Decision Support Systems Research Papers (original) (raw)

ABSTRACT Lean Six Sigma Executive Overview (Case Study) Templates are a guide to Lean Six Sigma Green Belt, Lean Six Sigma Black Belt, and Lean Six Sigma Master Black Belt Projects. Lean Six Sigma Practitioners use the DMAIC (Define,... more

ABSTRACT Lean Six Sigma Executive Overview (Case Study) Templates are a guide to Lean Six Sigma Green Belt, Lean Six Sigma Black Belt, and Lean Six Sigma Master Black Belt Projects. Lean Six Sigma Practitioners use the DMAIC (Define, Measure, Analyze, Improve, and Control) Phases. The Lean Six Sigma Executive Overview (Case Study) include the most common tools used in the DMAIC Phases. There are Backup Slides that include the tools and templates of Optional or less often tools. There are guidelines in the notes section. These templates are used to document Lean Six Sigma Projects as they are executed. I wish you well on your projects. Steven Bonacorsi, Lean Six Sigma Master Black Belt.

This article reviews weblogs and their role as a social networking device for young people and its probable evolution to the organizational computing medium. The motivation of young webloggers, based on an analysis of 33 interviews, and... more

This article reviews weblogs and their role as a social networking device for young people and its probable evolution to the organizational computing medium. The motivation of young webloggers, based on an analysis of 33 interviews, and the evaluation of the fit between technology features and the needs of these webloggers are reported. Four user types with their unique profiles and technology needs, and a needs-technology fit model, are described. The findings support the conjecture that organizational computing will (or should) take advantage of employees' social computing expertise and acceptance and to further capture the attention of customers.

In this paper, we present a method that allows designers to interactively create partially self-similar manifold surfaces without relying on shape grammars or fractal methods. The modellers that are based on traditional fractal methods or... more

In this paper, we present a method that allows designers to interactively create partially self-similar manifold surfaces without relying on shape grammars or fractal methods. The modellers that are based on traditional fractal methods or shape grammars usually create disconnected surfaces and restrict the creative freedom of users. In most cases, the shapes through conventional fractal or shape grammar methods are defined by hard coded schemes that allow limited interactivity for the design process. We present a new approach for modelling such shapes. With this approach, we have developed a simple generative tool with given adjustable parameters to achieve variety of conceptual forms. Using this tool, designers can interactively create a variety of partially selfsimilar manifold surfaces. 1.

In this paper, we present a method that allows designers to interactively create partially self-similar manifold surfaces without relying on shape grammars or fractal methods. The modellers that are based on traditional fractal methods or... more

In this paper, we present a method that allows designers to interactively create partially self-similar manifold surfaces without relying on shape grammars or fractal methods. The modellers that are based on traditional fractal methods or shape grammars usually create disconnected surfaces and restrict the creative freedom of users. In most cases, the shapes through conventional fractal or shape grammar methods are defined by hard coded schemes that allow limited interactivity for the design process. We present a new approach for modelling such shapes. With this approach, we have developed a simple generative tool with given adjustable parameters to achieve variety of conceptual forms. Using this tool, designers can interactively create a variety of partially self-similar manifold surfaces.

Bu çalışmanın amacı; lojistik süreçlerde önemli bir yer işgal eden ürün yükleme aşamalarında makine ve işgücü verimliliğini artırmaktır. Bu çalışmada; orantısız yüklerin konteynerlere ve diğer taşıyıcılara yüklenirken zaman parametresi... more

Bu çalışmanın amacı; lojistik süreçlerde önemli bir yer işgal eden ürün yükleme aşamalarında makine ve işgücü verimliliğini artırmaktır. Bu çalışmada; orantısız yüklerin konteynerlere ve diğer taşıyıcılara yüklenirken zaman parametresi üzerinden hareketle, işçi ve makine kaynakların verimliliği incelenerek ticari araçların ve konteynerlerin karmaşık yük ve yükleme planları içindeki yüklenme hızını ve çalışan verimliliğini artırmaya yönelik analizler yapılmıştır. Karar destek sistemi (KDS) geliştirilerek, literatüre kazandırılmış uygulama sonuçları örnek vaka halinde sunulmuştur. Yazar Taşıt Koltukları A.Ş. firmasında yapılan incelemeler sonucu; yükleme operasyonları esnasında ek işçi istihdam edilerek lojistik operasyonların hızlandırılmaya çalışıldığı fakat bu durumun emek verimliliğini düşürdüğü, orantısız yüklerin tek seferde konteyner ve diğer araçlara yüklenmesinde ciddi zaman kayıplarının yaşandığı, maliyet verimliliğin düştüğü tespit edilmiştir. Yapılan bu çalışma sonucunda; konteynerler ve diğer taşıyıcı araçlara, orantısız paketli ürünlerin optimum sıra ve hacim ile yerleştirilmesi sağlanmıştır. KDS kullanılarak toplam maliyet verimliliğinde % 76,09’luk bir artış elde edilmiştir. İşgücü verimlilik oranında % 25’lik verimlilik artışı sağlanmıştır. Zaman verimlilik oranında ise % 71,84’lük bir artış elde edilmiştir.

