An uncertainty-based comprehensive decision support system for site-specific crop management

2017 ◽  
Vol 8 (2) ◽  
pp. 625-629 ◽  
Author(s):  
V. Adamchuk ◽  
R. Lacroix ◽  
S. Shinde ◽  
N. Tremblay ◽  
H. Huang

This paper presents a framework for the implementation of a decision support system that considers spatial, temporal and managerial factors in assessing the potential impact of crop amendments on the cost of a given production scenario. The proposed system includes a database and a numeric simulation model. The database is linked to previously recorded crop responses for a given agricultural input under different conditions while the numeric simulation model determines the probability of different levels of profit for each decision option. This system then determines the optimal uniform rate of application of an amendment to maximize profits, or to define the range of such rates for a case of variable rate application. Uncertainty-based treatment of each model input allows for a balance between the potential results of under-application or over-application.

Fuzzy Systems ◽  
2017 ◽  
pp. 1620-1642
Author(s):  
Vjekoslav Bobar ◽  
Ksenija Mandic ◽  
Milija Suknovic

Bidder selection in public procurement is a decision making problem whose primary purpose is to achieve the cost effectiveness and efficiency in the expenditure of public money. This principle is also known as the principle of “value for money”. This selection is based on many alternatives and many quantitative and qualitative criteria where qualitative criteria are often expressed as linguistic uncertain variables. The theory of fuzzy sets is a tool suitable to model uncertainty when applied to a variety of problems in real life. However, many fuzzy methods require complex calculation and they are not appropriate for using in public procurement because they slow down this process. In this paper, in order to make a quick decision in public procurement, a Decision Support System based on the fuzzy extent analysis method is developed. In order to demonstrate the usefulness of this system, a real-life case scenario of public procurement is presented.


2015 ◽  
Vol 7 (1) ◽  
pp. 31-49 ◽  
Author(s):  
Vjekoslav Bobar ◽  
Ksenija Mandic ◽  
Milija Suknovic

Bidder selection in public procurement is a decision making problem whose primary purpose is to achieve the cost effectiveness and efficiency in the expenditure of public money. This principle is also known as the principle of “value for money”. This selection is based on many alternatives and many quantitative and qualitative criteria where qualitative criteria are often expressed as linguistic uncertain variables. The theory of fuzzy sets is a tool suitable to model uncertainty when applied to a variety of problems in real life. However, many fuzzy methods require complex calculation and they are not appropriate for using in public procurement because they slow down this process. In this paper, in order to make a quick decision in public procurement, a Decision Support System based on the fuzzy extent analysis method is developed. In order to demonstrate the usefulness of this system, a real-life case scenario of public procurement is presented.


2021 ◽  
Vol 5 (01) ◽  
pp. 12-22
Author(s):  
Rayinda Pramuditya Soesanto ◽  
Afrin Fauzya Rizana

Wedding organizers, as one of the creative industries, often participate in a trade show as one of the marketing mediums. Many wedding-related trades show events are held every year. But the cost to participate in one trade show event is quite expensive and increases from time to time. Thus, before deciding to participate in a trade show, it is important to evaluate whether the trade show events are recommended to join or not. The purpose of this study is to design a decision support system that will help the wedding organizer to decide their participation in a trade show. The decision model was constructed using AHP and TOPSIS methods. There are seven factors considered in the model, i.e., tradeshow location, reputation and professionalism of the organizer, cost estimation, trade show prestige, tenant reputation, time of the event, the attractiveness of the event. By using the AHP method, the priority weight of each factor was calculated. Moreover, the weight obtained will be used in developing a decision model combined with the TOPSIS method. The decision support system was developed afterward by using the SCRUM method. The feature of the system is discussed in the paper.


Author(s):  
Maulida Purba ◽  
Marsono Marsono ◽  
Rina Mahyuni

BPJS Health is one of the most important services for the community. For people who are sick and have been registered in BPJS, then the cost of treatment will be borne by the BPJS and the community is what is said as Patient BPJS. However, if a patient BPJS experiencing pain, then the patient first went to the health center or Faskes level 1 before being referred to the Hospital. Therefore, this study aims to build decision support system that has the ability to analyze in determining referral hospital for Patient BPJS at puskesmas or Faskes level 1. The method used in this research is Weighted Sum Model (WSM). The hospital samples used as many as 10 obtained from UPT Puskesmas Padang Bulan, Jln. Jamin Ginting - Medan. Based on calculations performed obtained the highest value of 77.5, ie on RS3. Therefore, this hospital is the foremost hospital as a reference for Patients BPJS. This research is expected to help the Puskesmas or Faskes level I in the city of Medan in providing hospital referrals for patients BPJS.


DYNA ◽  
2016 ◽  
Vol 83 (198) ◽  
pp. 180 ◽  
Author(s):  
Claudia Cristina Bocanegra-Herrera ◽  
Carlos Julio Vidal-Holguín

Esta investigación presenta un modelo de simulación de eventos discretos del sistema de abastecimiento de caña como sistema de soporte a las decisiones para los administradores en los ingenios azucareros. Comprende las operaciones de cosecha, transporte y descarga de la caña en el patio del ingenio, además tiene en cuenta ventanas de tiempo, la incertidumbre inherente del sistema y considera las colas de todas las operaciones. El modelo fue implementado en C++ utilizando el entorno de desarrollo Qt Creator para generar una interfaz gráfica. Se encontró que el 50% del tiempo las tractomulas se encuentran en espera, además se evaluó el impacto de los paros de molienda en la cantidad de caña descargada. Otros ambientes fueron también evaluados: época lluviosa, cosecha en campos lejanos y una configuración alternativa en la zona de descarga de caña que mejora la eficiencia del proceso.


2018 ◽  
Vol 1 (1) ◽  
pp. 1-11
Author(s):  
Anita Anita ◽  
Nana Suarna

The existence of the internet today provides benefits directly or indirectly to the business world, education, community and more, from small to large scale. With the internet facility data can be stored, retrieved and sent easily to all directions. So can not be denied the existence of internet website becomes the main requirement in providing the fastest information in globalization today. In the creditworthiness assessment conducted by PT. BFI Finance Indonesia Cirebon is still experiencing difficulties. The presentation of credit lending information is often delayed. One form of utilization of this facility is by making Decision Support System Online Loan Disbursement Using The Satisficing Model. This system will be used to analyze the personality and income of a person who will perform vehicle loans. By using this analytical method is expected to generate and simplify the process of acceptance of creditor candidates in accordance with the expected criteria so as to streamline the cost and time.


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