By S. K. Ong
Effective administration of product details is key for production organisations during this details age. contemplating the proliferation of product info, tight creation schedules, and extreme marketplace festival, human intelligence on my own can't meet the necessities of effective product improvement. applied sciences and instruments that help info administration are urgently wanted. This quantity provides the layout reuse method to aid product improvement. major efforts were made to create an clever and optimum layout atmosphere through incorporating the modern applied sciences in product kinfolk layout, man made intelligence, neural networks, info theories, and so forth. This quantity covers either theoretical issues and implementation thoughts, with particular case stories to assist readers achieve an perception in components reminiscent of product details modeling, info research, engineering optimization, construction expense estimation, and product functionality overview.
Contents: layout Reuse structures and allowing instruments; Product info Modeling; layout of Product Platform; Optimization in Product layout; rate Estimation in Product improvement; Product functionality review; A Product relations layout Reuse technique; layout Reuse for Embodiment and precise layout.
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Additional info for Design Reuse in Product Development Modeling, Analysis and Optimization
An inventive solution to a problem is often the one that overcomes some contradictions [Savransky, 2000]. From a functional point of view, a contradiction happens when a harmful function is generated with the change of one parameter to achieve a favorable function. A contradiction-driven process may be developed to generate concepts. It begins with a function model, by which some contradictions are identified. These contradictions are expressed with generalized parameters or engineering parameters that are related to specific physical 38 Design Reuse in Product Development Modeling, Analysis and Optimization effects of a product.
Population size, crossover/mutation rate, termination criteria, etc. These issues will determine the efficiency of the computation and the effectiveness of the design space exploration. The charm of GA lies in its power in solving non-linear, multi-modal optimization problems, where traditional random search methods fall short of inefficient and the linear programming methods may face difficulties in finding the global optima. Hence, GA is especially suitable for solving large combinatorial problems, which are typical in design synthesis problems.
In this sense, the utility of a product can be extended because the product can evolve with the changing environment. Two types of adaptability are defined, namely product adaptability and design adaptability. The former refers to the ability of a product to accommodate various usages. The latter refers to the capability of a design (blueprint) to be modified to create new products. AD brings benefits to both users and producers. For the users, they can enjoy extended product utility. For the producers, new products can be generated based on existing design plans, process plans, manufacturing setups, and existing parts and components.