The primary and most significant tool in QFD is the of Quality’ (HoQ), which ‘House translates customer requirements into engineering characteristics i.e. technical requirements. A step by step illustrative application and example of the HoQ is given by (Chan and Wu, 2005). These requirements are commonly obtained through interviews, surveys and Decision-Making methods (MCDM). Approaches integrating QFD with making methods such as the Analytical Hierarchy Process (AHP), goal programming and the Analytic Network Process (ANP) have been demonstrated in areas such as product planning (Karsak et al., 2003) and strategic marketing (Min Hua Lu, 1994). The AHP is a particularly popular MCDM method (Pohekar and Ramachandran, 2004). It breaks complex decision problems down into manageable sub-problems and provides a structured approach to analysing quantitative and qualitative data in pair-wise comparison matrices. A number of publications combining AHP and QFD for product design and selection are reviewed by Ho (2008). Other decision methodologies have also been integrated with QFD to further enhance concept selection. The Pugh matrix is a systematic process for the quick selection of a ‘best’ concept, and is commonly used in engineering decision making to score new design concepts against a baseline design. Individual design criteria are simply rated as better or worse for each new concept; the design with the highest score is then considered the best to pursue. QFD provides an objective approach to assigning an importance to the selection criteria. A joint US Air Force/NASA program to produce a heavy lift launch vehicle used the Pugh concept selection matrix with QFD for the selection of a new fuel turbo pump, comparing two different designs with a baseline concept (Butler, 1993).. In the of sustainable energy and manufacturing, several authors have used MCDM tools for system selection and cleaner production: Lozano-Minguez et al. (2011) used a MCDM
The primary and most significant tool in QFD is the ‘House of Quality’ (HoQ), which translates customer requirements into engineering characteristics i.e. technical requirements. A step by step illustrative application and example of the HoQ is given by (Chan and Wu, 2005). These requirements are commonly obtained through interviews, surveys and Decision-Making methods (MCDM). Approaches integrating QFD with methods such as the Analytical Hierarchy Process (AHP), goal programming and the Analytic Network Process (ANP) have been demonstrated in areas such as product planning (Karsak et al., 2003) and strategic marketing (Min Hua Lu, 1994). The AHP is a particularly popular MCDM method (Pohekar and Ramachandran, 2004). It breaks complex decision problems down into manageable sub-problems and provides a structured approach to analysing quantitative and qualitative data in pair-wise comparison matrices. A number of publications combining AHP and QFD for product design and selection are reviewed by Ho (2008). Other decision methodologies have also been integrated with QFD to further enhance concept selection. The Pugh matrix is a systematic process for the quick selection of a ‘best’ concept, and is commonly used in engineering decision making to score new design concepts against a baseline design. Individual design criteria are simply rated as better or worse for each new concept; the design with the highest score is then considered the best to pursue. QFD provides an objective approach to assigning an importance to the selection criteria. A joint US Air Force/NASA program to produce a heavy lift launch vehicle used the Pugh concept selection matrix with QFD for the selection of a new fuel turbo pump, comparing two different designs with a baseline concept (Butler, 1993).. In the of sustainable energy and manufacturing, several authors have used MCDM tools for system selection and cleaner production: Lozano-Minguez et al. (2011) used a MCDM making