Distributed Decision Support System Research Articles

E-Navigation: A Distributed Decision Support System With Extended Reality for Bridge and Ashore Seafarers

E-Navigation: A Distributed Decision Support System With Extended Reality for Bridge and Ashore Seafarers

Decision support system for the fair distribution of efficiency gains in the AAL sector

Decision support system for the fair distribution of efficiency gains in the AAL sector

A decision support system for consolidated distribution of a ceramic sanitary ware company

This study proposes a model-driven decision support system (DSS) for a consolidated distribution problem of a ceramic sanitary ware company with two factories producing different types of products. The primary motivation for consolidating loads of the these factories is to better use the empty capacity of the vehicles in terms of weight and volume. For transportation, the company has made contracts for each factory with a third-party logistics provider. In these contracts, there are special conditions according to the characteristics of the products. We suggest two kinds of transportation approaches that determine how to combine loads of two factories and how to solve the routing problem that arises to distribute the remaining loads. The DSS includes a mathematical model that determines full-truck loads and a hybrid genetic algorithm that solves the open vehicle routing problem. Both of these approaches have been developed specifically for the problem within the scope of the study. The mathematical model provides the best use of vehicles in terms of volume and weight. At the same time, the meta-heuristic approach offers the opportunity to address the complex cost structure of the emerging routing problem. The proposed DSS receives all order data from the enterprise resource planning system and constructs a dynamic distribution problem. Then it generates solution alternatives by using the models developed in this study and presents cost-effective and visualizable distribution plans.

Decision Support System for Inheritance Distribution According to Islamic Law Using the Forward Chaining Method

The rapid development of information technology in all aspects of the field in this digital era is very important, such as in the fields of business economics, agriculture, culture and religion. In the religious field, technological advances will make it easier for people to learn and seek information in the religious field, as is the case in the issue of inheritance distribution which so far not all people understand it, and also the limited number of experts in the field of inheritance. Religious science is expected to provide a way to learn about inheritance easily, and with this expert system the community will be facilitated in terms of inheritance distribution problems using the forward chaining method, the system will be tested with a 100% accuracy level value in 10 tests with variables different heirs, from the test results, it is found that the system can be used properly.

Decision support system for the load distribution on a computer network

Controlling the quality and speed of data transmission is an urgent and practically significant task in the field of information technology. Despite the fact that the computing power of software systems and the bandwidth of networks are increasing every year, at the same time, the volumes of processed, transmitted and stored information are growing. Therefore, difficulties continue to arise in processing the required amount of data, which significantly increases the time to work with them and reduces the quality of the work done. This problem is especially acute in an environment when it is required to make decisions on the basis of data - in decision support systems. Thus, we are faced with the task of distributing the load over communication channels from overloaded nodes to free nodes in real time. To solve it, the article proposes a mathematical apparatus that allows you to build the necessary computer network. In the course of the study, it was also found that for a more successful solution to the problem posed, a computer network must work with a neural network. Its development and integration into the proposed mathematical apparatus can become the basis for further research.

Optimization of the Structure of the Investment Portfolio of High-Tech Companies Based on the Minimax Criterion

A model has been developed for the optimization of the share structure of an investment portfolio in high-tech projects supported by the leaders of the leading industry companies in Russia. Several indicators (financial leverage, integrated rating of companies, industry rating) were applied in the decision support system for the shared distribution of investments. High-tech production is based on innovative technologies for saving resources, the resiliency of systems for transporting and transferring raw materials and finished products within Russia, so the main income will remain within the country. It is possible to export high-tech products, rather than raw materials, which will increase export revenues. Investors will invest in high-tech projects of Russian companies, taking into account the targeting of investment development. The guarantee is the stable financial position of the companies and the competitiveness rating. Methods: The authors propose a new approach that does not contradict modern rating scales, based on a hierarchical rating procedure and fuzzy logical rules that allow you to build an integral rating in the form of portfolio shares from the whole. A higher share shows an indicator of the higher investment attractiveness of companies. The industry rating is obtained based on the principle of the company’s first affiliation to the highest rating indicator. The final minimax portfolio is based on the initial ratings in a circular convolution and is then adjusted by industry. A software package has been compiled that allows the testing of the method of capital allocation between investment projects for the largest companies’ leaders of high-tech industries in Russia. This software uses the author’s method of multi-stage analysis, the evaluation of financial coefficients, the integral ranking and the correction of the solution taking into account the industry attributes. Results: The results are presented with computer-aided design (CAD) in the form of an algorithmized decision support system (DSS). The CAD system is based on a hierarchical algorithm, based on the use of a multi-level redistribution of investment shares of high-tech companies, taking into account the adaptation to the requirements of the return on investment portfolio. When compiling the portfolio, the minimax optimality criterion is applied, which allows the stabilization of the risk by purposefully redistributing funds between the companies involved in the analysis. The authors of the article have compiled an algorithm for the software implementation of the model. Features of the rating approach: the use of the author’s mathematical apparatus, which includes a hierarchical analysis of the ranked indicators of the financial and economic activity of companies, taking into account their priority, and the use of a minimax approach to obtain a rating assessment of companies, taking into account the industry attributes. Development: The proposed approach should be used for targeted financing of large industry companies engaged in the implementation of high-tech projects.

