Identifying Correlations Between Independent Sets of Maintenance and Manufacturing Quality Data

2008 ◽  
Author(s):  
Hany El-Gheriani ◽  
Martin Guay ◽  
Guillaume Graton ◽  
Jorge Arinez
Keyword(s):  
Manufacturing System ◽  
Independent Sets ◽  
Quality Data ◽  
Manufacturing Plant ◽  
Quality Model ◽  
High Quality ◽  
Equipment Reliability ◽  
Maintenance Decisions ◽  
The Impact ◽  
The Relationship

Effective equipment maintenance is essential for a manufacturing plant seeking to produce high quality products. The impact of equipment reliability and quality on throughput have been well established, however, the relationship between maintenance and quality is not always clear or direct. This paper describes a statistical modeling method that makes use of a Kalman filter to identify correlations between independent sets of maintenance and quality data. With such a method, maintenance efforts can be better prioritized to satisfy both production and quality requirements. In addition, this method is used to compare results from the theoretical maintenance-quality model to data from an actual manufacturing system. Results of the analysis indicate the potential for this method to be applied to preventive as well as reactive maintenance decisions since ageing aspects of equipment are also considered in the model.

The Impact of eBay Ratings and Item Descriptions on Auction Prices

2005 ◽  
pp. 149-165
Author(s):  
Mark P. Sena ◽  
C. Edward Heath ◽  
Michael A. Webb
Keyword(s):  
High Quality ◽  
Price Variation ◽  
Bidding Strategies ◽  
Quality Product ◽  
Retail Prices ◽  
Auction Prices ◽  
Bid Prices ◽  
The Impact ◽  
The Relationship ◽  
High Quality Product

Buyers on eBay commonly rely on seller feedback ratings to determine bidding strategies.  Various studies have examined the impact of eBay’s reputation system on auction outcomes.  This study builds on prior research by examining the relationship between seller ratings on auction prices for two distinct product types, DVDs and designer watches and by benchmarking the bid prices against retail prices. The results show that eBay ratings explain a greater degree of price variation in Designer Watches than in DVDs.  The study also suggests that high quality product listings with such features as digital images, formatted pages, and product details may result in higher bid prices.

An Environmentally Integrated Manufacturing Analysis Combined with Waste Management in a Car Battery Manufacturing Plant

2011 ◽  
pp. 436-461
Author(s):  
Suat Kasap ◽  
Sibel Uludag Demirer ◽  
Sedef Ergün
Keyword(s):  
Waste Management ◽  
Manufacturing System ◽  
System Analysis ◽  
Raw Materials ◽  
Hazardous Wastes ◽  
Manufacturing Plant ◽  
Integrated Manufacturing ◽  
High Productivity ◽  
Analysis Methodology ◽  
The Relationship

This chapter presents an environmentally integrated manufacturing system analysis for companies looking for the benefits of environmental management in achieving high productivity levels. When the relationship between environmental costs and manufacturing decisions is examined, it can be seen that the productivity of the company can be increased by using an environmentally integrated manufacturing system analysis methodology. Therefore, such a methodology is presented and the roadmap for generating environmentally friendly and economically favorable alternative waste management solutions is elaborated. The methodology combines data collection, operational analysis of the manufacturing processes, identification of wastes, and evaluation of waste reduction alternatives. The presented methodology is examined in a car battery manufacturing plant, which generates hazardous wastes composed of lead. It is aimed to decrease the wastes derived from the production so that the efficiency in raw materials usage is increased and the need for recycling the hazardous wastes is decreased.

Count Models to Represent the Impacts of Weather and Infrastructure on Flight Disruptions

2020 ◽  
Vol 2674 (5) ◽  
pp. 510-521
Author(s):  
Sabrena Jahan Ohi ◽  
Amy M. Kim
Keyword(s):  
Incomplete Data ◽  
Performance Metrics ◽  
Quantitative Model ◽  
Data Availability ◽  
Quality Data ◽  
High Quality ◽  
High Quality Data ◽  
Count Models ◽  
The World ◽  
The Relationship

