HortiBot: Application of Quality Function Deployment (QFD) Method for Horticultural Robotic Tool Carrier Design Planning - Part II
文献类型: 会议论文
第一作者: Claus G. Sorensen
作者: Claus G. Sorensen 1 ; Rasmus N. Jorgensen 1 ; Jorgen M. Pedersen 2 ; Michael Norremark 3 ;
作者机构: 1.Danish Institute of Agricultural Sciences, Dept. of Agricultural Engineering, Research Centre Bygholm, DK-8700 Horsens, Denmark
2.Vitus Bering, University College, Chr. M. 0stergardsvej 4 C, DK - 8700 Horsens, Denmark
3.The Royal Veterinary and Agricultural University, Department of Agricultural Sciences Hojbakkegaard Alle 9, DK-2630 Taastrup
关键词: Robotics;tool carrier;Quality Function Deployment (QFD);machine design;machine specifications
会议名称: Annual International Meeting of the American Society of Agricultural and Biological Engineers
主办单位:
页码: 7562-7573
摘要: In this study, the principles from Quality Function Deployment (QFD) analysis was used to carry out the solicitation, evaluation and selection of most qualified design parameters and specifications attained to a horticultural robotic tool carrier. TheQFD analysis provided a specific measure to evaluate each selected parameter to satisfy user requirements and operational performance aspects. The analysis steps in this paper focus on: 1) identifying the customers or users, 2) determining customer requirements, 3) ranking the requirements, and 4) competition benchmarking. Based on a combination of importance rating and competitive priority rating important user requirements include easy adaptation to field conditions in terms of row distance and parcel size, profitability, minimum crop damage during operation, and reliability. Lesser importance were attributed to affection value, attractive look, the possibility of out of season usage, and the use of renewable energy. The study demonstrates the feasibility of applying a systematic planning technique for translation of the 'voice of the customer" into specifications of design and technical specifications of a robotic tool carrier to be used in horticulture. Furthermore, a generalized framework for enhancing the quality of contextual design processes for autonomous vehicles in agriculture and horticulture was established.
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