Redesign of technical systems

The paper describes a systematic approach to support the redesign process. Redesign is the adaptation of a technical system in order to meet new specifications. The approach presented is based on techniques developed in model-based diagnosis research. The essence of the approach is to find the part of the system which causes the discrepancy between a formal specification of the system to be designed and the description of the existing technical system. Furthermore, new specifications are generated, describing the new behaviour for the `faulty¿ part. These specifications guide the actual design of this part. Both the specification and design description are based on YMIR, an ontology for structuring engineering design knowledge

No Place for Kids: The Case for Reducing Juvenile Incarceration

Reviews research on states' reliance on incarcerating juveniles in dangerous, ineffective, unnecessary, obsolete, wasteful, and inadequate facilities. Recommends ways to redesign corrections systems, including investing in non-residential alternatives

Redesign and innovation in hospitals: foundations to making it happen

This paper describes key features of hospital redesign processes in Australia by analysing Victorian, NSW and other models. It discusses frameworks and drivers of large scale change in health systems including challenges and barriers to success.  The use of systems thinking and institutional entrepreneurship to support achieving change is described.   Insights are provided to enable policy development that can support innovation and system redesign. What is the problem? Australia\u27s demand for healthcare services is escalating, driven by an ageing population with complex health care needs, rising rates of chronic illness, increasing health care costs and rapid information technology innovation. These pressures may not be adequately met within the health system\u27s current and future economic capacity. Therefore, healthcare services and systems must achieve wide-ranging reform and redesign if they are to meet these challenges. The key questions for those working as health services leaders are: how can we support the innovation and change required to address this reality? and what should national policy makers do to support this work? What does the evidence say? Considerable evidence describes overlapping aspects of successful redesign in hospitals. These include: leadership to achieve change; the use of data to monitor and evaluate change; coherent alignment to organisational strategic plans; the development of organisational culture that is ready for change; and ensuring integration of change into routine practice. Systems thinking and institutional entrepreneurship offer approaches to change and redesign that take into consideration networks and relationships of individuals, teams and clinical disciplines working within it, resources and current processes and the cultural context of the organisation. What does this mean for health service leaders? In order to fully meet the requirements for redesign and innovation, health service leaders will need to address a number of key areas. First and foremost, leaders need to develop their organisational strategic vision around the concept of redesign and innovation and build staff understanding of the importance of these concepts. Staff must be given the capacity and confidence to pursue meaningful change in their everyday operations. Leaders must recognise the benefits of data and analytics and support the development of systems to utilise these tools. Innovative practices from outside of the health sector should be studied and adapted, and partnerships with industry and academia must be pursued. What does this mean for policy makers? Policy makers need to commit to investment in the concept of redesign and innovation. They should consider funding models that reward health services for innovation. Policy makers must support health services to pursue and sustain meaningful change while recognising that transformation requires time, perseverance and willingness to learn from success and failure

CAN CHANGE PREDICTION HELP PRIORITISE REDESIGN WORK IN FUTURE ENGINEERING SYSTEMS?

Future design environments will necessitate improved management of the propagation and impacts of changes. To ascertain whether change prediction can assist in making better work prioritisation decisions, this paper develops a new simulation approach and applies it to a model of a complex aerospace product, which was elicited from industry. We use an accepted technique to generate potential change propagation trees and apply Monte Carlo methods to generate a sample space within which multiple scheduling policies could be evaluated and compared. The experiments reveal that poor coordination of change activity can result in significant process inefficiencies, that the potential for inefficiency increases for larger change networks, and that a modest ability to accurately predict change propagation in the specific case at hand could have a dramatic effect in reducing unnecessary rework. The experiments also suggest that the capability of predicting multiple steps of change propagation would provide only minimal additional improvement.International Design Conference - DESIGN 201

Self-Configuring Socio-Technical Systems: Redesign at Runtime

Modern information systems are becoming more and more socio-technical systems, namely systems composed of human (social) agents and software (technical) systems operating together in a common environment. The structure of such systems has to evolve dynamically in response to the changes of the environment. When new requirements are introduced, when an actor leaves the system or when a new actor comes, the socio-technical structure needs to be redesigned and revised. In this paper, an approach to dynamic reconfiguration of a socio-technical system structure in response to internal or external changes is proposed. The approach is based on planning techniques for generating possible alternative configurations, and local strategies for their evaluation. The reconfiguration mechanism is presented, which makes the socio-technical system self-configuring, and the approach is discussed and analyzed on a simple case study

Development programs for one-shot systems using multiple-state design reliability models

Design reliability at the beginning of a product development program is typically low and development costs can account for a large proportion of total product cost. We consider how to conduct development programs (series of tests and redesigns) for one-shot systems (which are destroyed at first use or during testing). In rough terms, our aim is to both achieve high final design reliability and spend as little of a fixed budget as possible on development. We employ multiple-state reliability models. Dynamic programming is used to identify a best test-and-redesign strategy and is shown to be presently computationally feasible for at least 5-state models. Our analysis is flexible enough to allow for the accelerated stress testing needed in the case of ultra-high reliability requirements, where testing otherwise provides little information on design reliability change. --development programs,one-shot systems,multiple-state design reliability,test,redesign,optimal programs,dynamic programming,accelerated testing

RE-ENGINEERING: A FRAMEWORK FOR ANALYSIS AND CASE STUDY OF AN IMAGING SYSTEM

Re-engineering or business process redesign has become very popular. This paper presents a clear description of re-engineering and contrasts it with incremental change in systems. The paper also develops a framework for comparing two related systems. The framework is applied to a case study of the re-engineering of the Merrill Lynch Securities Processing System. This system features image processing, character recognition and extensive process redesign. The re-engineering effort has had a substantial impact on the firm.Information Systems Working Papers Serie