Architecting Robust Co-Design of Materials, Products, and Manufacturing Processes by Anand Balu Nellippallil & Janet K. Allen & B. P. Gautham & Amarendra K. Singh & Farrokh Mistree

Author:Anand Balu Nellippallil & Janet K. Allen & B. P. Gautham & Amarendra K. Singh & Farrokh Mistree
Language: eng
Format: epub
ISBN: 9783030453244
Publisher: Springer International Publishing

The CEF is introduced in this monograph as a general framework that includes systematic steps to identify design alternatives and generate satisficing design solutions. The CEF is inspired by the RCEM (Chen et al. 1997) with the addition of features (processors) to consider different material and product models and options to explore the solution space for different design scenarios. Core to the CEF is the foundational mathematical construct—the compromise decision support problem (cDSP ) (Mistree et al. 1993). The cDSP construct used here is anchored in the robust design paradigm first proposed by Taguchi. The fundamental assumption is that the models are not complete, accurate, and of equal fidelity (Taguchi 1986; Bras and Mistree 1993). The cDSP is a hybrid of mathematical programming and goal programming. Target values for each goal are defined in a cDSP and the emphasis of the designer is to satisfy these target goals as closely as possible. This is achieved by seeking multiple solutions through tradeoffs among multiple conflicting goals. The solutions obtained are further evaluated by solution space exploration to identify solution regions that best satisfy the requirements identified. There are four keywords in the cDSP—Given, Find, Satisfy, and Minimize. The overall goal of the designer using the cDSP is to minimize a deviation function—a function formulated using the deviations (captured using deviation variables) that exists from the goal targets.

The details regarding formulating and solving the cDSP are available (Bras and Mistree 1993; Mistree et al. 1993) and explained in detail in Chap. 3, and hence are not explained here.

Next, we explain the concept exploration framework (CEF ). In Fig. 4.8, the computing infrastructure for the CEF is shown. The computing infrastructure for CEF includes eight processors (A, B1, B2, D, E, F, G, and H) and simulation programs (C). The application of the CEF begins with the designer identifying the overall end goal design requirements for the problem under study. The further steps in the CEF are below. The solid arrows in Fig. 4.8 are used to highlight the steps of CEF in sequence. The dotted lines and dashed lines are used to represent information sharing within the framework.

Fig. 4.8The computing infrastructure for concept exploration framework (CEF )

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