Mathematical model of an intelligent decision support system for road quality management

The experience of operation of decision support systems is analyzed, it is shown that the existing principles of creating these systems do not take into account the failure and change in the performance of individual service element, which depend on the current load on the system. The definition of an adaptive decision support system as an intelligent system that works in an automated mode and is able to function in a changing environment, its internal structure, knowledge base, regulatory framework for management, support tools, system users is given. The tasks of construction a mathematical model of an adaptive decision support system and determining its objective function are set. A distributed decision support system, which receives information containing data from various input sources was studied. For construction a mathematical model of the system under investigation, the procedures for selecting mathematical models and methods of queuing theory were used. To assess the quality and effectiveness of an adaptive decision support system, simulation modeling is proposed.

Towards a Real Time Distributed Flood Early Warning System

Since the beginning of humanity, floods have caused a lot of damages and have killed many people. So far, floods are causing a lot of losses and damage in many countries every year. When facing such a disaster, effective decisions regarding flood management must be made using real-time data, which must be analyzed and, more importantly, controlled. In this paper, we present a distributed decision support system that can be deployed to support flood management decision makers. Our system is based on Multi-Agent Systems and Anytime Algorithm, and it has two modes of processing: a Pre-Processing mode to test and control the information sent by sensors in real-time and the Main Processing mode, which has three different parts. The first part is the Trigger Mode for monitoring rainfall and triggering the second part, the offline mode, which predicts the flood based on historical data without going through the real-time decision support system. Finally, the online mode predicts the flood based on real-time data and on a combination of communications among different modules, hydrodynamic data, Geographic Information System (GIS), decision support and a remote sensing module to determine information about the flood.

A decision support system on the obesity management and consultation during childhood and adolescence using ontology and semantic rules

Obesity is defined as abnormal or excessive fat accumulation that presents a risk to health according to the World Health Organization (WHO). Pediatric or childhood obesity is the most prevalent nutritional disorder among children and adolescents worldwide. In pediatric or childhood obesity, constant monitoring of the pediatric patients by health experts is required to provide efficient obesity management and treatment. Therefore, the patients are examined on a regular basis, the measurements are compared against predefined percentile values and the development of the pediatric patient is examined. This study discusses the design, implementation, and potential use of an ontology-based obesity management and consultation system which is a decision support system for health experts during treatments of the children and adolescent patients. The system does not only share instant gathered medical data to health experts but also examines the data as a smart medical assistant. The system includes an ontology-based inference engine module, which is a decision support module, and used to infer certain personalized suggestions for patients. Suggestions in four categories emerged as a result: (1) Development Feedback Suggestions, (2) Calorie Intake Suggestions and Physical Activities, (3) Mom Suggestions, and (4) Obesity Treatment Stage Suggestions. The methodologies applied and main technical contributions are discussed in three aspects: (1) Obesity Tracking Ontology, (2) Semantic Web Rule Knowledge base, and (3) Inference Engine Module. In this study, unlike other similar studies, ontology and rule based smart medical assistant which have different functionalities from adults' obesity management is considered especially for obesity management of children and adolescents. The system also includes intensive pediatric health care expert involvement. Eighty case studies from real anonymous pediatric patients are analyzed and discussed in this experimental study. The results retrieved from 80 case studies are promising in demonstrating the applicability, effectiveness and efficiency of the proposed approach. The inference engine module of the proposed system can be integrated semantically into intelligent and distributed decision support systems, and the system ontology can be used as a knowledge base in similar systems.

