Clustering and Rough Set-Based Knowledge Discovery for Product Family Planning

2007 ◽  
Vol 10-12 ◽  
pp. 45-50
Author(s):  
C.J. Zhou ◽  
Z.H. Lin
Keyword(s):  
Family Planning ◽  
Knowledge Discovery ◽  
Rough Set ◽  
Decision Rules ◽  
Product Family ◽  
Design Elements ◽  
Customer Needs ◽  
Mapping Process

Product family planning has received much attention from both academia and industries. It aims at incorporating customers’ needs into design elements of product family. The main challenger for product family planning originates from difficulties in mapping customer needs to product family specifications. This paper intends to develop a method to improve the mapping process by reusing knowledge from purchased products according to the satisfied customer needs. A knowledge discovery model for product family planning is proposed, where clustering is adopted to partition the purchased products so that commonality of product family could be effectively addressed and rough set is employed to extract the more concise decision rules. A case study of air condition is reported to illustrate the feasibility of proposed approach and associated algorithms.

Hybrid Association Mining and Refinement for Affective Mapping in Emotional Design

2010 ◽  
Vol 10 (3) ◽  
Author(s):  
Feng Zhou ◽  
Jianxin Roger Jiao ◽  
Dirk Schaefer ◽  
Songlin Chen
Keyword(s):  
Interior Design ◽  
Rough Set ◽  
Association Mining ◽  
Rule Discovery ◽  
Emotional Design ◽  
Design Elements ◽  
Affective Quality ◽  
Mapping Process ◽  
Rule Refinement

Emotional design entails a bidirectional affective mapping process between affective needs in the customer domain and design elements in the designer domain. To leverage both affective and engineering concerns, this paper proposes a hybrid association mining and refinement (AMR) system to support affective mapping decisions. Rough set and K optimal rule discovery techniques are applied to identify hidden relations underlying forward affective mapping. A rule refinement measure is formulated in terms of affective quality. Ordinal logistic regression (OLR) is derived to model backward affective mapping. Based on conjoint analysis, a weighted OLR model is developed as a benchmark of the initial OLR model for backward refinement. A case study of truck cab interior design is presented to demonstrate the feasibility and potential of the hybrid AMR system for decision support to forward and backward affective mapping.

Affective Human Factors Design with Ambient Intelligence for Product Ecosystems

2010 ◽  
pp. 162-181
Author(s):  
Roger J. Jiao ◽  
Qianli Xu
Keyword(s):  
Human Factors ◽  
Ambient Intelligence ◽  
Living Room ◽  
Design Framework ◽  
Design Elements ◽  
Customer Needs ◽  
Competitive Edge ◽  
Factor Design ◽  
Affective Needs

The fulfillment of affective customers needs may award the producer extra premium in gaining a competitive edge. This entails a number of technical challenges to be addressed, such as, the elicitation, evaluation, and fulfillment of affective needs, as well as the evaluation of capability of producers to launch the planned products. To tackle these issues, this research proposes an affective human factor design framework to facilitate decision-making in designing product ecosystems. In particular, ambient intelligence techniques are applied to elicit affective customer needs. An analytical model is proposed to support affective design analysis. Utility measure and conjoint analysis are employed to quantify users’ affective satisfaction, while the producers’ capability to fulfill the respective customer needs is evaluated using a capacity index. Association rule mining techniques are applied to model the mapping of affective needs to design elements. Configuration design of product ecosystems is optimized with a heuristic genetic algorithm. A case study of designing the living room ecosystem is reported with dual considerations of customers’ satisfaction and producer’s capacities. It is demonstrated that the affective human factors design framework can effectively manage the elicitation, analysis, and fulfillment of affective customer needs.