This paper explores the application of count models to represent the relationship between flight disruptions and weather. Throughout the world, flights are regularly disrupted by delays at airports and in the terminal airspace, and less frequently by diversions and cancelations. Many delay studies have been conducted for large American and European airports, in part due to the availability of high-quality data. However, such high-quality data is not as readily available for other airports throughout the world. In this study, excess-zero count models are built using a publicly available dataset for Iqaluit Airport (YFB) in Northern Canada, to determine the influence of different weather components on disruption counts. Visibility and crosswind speeds are shown to have the largest influence on flight disruptions. The models are also applied using Aviation System Performance Metrics (ASPM) flight data for Anchorage Airport (ANC) in Alaska; the data is systematically degraded to match completeness of the Iqaluit data to test the models. The results verify that an excess-zero model using incomplete data yields results similar to that of a count model with complete data, demonstrating that an excess-zero model can overcome data incompleteness to yield acceptable results. Although count models have been applied extensively in the transportation literature, the authors believe this to be the first application to flight disruptions, and the first quantitative model of operations at a northern Canadian airport. This paper demonstrates that challenges in data availability—the case for most airports throughout the world—can be addressed with novel statistical modeling applications, and thus, delay studies can be conducted for almost any airport.

Integrated maintenance and production decision fork-out-of-nsystem equipment with attenuation of product quality

2019 ◽  
Vol 36 (5) ◽  
pp. 735-751 ◽  
Author(s):  
Shao Xiao ◽  
Zhixiang Chen ◽  
Bhaba R. Sarker
Keyword(s):  
Product Quality ◽  
Low Cost ◽  
Uncertain Demand ◽  
Quality Level ◽  
Equipment Maintenance ◽  
High Quality ◽  
Content Type ◽  
Equipment Reliability ◽  
The Impact ◽  
Production Decision

PurposeEquipment reliability significantly impacts productivity, and in order to obtain high equipment reliability and productivity, maintenance and production decision should be made simultaneously to keep manufacturing system healthy. The purpose of this paper is to investigate the joint optimization of equipment maintenance and production decision fork-out-of-nsystem equipment with attenuation of product quality and to explore the impact of maintenance on the production and cost control for manufacturers.Design/methodology/approachA multi-period Markov chain model fork-out-of-nsystem equipment is set up based on the assumption that the deterioration of equipment is a pure birth process. Then, the maintenance cost, setup cost, inventory holding cost, shortage cost, production cost and the quality cost are analyzed with the uncertain demand and the attenuation of product quality stemmed from equipment deterioration. The total lowest cost per unit time and its specific calculation method are presented. Finally, the robustness and flexibility of the method are verified by a numerical example and the effects of equipment deterioration intensity and attenuation of product quality are analyzed.FindingsThe result shows that the joint decision model could not only satisfy the uncertain demand with low cost and strong robustness but also make the output products high quality level. In addition, the attenuation of product quality would influence the equipment maintenance and production decision and leads to the production waste and increases the operation cost greatly.Originality/valueImplications derived from this study can help production maintenance managers and reliability engineers adequately select maintenance policy to improve the equipment efficiency and productivity with high quality level at a relatively low cost.

The Impact of Payment and Respondents’ Participation on Interviewers’ Accuracy in Face-to-face Surveys

Field Methods ◽  
2018 ◽  
Vol 30 (4) ◽  
pp. 295-311
Author(s):  
Natalja Menold ◽  
Uta Landrock ◽  
Peter Winker ◽  
Nathalie Pellner ◽  
Christoph J. Kemper
Keyword(s):  
Field Experiment ◽  
Survey Data ◽  
Task Difficulty ◽  
Quality Data ◽  
Cooperative Group ◽  
Willingness To Participate ◽  
High Quality ◽  
Face To Face ◽  
The Impact

In face-to-face interviews, accurate work by interviewers is crucial for ensuring high-quality survey data. In a field experiment, payment of interviewers, legitimation of falsification behavior, and respondents’ willingness to participate were experimentally varied. The impact of these factors on interviewers’ accuracy during fieldwork was investigated. Low accuracy was operationalized, for instance, as noncompliance with the instructions concerning contacting and recruitment. In addition, falsifications by interviewers were investigated. There were fewer deviations from prescribed routines, and interviewers’ work was of higher quality if the interviewers were paid per hour and when respondents belonged to the cooperative group, compared to break-offs. We conclude that high task difficulty may lead to a decrease of interviewers’ accuracy. Payment per hour seems to ensure higher-quality data and should be preferred.

