Model-based Management System Research Articles

Design and Implementation of Physical Education Teaching Management System Based on Multi-agent Model

The traditional physical education (PE) teaching management system is usually controlled and managed by a single center, which cannot meet the diversified and personalized teaching needs. Therefore, the research of PE teaching management system based on multi-agent mode has become an important direction. The purpose of this paper was to discuss how to improve the effect and quality of PE teaching and enhance students' learning enthusiasm and initiative through the design of multi-agent mode PE teaching management system. The PE teaching management system based on multi-agent mode provides more flexible and personalized teaching management services by utilizing the cooperation and interaction between agents, realizes the information exchange between teachers and students, provides real-time teaching feedback and evaluation, and promotes the sharing and collaboration of teaching resources. Therefore, the operating efficiency of the conventional physical education management system was the highest at 75% and the lowest at 67%, according to the experimental findings of this paper. The multi-agent model-based management system for physical education had a 95 percent maximum operating efficiency and an 88% minimum operational efficiency. The minimum difference between the two was 21%, and the maximum difference was 20%. It can be seen that the operation efficiency of the physical education management system based on the multi-agent model is more advantageous and more stable.

A web-based integrated Bayesian decision support system for rangeland management in semi-arid watersheds

A Bayesian web-based Decision Support System (DSS) was designed and developed to assist various stakeholders in improving biophysical and socio-economic conditions in a stressed and fragile watershed by systematically evaluating current watershed characteristics, introducing feasible solutions as well as choosing the best ones. The need to deliver a flexible DSS has been the motivation to look for a decision toolbox accommodating the concerns and priorities of a wide range of stakeholders as the potential users. This assists the users to make informed decisions based on quantified potential outcomes. The DSS main components include a database management system, a model base management system, multi-attribute decision-making models, and a graphical user interface. This prototype DSS provides a brief introduction of a pilot watershed characterized with semi-arid conditions in the Mid-north of Iran and then presents the problem structure using the DPSIR approach. A set of vegetation-based solutions and their spatial distribution considering some scenario rules are provided to the DSS users. The various impacts of the proposed solutions are predicted using several models in the Bayesian network modeling context integrating qualitative and quantitative knowledge and data. The DSS developed in this study facilitates knowledge transfer and involvement of stakeholders including practitioners and local communities in the decision making process. This DSS has been designed into a web-based and open-source framework for easier and inclusive access. The DSS can be tailored to fit a broader class of environmental problems.

Design of intelligent decision support system for supply chain sustainability assessment

The objective of this research is to develop an intelligent decision support system (IDSS) that can aid decision-makers in enhancing the performance and sustainability of the sugarcane agroindustry's supply chain. A case study focusing on a sugarcane agroindustry supply chain was proposed. The IDSS was developed using the waterfall approach, which follows the system development life cycle (SDLC) and employed an object-oriented programming technique. The outcome of this study is a prototype of the IDSS, consisting of a database, model base, and knowledge-based management system configuration. To evaluate the sustainability of the supply chain, a fuzzy inference system and an adaptive fuzzy inference system algorithm were utilized. Through verification and validation, it was determined that the IDSS prototype has the potential to be implemented in real-world scenarios, as long as certain assumptions related to the model are taken into consideration.

The Relationship between Non-Financial Stakeholders and Capital Structure

Financial accountong literatures have highlighted the important role of non-financial factors such as intellectual capital (IC) as a main value added factor for companies, and perceived environmental uncertainty (PEU) as unpredictable contingency factor from a dynamic environment on the corporate performance (CP). Therefore, it is important for organizations to rely more on non-financial than financial factors to achieve higher competitive advantage. Identifying the most important non-financial factors affecting corporate performance from these environments and their relationship with capital structures is the main issue in today's dynamic conditions. This research examined the relationship between non-financial factors of IC and PEU and evaluated their influence on CS directly or indirectly by considering corporate performance as mediator. Questionnaires were distributed to 339 public listed Iranian manufacturing companies selected by census. Data were analysed using structural equation modeling. The main findings of this study are IC can enhance corporate performance, PEU is positively linked to corporate performance, and corporate performance is positively linked to capital structure. The results also indicated a full mediating role of corporate performance in the relationship between PEU and capital structure. This study contributes to determining capital structure decision making, by considering IC and PEU in the context of companies in Iran. Also, we analyze intellectual capital relation with and 1) traditional vs. secular-rational values and 2) survival vs. self-expresion values. Based on the analysis of existing knowledge, neutral networks, expert and decision support systems and in order to determine most effective versions of intellectual capital an Intellectual capital multiple criteria decision support (ICMCDS) system consisting of a database, databa management system, model-base, model-base management system and user interface was developed. Further in-depth research is needed to examine this links betwwen non-financial factors with different measurement perspectives and capital structure to develop a deeper understanding of their effect on capital structure.DOI: http://dx.doi.org/10.5755/j01.ee.28.4.16812

