Optimizing Design Alternation through Balancing Customer Satisfaction and Risk

Abstract:

In this paper, a design solution selection methodology for product design is described. The described technique incorporates the customer satisfaction forecasting and design solution risk analysis into the process of evaluating alternatives for systems or sub-systems design solution, which enables the design of products by satisfying customer, technical, schedule, and financial requirements. Also, an additional comparison technique for comparing design solution alternatives is developed. In this technique, pair-wise comparisons are performed to measure the strength of one-to-one relationship between optimal solution and alternatives solution. An illustrative example demonstrates the application of our methodology to the design of a motorcycle system.

• Periodical: Advanced Materials Research (Volume 662)
• Pages: 648-652
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.662.648
• Online since: February 2013
• Authors: Lei Wang, Xin Guo Ming, Fan Bin Kong
• Keywords: Alternatives Solution Selection, Customer Satisfaction, Decision Analysis, Dual-Ant Algorithm, Risk of Design Solution

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