Cost-effective concept development using functional modeling guidelines

Multi-objective decision-making methods for optimising CO2 decisions in the automotive industry

“…Cost-Benefit Value Analysis has been has been praised Gathering and organising information is a frequently Management Analysis for the high degree of formalisation and found to increase product value whilst cutting product costs, importantly, without diminishing the value delivered to customers (Romano et al, 2010) occurring issue in addition to the challenges of the potential counter-productiveness of group decision making and poorly organised data to the potential of the method producing effective results (Romano et al, 2010) Value engineering Cost-Benefit Analysis/Cost Management Value Engineering (VE) is systematic approach to attain desired functionality of products at a minimum cost by assigning a measurable 'value ratio'. VE seeks to ensure that the product achieves its basic function in a manner which satisfies the customer at an acceptable cost (Durga Prasad et al, 2014) Despite the fact that achieving cost-effectiveness is significant for manufacturers, doing so at the early stage is rewarding but very difficult due to product concepts being formed when the major features and materials are determined at a later stage (Cho & Park, 2019) Table 5 shows that there are two main schools of thought in MCDM (Wallenius et al, 2008); the American, full aggregation approach (Keeney & Raiffa, 1976) versus the French outranking approach (Roy, 1991). The full aggregation approach involves a score being evaluated for each criterion that is then synthesised into a global score whereby a criterion with a poor score can be compensated for by another criterion with a good score (Ishizaka & Nemery, 2013).…”

Risk-informed reliability improvement optimization for verification and validation planning based on set covering modeling

“…Some other improvements to the traditional V&V methods can be found in the literature. [27][28][29][30] From another perspective, in order to provide guidance and strategies for the implementation and optimization of V&V, the methods of simulation and modeling of V&V in the design of new complex engineering products have also been widely studied. For example, Kukulies and Schmitt 31 proposed a conceptual approach of design verification planning based on uncertainty quantification to avoid unplanned engineering changes in the NPD process, thus improving the effectiveness of design verification activities.…”

A Method to Determine Core Design Problems and a Corresponding Solution Strategy

“…The key to incremental innovation is to analyze and determine the core problems in the previous product system, and to develop suitable strategies to generate better design solutions. At present, many researchers have integrated innovative methods with complementary advantages to assist designers with improving design quality and efficiency [6,7]. The theory of inventive problem solving (TRIZ) was adopted by Li et al [8] to define conflicts in the product system and solve these conflicts with effective tools (i.e., a contradiction matrix).…”