An Integrated Tourism Model based on Local Identity for Ecological, Historical, and Cultural Tourism

2018 ◽  
Vol 3 (7) ◽  
Author(s):  
Natapon Anusorntharangkul ◽  
Yanin Rugwongwan
Keyword(s):  
Environmental Design ◽  
Cultural Tourism ◽  
Marketing Strategies ◽  
Point Of View ◽  
Local Identity ◽  
Design Elements ◽  
Resources Management ◽  
The North ◽  
North Eastern

The objective of this paper is to study local identity and explore the potential for regional resources management and valuation of the historic environment a case study of the north-eastern provinces of Thailand, for guiding the tourism environmental design elements. The point of view has the goal creative integrate tourism model and product development from local identity embedded localism. This concept advocates the philosophy that tourism businesses must develop products and marketing strategies that not only address the needs of consumers but also safeguard the local identity. 

Fertility and Family Planning in Taiwan: A Case Study of the Demographic Transition

1964 ◽  
Vol 70 (1) ◽  
pp. 16-27 ◽  
Author(s):  
Ronald Freedman ◽  
John Y. Takeshita ◽  
T. H. Sun
Keyword(s):  
Family Planning ◽  
Demographic Transition

Research on the Design and Extraction of Vehicle Brand Form Gene

2013 ◽  
Vol 483 ◽  
pp. 497-501
Author(s):  
Xiao Li Chen ◽  
Xiang Li
Keyword(s):  
Product Family ◽  
Essential Elements ◽  
Product Diversification ◽  
Design Concept ◽  
Brand Value ◽  
Design Features ◽  
Modern Enterprise

Product family is a series of products with similar characteristics. It is a strategy used by modern enterprise to achieve product diversification with limited development, manufacturing and service. Product DNA is the design commonality of enterprises product family, it is distinctive and aesthetic by reflecting the company's brand value and design concept, in addition ,it include some essential elements such as form, color, material and composition. This paper introduces the methods of drawing product DNA and analysing the relevance of design features to brand style by case study.

scholarly journals Knowledge discovery from emergency ambulance dispatch during COVID-19: A case study of Nagoya City, Japan

2021 ◽  
pp. 103743
Author(s):  
Essam A. Rashed ◽  
Sachiko Kodera ◽  
Hidenobu Shirakami ◽  
Ryotetsu Kawaguchi ◽  
Kazuhiro Watanabe ◽  
...  
Keyword(s):  
Knowledge Discovery ◽  
Ambulance Dispatch ◽  
Emergency Ambulance

Product Analysis and Variants Derivation Based on a Semantically Annotated Product Family Ontology

2009 ◽  
Author(s):  
Soon Chong Johnson Lim ◽  
Ying Liu ◽  
Wing Bun Lee
Keyword(s):  
Semantic Annotation ◽  
Product Family ◽  
Relevant Information ◽  
Product Analysis ◽  
Laptop Computer ◽  
Family Analysis ◽  
Design And Manufacturing ◽  
Commonality Analysis ◽  
Current Representation

In literature, there are a number of indexes suggested that serve as the indicator of commonality among product components, modules and variants. However, as these elements are increasingly interconnected with aspects other than the component view, the existing commonality metrics are unable to effectively model these aspects due to their limitation in capturing relevant information for analysis. Therefore, there exists a need to consider multiple design and manufacturing aspects in commonality metrics so that a comprehensive view of the commonality among product variants can be presented. In the current representation schemes proposed for product family modeling, ontology is one of the most promising ones to model the complex semantic relations among various elements in a product family. Nevertheless, the research and application of ontology in the analysis of a product family has so far received little attention. In this paper, we proposed a framework to generate a semantically annotated multi-facet product family ontology. Using a case study of a laptop computer family, we suggest and demonstrate a new commonality analysis approach based on the semantically annotated multi-facet laptop product family ontology. Together with a new method of deriving product variants based on the aforementioned ontology, our approach illustrates the merits of using semantic annotation in assisting ontology based product family analysis.

scholarly journals Partnerships for Policy Development: A Case Study From Uganda’s Costed Implementation Plan for Family Planning

2016 ◽  
Vol 4 (2) ◽  
pp. 284-299 ◽  
Author(s):  
Alyson B Lipsky ◽  
James N Gribble ◽  
Linda Cahaelen ◽  
Suneeta Sharma
Keyword(s):  
Family Planning ◽  
Policy Development ◽  
Implementation Plan
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