ABSTRACT Recent literature in Systems Engineering has suggested the use of “value” to drive decision-making activities during preliminary design, in particular when choosing technologies and components for a complex system. However, to... more

ABSTRACT Recent literature in Systems Engineering has suggested the use of “value” to drive decision-making activities during preliminary design, in particular when choosing technologies and components for a complex system. However, to correctly evaluate design trade-offs, a visual link has to be established between the results of the value model and a product shape/geometry. This paper proposes the use of color-coded 3D CAD models to support the visualization of value analysis results in a Stage-Gate R � process. The approach has been developed and exemplified within a case study related to the design of an aero-engine component, and has been demonstrated using SIEMENS NX HD3D Visual Reporting. The results of verification activities conducted in a laboratory setting show that the use of color-coded 3D CAD models increases the decision makers’ awareness of value-related information in a Stage-Gate process.

Making design decisions during preliminary design of a complex product, such as an aircraft, is a difficult activity. Numerous teams, acting on a global scale, take part in such design activities, approaching the problem from different... more

Making design decisions during preliminary design of a complex product, such as an aircraft, is a difficult activity. Numerous teams, acting on a global scale, take part in such design activities, approaching the problem from different perspectives and at different levels of granularity. Based on their position in the supply chain, design teams can focus either on the product as a whole, on its service-related aspects, or on the design of specific components of the product itself. The complexity of the design causes design teams to often base decisions on flawed or incomplete information, since stakeholders’ needs and perceptions are difficult to predict and communicate among teams. Such situations make it problematic for the developers to understand which design concept would be the most valuable to develop.
Through collaboration with major European aerospace manufacturers, this research has highlighted the limits of current product development practices in addressing the promotion of more value-oriented design decisions in preliminary design This thesis has investigated the meaning of value in preliminary design decision making and proposed a way forward towards its assessment and communication, introducing a value-oriented perspective to decision-making.
This thesis builds on the Value Driven Design (VDD) concept increasingly discussed in the aerospace industry. VDD, in its original formulation, promotes the use of the mathematical optimization of a value function to select the most valuable design concepts. VDD is debated in literature, and an established VDD theory is not present. Contributing to such debate, this thesis proposes a Value Driven Design methodology for decision making in preliminary design that goes beyond the concept of mathematical optimization of a single value function. It considers the value of a design concept as encompassing stakeholders’ needs that are not always quantitatively quantifiable in a mathematical function, giving up with the idea of obtaining an absolute numerical measurement for value.
The methodology takes the standpoint of an aircraft sub-system manufacturer. It merges concepts available in literature (i.e. Value Creation Strategy, Knowledge Maturity, Customer-Oriented Design Analysis) with the approaches developed from the findings of the empirical study. The methodology is based on correlating value aspects at different supply chain levels, assessing the maturity of the knowledge and computing the value of a design alternative compared to a baseline and a target. The use of colored features in CAD models to enhance the communication of value-related information is also proposed, and preliminary tested.
Finally, guidelines for value assessment and visualization in preliminary design are provided, and the contributions to the VDD field are discussed together with the industrial implications of the methodology.

This paper presents a system proposed for the intelligent management of computer networks. The system is based on the use of Arti cial Intelligence t e chniques | data mining, expert systems and multi-agent systems. The work is based on... more

This paper presents a system proposed for the intelligent management of computer networks. The system is based on the use of Arti cial Intelligence t e chniques | data mining, expert systems and multi-agent systems. The work is based on the following lines of actions: a the use of distributed agents for the intelligent search of information in the network, supplying it in a more abstract way, adapted to the decision-making task; b the use of machine learning and data-mining techniques that, starting from the log les which register previous problems and their solution, allow the use of experience thus obtained in the solution new problems; and c the use of heuristics and conduction rules supplied by experts, through a decision support system, as an advisor element to network operators. This paper presents a discussion about the techniques employed along these three r esearch lines and the results already obtained.

