74 research outputs found
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Which is more appropriate: a multi-perspective comparison between systems dynamics and discrete event simulation
System Dynamics (SD) and Discrete Event Simulation (DES) are two established simulation tech-niques for simulating the dynamics of a system. Both have been widely used in modelling business de-cisions. This paper presents meta-comparison between the two approaches based on literature survey. Upon reviewing the existing literature it has been identified that existing comparisons could be classi-fied under three main perspectives: Systems perspective, Problems perspective and Methodology per-spective. The nature of system and nature of problem have been argued as primary factors for decid-ing modelling methodology. Therefore SD and DES comparisons have been classified on the basis of systems, problems and inherent aspects and capabilities of both modelling methods. It has been ar-gued that development of sound models need fit between system, problem and methodology. The suc-cess of model depends on itâs technical soundness as well as itâs successful implementation. In order to develop successful models this vision has been further extended to incorporate stakeholders, re-sources and time
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A hybrid approach to workflow modelling
The increase in Business Process Management projects in the past decade has seen an increase in demand for business process modelling techniques. A rapidly growing aspect of BPM is the use of workflow management systems to automate routine and sequential processes. Workflows tend to move away from traditional definitions of business processes can often be forced to fit a model which does not suit its nature. Existing process modelling tools tend to be biased to either the informational, behavioural or object oriented aspect of the workflow. Because of this, models can often miss important aspects of a workflow. As well as managing the relationship between the types of model it is important to consider who will be using it as process models are useful in various ways. This paper reports on a case study in a manufacturing company where users were surveyed to see which are the notation that are most common in modelling based on two main categories (behavioural and informational). Research outcomes showed that there is no prevailing set of standards used for either of these categories, whilst most user feel the need to use more than one approach to model their system at any given time
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Theory of deferred action: Agent-based simulation model for designing complex adaptive systems
Deferred action is the axiom that agents act in emergent organisation to achieve predetermined goals. Enabling deferred action in designed artificial complex adaptive systems like business organisations and IS is problematical. Emergence is an intractable problem for designers because it cannot be predicted. We develop proof-of-concept, conceptual proto-agent model, of emergent organisation and emergent IS to understand better design principles to enable deferred action as a mechanism for coping with emergence in artefacts. We focus on understanding the effect of emergence when designing artificial complex adaptive systems by developing an exploratory proto-agent model and evaluate its suitability for implementation as agent-based simulation
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Technique for improving care integration models
Recent developments in technologies and improved life style have had a positive impact on prolonging human life contributing to the increasing elderly population. As a consequence, many countries (particularly developed ones) started to experience higher proportions of elderly people (over 65). This has consequently generated the need for care for the elderly that is necessitating the integration of health and social care to accommodate their complex needs. A number of modelling methods have been employed to assist those concerned to cope with health and social care but albeit separately. The literatures so far, identified several techniques that have been employed mostly to model the care integration. However, literatures also suggest that there are some challenges still persist when modelling integrated care. It can be argued that these techniques are not capable of handling the complexities associated with the requirements of integrated systems. This paper attempts to prove the reason why despite the fact that many models of integrated care have been developed, problems are still exist. Based on the literatures, the problems exist due to the unsuitable techniques used to model the IC systems as most of the developed models are using single technique. Therefore, new technique to improve the care integration model is suggested
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Hybrid process modelling within business process management projects
Business Process Management (BPM) is still an important research topic amongst both academics
and businesses. The recent recession has forced businesses to focus on cost control and efficiency
in order to better cope with the economic downturn. Many companies in this situation turn to BPM
software as a means of improving their efficiency and costs by reducing aspects of the business
such as process lead-times and material costs. In order to identify areas of the business and its
processes which require changing the business will most likely adopt a method of modelling their
business processes. Because of the large number of available techniques decision makers usually
struggle to decide the best approach. Recent literature has also pointed out that prevalent
modelling techniques are designed to serve one specific purpose and may not be capable of
modelling the whole picture. The key relationship between the information systems and the human
behaviour is one example of where existing techniques are biased towards opposite ends of the
scale. This paper proposes the use of a hybrid modelling notation composed of multiple existing
notations in order to bridge this. The hybrid notation was applied to a BPM project at a company
in the construction industry and a case study conducted with its users
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Potential applications of simulation modelling techniques in healthcare: lessons learned from aerospace and military
