Research on IT tools used in flow planning in supply chains

The processes of globalization and increased competitiveness caused that the company have begun to look for solutions and strategies that give opportunities for development and further market expansion. The intensification of competition on the global scale in the 1980s, forced companies to offer low cost, high quality and robust products with greater design flexibility. Various management concepts have been used to improve production efficiency and speed up the cycle. In the 1990s, many manufacturers and service providers began to focus on improving collaboration with suppliers and improving purchasing and supply management. Initially the cooperation was mainly developed in the area of purchasing policies and supply management in factories, but as time went on, it became increasingly popular among wholesalers and retailers who also decided to integrate their transport and logistics functions in a supply chain with a view to gain competitive advantage (Choon T.). The increase in customer requirements with the same pressures to reduce costs and accelerate time service delivery resulted in the growing importance of planning and anticipation of future events. The increasing amount of data makes management depended on systems that allow for rapid decision-making. Apart from ERP systems, which mainly support the management of individual businesses, more and more companies invest in systems APS (Advanced Planning System), which provide  better support in planning processes throughout the supply chain. The aim of the article is to present the idea of advanced supply chain planning, constraints and challenges facing the managing the flow of products and information. The study also addressed the role of Advanced Planning Systems in supply chain management and identify main problems and obstacles that users and decision makers come across while implementing and using IT system

A multi-agent system to support location based group decision making in mobile teams

This paper describes an agent-based approach for developing a location-based asynchronous group decision-support system for mobile teams. The approach maximises the use of reusable service components (GSCmas — generic service component for multi-agent systems) as the main interaction mechanism between agents to allow flexible support of a new group-decision process. The paper describes the architecture of a GSCmas and provides details of how the GSCmas is integrated within a decision support system. Finally a system (mPower) based on the proposed approach is introduced and applied to a location-based group decision problem

Towards the realisation of an integratated decision support environment for organisational decision making

Traditional decision support systems are based on the paradigm of a single decision maker working at a stand‐alone computer or terminal who has a specific decision to make with a specific goal in mind. Organizational decision support systems aim to support decision makers at all levels of an organization (from executive, middle management managers to operators), who have a variety of decisions to make, with different priorities, often in a distributed and dynamic environment. Such systems need to be designed and developed with extra functionality to meet the challenges such as collaborative working. This paper proposes an Integrated Decision Support Environment (IDSE) for organizational decision making. The IDSE distinguishes itself from traditional decision support systems in that it can flexibly configure and re‐configure its functions to support various decision applications. IDSE is an open software platform which allows its users to define their own decision processes and choose their own exiting decision tools to be integrated into the platform. The IDSE is designed and developed based on distributed client/server networking, with a multi‐tier integration framework for consistent information exchange and sharing, seamless process co‐ordination and synchronisation, and quick access to packaged and legacy systems. The prototype of the IDSE demonstrates good performance in agile response to fast changing decision situations

The nursing contribution to chronic disease management: a whole systems approach: Report for the National Institute for Health Research Service Delivery and Organisation programme