To design a medical decision support system (MDSS) that would accurately predict the rehabilitation protocols prescribed by the physicians for patients with knee osteoarthritis (OA) using only their demographic and clinical... more

To design a medical decision support system (MDSS) that would accurately predict the rehabilitation protocols prescribed by the physicians for patients with knee osteoarthritis (OA) using only their demographic and clinical characteristics. The demographic and clinical variables for 170 patients receiving one of three treatment protocols for knee OA were entered into the MDSS. Demographic variables in the model were age and sex. Clinical variables entered into the model were height, weight, BMI, affected side, severity of knee OA, and severity of pain. All patients in the study received one of three treatment protocols for patients with knee OA: (a) hot packs, followed by electrotherapy and exercise, (b) ice packs, followed by ultrasound and exercise and (c) exercise alone. The resilient back propagation artificial neural network algorithm was used, with a ten-fold cross-validation. It was estimated that the MDSS is able to accurately predict the treatment prescribed by the physician for 87% of the patients. We developed an artificial neural network-based decision support system that can viably aid physicians in determining which treatment protocol would best match the anthropometric and clinical characteristics of patients with knee OA. Ziel der vorliegenden Studie war die Konzipierung eines Systems zur Unterstü tzung von medizinischen Entscheidungen (MDSS), das Ä rzten die akkurate Prognose der bei Patienten mit Gonarthrose verordneten Rehabilitation nur anhand ihrer demographischen und klinischen Eigenschaften erlaubt. Die demographischen und klinischen Variablen von 170 Patienten, die eine von drei Behandlungen fü r die Gonarthrose erhielten, wurden in das MDSS ü bertragen. Die demographischen Variablen in dem Modell waren Alter und Geschlecht. Die in das Modell ü bertragenen klinischen Variablen waren Kö rpergrö ße, Kö rpergewicht, BMI, betroffene Seite, Schweregrad der Gonarthrose und Schweregrad der Schmerzen. Alle Studienteilnehmer erhielten eine von drei Behandlungen fü r Patienten mit Gonarthrose: (a) Wä rmebehandlung, gefolgt von Elektrotherapie und Krankengymnastik, (b) Kä lte-Sofortkompressen, gefolgt von Ultraschall und Krankengymnastik, und (c) Krankengymnastik als Monotherapie. Angewandt wurde ein kü nstliches neuronales Netz auf der Basis des belastbaren Backpropagation-Algorithmus mit einer zehnfachen Kreuzvalidierung. Schä tzungen zufolge kann das MDSS die ä rztlich verordnete Therapie bei 87% der

Business process simulation is a versatile technique to estimate the performance of a process under multiple scenarios. This, in turn, allows analysts to compare alternative options to improve a business process. A common roadblock for... more

Business process simulation is a versatile technique to estimate the performance of a process under multiple scenarios. This, in turn, allows analysts to compare alternative options to improve a business process. A common roadblock for business process simulation is that constructing accurate simulation models is cumbersome and error-prone. Modern information systems store detailed execution logs of the business processes they support. Previous work has shown that these logs can be used to discover simulation models. However, existing methods for log-based discovery of simulation models do not seek to optimize the accuracy of the resulting models. Instead they leave it to the user to manually tune the simulation model to achieve the desired level of accuracy. This article presents an accuracy-optimized method to discover business process simulation models from execution logs. The method decomposes the problem into a series of steps with associated configuration parameters. A hyper-parameter optimization method is used to search through the space of possible configurations so as to maximize the similarity between the behavior of the simulation model and the behavior observed in the log. The method has been implemented as a tool and evaluated using logs from different domains.

Critical decisions for crisis management: An introduction By Mario COCCIA a † Abstract. In the presence of crisis, such as global COVID-19 pandemic crisis, governments have more and more take critical decisions to cope with consequential... more

Critical decisions for crisis management: An introduction By Mario COCCIA a † Abstract. In the presence of crisis, such as global COVID-19 pandemic crisis, governments have more and more take critical decisions to cope with consequential environmental threats in the presence of highly restricted time. This chapter provides a simple description of techniques of decision making in different environments/conditionsof crisis management and how that process is influenced by manifold social, economic and/or technical factors; ultimately it is presented how the approach of improvisation can support the process of decision-makingto cope with unforeseen and new events, rapid changes, turbulent environment and/or specific situations of emergency.

Modern decision support systems (DSS) not only store large amounts of decision-relevant data, but also aim at assisting decision-makers to explore the meaning of that data, and to take decisions based on understanding. In transportation... more

Modern decision support systems (DSS) not only store large amounts of decision-relevant data, but also aim at assisting decision-makers to explore the meaning of that data, and to take decisions based on understanding. In transportation domains, a multiagent approach to the construction of DSS is becoming increasingly popular, because it does not only reduce design complexity, but it also adequately supports a dialogue-based stance on decision support interactions. However, despite recent advances in the field of agent-oriented software engineering, a principled approach to the design of multiagent systems for decision support is still to come. In this paper, we outline a design method for the construction of agent-based DSS. Setting out from an organisational and communicative model of decision support environments, we present an abstract

The Philippines is a country that is both largely dependent on marine resources for its people's socio-cultural and economic activities, yet also highly vulnerable to extreme weather events caused by climate change. Recognizing this,... more

