Adaptive foresight modular design and dynamic adjustment mechanism: Framework and Taiwan case study

2012 ◽  
Vol 79 (9) ◽  
pp. 1583-1591 ◽  
Author(s):  
Hao-Chu Lin ◽  
Pin Luarn ◽  
Ren-Horng Maa ◽  
Chao-Wen Chen
Author(s):  
Daniel González-Arribas ◽  
Manuel Soler ◽  
Javier López-Leonés ◽  
Enrique Casado ◽  
Manuel Sanjurjo-Rivo

The future air traffic management system is to be built around the notion of trajectory-based operations. It will rely on automated tools related to trajectory prediction in order to define, share, revise, negotiate and update the trajectory of the aircraft before and during the flight, in some case, in near real time. This paper illustrates how existing standards on trajectory description such as the aircraft intent description language can be enhanced including optimisation capabilities based on numerical optimal control. The Aircraft Intent Description Language is a formal language that has been created in order to describe aircraft intent information in a rigorous, unambiguous and flexible manner. It has been implemented in a platform for a modular design of the trajectory generation process. A case study is presented to explore its effectiveness and identify the requirements and needs to generate optimised aircraft intents with higher automation and flexibility. Preliminary results show the suitability of numerical optimal control to design optimised aircraft intents based on the aircraft intent description language.


2002 ◽  
Vol 10 (2) ◽  
pp. 153-164 ◽  
Author(s):  
J. C. Sand ◽  
P. Gu ◽  
G. Watson

Product modularization aims to improve the overall design, manufacturing, operational, and post-retirement characteristics of products by designing or redesigning the product architectures. A successful modular product can assist the reconfiguration of products, while reducing the lead-time of design and manufacturing and improving the ability for upgrading, maintenance, customization and recycling. This paper presents a new modular design method called the House Of Modular Enhancement (HOME) for product redesign. Information from various aspects of the product design, including functional requirements, product architecture and life cycle requirements, is incorporated in the method to help ensure that a modularized product would achieve the objectives. The HOME method has been implemented in a software system. A case study will be presented to illustrate the HOME method and the software.


2022 ◽  
Vol 2022 ◽  
pp. 1-17
Author(s):  
Dongqiao Bai ◽  
Qi Yang ◽  
Jian Zhang ◽  
Shouzhi Li

The objective of this study is to propose a solution for process plant upgradation becoming extinct due to obsoleteness of spares. The study will help in reliability, availability, and maintainability (RAM) based upgradation of control system of process plants in developing countries. Available options for plant upgradation are compact control, modular, and semiautomatic. RAM based upgradation provides solution which is high in reliability and availability (usually all parts are replaced with upgraded and compatible technology) and is easy to maintain throughout the service life of process plant. Case study for stacker and reclaimer of cement plant upgradation is considered to both implement and evaluate the idea. Upgradation methodology is finalized by expert’s feedback regarding selection of hardware with respect to availability, market survey to validate the opinion, and economical availability viability of selected hardware. Pre- and postupgradation scenarios are analyzed to validate the implementation of study and conclude the expected outcomes. The process plant upgradation yielded a cost-effective solution to the problem with automation increasing by 17%, plant maintainability increasing by 80%, and downtime of plant decreasing by 17%. Among all available options, modular design Op1 is considered the best choice that can satisfy RAM criteria.


PLoS ONE ◽  
2021 ◽  
Vol 16 (7) ◽  
pp. e0254749
Author(s):  
Christopher Schölzel ◽  
Valeria Blesius ◽  
Gernot Ernst ◽  
Alexander Goesmann ◽  
Andreas Dominik

One should assume that in silico experiments in systems biology are less susceptible to reproducibility issues than their wet-lab counterparts, because they are free from natural biological variations and their environment can be fully controlled. However, recent studies show that only half of the published mathematical models of biological systems can be reproduced without substantial effort. In this article we examine the potential causes for failed or cumbersome reproductions in a case study of a one-dimensional mathematical model of the atrioventricular node, which took us four months to reproduce. The model demonstrates that even otherwise rigorous studies can be hard to reproduce due to missing information, errors in equations and parameters, a lack in available data files, non-executable code, missing or incomplete experiment protocols, and missing rationales behind equations. Many of these issues seem similar to problems that have been solved in software engineering using techniques such as unit testing, regression tests, continuous integration, version control, archival services, and a thorough modular design with extensive documentation. Applying these techniques, we reimplement the examined model using the modeling language Modelica. The resulting workflow is independent of the model and can be translated to SBML, CellML, and other languages. It guarantees methods reproducibility by executing automated tests in a virtual machine on a server that is physically separated from the development environment. Additionally, it facilitates results reproducibility, because the model is more understandable and because the complete model code, experiment protocols, and simulation data are published and can be accessed in the exact version that was used in this article. We found the additional design and documentation effort well justified, even just considering the immediate benefits during development such as easier and faster debugging, increased understandability of equations, and a reduced requirement for looking up details from the literature.


2017 ◽  
Vol 5 (1) ◽  
pp. 173-196 ◽  
Author(s):  
Anja Jetschke

AbstractWhat drives institutional reforms in regional organisations? And what explains the institutional design of ASEAN? Despite many differences, conventional approaches to the institutional design of regional organisations more generally and ASEAN in particular are united in regarding them as either determined by factors endogenous to the region − such as varying state interests or collective norms − or as exogenously driven, most importantly by hegemonic states like the US or China. This article offers a diffusion account of ASEAN's institutional design. Building on a more recent strand in the diffusion literature emphasising that diffusion rarely leads to convergence, the article makes two genuine contributions. First, it argues that members of regional organisations engage in modular adoption: they select institutional templates from a variety of regional as well as international organisations thereby taking advantage of available information on the costs and benefits of alternative institutions. Second, it argues that contextual conditions and cognitive priors influence what templates are chosen. The argument will be illustrated with a case study on ASEAN's adoption of a single market and a dispute settlement mechanism. Finally, and contrary to arguments that institutional borrowing might increase the expectations-deliverance gap within regional organisations, it argues that if conducted consistently, modular adoption can lead to substantial innovation and success.


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