Spatial intelligent decision support system for increasing productivity on natural rubber agroindustry by green productivity approach

PurposeThe purpose of this paper is to develop a spatial intelligent decision support system (SIDSS) for increasing productivity in the rubber agroindustry by green productivity (GP) approach. The SIDSS was used to measure the productivity of rubber plantation and rubber agroindustry by GP approach, and select the best strategies for increasing the productivity of rubber agroindustry.Design/methodology/approachThis system was developed by combining spatial analysis, GP, and fuzzy analytic network process (ANP) with the model-based management system, which is able to provide comprehensive and meaningful decision alternatives for the development of natural rubber agroindustry. Rubber plantation productivity measurement model was used to find the productivity level of rubber plantation with fuzzy logic, and also to provide information and decision alternatives to all stakeholders regarding spatial condition of rubber agroindustry, production process flow, and analysis of the seven green wastes at each production process flow using the geographic information system. GP measurement model was used to determine the productivity performance of the rubber agroindustry with the green productivity index (GPI). The best strategy for increasing the productivity was determined with fuzzy ANP.FindingsRubber plantation measurement model showed that the average of plantation productivity was 6.25 kg/ha/day. GP measurement model showed that the GPI value of ribbed smoked sheet (RSS) was 0.730, whereas of crumb rubber (CR) was 0.126. The best strategy for increasing the productivity of rubber agroindustry was raw material characteristics control. Based on the best strategy, the GPI value of RSS was 1.340, whereas of CR was 0.228.Research limitations/implicationsThis decision support system is still limited as it is based on static data; it needs further development so that it can be more dynamically based on developments in the rubber agroindustry related levels of productivity and environmental impact. In addition, details regarding the decision to increase the productivity of the rubber section by benchmarking efforts should be studied further, both among plantation as well as among countries such as Thailand so that the productivity of rubber plantation and agroindustry can be integrated.Practical implicationsThis research can help the planters to select superior clones for rubber trees, to improve the technique of tapping latex, and to use a better coagulant. The good quality and quantity of raw material is a key factor in increasing the productivity of rubber agroindustry; if the quality of latex is good then the resulting product will also have a good quality and production cost can be reduced. In addition, the application of GP through the calculation of GPI value using improvement scenarios can be used as a reference and comparison for evaluating the performance of rubber agroindustry to reduce the waste generated by the activities of rubber processing plant.Social implicationsReduction of waste generated by production activities can improve the quality of life of the workforce and the environment. The calculation of GPI value can also be used as a basis to use raw materials, water, and electricity more efficiently.Originality/valueThis system was developed by combining spatial analysis, GP, and fuzzy ANP with the model-based management system, which is able to provide comprehensive and meaningful decision alternatives for the development of natural rubber agroindustry.

Aplication of techno-marketing programme package of Indonesian orthodox black tea to analyze the Russian Federation market

In order to increase market share as well as competitiveness of Indonesian orthodox black tea in Russian Federation as the biggest Indonesian tea export destination, a research to analyze Russian Federation market applying tea techno-marketing programme package especially to finding suggestions in improving process production has been conducted. This programme consist of Data Base Management System, Knowledge Base Management System, Model Base Management System, and Dialogue Management System. Four data analysis techniques were applied namely (1) market trend, (2) comparative performa index (CPI), (3) constant market share (CMS), and (4) quality function deployment (QFD). The results showed that the Russian Federation market prefer the medium grown tea which is dominated by broken grade (91%). Minimum sensory test score for appearance of made tea, taste, aroma, and colour of liquor as well as infused leaf to be accepted in Russian Federation market were medium. To comply with a request of Russian Federation market, main production process aspects had to be improved, were the quality of tea shoots, had to be 65% minimum, and the rolling programme in factory to result in 90% of broken grades.