The Philippines is a country that is both largely dependent on marine resources for its people's socio-cultural and economic activities, yet also highly vulnerable to extreme weather events caused by climate change. Recognizing this, a Climate Change Adaptation Project, with support from the Norwegian Trust Fund, studied three coastal communities in three (3) different provinces in the Bicol region, widely known to lie in the so-called 'Philippine typhoon belt'. The project sought to establish a community-based adaptation strategy in pilot sites by providing guidance on setting appropriate policies, climate proofing livelihoods with adaptation measures, and institutionalizing science-based-decision support systems. The project also sought to develop a replicable template that can be used by and adapted to all other similar sites in the Philippines. The project had four major components: (1) policy and legislation, (2) vulnerability assessment, (3) bio-physical adaptation...

Forecasting is an important activity in economics, finance, marketing and various other domains like environmental and social sciences. There are several methods for making forecasts, but they all fall into two categories: causal methods... more

Forecasting is an important activity in economics, finance, marketing and various other domains like environmental and social sciences. There are several methods for making forecasts, but they all fall into two categories: causal methods and time series methods. In many cases, predictive algorithms implementing time series are good candidates for forecasting. In this paper we run a comparative study of three of these algorithms: Linear Regression, Support Vector Machines and Multilayer Perceptron in order to determine their performances in term of implementing times series for predictive systems. To assess the performance of these algorithms, we have conducted experiments over four representative datasets. The results exhibit that linear regression produced the best forecasts. The other two algorithms show a good behavior as well.

In augmented reality (AR) systems using headmounted displays (HMD's), it is important to accurately sense the position and orientation (pose) of the user's head with respect to the world, in order that graphical overlays are drawn... more

In augmented reality (AR) systems using headmounted displays (HMD's), it is important to accurately sense the position and orientation (pose) of the user's head with respect to the world, in order that graphical overlays are drawn correctly aligned with real world objects. It is desired to maintain registration dynamically (while the person is moving their head) so that the graphical objects will not appear to lag behind, or swim around, the corresponding real objects. We present an adaptive method for achieving dynamic registration which accounts for variations in the magnitude of the users head motion, based on a multiple model approach. This approach uses the extended Kalman filter to smooth sensor data and estimate position and orientation.

The basis of decision-making in the enterprise consists in formally representing the system and its subsystems in models which adequately capture those features which are necessary to reach consistent decisions. This work represents the... more

The basis of decision-making in the enterprise consists in formally representing the system and its subsystems in models which adequately capture those features which are necessary to reach consistent decisions. This work represents the elements of the enterprise which are included in mathematical models (i.e. decisions, parameters, constraints, performance indicators) in an ontology which captures the knowledge of the mathematical domain. Thus, this ontology relates the mathematical elements of the models to their corresponding semantic representation within the enterprise ontology. As a result, the mathematical symbolic abstractions of a given enterprise element in different models are directly linked to their actual unique meaning, and the integration of decisions in the enterprise is transparent and improved. The purpose of this work is illustrated in a case study related to capacity planning in the supply chain and scheduling problems.

Cyber-physical systems, and the intelligent decision support systems that they enable, carry the promise of greater efficacy in environmental management. The complexity of the physical infrastructure subject to decisions by environmental... more

Cyber-physical systems, and the intelligent decision support systems that they enable, carry the promise of greater efficacy in environmental management. The complexity of the physical infrastructure subject to decisions by environmental management systems is often an impediment to this efficacy. Other challenges include fundamental differences in the operation of cyber and physical components, and significant interdependency among the cyber components that facilitate decision support and the physical components they control. The agentbased computing paradigm is proposed for surmounting these challenges, due to the flexibility of software agents as autonomous and intelligent decision-making components. In this paper, we utilize an agent-based system to illustrate the application of game theory to decision support for environmental management, in the context of intelligent water distribution. Simulation results are presented to validate the model proposed, and to investigate the effect of various model parameters on water allocation.

AI concepts and technologies can assist engineers in safety management by providing new software components to the existing information systems, such as real-time interpretation systems linked to the data acquisition units, qualitative... more

AI concepts and technologies can assist engineers in safety management by providing new software components to the existing information systems, such as real-time interpretation systems linked to the data acquisition units, qualitative models, and reasoning agents supporting the off-line management of information and interpretation.
In this article, we describe four decision - support systems that use such concepts and technologies to better manage the safety of civil engineering structures. During the last six years, the software development unit of ISMES -an R &D company involved in structural and mechanical engineering, environmental and land -use engineering, and information and communication technologies -has focused on AI applications to structural safety. We have addressed two main problems: the safety management of dams and monuments and the seismic risk assessment of buildings.
This led to the development of the four systems: Mistral, Damsafe, Kaleidos, and Igor.
We exploit AI tools for designing intelligent modules of our support systems, including causal networks of processes, qualitative modeling, model -based reasoning, and hierarchical object-oriented representations.
The systems also employ AI techniques such as rule -based systems, pattern matching, and neural networks, in conjunction with conventional techniques, to implement these representation and reasoning schemes.

