โ Scribed by Y. Shimomura; T. Hara
No coin nor oath required. For personal study only.
Recent studies in the field of service design (e.g., [1][2][3][4]) have focused on the effective integration of products and services (product/service-system: PSS). However, design is viewed as a form of problem solving, with the intent of satisfying customer demands. Namely, to date, an insufficient number of studies have been conducted on a method to support this design process. In service design, ad hoc design processes, employing trial and error methods, are still dominant, and the quality of a design solution largely depends on a designer's experience and intuition. The authors consider the conflicts present in a design solution to be a key to the creation of quality design. The quality and efficiency of design are largely dependent on how rapidly designers are able to discover and resolve such conflicts.
In this paper, a methodology for supporting design process is proposed. It will enable designers to identify existing conflicts in design solutions and develop the basic strategies required for resolving them computationally.
๐ SIMILAR VOLUMES
## Abstract Robust optimization problems are newly formulated and an efficient computational scheme is proposed. Both design variables and design parameters are considered as random variables about their nominal values. To ensure the robustness of objective performance, we introduce a new performan
The accuracy and computational cost of a direct simulation Monte Carlo simulation are directly related to the number of particles per cell. Optimal computational efficiency is achieved when the minimum number of particles needed for accurate resolution is used in each cell. Particle count is shown t