scholarly journals Changing Produce Marketing Barriers: A Comparison Among Three Southern States

2003 ◽  
Vol 35 (2) ◽  
pp. 297-304 ◽  
Author(s):  
David B. Eastwood ◽  
John R. Brooker ◽  
Charles R. Hall ◽  
Alice J. Rhea ◽  
Edmund A. Estes ◽  
...  
Keyword(s):  
Decision Making ◽  
North Carolina ◽  
Distribution System ◽  
Southern States ◽  
Export Activity ◽  
Postharvest Handling ◽  
Commercial Distribution

Produce growers in Kentucky, North Carolina, and Tennessee were surveyed in 2002 to gather information about their decision making in the areas of planting, postharvest handling, marketing, and expected changes. North Carolina has proportionately more respondents with large operations, and Kentucky and Tennessee were more similar and concentrated in smaller farms. Tennessee and Kentucky respondents were less likely to have engaged in activities that were associated with the commercial distribution system. Greater reliance on the commercial distribution system on the part of North Carolina growers is consistent with more produce export activity.

scholarly journals Evaluating Critical Factors Influencing the Reliability of Emergency Logistics Systems Using Multiple-Attribute Decision Making

Symmetry ◽  
2020 ◽  
Vol 12 (7) ◽  
pp. 1115 ◽  
Author(s):  
Peng Jiang ◽  
Yixin Wang ◽  
Chao Liu ◽  
Yi-Chung Hu ◽  
Jingci Xie
Keyword(s):  
Decision Making ◽  
Distribution System ◽  
Multiple Attribute Decision Making ◽  
Supply System ◽  
Critical Factors ◽  
Logistics System ◽  
Factors Influencing ◽  
Emergency Logistics ◽  
Multiple Attribute ◽  
Coordination System

The infectious disease COVID-19 has swept across the world in 2020, and it continues to cause massive losses of life and severe economic problems in all countries. Providing emergency supplies such as protective medical equipment and materials required to secure people’s livelihood is thus currently prioritized by governments. Establishing a reliable emergency logistics system is critical in this regard. This paper used the Delphi method to design a formal decision structure to assess emergency logistics system reliability (ELSR) by obtaining a consensus from a panel of experts. Assessing ELSR is a typical multiple-attribute decision making (MADM) problem, and the related MADM methods are usually on the basis of symmetry principles. A hybrid MADM model, called the Decision Making Trial and Evaluation Laboratory (DEMATEL)-based Analytical Network Process (D-ANP), was developed to identify the critical factors influencing ELSR. An analysis of empirical evidence showed that the emergency logistics command and coordination system and the emergency material supply system play important roles in ELSR, while the emergency logistics transportation and distribution system and the emergency information system are not so important. This conclusion is different from previous research about traditional disaster emergency logistics. Moreover, the cause–effect relationships among the key factors indicated that the system of command and coordination for emergency logistics and the supply system for emergency materials should be improved. Accordingly, effective suggestions for emergency logistics services for epidemic prevention are provided in this paper. The main contributions of this paper are (1) establishing a comprehensive and systematic evaluating index of ELSR for epidemic prevention; (2) employing a kind of structured, namely D-ANP, to identify the critical factors with non-commensurable and conflicting (competing) characteristics; and (3) comparing the differences of reliable criteria between the emergency logistics of epidemic prevention and the traditional disaster emergency logistics.

Associations between patient knowledge of others' experiences and treatment choice in men with localized prostate cancer.

2021 ◽  
Vol 39 (15_suppl) ◽  
pp. 6578-6578
Author(s):  
Aaron J. Katz ◽  
Ying Cao ◽  
Xinglei Shen ◽  
Deborah Usinger ◽  
Sarah Walden ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Decision Making ◽  
North Carolina ◽  
Cancer Patients ◽  
Treatment Options ◽  
Population Based ◽  
Treatment Choice ◽  
Localized Prostate Cancer ◽  
The North ◽  
Patient Reported

