scholarly journals Decision Support Tool for Operational Planning of Field Operations

Agronomy ◽  
2020 ◽  
Vol 10 (2) ◽  
pp. 229 ◽  
Author(s):  
René Søndergaard Nilsson ◽  
Kun Zhou
Keyword(s):  
Decision Support ◽  
Planning Process ◽  
Decision Support Tool ◽  
Operational Planning ◽  
Crop Season ◽  
Support Tool ◽  
Crop Cycle ◽  
The Individual ◽  
Vehicle Capacity ◽  
Alternative Solutions

Precision Farming (PF) and Controlled Traffic Farming (CTF) are well known concepts within agriculture, but the adoption rate of these practices by farmers is still very low, because farmers lack the needed skills or fail to see the benefits of using these practices. If farmers want to reap the full benefits, operational planning must be carried out in advance for the entire crop cycle, before the crop season begins. However, operational planning across the entire crop cycle is a non-trivial task, since the efficiency of each operation is determined by a range of selected operational features (e.g., wayline direction, operational speed, vehicle capacity, wayline sequence, and turn type). To that end, we present, in this paper, an application that can support farmers with operational planning of field operations with CTF, by automating the process. It provides the farmer with an overview of all his field operations, and acts as a decision support tool during the operational planning process. The application allows farmers to store and manage field and equipment information, which is used as input, when setting up CTF and generating way lines and route plans for the individual fields. One of the key benefits of the application is the provided comparison feature, where farmers can compare alternative solutions, based on Key Performance Indicators (KPIs). Results from an example field, for operations with different machine setups, are presented to illustrate how KPIs and visualisations can support farmers during the decision process.

Challenges Contributing to the General Aviation Weather Problem & Decision Support Systems Technology Recommendations

2018 ◽  
Vol 62 (1) ◽  
pp. 1771-1775 ◽  
Author(s):  
Jayde King ◽  
Yolanda Ortiz ◽  
Beth Blickensderfer ◽  
Emalee Christy
Keyword(s):  
Decision Support ◽  
Planning Process ◽  
New Technology ◽  
Decision Support Tool ◽  
Meteorological Conditions ◽  
General Aviation ◽  
Support Tool ◽  
Instrument Meteorological Conditions ◽  
Decision Making Biases ◽  
Aviation Weather

General Aviation (GA) weather related accidents have steadily remained the most fatal accidents and incidents in the GA flight community. The majority of these accidents involve low-experienced Visual Flight Rule (VFR) pilots, inadvertently encountering Instrument Meteorological Conditions (IMC). Previous research indicates, poor inflight weather avoidance could stem from insufficient preflight weather planning. Further investigation reveals, pilots’ face many challenges during the preflight planning process, including: poor weather product interpretation/ usability, decision making biases and errors, and inadequate aviation weather experience. However, with new technology on the rise, a preflight decision support tool may help guide novice pilots through the preflight process successfully. This paper will discuss the challenges novice pilots encounter during the preflight process and offer recommendations for applying a preflight decision support tool as a solution.

scholarly journals Multicriteria Decision Support Would Avoid Overdiagnosis and Overtreatment

2020 ◽  
Author(s):  
Vije Kumar Rajput ◽  
Jack Dowie ◽  
Mette Kjer Kaltoft
Keyword(s):  
Decision Support ◽  
Decision Aids ◽  
Population Level ◽  
Decision Support Tool ◽  
Support Tool ◽  
Multicriteria Decision ◽  
Asymptomatic Individuals ◽  
The Individual ◽  
Multicriteria Decision Support ◽  
Sensitive Individual

Population-level studies confirm the existence of significant rates of overdiagnosis and overtreatment in a number of conditions, particularly those for which the screening of asymptomatic individuals is routine. The implication is that the possibility of being overdiagnosed and/or overtreated must be mentioned as a possible harm in generating informed consent and participation from the individual invited to be screened. But how should the rates of such preference-insensitive population-level phenomena be introduced into preference-sensitive individual decision making? Three possible strategies are rejected, including the currently dominant one that involves presenting the rates relevant to overdiagnosis and overtreatment as discrete pieces of information about a single criterion (typically condition-specific mortality). Extensive quotation from a review of cancer decision aids confirms that processing this complex and isolated information is not a practical approach. However, the task is unnecessary, since an outcome-focused multicriteria decision support tool will incorporate the effects of overdiagnosis and overtreatment – along with the effects of any underdiagnosis and undertreatment.

scholarly journals A decision support tool for operational planning: a Digital Twin using simulation and forecasting methods

Production ◽  
2020 ◽  
Vol 30 ◽  
Author(s):  
Carlos Henrique dos Santos ◽  
Renan Delgado Camurça Lima ◽  
Fabiano Leal ◽  
José Antonio de Queiroz ◽  
Pedro Paulo Balestrassi ◽  
...  
Keyword(s):  
Decision Support ◽  
Decision Support Tool ◽  
Operational Planning ◽  
Support Tool ◽  
Digital Twin ◽  
Forecasting Methods

Long-Term Care Counselor: An Electronic Decision-Support Tool

2004 ◽  
Vol 5 (3) ◽  
pp. 139-144 ◽  
Author(s):  
Susan Polniaszek ◽  
Christopher Klinger
Keyword(s):  
Decision Support ◽  
Health Care Professionals ◽  
Long Term Care ◽  
Population Aging ◽  
Decision Support Tool ◽  
National Council ◽  
Term Care ◽  
Support Tool ◽  
The Individual

With the American population aging at a steady pace, the need to help individuals, families, and aging/health care professionals in making often-difficult long-term care decisions is increasing. Finding accurate, impartial information is also critically important, especially information that is personalized to the individual rather than for the general public. The Long-Term Care Counselor (LTCC) is a free and confidential, web-based, decision-support tool developed by The National Council on the Aging (NCOA) to meet this particular need. It is part of the Centers for Medicare and Medicaid Service’s (CMS) long-term care information initiative and is found via the official Medicare website at http://www.medicare.gov/longtermcare/static/ltccounselor.asp. The LTCC helps individuals, caregivers, and professionals to find information relevant to particular circumstances based on the age, health, level of activity, finances, or personal preferences of the person.

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