based on either calendar periods or equipment uptime, using conditional monitoring, to prevent malfunctions through preventive maintenance (PM). PM is a key strategy for ensuring the integrity and process safety of safety barriers in offshore facilities. However, due to challenges in modeling dependencies, determining mainte

APA, Harvard, Vancouver, ISO, and other styles

31

Kamat, Pooja, and Rekha Sugandhi. "Anomaly Detection for Predictive Maintenance in Industry 4.0- A survey." E3S Web of Conferences 170 (2020): 02007. http://dx.doi.org/10.1051/e3sconf/202017002007.

Full text

Abstract:

Maintenance and reliability professionals in the manufacturing industry have the primary goal of improving asset availability. Poor and fewer maintenance strategies can result in lower productivity of machinery. At the same time unplanned downtimes due to frequent maintenance activities can lead to financial loss. This has put organizations’ thought process into a trade-off situation to choose between extending the remaining functional life of the equipment at the risk of taking machine down (run-to-failure) or attempting to improve uptime by carrying out early and periodic replacement of pote

APA, Harvard, Vancouver, ISO, and other styles

32

Weaver, John. "Laboratory Staff Evaluation Process." Journal of the IEST 56, no. 2 (2013): 68–75. http://dx.doi.org/10.17764/jiet.56.2.46512m9447t62x13.

Full text

Abstract:

Objectively evaluating laboratory staff is a very difficult task. Variations in supported equipment, student performance, and process sensitivity prevent the use of direct, objective criteria in employee performance measurement. These factors are multiplied in research facilities, where equipment uptime and process performance measurements are not easily determined. Supervisors, therefore, must apply more subjective techniques in staff evaluation, which often results in the perception of inequity. This paper presents a rigorous evaluation process that utilizes significant employee participatio

APA, Harvard, Vancouver, ISO, and other styles

33

Tirpak, Thomas M. "Developing and Deploying Electronics Assembly Line Optimization Tools: A Motorola Case Study." Decision Making in Manufacturing and Services 2, no. 2 (2008): 63–78. http://dx.doi.org/10.7494/dmms.2008.2.2.63.

Full text

Abstract:

The assignment of workloads to production equipment is one category of planning decision for an electronics assembly factory. In practice, line balancing requires not only selecting machines with sufficient placement accuracy and feeder capacity, but also address- ing a host of other operational objectives and constraints. Motorola Labs led a multi-year effort to apply mathematical programming to balance a variety of production mix and vol- ume scenarios. By representing the optimization problem as a specially structured, mixed linear-integer program, we were able to incorporate a high degree

APA, Harvard, Vancouver, ISO, and other styles

34

Suresh Kumar Sahani. "Performance and Assessment of Jaw Crusher in a Cement Manufacturing Plant." Communications on Applied Nonlinear Analysis 32, no. 3 (2025): 904–9. https://doi.org/10.52783/cana.v32.4855.

Full text

Abstract:

Jaw crushers are essential apparatus in cement production facilities, principally utilized for pulverizing raw materials such as limestone, clay, and other minerals. The dependability of jaw crushers strongly influences production efficiency and maintenance expenses. This research examines the repair and failure rates of jaw crushers in a cement factory, assessing prevalent failure types, their underlying causes, and maintenance solutions to enhance equipment uptime. Data was gathered from maintenance logs over a two-year duration, and statistical analysis was conducted to ascertain Mean Time

APA, Harvard, Vancouver, ISO, and other styles

35

Gutierrez, Eric, Padraig Richard Warde, Dianne Belfour-Barnett, Garth Matheson, Elaine Meertens, and Lisa Favell. "Development of a capital investment strategy for radiation (RT) equipment in Ontario." Journal of Clinical Oncology 31, no. 31_suppl (2013): 279. http://dx.doi.org/10.1200/jco.2013.31.31_suppl.279.

Full text

Abstract:

279 Background: To ensure appropriate access to radiation treatment (RT) for Ontario cancer patients for the next decade and that future capital investments in radiation equipment are appropriately timed and strategically placed, Cancer Care Ontario (CCO) has updated its RT Capital Investment Strategy. The strategy was designed around 4 core principles: i) recognizing treatment machine capacity should match the demand resulting from increasing cancer incidence rates and increasing utilization rates as per CCO goals; ii) keeping pace with advancing technology; iii) ensuring value for money by m

APA, Harvard, Vancouver, ISO, and other styles

36

Smith, Peter Mark. "Progressive cavity pump tubing drain valves: operator-savings illustration." APPEA Journal 60, no. 2 (2020): 677. http://dx.doi.org/10.1071/aj19023.