6578 Background: Men with localized prostate cancer must select from multiple treatment options, without one clear best choice. Consequently, personal factors, such as knowing other prostate cancer patients who have undergone treatment, may influence patient decision-making. However, associations between knowledge about others’ experiences and treatment decision-making among localized prostate cancer patients has not been well characterized. We used data from a population-based cohort of localized prostate cancer patients to examine whether patient-reported knowledge of others’ experiences is associated with treatment choice. Methods: The North Carolina Prostate Cancer Comparative Effectiveness & Survivorship Study (NC ProCESS) is a population-based cohort of localized prostate cancer patients enrolled from 2011-2013 throughout the state of North Carolina in collaboration with the North Carolina Central Cancer Registry. All patients were enrolled prior to treatment and followed prospectively. Patient decision-making factors including knowledge of others’ experiences with prostate cancer treatment options were collected through patient report. Patient treatment choice was determined through medical record abstraction and cancer registry data. Results: Among 1,202 patients, 17% reported knowing someone who pursued active surveillance (AS) while 28%, 46%, and 59% reported knowing someone who received brachytherapy, external beam radiation (EBRT), or radical prostatectomy (RP), respectively; 26% underwent AS, 9% brachytherapy, 21% EBRT, and 39% RP as their initial treatment. In unadjusted analyses, patients with knowledge of others’ experiences with brachytherapy, EBRT or RP had more than twice the odds of receiving that treatment compared to patients who did not. Knowledge of others’ experience with AS was not associated with choice to undergo AS. Multivariable analysis adjusting for age, race, risk group, and patient-reported goals of care showed knowledge of others’ experiences with brachytherapy (OR 4.60, 95% confidence interval [CI] 2.76 to 7.68), EBRT (OR 2.38, 95% CI 1.69 to 3.34), or RP (OR 4.02, 95% CI 2.84 to 5.70) was significantly associated with odds of receiving that treatment. The odds of receiving a particular treatment option were further increased among patients who reported knowing someone who had a “good” experience with the treatment in question. Conclusions: This is the first population-based study to directly demonstrate the impact of a patient’s knowledge of others’ experiences on treatment choice in prostate cancer. These data provide a new consideration to clinicians in their counseling of patients with newly diagnosed prostate cancer, and also impacts research into the informed decision-making process for this disease.

Distribution of Food in a Specialized Hospital Using Ambient Intelligence to Improve a Model of Macroergonomics

2019 ◽  
pp. 231-241
Author(s):  
Alberto Ochoa Zezzatti ◽  
Juan Luis Hernandez Arellano ◽  
Gilberto Rivera ◽  
Daniel Azpeitia ◽  
Luis Fernando Maldonado
Keyword(s):  
Decision Making ◽  
Latin American ◽  
Distribution System ◽  
Ambient Intelligence ◽  
Food Distribution ◽  
Food And Agriculture ◽  
Food And Agriculture Organization ◽  
Specialized Hospital ◽  
United Nations Food ◽  
Latin American Countries

SIDA (Intelligent Food Distribution System, for its acronym in Spanish) is a proposed tool for the distribution of food that can be personalized depending on the medical characteristics of each patient. The target of the tool is to provide foods that contain higher nutrients in the diet set by a hospital. A model of decision trees was based on data from the organization of the United Nations Food and Agriculture Organization (FAO) and used for decision making in the simulated three basic foods based on the diet of Latin American countries typically integrated by rice, potatoes, and lentils from the parameters of fat, energy, and protein, respectively, that contains every type of food.

scholarly journals Hybrid Hesitant Fuzzy Multi-Criteria Decision Making Method: A Symmetric Analysis of the Selection of the Best Water Distribution System

Symmetry ◽  
2020 ◽  
Vol 12 (12) ◽  
pp. 2096
Author(s):  
Samayan Narayanamoorthy ◽  
Veerappan Annapoorani ◽  
Samayan Kalaiselvan ◽  
Daekook Kang
Keyword(s):  
Decision Making ◽  
Drinking Water ◽  
Standard Deviation ◽  
Water Supply ◽  
Distribution System ◽  
Water Distribution ◽  
Agricultural Land ◽  
Water Distribution System ◽  
Multi Criteria Decision Making ◽  
Water Project

