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A combined QFD and integer programming framework to determine attribute levels for conjoint study

Malay Bhattacharyya & Atanu Chaudhuri
Journal Name
International journal of production research
Journal Publication
others
Publication Year
2009
Journal Publications Functional Area
Decision Sciences and Information Systems
Publication Date
vol.47, No.23, Dec'09 PP: 6633-6649
Abstract

Conjoint Analysis (CA) and Quality Function Deployment (QFD) are two popular tools for new product design; marketers frequently use the former and engineers the latter. Typically, in a conjoint study, the attributes and their levels are determined through focus group discussions or market surveys. Sometimes, the market researchers exclude some critical features or include unrealistic attribute levels resulting in infeasible product profiles.

A combined QFD and integer programming framework to determine attribute levels for conjoint study

Author(s) Name: Malay Bhattacharyya & Atanu Chaudhuri
Journal Name: International journal of production research
Volume: vol.47, No.23, Dec'09 PP: 6633-6649
Year of Publication: 2009
Abstract:

Conjoint Analysis (CA) and Quality Function Deployment (QFD) are two popular tools for new product design; marketers frequently use the former and engineers the latter. Typically, in a conjoint study, the attributes and their levels are determined through focus group discussions or market surveys. Sometimes, the market researchers exclude some critical features or include unrealistic attribute levels resulting in infeasible product profiles.