Full text

Abstract:

Three case studies show how three progressive cavity pump (PCP) operators used Zenith® (Baker Hughes) tubing drain valves to protect problematic PCPs from blockage and damage, reducing downtime and avoiding cost of backflush operations. The efficient solids management system incorporated in the Zenith PCP tubing drain valve (PCP-TDV) reliably safeguards pumping equipment from damage or blockage caused by descending solids when the pump is shut down, eliminating unplanned downtime and costly equipment replacement. Addressing the failings of alternative valves, the Zenith PCP-TDV effectively red

APA, Harvard, Vancouver, ISO, and other styles

37

Aminzadeh, Ahmad, Sasan Sattarpanah Karganroudi, Soheil Majidi, et al. "A Machine Learning Implementation to Predictive Maintenance and Monitoring of Industrial Compressors." Sensors 25, no. 4 (2025): 1006. https://doi.org/10.3390/s25041006.

Full text

Abstract:

Integrating machine learning algorithms leveraged by advanced data acquisition systems is emerging as a pivotal approach in predictive maintenance. This paper presents the deployment of such an integration on an industrial air compressor unit. This research combines updated concepts from the Internet of Things, machine learning, multi-sensor data collection, structured data mining, and cloud-based data analysis. To this end, temperature, pressure, and flow rate data were acquired from sensors in contact with the compressor. The observed data were sent to the Structured Query Language database.

APA, Harvard, Vancouver, ISO, and other styles

38

Prokopov, S. P., O. V. Myalo, V. V. Myalo, E. I. Maltseva, and E. V. Demchuk. "Increasing productivity of machine-tractor units depending on the influence of the load of the machine operator with maintenance work in the agricultural enterprises of the Omsk region." E3S Web of Conferences 392 (2023): 01043. http://dx.doi.org/10.1051/e3sconf/202339201043.

Full text

Abstract:

Increased productivity of machine-tractor units in the conditions of agricultural production is one of the most important and urgent tasks of the engineering and technical service of the agricultural sector. The greatest impact on machine reliability and performance indicators has a timely and good-quality maintenance. Fault tolerance is crucial to ensuring high machine productivity. The amount of maintenance work increases in proportion to the number of hours worked. Inadequate technical maintenance, leading to increased failure rates, reduced productivity and machine operating hours, and hig

APA, Harvard, Vancouver, ISO, and other styles

39

Gracheva, E.I., I.V. Ivshin, A.N. Gorlov, and A.N. Alimova. "Effect of Technical Parameters of Electric Low Voltage Devices of the Shop Power Supply Systems on their Reliability Characteristics." Problemele Energeticii Regionale 2(43) (August 13, 2019): 74–87. https://doi.org/10.5281/zenodo.3367062.

Full text

Abstract:

The article deals with an integrated approach to the study of the functioning efficiency of lowvoltage switching devices as elements of shop networks during their operation. Based on the results of experimental studies of the contact connections of devices using a thermal imaging equipment, a new criterion is offered for the estimation of the technical condition of devices, namely, the coefficient of actual multiplicity exceeding the contact resistance under operating conditions. Its calculated numerical values for circuit breakers, contactors, magnetic starters, knife switches and batch switc

APA, Harvard, Vancouver, ISO, and other styles

40

Paz-Triviño, Franklin, Robison Buitrago-Sierra, and Juan Felipe Santa Marín. "Wear resistance and hardness of nanostructured hardfacing coatings." DYNA 87, no. 214 (2020): 146–54. http://dx.doi.org/10.15446/dyna.v87n214.85683.

Full text

Abstract:

Abrasive wear is an important problema in industrial applications. The wear of tools in the mining industry is a costly issue, and it reduces equipment uptime. This study examined welded coatings obtained using a manual metal arc process with improved wear resistance. Their microstructure was studied by optical and electron microscopy. ASTM G99 (pin-on-disc) and ASTM G65 (dry sand/rubber wheel) wear tests were performed, and the worn surfaces were inspected to understand the wear mechanisms. The results show that the coating has a hypereutectic microstructure composed of austenite, NbC, and M7

APA, Harvard, Vancouver, ISO, and other styles

41

Mohapatra, Alma. "Generative AI for Predictive Maintenance: Predicting Equipment Failures and Optimizing Maintenance Schedules Using AI." International Journal of Scientific Research and Management (IJSRM) 12, no. 11 (2024): 1648–72. http://dx.doi.org/10.18535/ijsrm/v12i11.ec03.