The Aerospace and Military areas are to do with complex missions and situations. Modelling and Simulation (M&S) has been applied in many areas of defence ranging from space sciences, satellite engineering to multi-warfare (air warfare, undersea warfare), air & missile defence, acquisition, tactical military trainings & exercises, national security analysis and strategic decision making & planning, etc. The application of simulation modelling techniques in healthcare would improve the provision of healthcare services; however, their application has been much relatively feeble in the healthcare sector as compared to the defence sector. This paper presents results from a systematic literature survey on applications of modelling simulation techniques in the Aerospace & Military. The knowledge gained or lessons learned from the survey were finally used to analyze the potential applications of the simulation modelling techniques to the healthcare sector. Results show that in the defence sector, Distributed Simulation has now become a widely adopted technique. However, System Dynamics (SD) and Discrete Event Simulation (DSE) have also gained relative attention. From this survey it becomes clear that various simulation modelling techniques are useful for specific purposes and have potential applications in the healthcare sector
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Evaluating telemedicine: A focus on patient pathways
Evaluations of telemedicine have sought to assess various measures of effectiveness (e.g., diagnostic accuracy), efficiency (e.g., cost), and engagement (e.g., patient satisfaction) to determine its success. Few studies, however, have looked at evaluating the organizational impact of telemedicine, which involves technology and process changes that affect the way that it is used and accepted by patients and clinicians alike. This study reviews and discusses the conceptual issues in telemedicine research and proposes a fresh approach for evaluating telemedicine. First, we advance a patient pathway perspective, as most of the existing studies view telemedicine as a support to a singular rather than multiple aspects of a health care process. Second, to conceptualize patient pathways and understand how telemedicine impacts upon them, we propose simulation as a tool to enhance understanding of the traditional and telemedicine patient pathway
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Developing a conceptual model for the internal data source to measure customer satisfaction
Traditional CSM approach is performed at certain frequencies. The gap between such events can be termed as a âblind periodâ, because customer satisfaction is left unobserved and unmanaged. The blind period may sometimes accelerate the growth of customer dissatisfaction. One way to eliminate the impact of the blind period is to reduce the gap between CSM events. The initial assessment indicates that conducting CSM more frequently, may weaken the accuracy of measurement, and increase the cost of the programme. The authors believe that the reason behind these limitations is the use of the external data source, collecting data directly from customer, therefore suggests using the internal data source, as an alternative to measure customer satisfaction. The purpose of this paper is to develop a conceptual model for the internal data source to measure customer satisfaction. To achieve this objective, a conceptual model need to be developed based on three determined steps: define the formation of customer satisfaction value, identify the CSM factors and dimensions, and mirror the CSM instruments to identify the internal performance values. The paper indicates that internal data source could provide researchers with an alternative data source to measure customer satisfaction with minimum limitations on frequency of implementation, accuracy and cost
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Challenges and influential factors in ERP adoption and implementation
The adoption and implementation of Enterprise Resource Planning (ERP) systems is a challenging and expensive task that not only requires rigorous efforts but also demands to have a detailed analysis of such factors that are critical to the adoption or implementation of ERP systems. Many efforts have been made to identify such influential factors for ERP; however, they are not filtered comprehensively in terms of the different perspectives. This paper focuses on the ERP critical success factors from five different perspectives such as: stakeholders; process; technology; organisation; and project. Results from the literature review are presented and 19 such factors are identified that are imperative for a successful ERP implementation, which are listed in order of their importance. Considering these factors can realize several benefits such as reducing costs and saving time or extra effort
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Investigating factors influencing the decision making process for ERP adoption and implementation: An exploratory case study
The rapid developments in Information and Communication Technologies (ICT) have resulted into a borderless business environment along with an amplified market competition. Traversing through such a trend globally, organisations have significantly focused on adopting and implementing Enterprise Resource Planning (ERP) systems to automate their prime business processes, enhance organisational productivity with lower costs and prompt service delivery to fulfil consumer demands. Thus, ERP systems are considered as a principal source to provide imperative information vital for strategic decision making process. On the contrary, ERP systems adoption and implementation is also highly considered as a challenging and expensive process that not only requires rigorous efforts but also demands to have an exhaustive investigation of influential factors that are critical to the adoption and implementation of ERP systems. A plethora of research studies have been theorised exploring factors influencing the decision making process for ERP adoption and implementation; however, the authors claim that these studies are not filtered comprehensively in terms of the different perspectives. Notwithstanding, the implications of such research have yet to be assessed, leaving scope for timeliness and novel research. This paper thus focuses on the ERP critical success factors from five different perspectives such as: stakeholders; process; technology; organisation; and project based on the literature analysis. These perspectives comprise of 24 factors that are imperative for a successful ERP adoption and implementation, which are validated through a qualitative single case study based research. The empirical findings illustrate that these factor help realise significant benefits such as reducing costs and saving time or extra effort
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