Advisory, Negotiation and Intelligent Decision Support System for Leadership Analysis

The development of the Leader Model for quantitative and qualitative analyses began with the goal of integrating managerial, organizational, technical, technological, economic, legal/regulatory, innovative, social, cultural, ethical, psychological, religious, ethnic and other aspects involved in the process of a leaders life cycle. The need to determine the most efficient life cycle of a leader led to the development of the Advisory, Negotiation and Intelligent DEcision support System for Leadership Analysis (ANDES). The objective of the authors of this work for integrating text analytics, advisory, negotiation and decision support systems is to improve the quality and efficiency of intelligent decision-making regarding a leaders life cycle. This ANDES consists of an intelligent database, database management system, model-base, model-base management system and user interface.

A MULTIPLE CRITERIA DECISION SUPPORT SYSTEM FOR ANALYZING THE CORRELATION BETWEEN THE THICKNESS OF A THERMO-INSULATION LAYER AND ITS PAYBACK PERIOD OF THE EXTERNAL WALL

A case study provides the correlation analysis of the thickness of the thermo-insulation layer (expanded polystyrene – EPS70) of the typical details of the external wall and energy performance class in a modern newly constructed residential low-energy building (one and two-room apartment). The conducted analysis focused on what impact different geographical areas of building construction and different energy performance classes of the building may had on the thickness of the thermo-insulation layer. Lithuania was chosen as the object of this study. Calculations were carried out in seven towns, including Vilnius, Klaipeda, Kaunas, Siauliai, Panevezys, Utena and Dukstas. According to requirements for legal acts passed in the Republic of Lithuania and to Directive 2010/31/EU (2010), as a result, the necessary thickness of thermo-insulation layers (EPS70) and a payback period were calculated. A multiple criteria decision support system for analyzing the correlation between the thickness of the thermo-insulation layer and its payback period of the external wall (DSS-ACTILPW) consisting of a database, a database management system, a model-base, a model-base management system and a user interface was developed. Information on the performed analysis is important to building designers, energy consumption auditors and investment experts who make the final decisions on energy efficiency of buildings in the residential building sector.

Marketing Risk Management of Palm Oil Based Biodiesel Agroindustry

Biodiesel is fuel generates from vegetable oils that have properties similar to diesel oil. The advantages of biodiesel compared to diesel is an environmentally friendly fuel because it produces much lower emissions (sulfur free, low smoke number) in accordance with global issues, higher cetane number (> 57) so that the combustion efficiency is better than diesel, lubrication properties of the piston engine; biodegradable, a renewable energy because it is made from natural materials, and improve the independence of fuel supply because it can be produced locally. The purpose of this research is to design the risk management decision support system for agro-industry development biodiesel of oil palm-based. Determination of objectives and risk management strategies using the used to obtain an alternative value in the aspect of marketing. This research resulted in a decision support system that is useful to help decision makers in addressing the risk of agro-bio-diesel. Risk management model is designed in a decision support system (DSS), can be used by industrial users and investors in the field of biodiesel. DSS software development using Microsoft Visual Basic Version 6.0 consists of three main components namely database management system, knowledge base management system and model base management system. Model base management system consists of risk marketing analysis.

Decision Support Systemof Herb's Production Schedulling Based on Good Traditional Medicine Manufacturing Practices (GTMMP) Standard

The purpose of this research is to develop a decision support system in the herbs production scheduling appropriates to Good Traditional Medicine Manufacturing Practices (GTMMP).Design of algorithm modelfor scheduling decision support system that complies with GTMMP standard was done using a network analysis technique, which combines the techniques Evaluation and Review Technique Program (PERT) and Critical Path Method (CPM). The structure of decision support systems consists of database management syatem and modelbase management system. The implementation of decision support systems is the consideration for companies that intend to certify GTMMP.

Design and Realization Based on SAR Image Target Model Base

The paper have made a preliminary exploration about the establishment of SAR image target model base on the guidance of model base theory and on the basis of study evolution on SAR image target recognition. The design have made SAR image target model base management system successfully within the platform of Visual Studio 2005 and have studied on the establishment method of SAR image target model base.