Determination of the committee position an event during this time has been determined by the authorities in an organization. However, the positioning sometimes falls to the same person with the same position. This is certainly a form of... more

Determination of the committee position an event during this time has been determined by the authorities in an organization. However, the positioning sometimes falls to the same person with the same position. This is certainly a form of injustice in the positioning. Linear Congruential Generator or LCG is one of the methods of Random Number Generator. With this Algorithm the position can be randomized so that the same person does not occupy the same position for the second time so justice can be realized. Keywords: Algorithm, Position, Organization, LCG, Justice

The disruption caused due to the current pandemic situation in the areas of supply chains, tourism, aviation, hospitality, sports and fashion is enormous. This effect is more visible in manufacturing sector especially in fashion, appeal... more

The disruption caused due to the current pandemic situation in the areas of supply chains, tourism, aviation, hospitality, sports and fashion is enormous. This effect is more visible in manufacturing sector especially in fashion, appeal and garment industry. This resulted in the companies emphasizing on the effective utilization of resources and enhanced productivity. Although, the concept of lean manufacturing, value stream mapping (VSM), Jidoka, Kaizen, 5S, Kanban, Poka Yoke, line balancing and many more are available in the literature, that can enhance productivity, the incorporation of data analytics and software-based simulations as a method to support decision making in real time production activity to enhance productivity is the need of the hour. The aim of the research paper is to develop a framework of model driven decision support system (MD-DSS) where real time data is fed to the system and data simulation and communication technologies help in improving the productivity of the manufacturing process. An empirical study was conducted at AL Apparel Manufacturing PLC, Addis Ababa (Ethiopia) garment manufacturing facility to demonstrate the proposed model. Data is collected through observations, document studies, and time study measurements for skimmer trouser having 34 operations. The assembly line is balanced using discrete event Arena simulation program. The results indicated that the proposed model has high line efficiency and increased productivity.

Internet and mobile technologies have significantly influenced the people in this century. This paper investigates on how to promote the local tourism sector that matches with the changing customer behavior of tourists in ICTs... more

Internet and mobile technologies have significantly influenced the people in this century. This paper investigates on how to promote the local tourism sector that matches with the changing customer behavior of tourists in ICTs generations. The study shows the ICTs system that is designed for sharing and accessing the points of interest or tourist destination for local tourism and business sector, known as the "Opened Pins Recommendation System". The results show that there are positive user's satisfactions of the system design and a prototyping on the tourist users and local tourism sector.

Under circumstances where data quality may vary (due t o inaccuracies or lack of timeliness, for example), knowledge about the potential performance of alternate predictive models can help a decision maker t o design a business... more

Under circumstances where data quality may vary (due t o inaccuracies or lack of timeliness, for example), knowledge about the potential performance of alternate predictive models can help a decision maker t o design a business value-maximizing information system. This paper examines a realworld example from the field of finance t o illustrate a comparison of alternative modeling tools. T w o modeling alternatives are used in this example: regression analysis and neural network analysis. There are t w o main results: (1) Linear regression outperformed neural nets in terms of forecasting accuracy, but the opposite was true when w e considered the business value of the forecast. (2) Neural netbased forecasts tended t o be more robust than linear regression forecasts as data accuracy degraded. Managerial implications for financial risk management of MBS portfolios are drawn from the results.

The selection and scheduling of a portfolio of projects is a task frequently found among the strategical activities performed by management staff in several industries. When choosing a project to be selected and scheduled into a... more

The selection and scheduling of a portfolio of projects is a task frequently found among the strategical activities performed by management staff in several industries. When choosing a project to be selected and scheduled into a portfolio, managers have to deal with conflicting criteria, resource constraints, distinct scenarios, and changes during the planning and execution phases. In this work, we describe the functionalities of a decision support system (DSS) prototype designed to help managers make better decisions, when constructing a portfolio of projects. The DSS software was developed to solve portfolio selection problems originating at a large corporation in the power generation industry. It implements a heuristic algorithm, which finds solutions at least 10% better than a manually produced solution for a real-world input instance.

