scholarly journals A Decision Support System for Sustainable Agriculture: The Case Study of Coconut Oil Extraction Process

Agronomy ◽  
2022 ◽  
Vol 12 (1) ◽  
pp. 177
Author(s):  
Gianfranco Gagliardi ◽  
Antonio Igor Maria Cosma ◽  
Francesco Marasco

The high demand of information and communication technology (ICT) in agriculture applications has led to the introduction of the concept of smart farming. In this respect, moving from the main features of the Fourth Industrial Revolution (Industry 4.0) promoted by the European Community, new approaches have been suggested and adopted in agriculture, giving rise to the so-called Agriculture 4.0. Improvements in automation, advanced information systems and Internet technologies allow for farmers to increase the productivity and to allocate the resources reasonably. For these reasons, agricultural decision support systems (DSS) for Agriculture 4.0 have become a very interesting research topic. DSS are interactive tools that enable users to make informed decisions about unstructured problems, and can be either fully computerized, human or a combination of both. In general, a DSS analyzes and synthesizes large amounts of data to assist in decision making. This paper presents an innovative decision support system solution to address the issues faced by coconut oil producers in making strategic decisions, particularly in the comparison of different methods of oil extraction. In more detail, the adopted methodology describes how to address the problems of coconut oil extraction in order to minimize the processing time and processing cost and to obtain energy savings. To this end, the coconut oil extraction process of the Leão São Tomé and Principe Company is presented as a case study: a DSS instance that analyzes the problem of the optimal selection between two different oil coconut extraction methods (fermentation-based and standard extraction processes) is developed as a meta-heuristics with a mixed integer linear programming problem. The obtained results show that there is clearly a trade-off between the increase in cost and reliability that the decision-maker may be willing to evaluate. In this respect, the proposed model provides a tool to support the decision-maker in choosing the best combination between the two different coconut oil extraction methods. The proposed DSS has been tested in a real application context through an experimental campaign.

2021 ◽  
Author(s):  
Chawis Boonmee ◽  
Nirand Pisutha-Arnond ◽  
Wichai Chattinnawat ◽  
Pooriwat Muangwong ◽  
Wannapha Nobnop ◽  
...  

2017 ◽  
Vol 20 (1) ◽  
pp. 19-22
Author(s):  
Róbert Galamboš ◽  
Jana Galambošová ◽  
Vladimír Rataj ◽  
Miroslav Kavka

Abstract Presented paper deals with the topic of preventive maintenance. A decision support system was designed, incorporating historical as well as forecast information to calculate the time remaining to preventive maintenance. The designed system optimizes maintenance costs without any further investment and running costs. An algorithm of the designed system is introduced and a case study of its implementation is described in the paper.


Author(s):  
Yue-Ping Xu ◽  
Martijn J. Booij

This paper describes validation of an appropriateness framework, which has been developed in a former study, to determine appropriate models under uncertainty in a decision support system for river basin management. Models are regarded as ‘appropriate’ if they produce final outputs within adequate uncertainty bands that enable decision-makers to distinguish or rank different river engineering measures. The appropriateness framework has been designed as a tool to stimulate the use of models in decision-making under uncertainty and to strengthen the communication between modelers and decision-makers. Through the application to a different river with different objectives in this validation study from the river used in the development stage, this paper investigates whether the appropriateness framework works in a different situation than it was designed for. Recommendations from the development stage are taken into account in this validation case study as well. The final results from the study showed a successful validation of the appropriateness framework and suggested further possibilities for the application in decision support systems for river basin management.


2011 ◽  
Vol 02 (03) ◽  
pp. 195-203 ◽  
Author(s):  
Yanli Zhang ◽  
Ramanathan Sugumaran ◽  
Matthew McBroom ◽  
John DeGroote ◽  
Rebecca L Kauten ◽  
...  

Author(s):  
Eka Larasati Amalia ◽  
Deasy Sandhya Elya Ikawati ◽  
Muhammad Arya Puja Laksana

Decision support system is a computer-based system that is used to solve problems by semi-structured and unstructured conditions. In this case, the best solution can be found from certain criteria and provided alternatives and is easy to use by users. In this study, researchers designed and built a website-based decision support system to select athletes in PERBASASI Malang with the provided test criteria, namely the hit test, catch test, throw test, and run test. The purpose of this study was to provide recommendations for participants who passed the selection based on test scores that have been processed using the VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) method. From the results of calculations, the use of the VIKOR method for this case study produced an accuracy value of 90.90%, a precision value of 93.33%, and a recall value of 93.33%. In addition, the VIKOR sensitivity test showed a consistent ranking of the calculation of the value with veto (value of v less than 0.5), by consensus (value of v is 0.5), and voting by majority rule (value of v more than 0.5). User testing that was applied by using each level of the existing account, i.e. administrator account level, selection account level, and members account level conducted on this information system concluded that the system that was built was running smoothly and was easy to use.


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