Design changes are necessary to sustain the product against competition. Due to technical, social, and financial constraints, an organization can only implement a few of many change alternatives. Hence, a wise selection of a change alternative is fundamentally influential for the growth of the organization. Organizations lack knowledge bases to effectively capture rationale for a design change; i.e., identifying the potential effects a design change. In this paper, (1) we propose a knowledge base called multiple-domain matrix that comprises the relationships among different parameters that are building blocks of a product and its manufacturing system. (2) Using the indirect change propagation method, we capture these relationships to identify the potential effects of a design change. (3) We propose a cost-based metric called change propagation impact (CPI) to quantify the effects that are captured from the multiple-domain matrix. These individual pieces of work are integrated into a web-based tool called Vatram. The tool is deployed in a design environment to evaluate its usefulness and usability.
A Multiple-Domain Matrix Support to Capture Rationale for Engineering Design Changes
Contributed by the Computers and Information Division of ASME for publication in the JOURNAL OF COMPUTING AND INFORMATION SCIENCE IN ENGINEERING. Manuscript received October 26, 2017; final manuscript received March 27, 2018; published online April 26, 2018. Assoc. Editor: Rahul Rai.
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Siddharth, L., and Sarkar, P. (April 26, 2018). "A Multiple-Domain Matrix Support to Capture Rationale for Engineering Design Changes." ASME. J. Comput. Inf. Sci. Eng. June 2018; 18(2): 021014. https://doi.org/10.1115/1.4039850
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