ABSTRAK Sulitnya memilih tempat servis komputer di Bandar Lampung dikarenakan banyaknya tempat servis yang ada, perbandingan harga dan lamanya proses servis yang ditawarkan pada setiap tempat servis berbeda-beda. Hal ini menyulitkan... more

ABSTRAK Sulitnya memilih tempat servis komputer di Bandar Lampung dikarenakan banyaknya tempat servis yang ada, perbandingan harga dan lamanya proses servis yang ditawarkan pada setiap tempat servis berbeda-beda. Hal ini menyulitkan masyarakat dalam memilih tempat servis yang akan dipilih sebagai alternatif, untuk menyelesaikan masalah tersebuat maka perlu dirancang sebuah sistem pendukung keputusan yang dapat membantu masyarakat untuk memilih tempat servis komputer. Pada proses pemilihan tempat servis komputer melibatkan berbagai kriteria yang dinilai (bersifat multi kriteria) dengan merapkan metode Analytical Hierarchy Process (AHP). AHP memiliki keunggulan peralatan utama yaitu sebuah hirarki fungsional, dengan hirarki suatu masalah yang kompleks dapat diuraikan kedalam kelompok yang kemudian diatur menjadi suatu hirarki sehingga masalah dapat terstruktur dengan menggunakan kriteria harga, keramahan, fasilitas ruang tunggu, ketepatan waktu pengerjaan, garansi, jarak, kelengkapan jasa, respon / kecepatan tanggap, dan keamanan barang dan dengan 10 alternatif yaitu AsaCom, Basiccom, Laptop Lampung, SuryaCom, Slara Komputer, RR Komputer, Arthabella Komputer, Cahaya Komputer, Indohanif dan Sumber Komputer. Extreme programming digunakan sebagai metode pengembangan sistem meliputi planning, design, coding dan testing yang akan di uji dengan uji fungsionalitas (Black Box) dan uji kelayakan sistem. Hasil penelitian menunjukan alternatif terbaik adalah Asacom dengan total skor 7.5204.

Implementing information management system is still a challenging task for any organization. A lot of surveys are conducted to find out the root causes of implementation problems and propose new methods that can improve and simplify this... more

Implementing information management system is still a challenging task for any organization. A lot of surveys are conducted to find out the root causes of implementation problems and propose new methods that can improve and simplify this process. In this paper we suggest using an ontology-based decision support system to avoid some implementation challenges.

Trading decisions in financial markets can be supported by the use of online algorithms. We evaluate the empirical performance of a threat-based online algorithm and compare it to a reservation price algorithm, an average price algorithm... more

Trading decisions in financial markets can be supported by the use of online algorithms. We evaluate the empirical performance of a threat-based online algorithm and compare it to a reservation price algorithm, an average price algorithm and to buy-and-hold. The algorithms are analyzed from a worst case and an empirical case point of view. The effectiveness of the algorithms is analyzed with historical DAX-30 prices for the years 1998 to 2007. The performance of the threat-based algorithm found in the simulation runs dominates all other investigated algorithms. We also compare its performance to results from worst case analysis and conduct a t-test.

 Abstract—The objective of this research was to develop a decision support system (DSS) for increasing sustainable productivity on fishery agro industry supply chain management. The DSS is able to provide information and decision... more

 Abstract—The objective of this research was to develop a decision support system (DSS) for increasing sustainable productivity on fishery agro industry supply chain management. The DSS is able to provide information and decision alternatives to all stakeholders related to catching business, added value, agro industry performance and sustainable fishery analysis in Southeast Maluku District, Indonesia. Stock prediction model measured value of C MSY and E MSY with equilibrium Schaefer as indicator of surplus production. Added value analysis model used to measure added value with profit margin. Agro industry performance analysis model used to measure performance of Agro industry with Balanced Scorecard (BSC). Company vision and strategy derived and operationalized into four different perspectives: financial, customer, internal business process, and learning and growth. Business sustainability was analysed with Multi dimensional Scaling (MDS) method. Stock prediction model showed that catching business in Southeast Maluku District was still below sustainable maximum level. Added value analysis showed that the added value was very low. Analysis on agro industry performance showed that financial perspective has greatest achievement performance index. Sustainability model used three dimensional aspects, i.e. ecological, social, and economic. Evaluation result showed that values of all the three dimensions were still at less sustainable level.

While research has shown that argument based systems (ABSs) can be used to improve aspects of individual thinking and learning, relatively few studies have shown that ABSs improve decision performance in real world tasks. In this article,... more

While research has shown that argument based systems (ABSs) can be used to improve aspects of individual thinking and learning, relatively few studies have shown that ABSs improve decision performance in real world tasks. In this article, we strive to improve the value-proposition of ABSs for decision makers by showing that individuals can, with minimal training, use a novel ABS called Pendo to improve their ability to predict housing market trends. Pendo helps to weight and aggregate evidence through a computational engine to support evidence-based reasoning, a well-documented deficiency in human decision-making. It also supports individuals in the creation of knowledge artifacts that can be used to solve similar problems in the same domain. An unexpected finding and one of the major contributions of this work is that individual unaided decisionmaking performance was not predictive of an individual's performance with Pendo, even though the average performance of assisted individuals was higher. We infer that the skills activated when using the tool are substantially different than those enacted to solve the same problem without that tool. We discuss the implications this result has for the design and application of ABSs to decision-making, and possibly other decision support technologies.