Store flyers: managing spatial distribution under budget constraints

PurposeThe study develops a decision support system for the spatial distribution of store flyers, identifying a number of factors related to the demand and the competition influencing the complexities of their allocation to the target population.Design/methodology/approachThe model was developed incorporating the insights found in existing marketing literature and bypassing the limitations of the managerial practices. To this end, an in-depth discussion with a panel of retailers was held. The model was tested in collaboration with a retail chain.FindingsThe proposed system is flexible and provides an almost endless array of solutions in accordance with the retailer's strategic approach to the market. It captures the key trade-offs that need to be made during the decision-making process of a retailer with limited marketing resources.Practical implicationsThe traditional managerial approach, based on a set of operational steps, is overtaken by a model that systematically considers the interrelationships between the decision-making factors involved.Originality/valueThis is the first attempt to analyse spatial distribution of store flyers, a topic that has yet to be explored in retail marketing research. The paper conceptualises the key variables which affect the optimisation problem and reviews the different streams of extant research to obtain the appropriate insights.

The application of privacy protection and artificial intelligence technology in the information auxiliary system of the prevention and control of COVID-19/ 中华医学科研管理杂志

Objective The outbreak of novel coronavirus raised many problems in the auxiliary information system of epidemic prevention and control, which including the need to prevent key data from being illegal modification, traceability, lack of decision support systems at different levels, barriers to cross regional cooperation and low automation of case diagnosis. Methods In this paper, artificial intelligence, security computing supporting privacy protection, block chain and other emerging technologies are introduced into the epidemic prevention and control auxiliary information system. Results This paper discusses how to utilize modern cryptography and block chain technology to establish a traceability system that could assure the security of epidemic information; design a distributed decision support system; solve the privacy-preserving problems of Federated Learning based on SGX technology, and present a group architecture to alleviate the performance cost of SGX. Conclusions The schemes above can help to achieve the security and traceability of epidemic information, also improve the automation and decision-making efficiency of the auxiliary information system for epidemic prevention and control. Key words: Epidemic prevention and control; Privacy protection; Block chain; Artificial intelligence; Decision Support

Decision Support System for Distribution of Assistance for Fishermen with Analytical Hierarchy Process

Sei Kapitan (Kapitan River) is a village located in Kumai District, West Kotawaringin Regency, Central Kalimantan Province with a population density of 5,660 inhabitants. 25% from 5,660 people work as fishermen so do fishermen in this village). The government has provided assistance for fishermen to reduce poverty, but it isn’t in the right target. The government only provides assistance without providing standard data and criteria to determine the beneficiaries. While from the village, they chose beneficiaries based on meetings with village officials, there will be many factors recommended at the meeting. Therefore they need system that can determine and conduct the assistance to fishermen who are entitled to receive support, it is the AHP (Analytical Hierarchy Process) method. By using the system development method, called <em>prototypes</em>, and criteria for fisheries ownership every month, types of fisheries, ship, and fishing gear ownership can be detected. This method was chosen because it can select the best alternative from several alternatives. The final result of this system is an alternative decision making that is interesting in determining the beneficiary fishermen. The future hope is that the results of decision making will be right on target and the system can be operated online.

Розробка вимог до автоматизованої системи управління пропускною спроможністю залізничної інфраструктури України

To improve the efficiency of the railway transport ofUkrainein the conditions of rail industry reform and the introduction of equal access to the railway infrastructure, based on the development of requirements for an automated system for managing the allocation of rail infrastructure capacity to improve the quality of scheduling transportation under open access. The analysis of the stages of production processes of Ukrzaliznytsya JSC, included in the procedure of distribution of bandwidth of the network is automated fragmentation. The functions of existing automated systems of allocation capacity distribution on the railways of such countries as:Germany,Switzerland,France,Belgium,Netherlands,Polandare investigated. It is proposed to create its own automated system, which will take into account the specifics of organization of transportation on the railways ofUkraine. Requirements for the formation of an automated system for managing the capacity of railway infrastructure on the basis of a distributed decision support system for realization of a complex of tasks of planning of transportation from the application for the organization of the route to the allocation of capacity, the development of the thread train timetable and the analysis of the implementation of the transport process. The modular principle of the construction of an automated system is proposed. Measures have been developed for the integration of automated systems operating at Ukrzaliznytsya JSC for information support functions in the allocation of capacity network. r

Decision Support Systems on Complex Situation Governance Based On Scenario Approach

Governance of modern situations arising in regional systems requires the development of distributed decision support systems in governance network. The paper proposes a strategic decision support scheme based on a combination of tools supporting the process of constructing multifactor situation models, and agreed models, taking into account different stakeholders’ opinions, scenario analysis tools for forecasting and searching for control actions as well as tools for monitoring situation change by factors. At an acceptable level of maturity of technologies of structuration and formalization of knowledge about the situation in the form of models, the means of supporting scenario analysis and synthesis of control activities on complex situations are critical.

