Predicting future customer requirements for product planning

Product planning is an essential phase in the product development cycle. To ensure the success of a product, companies must understand what types of customer requirements need to be presented in the product. Traditionally, the analysis of customer requirement importance rating is done using the Qual...

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Main Author: Ko, Hao Sheng.
Other Authors: Chen Chun-Hsien
Format: Final Year Project
Language:English
Published: 2012
Subjects:
Online Access:http://hdl.handle.net/10356/49531
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-495312023-03-04T19:21:29Z Predicting future customer requirements for product planning Ko, Hao Sheng. Chen Chun-Hsien School of Mechanical and Aerospace Engineering DRNTU::Engineering::Mechanical engineering Product planning is an essential phase in the product development cycle. To ensure the success of a product, companies must understand what types of customer requirements need to be presented in the product. Traditionally, the analysis of customer requirement importance rating is done using the Quality Function Deployment (QFD) approach. However it is soon realized that such analysis are only static while the importance of each product attribute veritably varies with time. Thus, forecasting of customer requirements provide a potential solution for companies which want to be ahead of time. These companies generally come from technology- and design- intensive industries such as electronics and transport. They compete in fast moving markets and hence invest hugely in product development to devise proactive strategies for probing and influencing the future. For this reason, the study aims to derive a suitable solution which emphasizes on effective and efficient short-term forecasting. This study begins by presenting different methods of forecasting - both qualitative and quantitative. The pros and cons of each method are discussed to understand their effectiveness in customer requirements forecasting. Consequently, a framework for the forecasting process is proposed with particular focus on the quantitative analysis. The selected forecasting method is utilized to forecast a given set of time series data and then compared to various existing methods. In the results and discussion section, the applicability of the proposed method is justified. Bachelor of Engineering (Mechanical Engineering) 2012-05-21T07:46:07Z 2012-05-21T07:46:07Z 2012 2012 Final Year Project (FYP) http://hdl.handle.net/10356/49531 en Nanyang Technological University 53 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Mechanical engineering
spellingShingle DRNTU::Engineering::Mechanical engineering
Ko, Hao Sheng.
Predicting future customer requirements for product planning
description Product planning is an essential phase in the product development cycle. To ensure the success of a product, companies must understand what types of customer requirements need to be presented in the product. Traditionally, the analysis of customer requirement importance rating is done using the Quality Function Deployment (QFD) approach. However it is soon realized that such analysis are only static while the importance of each product attribute veritably varies with time. Thus, forecasting of customer requirements provide a potential solution for companies which want to be ahead of time. These companies generally come from technology- and design- intensive industries such as electronics and transport. They compete in fast moving markets and hence invest hugely in product development to devise proactive strategies for probing and influencing the future. For this reason, the study aims to derive a suitable solution which emphasizes on effective and efficient short-term forecasting. This study begins by presenting different methods of forecasting - both qualitative and quantitative. The pros and cons of each method are discussed to understand their effectiveness in customer requirements forecasting. Consequently, a framework for the forecasting process is proposed with particular focus on the quantitative analysis. The selected forecasting method is utilized to forecast a given set of time series data and then compared to various existing methods. In the results and discussion section, the applicability of the proposed method is justified.
author2 Chen Chun-Hsien
author_facet Chen Chun-Hsien
Ko, Hao Sheng.
format Final Year Project
author Ko, Hao Sheng.
author_sort Ko, Hao Sheng.
title Predicting future customer requirements for product planning
title_short Predicting future customer requirements for product planning
title_full Predicting future customer requirements for product planning
title_fullStr Predicting future customer requirements for product planning
title_full_unstemmed Predicting future customer requirements for product planning
title_sort predicting future customer requirements for product planning
publishDate 2012
url http://hdl.handle.net/10356/49531
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