Full text

Abstract:

Predictive maintenance has emerged as a transformative approach to managing equipment health, reducing unplanned downtime, and extending asset lifespan. Leveraging advancements in generative artificial intelligence (AI), this paper explores the role of AI-driven predictive maintenance in predicting equipment failures and optimizing maintenance schedules. Traditional maintenance strategies, such as reactive and preventive approaches, often lead to inefficiencies, increased operational costs, and unexpected breakdowns. Predictive maintenance, powered by AI, offers a proactive alternative that no

APA, Harvard, Vancouver, ISO, and other styles

42

Et. al., Santanu Purohit,. "Evaluation Of The Efficacy Of Iot Deployment On Petro-Retail Operations." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, no. 4 (2021): 356–63. http://dx.doi.org/10.17762/turcomat.v12i4.513.

Full text

Abstract:

After the Internet revolution, Internet of Things (IoT) is expected to be the next big technological change, connecting equipment as well as everyday objects to help businesses explore new ways of creating and delivering value. In the Oil & Gas industry context, IoT has been deployed extensively in the upstream sector and also to some extent in the mid-stream sector. However, it’s implementation in the downstream (retail) sector has been limited. This paper explores the applicability and impact of deploying an IoT solution at a fuel retail outlet. In our experiment, a live outlet was chose

APA, Harvard, Vancouver, ISO, and other styles

43

Chiu, Yuan-Shyi Peter, Singa Wang Chiu, Fan-Yun Pai, and Victoria Chiu. "Minimizing operating expenditures for a manufacturing system featuring quality reassurances, probabilistic failures, overtime, and outsourcing." International Journal of Industrial Engineering Computations 14, no. 1 (2023): 83–98. http://dx.doi.org/10.5267/j.ijiec.2022.10.001.

Full text

Abstract:

Production management operating in recent competitive marketplaces must satisfy the client desired quality and shorter order lead-time and avoid internal fabricating disruption caused by inevitable defects and stochastic equipment failures. Achieving these operational tasks without undesirable quality goods, missing due dates, and fabrication interruption help the management minimize operating expenditures. Motivated by assisting manufacturing firms in the situations mentioned this study explores a manufacturing system that features quality reassurances through reworking or removal of defectiv

APA, Harvard, Vancouver, ISO, and other styles

44

Oshiobugie, Austin, and Patrick Adeel. "Advancing Workforce Skills, Safety, and Stability in High-Risk Sectors: A Nigerian Perspective on Predictive Maintenance and Conflict Management." European Journal of Business and Innovation Research 13, no. 1 (2025): 1–18. https://doi.org/10.37745/ejbir.2013/vol13n1118.

Full text

Abstract:

This research article investigates the convergence of predictive maintenance (PdM) and conflict management strategies as fundamental components for enhancing workforce safety, operational stability, and productivity in high-risk industries, with a particular emphasis on Nigeria's energy sector. The Nigerian energy industry faces multifaceted challenges, including aging infrastructure, frequent equipment breakdowns, and limited financial resources for technological advancement. These challenges are compounded by workforce dynamics that are often complex, with cultural diversity and economic pre

APA, Harvard, Vancouver, ISO, and other styles

45

Chinemerem Cyril Iheanacho, Ebubechukwu Ozurumba, Nkemdi Amajoh, and Emeka Igwe. "Enhancing predictive maintenance in lean manufacturing for continuous process improvement using digital twin technology." World Journal of Advanced Research and Reviews 26, no. 3 (2025): 1533–45. https://doi.org/10.30574/wjarr.2025.26.3.2307.

Full text

Abstract:

The latest advancement in digital technologies has greatly revolutionized modern manufacturing processes, particularly through the adoption of Lean Manufacturing initiatives aimed at minimizing wastage and enhancing operational efficiency. Predictive Maintenance (PM) being one of the primary drivers of transformation in lean manufacturing by reducing equipment downtime and optimizing asset performance. The lack of failure data is one of the biggest obstacles to PM deployment because traditional maintenance methods are used to maintain equipment after they break down. In order to address the is

APA, Harvard, Vancouver, ISO, and other styles

46

Kustroń, Kamila, and Łukasz Cieślak. "The Optimization of Replacement Time for Non-Repairable Aircraft Component / Wyznaczanie Optymalnego Czasu Wymiany Nieodnawialnego Komponentu Samolotu." Journal of KONBiN 22, no. 1 (2012): 45–58. http://dx.doi.org/10.2478/jok-2013-0021.

