Decision support systems for scheduling tasks in Biosystems Engineering

The aim of the paper was to summarize and discuss current research trends in biomass thermal treatment (torrefaction process). Quantitative analyses were carried out, in which the main countries, research units and scientists were indicated. The analysis showed a clear upward trend in number of publications after 2010. Most scientists on selected topics come from China, USA, Canada, South Korea, Republic of China, Poland (Web od Science—Core Collection (WoS-CC) and Scopus databases). Quantitative analysis also showed that the most relevant WoS-CC categories in the summary are: Energy Fuels, Engineering Chemical, Agricultural Engineering, Biotechnology Applied Microbiology and Thermodynamics and Scopus Subject area: Energy, Chemical Engineering, Environmental Science, Engineering and Chemistry. Thematic analysis included research topics, process parameters and raw materials used. Thematic groups were separated: torrefaction process (temp.: 150–400 °C), hydrothermal carbonization process (HTC) (temp: 120–500 °C), pyrolysis process (temp.: 200–650 °C) and gasification and co-combustion process (temp.: 350–1600 °C). In the years 2015–2019, current research topics were: new torrefaction technologies (e.g., HTC), improvement of the physico-mechanical, chemical and energetic properties of produced fuel as well as the use of torrefied biomass in the process of pyrolysis, gasification and co-combustion. The raw materials used in all types of biomass thermal treatment were: energy crops, wood from fast-growing and exotic trees, waste from the agri-food industry, sewage sludge and microalgae.

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“…The research was carried out using the authors' methodology [12,55,59,60] using bibliometric techniques (Figure 3).…”

Section: Methodsmentioning

confidence: 99%

Thermal Treatment of Biomass: A Bibliometric Analysis—The Torrefaction Case

et al. 2020

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“…In recent years, there has been a rapid development of research on DSS. This is confirmed by the rapidly growing number of publications [29,30].…”

Section: Introductionmentioning

confidence: 72%

“…However, due to the increasing complexity of decision-making problems and the growing possibilities of IT systems, in recent decades, a new type of tools supporting decision-makers has been developed: the so-called decision support systems (DSS). The definition formulated by Sprague and Carlson was [28,29]: "DSS comprises a class of information system that draws on transaction processing systems and interacts with the other parts of the overall information system to support the decision-making activities of managers and other knowledge workers in organizations". In recent years, there has been a rapid development of research on DSS.…”

Section: Introductionmentioning

confidence: 99%

“…DSSs are used in many areas, e.g., IT, production engineering, transport, biosystem engineering and many more. In agricultural engineering, DSSs are used in pest management, crop production, biomass production, operational planning machine activities and pig products chains [29]. Decision support systems cover various parts of the supply chain.…”

Section: Introductionmentioning

confidence: 99%

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Decision Support System for the Production of Miscanthus and Willow Briquettes

Francik

Knapczyk

Knapczyk³

et al. 2020

Energies

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The biomass is regarded as a part of renewable energy sources (RES), which can satisfy energy demands. Biomass obtained from plantations is characterized by low bulk density, which increases transport and storage costs. Briquetting is a technology that relies on pressing biomass with the aim of obtaining a denser product (briquettes). In the production of solid biofuels, the technological as well as material variables significantly influence the densification process, and as a result influence the end quality of briquette. This process progresses differently for different materials. Therefore, the optimal selection of process’ parameters is very difficult. It is necessary to use a decision support tool—decision support system (DSS). The purpose of the work was to develop a decision support system that would indicate the optimal parameters for conducting the process of producing Miscanthus and willow briquettes (pre-comminution, milling and briquetting), briquette parameters (durability and specific density) and total energy consumption based on process simulation. Artificial neural networks (ANNs) were used to describe the relationship between individual parameters of the briquette production process. DSS has the form of a web application and is opened from a web browser (it is possible to open it on various types of devices). The modular design allows the modification and expansion the application in the future.

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Development of Decision Support System Platform for Daily Dietary Plan

Kooptiwoot

Javadi

2022

CNF

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Background: Solving many health issues needs accurate and significant information in food consumption. Recently, data analysis and communication provided outstanding and robust approaches to fulfill the necessity of scientific information and help in decision making in many fields. Many evidence reported that with little information better decisions can be achieved. Objective: This research aimed to develop the Decision Support System (DSS) for the daily dietary plan to practically help users in food consumption and health care. Methods: The system consists of 1,940 cuisine items, including Thai and English menus. In this system, the user can set the daily dietary plan by selecting menu items with food specific and total calories. Overall calories of selected menu items would be calculated automatically. The user can see the normal range of calories required based on gender with the help of the baseline (normal office person). Results: This system can help users to become familiar with a better daily dietary plan, food calories, and health care easily. Furthermore, experts (doctors) can improve their learning experiences by formulating and adjusting the Decision Support System (DSS) for patients in special need. The easiness and usefulness of this system were evaluated by 119 users on Likert scale (1=least, 5=most). The result on average was 4.58. Conclusion: The Decision Support System (DSS) for the daily dietary plan was developed. The accessibility to the system is via personal computer (PC), smartphone, and tablet with internet connection. For future work, this DSS can improve by connecting the platform with health care providers via sharing the data for more online support.

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Decision support systems for scheduling tasks in Biosystems Engineering

Cited by 3 publications

References 44 publications

Thermal Treatment of Biomass: A Bibliometric Analysis—The Torrefaction Case

Thermal Treatment of Biomass: A Bibliometric Analysis—The Torrefaction Case

Decision Support System for the Production of Miscanthus and Willow Briquettes

Development of Decision Support System Platform for Daily Dietary Plan

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