A new approach to quality function deployment planning with financial consideration
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Publication:1603340
DOI10.1016/S0305-0548(01)00041-7zbMath0994.90059OpenAlexW2151801827MaRDI QIDQ1603340
Jiafu Tang, Baodong Xu, Dingwei Wang, Richard Ying Kit Fung
Publication date: 11 July 2002
Published in: Computers \& Operations Research (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/s0305-0548(01)00041-7
Approximation methods and heuristics in mathematical programming (90C59) Production models (90B30) Fuzzy and other nonstochastic uncertainty mathematical programming (90C70)
Related Items (12)
Fuzzy quality function deployment: determining the distributions of effort dedicated to technical change ⋮ Fuzzy regression-based mathematical programming model for quality function deployment ⋮ Integrating customer's preferences in the QFD planning process using a combined benchmarking and imprecise goal programming model ⋮ An imprecise goal programming approach for modeling design team's preferences in quality function deployment planning process ⋮ Rating design requirements in fuzzy quality function deployment via a mathematical programming approach ⋮ Rating technical attributes in fuzzy QFD by integrating fuzzy weighted average method and fuzzy expected value operator ⋮ A FUZZY MULTI-OBJECTIVE MODEL OF QFD PRODUCT PLANNING INTEGRATING KANO MODEL ⋮ An uncertain QFD approach for the strategic management of logistics services ⋮ Technical attributes ratings in fuzzy QFD by integrating interval-valued intuitionistic fuzzy sets and Choquet integral ⋮ Fuzzy expected value modelling approach for determining target values of engineering characteristics in QFD ⋮ Use of an Analytic Network Process and Monte Carlo Analysis in New Product Formula Selection Decisions ⋮ Estimating the functional relationships for quality function deployment under uncertainties
Cites Work
- Fuzzy mathematical programming. Methods and applications
- An interactive approach based on a genetic algorithm for a type of quadratic programming problems with fuzzy objective and resources
- A hybrid genetic algorithm for a type of nonlinear programming problem
- An intelligent hybrid system for customer requirements analysis and product attribute targets determination
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