Much effort has been made to provide a Cloud Computing (CC) autonomic management. Thus, related works are discussed and the need of a full autonomic model with stakeholders is presented. Moreover, this paper introduces a full model of... more

Much effort has been made to provide a Cloud Computing (CC) autonomic management. Thus, related works are discussed and the need of a full autonomic model with stakeholders is presented. Moreover, this paper introduces a full model of cloud environment to support decision making in autonomic systems. This model is based on an economic utility view of cloud computing, control theory and autonomic computing. It innovates by introducing the concept of conjuncture and imaginary elements (essential elements to forecast and to a non-stationary model). Mathematical modeling is used to formally define a model and a model implementation overview is given.

Hospital Information System (HIS) is an integrated Information System (IS) designed to enhance clinical, financial and administrative functions of a hospital. HIS is vital to the healthcare sector especially in public hospitals as they... more

Hospital Information System (HIS) is an integrated Information System (IS) designed to enhance clinical, financial and administrative functions of a hospital. HIS is vital to the healthcare sector especially in public hospitals as they need to serve the public with high-quality healthcare services. Therefore, it is important to investigate the adoption of HIS in public hospitals. The aim of this study is to provide a literature review of adoption theories (Technology Organization Environment Framework, Institutional Theory and Human Organization Technology Fit Model) in IS domains and potential factors that influencing adoption of HIS framework in public hospitals with emphasis on organizational context perspective.

Public reporting burden for this collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and... more

Public reporting burden for this collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing this collection of information. Send comments regarding this burden estimate or any other aspect of this collection of information, including suggestions for reducing this burden to Department of Defense, Washington Headquarters Services, Directorate for Information Operations and Reports (0704-0188), 1215 Jefferson Davis Highway, Suite 1204, Arlington, VA 22202-4302. Respondents should be aware that notwithstanding any other provision of law, no person shall be subject to any penalty for failing to comply with a collection of information if it does not display a currently valid OMB control number. PLEASE DO NOT RETURN YOUR FORM TO THE ABOVE ADDRESS.

This paper develops an economic model that captures consumer shopping channel choices based on shopping channel characteristics and consumer risk profiles-risk-neutral or risk-averse. Analyses of results show that after making purchases... more

This paper develops an economic model that captures consumer shopping channel choices based on shopping channel characteristics and consumer risk profiles-risk-neutral or risk-averse. Analyses of results show that after making purchases through one channel, electronic or traditional, risk-averse consumers tend to be more loyal customers than risk-neutral consumers. Further, the two types of consumers may exhibit split channel behavior-risk-neutral consumers prefer one channel and risk-averse consumers prefer the other. However, risk-neutral consumers are not always more likely to prefer electronic channel than risk-averse consumers. Implications for retailer pricing strategies are discussed. D

Ontology-based approaches may be tried in e-health scenario to solve some of the interoperability problems that are non-trivial, for e.g. 'Anemometer' and 'Sphygmomanometer' are two different terms but represent the blood pressure monitor... more

Ontology-based approaches may be tried in e-health scenario to solve some of the interoperability problems that are non-trivial, for e.g. 'Anemometer' and 'Sphygmomanometer' are two different terms but represent the blood pressure monitor in Europe and India, respectively. The semantic interoperability issue arises when similar things are meant differently to the remotely sitting agents. Given such scenario, this paper aims to describe a framework that combines A) dialogue game with B) a decision support system (DSS) leading to resolution of such types of ontological mismatches. Under 'Dialogue game' argumentation mechanisms are used for resolving certain types of ontological mismatches. While, the DSS decides on the initiation, termination, structuring and sequencing the dialogues, as these may not be properly adjudged by the 'Dialogue game'. The framework is therefore context driven in nature, where concepts can be substituted with the similar kind of concepts (may not be accurate by searching and choosing equivalent concepts. Such framework therefore offers potential for dynamic modification of participating Ontologies and provides explanation in context of diet management in diabetes with time in a more matured way.

Many new demand response strategies are emerging for energy management in smart grids. Real-Time Energy Pricing (RTP) is one important aspect of consumer Demand Side Management (DSM), which encourages consumers to participate in load... more

Many new demand response strategies are emerging for energy management in smart grids. Real-Time Energy Pricing (RTP) is one important aspect of consumer Demand Side Management (DSM), which encourages consumers to participate in load scheduling. This can help reduce peak demand and improve power system efficiency. The use of Intelligent Decision Support Systems (IDSSs) for load scheduling has become necessary in order to enable consumers to respond to the changing economic value of energy across different hours of the day. The type of scheduling problem encountered by a consumer IDSS is typically NP-hard, which warrants the search for good heuristics with efficient computational performance and ease of implementation. This paper presents an extensive evaluation of a heuristic scheduling algorithm for use in a consumer IDSS. A generic cost model for hourly pricing is utilized, which can be configured for traditional on/off peak pricing, RTP, Time of Use Pricing (TOUP), Two-Tier Pricing (2TP) and combinations thereof. The heuristic greedily schedules controllable appliances to minimize smart appliance energy costs and has a polynomial worst-case computation time. Extensive computational experiments demonstrate the effectiveness of the algorithm and the obtained results indicate the gaps between the optimal achievable costs are negligible.

