J
Jiafu Tang
Researcher at Dongbei University of Finance and Economics
Publications - 215
Citations - 4629
Jiafu Tang is an academic researcher from Dongbei University of Finance and Economics. The author has contributed to research in topics: New product development & Scheduling (production processes). The author has an hindex of 33, co-authored 201 publications receiving 3969 citations. Previous affiliations of Jiafu Tang include Northeastern University (China) & Northeastern University.
Papers
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An application of swarm optimization to nonlinear programming
TL;DR: A particle swarm optimization algorithm embedded with constraint fitness priority-based ranking method is proposed in this paper to solve nonlinear programming problem and is proved to be efficient and robust by testing some example and benchmarks of the constrained non linear programming problems.
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Rating technical attributes in fuzzy QFD by integrating fuzzy weighted average method and fuzzy expected value operator
TL;DR: A method is proposed in this paper using fuzzy weighted average method in the fuzzy expected value operator in order to rank technical attributes in fuzzy QFD.
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A new approach to quality function deployment planning with financial consideration
TL;DR: Two types of fuzzy optimisation models are discussed in this paper, which consider not only the overall customer satisfaction, but also the enterprise satisfaction with the costs committed to the product.
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Estimating the functional relationships for quality function deployment under uncertainties
TL;DR: An asymmetric fuzzy linear regression approach is proposed to estimate the functional relationships for product planning based on QFD and shows that trapezoidal fuzzy number coefficients have more flexibility to handle a wider variety of systematic uncertainties and ambiguities that cannot be modeled efficiently using triangular number fuzzy coefficients.
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Fuzzy regression-based mathematical programming model for quality function deployment
TL;DR: A new fuzzy regression-based mathematical programming approach for QFD product planning is presented in this article, where fuzzy regression theories with symmetric and non-symmetric triangular fuzzy coefficients are discussed to identify the relational functions between engineering characteristics and customer requirements and among engineering characteristics.