The Smart Phone Application Model based Medication Management System using the QR code

정보 통신 발달과 더불어 언제 어디서나 원하는 정보를 전달받고 확인하고 활용할 수 있는 사회적 인프라가 확보 되고 있다. 그런 환경에서 스마트폰 어플리케이션이 현대사회에서 아주 중요한 자리를 차지하고 있다. 의료 분야 중에서도 질병에 따른 약물을 처방받고 투여하는 전반의 과정에서 보다 효율적이고 합리적인 방법이 요구되고 있다. 본 논문에서는 스마트폰용 어플리리케이션을 위한 약물 투약 관리 시스템에 대한 모델을 제시한다. 이 모델을 통해서 약물 처방과정에서 중복되는 부분을 미리 방지하고 약물복용 시간이나 횟수 인지 실패로 인한 과다복용이나 과소복용의 사례로부터 질병을 더 악화시키거나 일정 약물에 대한 면역력을 증가시키는 등의 부작용을 줄일 수 있다. 또한 이 모델에 기초해서 가장 기초적인 가정 진단 기기와 스마트폰 어플 간의 연결문제, 약물 중복 방지에 대한 알고리즘, 약물 복용하는 시간 관리 알고리즘, 처방전을 받은 후 배달 시스템에 대한 구체적이고 효율적인 알고리즘 연구가 요구 된다.

A Research of Principle and Application of Communication Interface between MBMS and DBMS in DDS

The communication interface technology of Model Base Management System (MBMS) and Database Management System (DBMS) is one of the key technologies for successful implementation of Decision Support System (DSS). This paper firstly introduces the concept model of communication interface between MBMS and BMS in DDS. Then it makes an analysis of the principle of communication interface between MBMS and BMS in DDS. Based on the analysis, three ways of its implementation are proposed: Standard Format Method, Function Method and Embedding Method, which finally realize the ODBC-based application of communication between MBMS and DBMS in DSS. This paper is of great reference significance for solving communication problems among database, model base, data warehouse, knowledge base, expert base and method base, and for accessing heterogeneous data or even extreme data in such emerging Decision Support Systems as Distributed DSS, Group DSS and Intelligent DSS.

A web‐based information management system for predicting the breakdown of off‐highway plant

Effective management and utilisation of plant history data can considerably improve plant and equipment performance. This rationale underpins statistical and mathematical models for exploiting plant management data more efficiently, but industry has been slow to adopt these models. Reasons proffered for this include: a perception of models being too complex and time consuming; and an inability of their being able to account for dynamism inherent within data sets. To help address this situation, this research developed and tested a web‐based data capture and information management system. Specifically, the system represents integration of a web‐enabled relational database management system (RDBMS) with a model base management system (MBMS). The RDBMS captures historical data from geographically dispersed plant sites, while the MBMS hosts a set of (Autoregressive Integrated Moving Average – ARIMA) time series models to predict plant breakdown. Using a sample of plant history file data, the system and ARIMA predictive capacity were tested. As a measure of model error, the Mean Absolute Deviation (MAD) ranged between 5.34 and 11.07 per cent for the plant items used in the test. The Root Mean Square Error (RMSE) values also showed similar trends, with the prediction model yielding the highest value of 29.79 per cent. The paper concludes with direction for future work, which includes refining the Graphical User Interface (GUI) and developing a Knowledge Based Management System (KBMS) to interface with the RDBMS.

SPATIAL DECISION SUPPORT SYSTEM FOR ZINC CONTENT IN SOIL

Spatial decision support systems can enhance the efficiency and effectiveness of decision-making about the zinc status of soil. In this paper, we present an interactive spatial decision support system (ISDSS), identifying the zinc deficiency zone(s), thus enabling the decision-maker to take appropriate measures for correcting zinc deficiencies in soil. The system can display a contour map of the required Block, District, or State of West Bengal along with information about the quantity of zinc to be added to the soil, if the available zinc is not sufficient for a particular crop. The ISDSS consists of a non-spatial database management system and corresponding spatial database, a model base management system, and a user interface. The ISDSS is developed using the scripting language EASI (Engineering Analysis and Scientific Interface) under the GIS software tool, SPANS (Spatial Analysis System). The system runs under the Microsoft Windows operating system.