scholarly journals A Streamlined Workflow for Conversion, Peer-Review and Publication of Omics Metadata as Omics Data Papers

2020 ◽  
Author(s):  
Mariya Dimitrova ◽  
Raïssa Meyer ◽  
Pier Luigi Buttigieg ◽  
Teodor Georgiev ◽  
Georgi Zhelezov ◽  
...  
Keyword(s):  
Peer Review ◽  
Open Data ◽  
Scientific Data ◽  
Quality Data ◽  
Data Publishing ◽  
Academic Publishing ◽  
Omics Data ◽  
High Quality ◽  
Data Interoperability ◽  
The Impact

Data papers have emerged as a powerful instrument for open data publishing, obtaining credit, and establishing priority for datasets generated in scientific experiments. Academic publishing improves data and metadata quality through peer-review and increases the impact of datasets by enhancing their visibility, accessibility, and re-usability. We aimed to establish a new type of article structure and template for omics studies: the omics data paper. To improve data interoperability and further incentivise researchers to publish high-quality data sets, we created a workflow for streamlined import of omics metadata directly into a data paper manuscript. An omics data paper template was designed by defining key article sections which encourage the description of omics datasets and methodologies. The workflow was based on REpresentational State Transfer services and Xpath to extract information from the European Nucleotide Archive, ArrayExpress and BioSamples databases, which follow community-agreed standards. The workflow for automatic import of standard-compliant metadata into an omics data paper manuscript facilitates the authoring process. It demonstrates the importance and potential of creating machine-readable and standard-compliant metadata. The omics data paper structure and workflow to import omics metadata improves the data publishing landscape by providing a novel mechanism for creating high-quality, enhanced metadata records, peer reviewing and publishing of these. It constitutes a powerful addition for distribution, visibility, reproducibility and re-usability of scientific data. We hope that streamlined metadata re-use for scholarly publishing encourages authors to improve the quality of their metadata to achieve a truly FAIR data world.

scholarly journals Longitudinal River Monitoring and Modelling Substantiate the Impact of Weirs on Nitrogen Dynamics

Water ◽  
2022 ◽  
Vol 14 (2) ◽  
pp. 189
Author(s):  
Geovanni Teran-Velasquez ◽  
Björn Helm ◽  
Peter Krebs
Keyword(s):  
Water Quality ◽  
Nitrogen Dynamics ◽  
Low Flow ◽  
Quality Data ◽  
Quality Model ◽  
Spatiotemporal Resolution ◽  
Water Quality Data ◽  
River Monitoring ◽  
The Impact

The fluvial nitrogen dynamics at locations around weirs are still rarely studied in detail. Eulerian data, often used by conventional river monitoring and modelling approaches, lags the spatial resolution for an unambiguous representation. With the aim to address this knowledge gap, the present study applies a coupled 1D hydrodynamic–water quality model to a 26.9 km stretch of an upland river. Tailored simulations were performed for river sections with water retention and free-flow conditions to quantify the weirs’ influences on nitrogen dynamics. The water quality data were sampled with Eulerian and Lagrangian strategies. Despite the limitations in terms of required spatial discretization and simulation time, refined model calibrations with high spatiotemporal resolution corroborated the high ammonification rates (0.015 d−1) on river sections without weirs and high nitrification rates (0.17 d−1 ammonium to nitrate, 0.78 d−1 nitrate to nitrite) on river sections with weirs. Additionally, using estimations of denitrification based on typical values for riverbed sediment as a reference, we could demonstrate that in our case study, weirs can improve denitrification substantially. The produced backwater lengths can induce a means of additional nitrogen removal of 0.2-ton d−1 (10.9%) during warm and low-flow periods.

scholarly journals Effect of Insulation on the Performance of a Rotary Bioreactor for Composting Agricultural Residues

Energies ◽  
2019 ◽  
Vol 12 (2) ◽  
pp. 315 ◽  
Author(s):  
Fahad Alkoaik ◽  
Ahmed Abdel-Ghany ◽  
Ibrahim Al-Helal ◽  
Mohamed Rashwan ◽  
Ronnel Fulleros ◽  
...  
Keyword(s):  
Heat Loss ◽  
Pilot Scale ◽  
Small Scale ◽  
Plant Residues ◽  
High Quality ◽  
Composting Process ◽  
Weed Seeds ◽  
Rotary Drum ◽  
The Impact ◽  
The Relationship

