
Design of Multifunction Wheelchair with Nigel Cross Method
Author(s) -
Rosnani Ginting,
Aulia Ishak,
Agnes Aneni Tefila Purba
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1003/1/012018
Subject(s) - wheelchair , product (mathematics) , excellence , brainstorming , quality function deployment , product design , analytic hierarchy process , manufacturing engineering , pairwise comparison , topsis , house of quality , value (mathematics) , new product development , rank (graph theory) , computer science , competitor analysis , engineering , industrial engineering , value engineering , operations research , marketing , operations management , mathematics , business , artificial intelligence , service (business) , law , customer retention , world wide web , geometry , machine learning , political science , service quality , combinatorics
Product design can be done with the initial steps of a systematic approach that is making concept ideas and evaluating them. With the concept, the product design is required to have a concept development, as well as testing of the concept. This research aims to add a multifunctional design to an existing product, a lever for an adjustable chair, and a place for drinking bottles. The design attributes are obtained from the designer’s brainstorm. The size of the design is obtained from a direct field survey of market desires for Multifunctional Wheelchair Products. This Multifunction Wheelchair was created because. Manual wheelchairs have the disadvantage of requiring a lot of energy for their users. The specifications of the Multifunctional Wheelchair are obtained from distributing questionnaires to the elderly and disability in hospitals. QFD method discusses a comparison between Multifunctional Wheelchair Products, with 3 other competitors with the same attributes. Solving each problem, resulting in sub-solutions from Nigel Cross’s steps to maintain product excellence. Pairwise Comparison and AHP calculate the weights of each attribute then rank them. The final step is value engineering to increase the value product for consumers and reduce the cost of producing.