Decision Support System for Reservoir Water Management Conflict Resolution

A decision support system for reservoir water management conflict resolution (RWM-CRSS) in a multipurpose single reservoir system has been developed. The system consists of a communication system, a database management system, and a model-base management system. A new approach is used in developing the communication system, in which the use of artificial intelligence markup language facilitates the task of developing human-like communication between the stakeholders and the system. Tools that are common to analyze a multipurpose single reservoir system are provided in the model-base management system. RWM-CRSS is designed to handle conflict between two groups who have on-demand water requirements for irrigation, drinking water, hydropower generation, or minimizing flood damage. A hypothetical scenario of irrigation versus drinking water supply is demonstrated.

Computer Support for Implementation of a Systemic Approach to Water Conflict Resolution

Water is an important factor in conflicts among stakeholders at the local, regional, and even international level. Water conflicts have taken many forms, but they almost always arise from the fact that the freshwater resources of the world are not partitioned to match the political borders, nor are they evenly distributed in space and time. Two or more countries share the watersheds of 261 major rivers and nearly half of the land area of the world is in international river basins. Water has been used as a military and political goal. Water has been a weapon of war, and water systems have been targets during the war. A systemic approach has been taken in this research to approach resolution of conflicts over water. By helping stakeholders to explore and resolve the underlying structural causes of conflict our approach offers a significant opportunity for its resolution. We define the five main functional activities for assisting the conflict resolution process as: (i) communication; (ii) problem formulation; (iii) data gathering and information generation; (iv) information sharing; and (v) evaluation of consequences. A computerized technical support is developed in the form of the Conflict Resolution Support System (CRSS) for implementation of a systemic approach to water conflicts. Its principal components include an artificial intelligence-based communication system, a database management system, and a model base management system. At this stage of the development, the model base management system consists of tools for multipurpose reservoir operation, river flow routing, multi-criteria decision-making, spatial data analysis, and other general utilities. A hypothetical river basin with potential conflict between stakeholders with respect to water sharing and flood control is used to demonstrate the utility of the new approach and the computer system developed for its implementation.

Design of environmental decision support system and its application to water quality management

EDSS is a comprehensive software system for water quality management in tidal river networks in general and for the Pearl River Delta in particular. Its purpose is to provide a practical tool that could assist government agencies in decision making for the efficient management of water resources in terms of both quantity and quality. By combining the capabilities of geographical information system (GIS), database management system (DBMS), model base management system (MBMS) and expert system, the aim is to improve the quality of decision making in what is becoming an increasingly complex area. This paper first outlines the basic concepts and philosophy adopted in developing EDSS, the system architecture, design features, implementation techniques and facilities provided. Thereafter, the core part of the system—the hydrodynamic and water quality models are described briefly. The final contribution in this paper describes the application of EDSS to the Pearl River Delta, which has the most complicated tidal river network patterns as well as the fastest economic development in the world. Examples are given of the real-world problems that can be addressed using the system, including cross-boundary water pollution analysis, regional drinking water take-up site selection, screening of important polluters, environmental impact assessment, and water quality zoning and planning. It is illustrated that EDSS can provide efficient and scientific analytical tools for planning and decision-making purposes in the information era.

Towards a computer-aided economic planning support system

The purposes of this paper are (i) to outline a conceptual framework of a computer-based DSS directed to support the development planning process, and (ii) to present the main features and structure of a model-based management system designed to assist in formulating and testing medium-term economic plans. The system has proven to be useful for organizing, systemizing and supporting the development planning process. While the economic planning support system ( PSS), described in this paper, has been applied to the Kuwait economy, it was initially established with the aim of creating a generally applicable computer-based system which can be applied to other national economies.

Production management in the textile industry using the “YFADI” decision support system

The decision support system (DSS) presented here is dealing with the production planning and scheduling in the textile industry. The DSS aims at the efficient management of a mixed production system (job-shop and flow-shop), such as that of the textile industry. Its main feature is the effective combination of a database and a model based management system in order to merge existing expert knowledge. A powerfull user interface makes the DSS user-friendly and a multi-module formulation is used for better interpretation and analysis of the production procedures. 1