Green logistics decision support system for blood distribution in time window

Green logistics decision support system for blood distribution in time window

Green logistics decision support system for blood distribution in time window

During previous years, the role of green logistics in the distribution management has seen a tremendous increase due to increased focus on environmental protection, consumer environmental concern, green legislation and sustainability. This has led to an increase in recycling, reuse and emission control to reduce economic and environmental costs. In this research, a genetic algorithm-based decision support system for the route generation and comparison of the routes based on various economic and environmental cost factors. A mixed integer linear programming formulation of four vehicle routing problems with simultaneous delivery and pickup (full and partial) and time window (hard and soft) is provided and solved by genetic algorithm. The real-life data of blood distribution is used for comparing VRPSDPTW variants on the basis of their economic and environmental value. The computational results indicate that total cost is lower in the case of a full pickup with the soft time windows. The logistic organisations can use the proposed system in decision making to select an appropriate transportation scheme with lower economic and environmental costs.

Моделювання прийняття рішень оператором дистанційно пілотованого літального апарату в аварійних ситуаціях

Мета: Відсутність алгоритму рекомендацій дій оператора БПЛА в надзвичайних ситуаціях, розкладання процесу прийняття рішень оператором БПЛА в надзвичайних ситуаціях, розробка структури системи підтримки прийняття рішень для оператора БПЛА, розробка моделей прийняття рішень оператором БПЛА. Методи: Створення алгоритму прийняття рішень за допомогою критеріїв Вальда, Гурвіца, Ла Пласа. Результати: програма "UAV_AS", що дає рекомендації оператору БПЛА про те, як діяти в разі виникнення надзвичайної ситуації. Авторами розроблено алгоритм дій рекомендації оператора БПЛА в надзвичайних ситуаціях. Представлений процес прийняття рішень оператором БПЛА в надзвичайних ситуаціях у вигляді детермінованої моделі із застосуванням методів мережевого моделювання. Побудовано мережевий граф, за яким визначено критичний час на парирування надзвичайної ситуації у разі польоту БПЛА. Розроблено структуру розподіленої СППР для колективного управління пілотованих та безпілотних літальних апаратів оператором. Авторами розроблено бази даних для локальних СППР операторів управління БПЛА, Розроблено моделі прийняття рішень оператором БПЛА в умовах ризику та в умовах невизначеності у разі аварійної посадки БПЛА. Обговорення: У статті розглядаються проблеми польотів безпілотних літальних апаратів для вирішення різних завдань в надзвичайній ситуації, засноване на статистичних даних від аналізу типів надзвичайних ситуацій для безпілотних літальних апаратів. Визначається послідовність дій оператора БПЛА в разі виникнення надзвичайних ситуацій.

DOC-BRelax: A new multi-agent system to solve Distributed Constraint Optimization Problems

Many problems in multi-agent systems can be described as Distributed Constraint Satisfaction Problems (DCSPs), where the goal is to find a set of assignments to variables that satisfies all constraints among agents. However, when real-life application problems are formalized as DCSPs, they are often over-constrained and have no solution that satisfies all constraints. Moreover, the globalization of the economy and democratization of the Internet, boosted by the huge growth in information and communication technologies, have largely contributed to the expansion of numerous distributed architectures. Thus this paper provides a new distributed management and decision support system suitable to these interdependencies and these complex environments. We present a Distributed Optimization under Constraints Basic Relax (DOC-BRelax) as a new framework for dealing with over-constrained situations. We also present a version of this framework called DOC-MaxRelax and a new algorithm for solving Distributed Maximal Constraint Satisfaction Problems (DMCSPs).

The Management of End User Computing in a Distributed Decision Support Systems Environment

Due to the heavy use of End User Computing (EUC) at all levels within organizations, there is a need to integrate user-developed systems and other subsystems to effectively support organizational management and decision making. In this paper, the authors examine issues related to EUC in a subsystem-interface based distributed Decision Support Systems (DSS) environment from which several guidelines on managing EUC are recommended. These guidelines include: 1) the planning of EUC should be incorporated into the design of DSS; 2) the management of EUC should be oriented to the effectiveness of organizational decision making; and 3) the management of EUC cannot be separated from the management of communication activities.

Research on City Rapid Medical Decision System Based on GIS

In order to guarantee the validity of the city emergency rescue, it will need to feedback goods demand and injuries to guide accident emergency rescue center in a timely, and also we need to fully grasp with emergency supplies and emergency hospital. Considering the effectiveness of city emergency rescue and timeliness, the paper analyzes and design Rescue Decision Support System for city distribution of emergency supplies and search of wounded man based on GIS. Emergency medical aid model established in this paper, taking ArcGIS+VS2005 as the development platform, C# as development language, design and development the preliminary city emergency medical rescue simulation system based on GIS.