Variation Management during the Product & Process Development can profoundly impact the quality, the cost of the product and the number of scraps in mass production… Designers want tight tolerances to ensure product performance; manufacturers prefer loose tolerances to reduce manufacturing and assembly cost. To analyse compromise solutions, the primary aim is to establish an objective function. This paper presents a model for the key indicators assessment to the relevance of variation management: cost, and investigates which model used in decision analysis is the most appropriate to prioritize and aggregate the predetermined performance measures. The applications of this model are demonstrated through an industrial case study where tolerance allocation, product development, problem is firstly addressed. Once optimized tolerances are attained, inspection planning, process development, problem is approached to ensure the optimized awaited quality level for the least cost.
Integrated product design and development in today's highly competitive and economically challenging world is a complex process depending upon client requirements. One of the main factors contributing to the complexity of process is uncertainty due to lack of system knowledge, known as epistemic uncertainty. This paper proposes a systematic approach to reduce epistemic uncertainty in design process in early stages of design. The approach is based on "CTOC" and "CPM" to decompose the system behaviour and determine the relationships between function and structure of a system. An application of the approach is demonstrated through an industrial case study.
The main objective in designing a product is to satisfy the required needs. So, the designer aims to design the product's structure based on the required function of the product. Therefore, in the design process, the link between the functional requirement and the physical structure has to be assured. This paper proposes an approach to help the designer in transition from function to structure to assure this link. This approach uses energy flow modelling to model the system's behaviour in the framework of characteristics-properties modelling (CPM). It is composed of a multi-level modelling approach with two concurrent, interlinked modelling domains: functional and structural. By zigzagging between these two domains in each level of the decomposition, a quantitative model of the product is determined using CPM. The result shows the effective modifiable parameters (or required structure) of the product to satisfy the required function. So, it can be used to design a new product as well as analysing and optimising an existing product.
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