Background Transforming the delivery of care for people with Long Term Conditions (LTCs) requires understanding about how health care policies in England and historical patterns of service delivery have led to different models of chronic disease management (CDM). It is also essential in this transformation to analyse and critique the models that have emerged to provide a more detailed evidence base for future decision making and better patient care. Nurses have made, and continue to make, a particular contribution to the management of chronic diseases. In the context of this study, there is a particular focus on the origins of each CDM model examined, the processes by which nursing care is developed, sustained and mainstreamed, and the outcomes of each case study as experienced by service users and carers. Aims To explore, identify and characterise the origins, processes and outcomes of effective CDM models and the nursing contribution to such models using a whole systems approach Methods The study was divided into three phases: Phase 1: Systematic mapping of published and web-based literature. Phase 2: A consensus conference of nurses working within CDM. Sampling criteria were derived from the conference and selected nurses attended a follow up workshop where case study sites were identified. Phase 3: Multiple case study evaluation Sample: 7 case studies representing 4 CDM models. These were: i) public health nursing model; ii) primary care nursing model; iii) condition specific nurse specialist model; iv) community matron model. Methods: Evaluative case study design with the unit of analysis the CDM model (Yin, 2003): • semi-structured interviews with practitioners, patients, their carers, managers and commissioners • documentary analysis • psycho-social and clinical outcome data from specific conditions • children and young people: focus groups, age-specific survey tools. Benchmarking outcomes: Adults benchmarked against the Health Outcomes Data Repository (HODaR) dataset (Currie et al, 2005). Young people were benchmarked against the Health Behaviour of School aged Children Survey (Currie et al, 2008). Cost analysis: Due to limitations in the available data, a simple costing exercise was undertaken to ascertain the per patient cost of the nurse contribution to CDM in each of the models, and to explore patterns of health and social care utilisation. Analysis: A whole system methodology was used to establish the principles of CDM. i) The causal system is a “network of causal relationships” and focuses on long term trends and processes. ii) The data system recognises that for many important areas there is very little data. Where a particular explanatory factor is important but precise data are lacking, a range of methods should be employed to illuminate each factor as much as possible. iii) The organisational whole system emphasises how various parts of the health and social care system function together as a single system rather than as parallel systems. iv) The patient experience recognises that the whole system comes together and is embodied in the experience of each patient. Key findings While all the models strove to be patient centred in their implementation, all were linked at a causal level to disease centric principles of care which dominated the patient experience. Public Health Model • The users (both parents and children) experienced a well organised and coordinated service that is crossing health and education sectors. • The lead school nurse has provided a vision for asthma management in school-aged children. This has led to the implementation of the school asthma strategy, and the ensuing impacts including growing awareness, prevention of hospital admissions, confidence in schools about asthma management and healthier children. Primary Care Model • GP practices are providing planned and routine management of chronic disease, tending to focus on single diseases treated in isolation. Care is geared to the needs of the uncomplicated stable patient. • More complex cases tend to be escalated to secondary care where they may remain even after the patient has stabilised. • Patients with multiple diagnoses continue to experience difficulty in accessing services or practice that is designed to provide a coherent response to the idiosyncratic range of diseases with which they present. This is as true for secondary care as for primary care. • While the QOF system has clearly been instrumental in developing and sustaining a primary care nursing model of CDM, it has also limited the scope of the model to single diseases recordable on a register, rather than focus on patient centred care needs. Nurse Specialist Model • The model works under a disease focused system underpinned by evidence based medicine exemplified by NICE guidelines and NSF’s. • The model follows a template drawn from medicine and sustainability is significantly dependent on the championship and protectionism offered by senior medical clinicians. • A focus on self-management in LTCs gives particular impetus to nurse-led enablement of self-management. • The shift of LTC services from secondary care to primary care has often not been accompanied by a shift in expertise. Community Matron Model • The community matron model was distinctive in that it had been implemented as a top down initiative. • The model has been championed by the community matrons themselves, and the pressure to deliver observable results such as hospital admission reductions has been significant. • This model was the only one that consistently resulted in open access (albeit not 24 hours) and first point of contact for patients for the management of their ongoing condition. Survey Findings Compared to patients from our case studies those within HODaR visited the GP, practice nurse or NHS walk-in centres more, but had less home visits from nurses or social services within the six weeks prior to survey. HODaR patients also took significantly more time off work and away from normal activities, and needed more care from friends/ relatives than patients from our study within the last six weeks. The differences between the HODaR and case study patients in service use cannot easily be explained but it could be speculated when referring to the qualitative data that the case study patients are benefiting from nurse-led care. Cost analysis – The nurse costs per patient are at least ten times higher for community matrons conducting CDM than for nurses working in other CDM models. The pattern of service utilisation is consistent with the focus of the community matron role to provide intensive input to vulnerable patients. Conclusions Nurses are spearheading the kind of approaches at the heart of current health policies (Department of Health, 2008a). However, tensions in health policy and inherent contradictions in the context of health care delivery are hampering the implementation of CDM models and limiting the contribution nurses are able to make to CDM. These include: ? data systems that were incompatible and recorded patients as a disease entity ? QOF reinforced a disease centric approach ? practice based commissioning was resulting in increasing difficulties in cross health sector working in some sites ? the value of the public health model may not be captured in evaluation tools which focus on the individual patient experience. Recommendations Commissioners and providers 1. Disseminate new roles and innovations and articulate how the role or service fits and enhances existing provision. 2. Promote the role of the nurses in LTC management to patients and the wider community. 3. Actively engage with service users in shaping LTC services to meet patients’ needs. 4. Improve the support and supervision for nurses working within new roles. 5. Develop training and skills of nurses working in the community to enable them to take a more central role in LTC management. 6. Develop organisations that are enabling of innovation and actively seek funding for initiatives that provide an environment where nurses can reach their potential in improving LTC services. 7. Work towards data systems that are compatible between sectors and groups of professionals. Explore ways of enabling patients to access data and information systems for test results and latest information. 8. Promote horizontal as well as vertical integration of LTC services. Practitioners 1. Increase awareness of patient identified needs through active engagement with the service user. 2. Work to develop appropriate measures of nursing outcomes in LTC management including not only bureaucratic and physiological outcomes, but patient-identified outcomes. Implications of research findings 1. Investment should be made into changing patient perceptions about the traditional division of labour, the nurses’ role and skills, and the expertise available in primary care for CDM. 2. Development and evaluation of patient accessible websites where patients can access a range of information, their latest test results and ways of interpreting these. 3. Long-term funding of prospective evaluations to enable identification of CDM outcomes. 4. Mapping of patient experience and patient satisfaction so that the conceptual differences between these two related ideas can be demonstrated. 5. Development of appropriate measures of patient experience that can be used as part of the quality outcome measures. 6. Cost evaluation/effectiveness studies carried out over time that includes national quality outcome indicators and valid measures of patient experience. 7. The importance of whole system working needs to be identified in the planning of services. 8. Research into the role of the health visitor in chronic disease management within a public health model