Every country’s influence and livelihood is centered on that country’s water source. Therefore, many studies are being conducted worldwide to improve and sustain water resources. In this research paper, we have selected and researched the water scheme for groundwater recharge and drinking water supply of drought prone areas. The water project is aimed at connecting the drought prone areas of the three districts of Tamil Nadu to filling up the ponds in their respective villages and raising the ground water level and meeting the drinking water requirement. We have chosen a multi-criteria decision method to select the best alternative in a complex situation. When reviewing the implementation of this water project, many experts and people who will benefit from this project may have some hesitation and ambiguity in their suggestion on choosing the best water distribution system.We believe that the benefits of this project can be fully availed of if we choose a water distribution system. Our contribution in this article is to choose the best water distribution system for this project by use of our proposed multi-criteria decision making (MCDM) methods, hesitant fuzzy standard deviation with multi-objective optimization method by ratio analysis (HFSDV-MOORA), hesitant fuzzy standard deviation with technique, for order preference by similarity to an ideal solution (HFSDV-TOPSIS) and hesitant fuzzy standard deviation with VIsekriterijumsko Kompromisno Rangiranje (HFSDV-VIKOR), which will provide the best solution for improving the water resource for the drought-prone areas of three districts. Finally, we have identified and compared the correlation coefficient between proposed methods. As a result of the study, it has been found that the best water supply system is closed concrete pipes laid along agricultural land through the rural areas.

The Involvement of Judicial Officials other than Judges in Decision Making in Involuntary Civil Commitment

1982 ◽  
Vol 10 (4) ◽  
pp. 491-501
Author(s):  
Robert D. Miller
Keyword(s):  
Mental Health ◽  
Decision Making ◽  
North Carolina ◽  
Catchment Area ◽  
Present System ◽  
Involuntary Hospitalization ◽  
Education Experience ◽  
System Calls ◽  
Initial Hospitalization ◽  
Insufficient Knowledge

In nine states, judicial personnel other than judges authorize involuntary hospitalization; the author studied the system in North Carolina by soliciting responses from all magistrates, clerks of court, and clinicians in one state hospital's 16-county catchment area. Magistrates and clerks vary widely in education, experience, knowledge of commitment, and actual practices. Clinicians were dissatisfied with the actions of magistrates; and many magistrates were dissatisfied with clinical input, although most magistrates would prefer such input prior to issuing custody orders. Magistrates would like more information, both clinical and legal, about commitment. The present system calls upon magistrates to make major decisions with insufficient knowledge and experience in mental health; initial hospitalization decisions would better be left with clinicians, as they are in many other states.

The Marketing of Legal Services

1981 ◽  
Vol 45 (2) ◽  
pp. 123-134 ◽  
Author(s):  
Donna K. Darden ◽  
William R. Darden ◽  
G. E. Kiser
Keyword(s):  
Decision Making ◽  
Life Cycle ◽  
Distribution System ◽  
Market Analysis ◽  
Legal Services ◽  
Marketing Analysis ◽  
Delivery Of Services

This article takes a marketing analysis perspective of the distribution of legal services. A study of the demographic, personal, and life cycle characteristics of users and nonusers of legal services reveals that users are still primarily those with money and prestige. Some difference is found in the ways the two groups perceive important characteristics of lawyers for decision making purposes and in their perceptions of what potential legal needs are the most important. The problem of unevenness in the distribution system is seen as a marketing one. Suggestions as to how the delivery of services can be improved to present nonusers are made, based on market analysis.

scholarly journals A stochastic MPEC approach for grid tariff design with demand-side flexibility

2020 ◽  
Author(s):  
Magnus Askeland ◽  
Thorsten Burandt ◽  
Steven A. Gabriel
Keyword(s):  
Decision Making ◽  
Power System ◽  
Distribution System ◽  
End Users ◽  
Branch And Cut ◽  
Mixed Integer ◽  
Electricity Grid ◽  
Decentralized Decision Making ◽  
System Operator ◽  
Aggregate Network

Abstract As the end-users increasingly can provide flexibility to the power system, it is important to consider how this flexibility can be activated as a resource for the grid. Electricity network tariffs is one option that can be used to activate this flexibility. Therefore, by designing efficient grid tariffs, it might be possible to reduce the total costs in the power system by incentivizing a change in consumption patterns. This paper provides a methodology for optimal grid tariff design under decentralized decision-making and uncertainty in demand, power prices, and renewable generation. A bilevel model is formulated to adequately describe the interaction between the end-users and a distribution system operator. In addition, a centralized decision-making model is provided for benchmarking purposes. The bilevel model is reformulated as a mixed-integer linear problem solvable by branch-and-cut techniques. Results based on both deterministic and stochastic settings are presented and discussed. The findings suggest how electricity grid tariffs should be designed to provide an efficient price signal for reducing aggregate network peaks.

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