Technology & Engineering
Effective Modelling
Effective modelling involves creating accurate and useful representations of real-world systems or processes using mathematical or computational tools. It requires careful consideration of the relevant variables and assumptions, as well as the ability to communicate the results clearly to stakeholders. Effective modelling can help engineers and technologists design better products, optimize processes, and make informed decisions.
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eBook - PDFMathematical Modelling
Education, Engineering and Economics - ICTMA 12
- C Haines, P Galbraith, W Blum, S Khan(Authors)
- 2007(Publication Date)
- Woodhead Publishing(Publisher)
Modelling, understood as the ability to choose the right abstractions for a problem domain, is consensually recognised as essential for the development of true engineering skills in this area, as it is in all other engineering disciplines. But, how can the basic problem- solving strategy, one gets used to from school physics: understand the problem, build a mathematical model, reason within the model, calculate a solution, be taken (and taught) as the standard way of dealing with software design problems? This paper addresses this question, illustrating and discussing the interplay between modelling and reasoning. 1. INTRODUCTION The use of computer-based systems to support mathematical modelling is a recurring theme in the practice and research of most of our readers. On the one hand, computers have radically expanded the range of problem-solving and decision- making situations that can be effectively tackled. On the other, they play a fundamental role in training modelling skills and promoting associated competences. In this paper, however, we take the dual viewpoint: we will not be concerned with computers as modelling aids, but instead with the use of mathematics to model and reason about computer-based systems. Maybe such a shift of concern deserves some explanation. The exponential increase of both the availability of processor power and the complexity of the problems computers are requested to solve, is unprecedented in any other engineering domain. Even so, software remains hard to develop, it is often unreliable ('faulty goods delivered over budget and behind schedule'), difficult to re- use and excessively costly to modify and maintain. Traditional design methods emphasising diagrammatic or textual descriptions, with an informal semantics, have created the illusion that software development was little more than a balanced compromise of intuition and craft.
eBook - ePubDeveloping Information Systems
Practical guidance for IT professionals
- Tahir Ahmed, Julian Cox, Lynda Girvan, Alan Paul, Debra Paul, Peter Thompson, James Cadle(Authors)
- 2014(Publication Date)
- BCS, The Chartered Institute for IT(Publisher)
In the early days of solution development, there was often little IT involved in the existing system, so jumping straight across from the Physical As-Is to the Physical To-Be risked potentially missing important new business requirements, while carrying forward redundant legacy features. This pattern is still applicable today, particularly when migrating solution components to new technologies. Ongoing maintenance activities may often skip across the physical level but doing so is not without risk.RATIONALE FOR MODELLING
Modelling is employed in many disciplines for many reasons, for example:- Building architects commission three-dimensional models of new structures that allow the client to get an early vision of what the finished structure will look like.
- Engineers produce structural models that allow them to perform various calculations that validate the integrity of the structure.
- Economists produce dynamic models of the economy that allow them to run various scenarios in an attempt to predict likely outcomes.
- Formula One car designers produce scale models of body components that can be placed in wind tunnels to test their aerodynamics and to refine the shapes until the finished version is produced and used on the actual car.
One can relate each of these examples to how modelling can be employed within solution development with the ultimate aim of developing a solution which meets key stakeholder requirements; in other words a quality solution.What does modelling facilitate?
Modelling is more than simply producing a model in place of documentation to hand over as part of a process; when appropriate useful models are produced, they facilitate a range of development activities that assist the aim of developing a high-quality solution.Communication and understandingAt the most fundamental level, a model is not useful if it does not capture and communicate a level of understanding of the system. Such communication can occur during collaborative modelling activities, for example developing models during workshops; or through models as deliverable artefacts, for example at development stage handovers.
eBook - PDF- Jordaan, G.D., Lategan, Laetus O.K.(Authors)
- 2010(Publication Date)
- UJ Press(Publisher)
Once a model has been developed and used to answer questions about the phenomenon, it should be examined critically and, if necessary, modified to obtain a more accurate reflection of the observed reality. [1] Thus, mathematical modelling is an evolutionary process and as new insight into the problem is gained, the process is optimised. The success of a model is determined by the ease of its use and the accuracy of its predictions. With the development of powerful computer technology and numerical simulation technology, mathematical modelling is increasingly being applied to a wide spectrum of areas, not only in the areas of natural science, technology and engineering, but also in the areas of society, humanity, economics, and management. For example, a biscuit company may wish to increase the throughput at a distribution depot. [2] Suppose the biscuits arrive at the depot on large articulated trucks, are unloaded, and transferred onto storage racks by fork trucks. When required, the biscuits are removed from the racks and loaded onto small delivery vans for dispatch to particular retail customers. To increase the throughput, a number of options might present themselves to the management. These include: increasing the number of loading or unloading bays; increasing the number of fork trucks; and using new systems for handling the goods; etc. 62 Modelling as Research Methodology It would be possible to experiment on the real depot by varying some of these factors and evaluating the outcomes, but such trials would be expensive and time consuming. The simulation approach to those problems involves the development of a model of the depot. The model is simply an unambiguous statement of the way in which the various components of the system (for example fork trucks and loading bays) interact to produce the behaviour of the system.
eBook - PDF- Lokesh Pandey(Author)
- 2023(Publication Date)
- Arcler Press(Publisher)
SCIENTIFIC DESIGN AND MODELING IN ENGINEERING CHAPTER3 CONTENTS 3.1. Introduction ...................................................................................... 48 3.2. Models in Science and Engineering .................................................. 50 3.3. Models and Representation............................................................... 51 3.4. Resemblances Between Model and Target Systems ........................... 55 3.5. Fictionalism About Models ............................................................... 56 3.6. Modeling And Design ....................................................................... 57 3.7. Modeling Paradigms And Languages ................................................. 59 3.8. Single-Domain Simulation ................................................................ 65 3.9. Interleaving Design And Simulation .................................................. 67 3.10. Collaborative Modeling .................................................................. 69 3.11. Modeling At The Component Level ................................................. 71 3.12. Integration With Design Tools ......................................................... 73 3.13. Future Modeling And Simulation .................................................... 74 References ............................................................................................... 78 Scientific Principles of Engineering 48 3.1. INTRODUCTION The use of simulation and modeling gives designers the ability to check whether or not design criteria are satisfied by using virtual instead of actual tests. The designing cycle may be greatly shortened and design costs can be significantly reduced when virtual prototyping is used. In addition to this, it gives the designer instant feedback on design choices, that, in turn, promised a more thorough examination of design options and a final presentation that is more effective.
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