Evaluation of alternatives for product customization using fuzzy logic
Information Sciences—Informatics and Computer Science: An International Journal - Special issue: Informatics and computer science intelligent systems applications
A new approach based on soft computing to accelerate the selection of new product ideas
Computers in Industry
Computers and Industrial Engineering
Artificial Intelligence for Engineering Design, Analysis and Manufacturing - SPECIAL ISSUE: Platform product development for mass customization
Product concept generation and selection using sorting technique and fuzzy c-means algorithm
Computers and Industrial Engineering
A two phase multi-attribute decision-making approach for new product introduction
Information Sciences: an International Journal
Prioritization and operations NPD mix in a network with strategic partners under uncertainty
Expert Systems with Applications: An International Journal
A new integrated design concept evaluation approach based on vague sets
Expert Systems with Applications: An International Journal
A new incomplete preference relations based approach to quality function deployment
Information Sciences: an International Journal
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Design alternative selection is regarded as a crucial activity in complex product development. The traditional decision-making methods barely consider the design alternative evaluation of complex products or integrate the voices of customers into the decision process systematically. The aim of this paper is to improve the effectiveness of decision making about multiple design alternatives in complex product development under uncertainty. Based on the integration of quality function deployment and group decision making, a new decision-making approach is proposed for assisting product designers in selecting the design alternatives of complex products. Meanwhile, fuzzy set theory is incorporated in order to capture the vagueness and uncertainty that exists in the decision process. In this study, a complex product is divided into multi-parts to form a hierarchical structure. Fuzzy quality function deployment is used for translating customer requirements into the priorities of these parts. Furthermore, a fuzzy multi-criteria group decision-making method is employed for evaluating the performance of part alternatives. All design alternatives are ranked and then selected according to the multiplied evaluation scores of parts with their weights. This proposed approach is applied in a real-world example of a horizontal directional drilling machine. In addition, how the importance weights of customer requirements and evaluation criteria change are analysed under various risk environments.