Rotary drum composters are used to produce high-quality, pathogen-free compost without weed seeds. Insulation is usually applied to small-scale composters to warm up the composted materials and enhance metabolic reactions to produce stable and mature compost within a short time. However, the relationship between the composter size and the heat loss rate is still unclear. In this study, the relationship between the composter size (designated as the ratio of surface area to volume, As/V) and heat loss was analyzed and identified. To show the effect of insulation on the composting performance, two identical rotary drum bioreactors (each of As/V = 9) were used to compost tomato plant residues, one insulated and the other kept without insulation. Results showed that insulation increased the overall resistance against heat loss from the bioreactor from 0.37 (m2 °C W−1) to 1.12 (m2 °C W−1), quickly increasing the compost temperature, and a temperature of 55–67 °C could be achieved and remained for three days. Therefore, mature, stable, well-aged, and high-quality compost was obtained. In the non-insulated bioreactor, the compost temperature did not exceed 37 °C; this caused a decline of microbial activity and the composting process temperature was only in the mesophilic range, leading to a high risk of the existence of weed seeds and pathogens in the final immature compost. Insulation is necessary for laboratory-scale and small pilot-scale bioreactors (As/V ≥ 6), because heat loss is high as As/V is high, whereas it is not necessary for commercial full-scale bioreactors (As/V ≤ 4), because heat loss is minor as As/V is low. For larger pilot-scale bioreactors (As/V: 4–6), insulation cost must be considered when comparing the impact of energy saving on the composting process.

Struggling with good intentions: Music education research in a “post” world

2021 ◽  
pp. 1321103X2110564
Author(s):  
Roger Mantie
Keyword(s):  
Education Research ◽  
Music Education ◽  
Symbolic Violence ◽  
High Quality ◽  
High Quality Research ◽  
Quality Research ◽  
Equity Research ◽  
Personal Challenges ◽  
The Impact ◽  
The Relationship

In this Perspectives article, the author grapples with the personal challenges of attempting to do ethical and high-quality research in the post world of the maturing 21st century. Among the challenges addressed are matters of purported relevance of research, equity research conducted by nonmembers of equity-seeking groups, the impact of rankings and metrics, peer review, and the relationship between good intentions and symbolic violence.

scholarly journals A Systematic Framework for Analyzing Observation Data in Patient-Centered Registries: Case Study for Patients With Depression (Preprint)

2020 ◽  
Author(s):  
Maryam Zolnoori ◽  
Mark D Williams ◽  
William B Leasure ◽  
Kurt B Angstman ◽  
Che Ngufor
Keyword(s):  
Data Quality ◽  
Quality Data ◽  
Patient Centered ◽  
High Quality ◽  
Data Set ◽  
High Quality Data ◽  
Research Questions ◽  
Quality Issues ◽  
The Impact ◽  
Systematic Framework

BACKGROUND Patient-centered registries are essential in population-based clinical care for patient identification and monitoring of outcomes. Although registry data may be used in real time for patient care, the same data may further be used for secondary analysis to assess disease burden, evaluation of disease management and health care services, and research. The design of a registry has major implications for the ability to effectively use these clinical data in research. OBJECTIVE This study aims to develop a systematic framework to address the data and methodological issues involved in analyzing data in clinically designed patient-centered registries. METHODS The systematic framework was composed of 3 major components: visualizing the multifaceted and heterogeneous patient-centered registries using a data flow diagram, assessing and managing data quality issues, and identifying patient cohorts for addressing specific research questions. RESULTS Using a clinical registry designed as a part of a collaborative care program for adults with depression at Mayo Clinic, we were able to demonstrate the impact of the proposed framework on data integrity. By following the data cleaning and refining procedures of the framework, we were able to generate high-quality data that were available for research questions about the coordination and management of depression in a primary care setting. We describe the steps involved in converting clinically collected data into a viable research data set using registry cohorts of depressed adults to assess the impact on high-cost service use. CONCLUSIONS The systematic framework discussed in this study sheds light on the existing inconsistency and data quality issues in patient-centered registries. This study provided a step-by-step procedure for addressing these challenges and for generating high-quality data for both quality improvement and research that may enhance care and outcomes for patients. INTERNATIONAL REGISTERED REPORT DERR1-10.2196/18366

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