Strengthening America's Best Idea: An Independent Review of the National Park Service's Natural Resource Stewardship and Science Directorate

NRSS requested that an independent panel of the National Academy conduct a review of its effectiveness in five core functions, its relationships with key internal stakeholders, and its performance measurement system. Among other things, the National Park Service's Natural Resource Stewardship and Science Directorate (NRSS) is responsible for providing usable natural and social science information throughout the National Park Service (NPS). NRSS leadership requested this review of the directorate's performance on five core functions, its relationships with key internal NPS stakeholders, and its performance measurement system.Main FindingsThe panel determined that NRSS is a highly regarded organization that provides independent, credible scientific expertise and technical information. The panel also found that NRSS and NPS have additional opportunities to advance natural resource stewardship throughout the Service. If implemented, the panel's eight major recommendations will: (1) help the Service respond to the parks' environmental challenges while raising public awareness about the condition of these special places; (2) strengthen NRSS as an organization; (3) promote scientifically based decision-making at the national, regional, and park levels; and (4) improve the existing performance measurement system

Designing IS service strategy: an information acceleration approach

Information technology-based innovation involves considerable risk that requires insight and foresight. Yet, our understanding of how managers develop the insight to support new breakthrough applications is limited and remains obscured by high levels of technical and market uncertainty. This paper applies a new experimental method based on “discrete choice analysis” and “information acceleration” to directly examine how decisions are made in a way that is behaviourally sound. The method is highly applicable to information systems researchers because it provides relative importance measures on a common scale, greater control over alternate explanations and stronger evidence of causality. The practical implications are that information acceleration reduces the levels of uncertainty and generates a more accurate rationale for IS service strategy decisions

An appraisal of secure, wireless grid-enabled data warehousing

In most research, appropriate collections of data play a significant role in aiding decision-making processes. This is more critical if the data is being accessed across organisational barriers. Further, for the data to be mined and analysed efficiently, to aid decision-making processes, it must be harnessed in a suitably-structured fashion. There is, for example, a need to perform diverse data analyses and interpretation of structured (non-personal) HIV/AIDS patient-data from various quarters in South Africa. Although this data does exist, to some extent, it is autonomously owned and stored in disparate data storages, and not readily available to all interested parties. In order to put this data to meaningful use, it is imperative to integrate and store this data in a manner in which it can be better utilized by all those involved in the ontological field. This implies integration of (and hence, interoperability), and appropriate accessibility to, the information systems of the autonomous organizations providing data and data-processing. This is a typical problem-scenario for a Virtual Inter-Organisational Information System (VIOIS), proposed in this study. The VIOIS envisaged is a hypothetical, secure, Wireless Grid-enabled Data Warehouse (WGDW) that enables IOIS interaction, such as the storage and processing of HIV/AIDS patient-data to be utilized for HIV/AIDS-specific research. The proposed WDGW offers a methodical approach for arriving at such a collaborative (HIV/AIDS research) integrated system. The proposed WDGW is virtual community that consists mainly of data-providers, service-providers and information-consumers. The WGDW-basis resulted from systematic literaturesurvey that covered a variety of technologies and standards that support datastorage, data-management, computation and connectivity between virtual community members in Grid computing contexts. A Grid computing paradigm is proposed for data-storage, data management and computation in the WGDW. Informational or analytical processing will be enabled through data warehousing while connectivity will be attained wirelessly (for addressing the paucity of connectivity infrastructure in rural parts of developing countries, like South Africa)

Integration of decision support systems to improve decision support performance

Decision support system (DSS) is a well-established research and development area. Traditional isolated, stand-alone DSS has been recently facing new challenges. In order to improve the performance of DSS to meet the challenges, research has been actively carried out to develop integrated decision support systems (IDSS). This paper reviews the current research efforts with regard to the development of IDSS. The focus of the paper is on the integration aspect for IDSS through multiple perspectives, and the technologies that support this integration. More than 100 papers and software systems are discussed. Current research efforts and the development status of IDSS are explained, compared and classified. In addition, future trends and challenges in integration are outlined. The paper concludes that by addressing integration, better support will be provided to decision makers, with the expectation of both better decisions and improved decision making processes