Full text

Abstract:

Abstract This paper presents the procedure to be followed in order to determine the optimal time of non-repair component of the air operator's aircraft fleet. This problem is very important because of the losses that may occur as a result of too late the decision to replace and the damaged might occur during the operation of the airplane. On the other hand, the operator suffers losses because of too frequent replacements. These losses are generated by very early replacement of the efficient equipment and in addition generate excessive workload sharing on its assessment, the impact of human fac

APA, Harvard, Vancouver, ISO, and other styles

47

Ginting, Purnawarman, Frans Mangngi, Paula Rita, Ramzy George G. L. Sayonara, and Indradhi Lesmana. "Application of Internet of Things (IoT) Technology in Predictive Maintenance of Industrial Machines to Improve Operational Reliability." International Journal of Technology & Energy 1, no. 2 (2025): 42–52. https://doi.org/10.71364/ijte.v1i2.8.

Full text

Abstract:

The advancement of Industry 4.0 has spurred the integration of Internet of Things (IoT) technologies into predictive maintenance systems, particularly in industrial machinery management. Traditional maintenance models—reactive and time-based—have proven insufficient in addressing operational uncertainties and unexpected equipment failures. This study aims to explore how IoT applications in predictive maintenance can enhance the operational reliability of industrial machines. Utilizing a qualitative literature review method, the research synthesizes findings from 10 scholarly articles published

APA, Harvard, Vancouver, ISO, and other styles

48

Cecchini, Alessia, Grazia Maria Pia Masselli, and Sergio Silvestri. "Evaluation and optimization of CES performances: application of Pareto principle to KPIs." Global Clinical Engineering Journal 4, no. 1 (2021): 14–21. http://dx.doi.org/10.31354/globalce.v4i1.87.

Full text

Abstract:

In recent times the approach to health care has been mostly influenced by the growing number of biomedical equipment used in hospitals, which needs the presence of the Clinical Engineering Service (CES). The aim of this work is to suggest a methodology to improve the performance of a CES through the application of Pareto principle to main Key Performance Indicators (KPIs). The methodology is applied by focusing on the use of KPIs that represent a quantifiable measure of achieving goals set by an organization. In this study five KPIs are considered: Uptime, MTTR (mean time to repair), PPM

APA, Harvard, Vancouver, ISO, and other styles

49

Martinho, Rita, Jéssica Lopes, Diogo Jorge, Luís Caldas de Oliveira, Carlos Henriques, and Paulo Peças. "IoT Based Automatic Diagnosis for Continuous Improvement." Sustainability 14, no. 15 (2022): 9687. http://dx.doi.org/10.3390/su14159687.

Full text

Abstract:

This work responds to the gap in integrating the Internet-of-Things in Continuous Improvement processes, especially to facilitate diagnosis and problem-solving activities regarding manufacturing workstations. An innovative approach, named Automatic Detailed Diagnosis (ADD), is proposed: a non-intrusive, easy-to-install and use, low-cost and flexible system based on industrial Internet-of-Things platforms and devices. The ADD requirements and architecture were systematized from the Continuous Improvement knowledge field, and with the help of Lean Manufacturing professionals. The developed ADD c

APA, Harvard, Vancouver, ISO, and other styles

50

Nasyrov, R. R., R. Aljendy, and T. Kherbek. "Power quality assurance in the electrical network of the Syrian Arab Republic, using the active power filter." Power engineering: research, equipment, technology 22, no. 1 (2020): 18–27. http://dx.doi.org/10.30724/1998-9903-2020-22-1-18-27.

Full text

Abstract:

The set of characteristics that determine the power quality (PQ) can be used to describe the state and efficiency of the power supply system in terms of the influence of electromagnetic interference. The impact of electromagnetic interference on electrical equipment is manifested in the reduction of uptime, additional losses of active power, data loss, etc. The most common sources of interference in modern conditions are consumers with non-linear volt-ampere characteristics. This type of electrical receivers creates a distortion of the current and voltage waveform. In view of the widespread us

APA, Harvard, Vancouver, ISO, and other styles

We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!