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Architecture-driven modernization (ADM) is the new generation of reengineering in which models are used as main artifacts during the whole process.
To maximize the profit made by the enterprise the authors suggest using the retrospective design, which enables assessing the efficiency of the business process reengineering in metallurgy.
Process reengineering in purchasing, materials management, work practices, and waste management can reduce environmental hazards and contain costs at the healthcare facilities.
Since most mechanisms which are relevant for applications involve multiple pathways and their crosstalk, there is a need for algorithms which avoid the pitfalls of detailed network reengineering in only one step.
This paper demonstrates an application of the RFID-enabled process reengineering in sustainable healthcare system design, and presents a case study in the linens division of central sterilization services department at a Singaporean hospital using ARENA simulation.
However this application is currently limited to donor-derived decellularized organs for reengineering in vitro and no study has been conducted for re-engineering the decellularized organ in vivo.
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The paper describes the complex approach to enterprise architecture changes influence analysis and gives the case of using the approach in the IT-architecture reengineering project in Saint Petersburg Urban Underground.
For some foundry tools development the reverse engineering (RE) allows to generate surface models from point clouds captured by 3D-scanning technique, and consequently this methodology permits to control or reengineering tools in a short development period.
When modules are falsified, modularity simplifies the reengineering involved in iterative refinement.
He discovered that, rather than attempting to make them act rationally, even in to save money or health, "We would be better off reengineering the environments in which patients find themselves so that their natural inclinations lead to decisions and behaviors that better serve their interests over the longer term".
Data provided in this format does not require additional parsing before integration and knowledge reengineering (Hoekstra, 2011) in a Web 3.0 computational ecosystem, ensuring maximum return on public investment by enabling the widest possible use of a public big data resource.
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