scholarly journals Application of the US decision support tool for materials and waste management

2007 ◽  
Vol 27 (8) ◽  
pp. 1006-1020 ◽  
Author(s):  
Susan A. Thorneloe ◽  
Keith Weitz ◽  
Jenna Jambeck
Keyword(s):  
Decision Support ◽  
Waste Management ◽  
Decision Support Tool ◽  
Support Tool ◽  
The Us

scholarly journals Creation of a Clinical Decision-Support Tool for Assigning Occupational Disability to United States Air Force Personnel

2020 ◽  
Author(s):  
Maj Colby C. Uptegraft ◽  
Catherine T. Witkop
Keyword(s):  
Decision Support ◽  
Air Force ◽  
Decision Support Tool ◽  
Information Management System ◽  
Service Members ◽  
Diagnostic Code ◽  
Diagnostic Specificity ◽  
Support Tool ◽  
The Us ◽  
Morbid Conditions

AbstractOccupational dispositions (profiles) are the top reason active duty service members are not medically ready to deploy or fulfill their job responsibilities. An audit across multiple U.S. Air Force (AF) medical treatment facilities revealed significant shortcomings in how medical providers assign profiles. We aimed to create a predictive model and a decision-support tool that estimates profile duration.Using retrospective profiles (n=1,546,805) from the Aeromedical Services Information Management System between 1 Feb 2007 and 31 Jan 2017, we built and validated a decision-support tool that estimates profile length. Multivariate quantile regressions (n=2,575) were performed across five quantiles and six levels of diagnostic specificity for every diagnostic code with 2,100 or more observations.The models universally estimated profile duration with very poor accuracy (pseudoR2 0.000 to 0.168); however, predictive ability was directly correlated with quantile level with minimal variation by diagnostic specificity. Age, O4 to O6+ ranks, very heavy job class, and co-morbid conditions were all significant in more than 25.0% of regressions down all levels of diagnostic specificity. Age, co-morbid conditions, E7-E9 ranks, O4 to O6+ ranks, and light job class all added days to profile duration while E1 to E4 ranks, heavy, and very heavy job class subtracted days.While this study failed to produce an accurate tool, several findings, the indirect correlation between profile duration and very heavy job class and the assignment of durations based on convenient calendar times, warrant further investigation. For now, providers may consult existing decision-support tools when building profiles for AF service members, heeding attention that they were built with non-representative civilian populations.DisclaimerThe views expressed are solely those of the authors and do not reflect the official policy or position of the US Army, US Navy, US Air Force, the Department of Defense, or the US Government.

WASTE MANAGEMENT IN ROMANIA: CURRENT DATA AND APPLICATION OF A DECISION SUPPORT TOOL

2016 ◽  
Vol 15 (3) ◽  
pp. 511-519 ◽  
Author(s):  
Vassilis Inglezakis ◽  
Mihaela Ambarus ◽  
Nona Ardeleanu ◽  
Konstantinos Moustakas ◽  
Maria Loizidou
Keyword(s):  
Decision Support ◽  
Waste Management ◽  
Decision Support Tool ◽  
Current Data ◽  
Support Tool

scholarly journals SWIMS: A dynamic life cycle-based optimisation and decision support tool for solid waste management

2018 ◽  
Vol 196 ◽  
pp. 547-563 ◽  
Author(s):  
Keiron P. Roberts ◽  
David A. Turner ◽  
Jonathan Coello ◽  
Anne M. Stringfellow ◽  
Ibrahim A. Bello ◽  
...  
Keyword(s):  
Life Cycle ◽  
Decision Support ◽  
Waste Management ◽  
Solid Waste ◽  
Solid Waste Management ◽  
Decision Support Tool ◽  
Support Tool

scholarly journals Model of cost and price relationships for municipal waste management of the Czech Republic

2011 ◽  
Vol 59 (7) ◽  
pp. 371-378 ◽  
Author(s):  
Jana Soukopová ◽  
Jiří Hřebíček
Keyword(s):  
Czech Republic ◽  
Decision Support ◽  
Waste Management ◽  
Decision Support Tool ◽  
Municipal Waste ◽  
Economic Point ◽  
The Czech Republic ◽  
Support Tool ◽  
Municipal Waste Management ◽  
Price Relationships

Presented paper Model of cost and price relationships for municipal waste management of the Czech Republic introduces an integrated waste management model of the Czech Republic which was developed as a balanced network model for a set of sources (mostly municipalities) of municipal solid waste (MSW) connected with a set of chosen waste treatment facilities processing their waste. Model is implemented as a combination of four models including environmental and economic point of view. It enables to formulate the optimisation problem in a concise way and the resulting model is easily scalable. It can be used for waste management planning as a decision support tool. In this case, aggregated emissions of greenhouse gases expressed as CO2 equivalent have been minimised. Model involves composting energy utilization, material recycling, and landfilling. Its size (number of sources and facilities) depends only upon available data. Its application was used as a decision support tool in the case study of optimizing the planning allocation of potential facilities of waste management of the Czech Republic.

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