Aquaculture is globally the fastest growing primary industry (>6% per annum). Smart-farming, using sentinel animals equipped with miniature biosensors alongside environmental sensors and farm management systems has the potential to... more

Aquaculture is globally the fastest growing primary industry (>6% per annum). Smart-farming, using sentinel animals equipped with miniature biosensors alongside environmental sensors and farm management systems has the potential to revolutionize all sectors of the industry. Real-time animal and environmental monitoring together, will support improved farm management decisions, animal welfare, social awareness and consequently sustainable productivity. Biosensors that monitor the physiology and behavior of sentinel animals provide information on animal well-being and its responses to environmental change and management actions. In turn, this information is extrapolated to help with stock management decisions. This paper introduces the sentinel animal concept to commercial aquaculture with a case study using oysters fitted with biosensors that measure heart rate, and other parameters. We demonstrate how sentinel animals can be effectively integrated alongside environmental sensors ...

In order to compete favorably in the world markets, it is essential for a company to have an efficient and flexible manufacturing system, capable of producing quality products with low costs and reacting quickly to the changes in consumer... more

In order to compete favorably in the world markets, it is essential for a company to have an efficient and flexible manufacturing system, capable of producing quality products with low costs and reacting quickly to the changes in consumer demand. Factory automation (FA) (a very popular term in Japan and virtually synonymous with computer integrated manufacturing (CIM)) has been recognized as a promising approach for companies to become more competitive. Currently, the United States may still lead the world in developing automation technologies; however, Japan has been more successful in implementing them. If factory automation holds the key to the revival of American industrial competitiveness, why has there been a lack of actual implementation? To answer this question, it is beneficial to explore the approaches that Japanese companies have employed to implement factory automation. The main objective of this paper is to report the findings of a research study that investigates the practical experience that Japanese industries have accumulated concerning the implementation of factory automation.

In a crowded environment, people counting decision support system is a very useful system for counting the number of people. Measuring persons are very difficult due to the limited identification of body parts due to overlapping. The... more

In a crowded environment, people counting decision support system is a very useful system for counting the number of people. Measuring persons are very difficult due to the limited identification of body parts due to overlapping. The authors are proposed a decision support system that provides reliable, real-time performance for the counting of automated people in crowded areas. A solution that suggested is a method of counting by detection based on a system of decision support. A decision-support system is designed to be used in surveillance cameras application scenarios as an autonomous appliance for crowd analysis.

Competitive competition in the service sector employers do make an improvement in serving customer demand. Because in the case of services, customer satisfaction is crucial that the business can survive or not in competition with other... more

Competitive competition in the service sector employers do make an improvement in serving customer demand. Because in the case of services, customer satisfaction is crucial that the business can survive or not in competition with other similar businesses. In services voucher electrically, there have been people who run the business. However, the infrastructure used to tend manually. This will have an impact if the traffic of transactions made high enough. Most of the state of the waiters vouchers electrical services have many used cell phones manually and quite a few are registering more than one voucher distributor electrically to one type of provider. This study designed a system to SMS Gateway Service System for Improving Customer Care Toll On Sale Electric. This system works for diverting the path to the SMS Gateway that contains more than one port. The transfer line at the SMS Gateway of decisions made based on the data processing that takes into account the possibility-the possibility of ports being used so that each transaction can be performed optimally.

We describe a methodology for making the decisions associated with the concurrent engineering of a product and its downstream field support. We adopt, for the overall metrics for evaluating these decisions, long-run system availability... more

We describe a methodology for making the decisions associated with the concurrent engineering of a product and its downstream field support. We adopt, for the overall metrics for evaluating these decisions, long-run system availability and life-cycle cost. The decisions that constitute the concurrent engineering effort can be categorized into three phases: designing the product; designing the manufacturing and logistics systems; and setting operations-control policies for parts production and field support. As an enhancement to well-established methods of coordinating decision makers in concurrent engineering and sharing data across different phases of design and deployment, we have developed a methodology that simultaneously makes the decisions that constitute these phases. This methodology is based on a dynamic programming model of these decisions which is robust and efficient when compared to manual methods of coordinating the concurrent engineering effort. We recommend its use as a decision support mechanism, not as a substitute for interaction among design-team members.