Customer Needs Based Product Family Sizing Design: The Viper Case Study

2013 ◽  
pp. 683-706
Author(s):  
Cassandra Sotos ◽  
Gül E. Okudan Kremer ◽  
Gülşen Akman
Keyword(s):  
Product Family ◽  
Customer Needs

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.

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.

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.

Exploring Effective Change Propagation in a Product Family Design

2017 ◽  
Vol 139 (12) ◽  
Author(s):  
Inayat Ullah ◽  
Dunbing Tang ◽  
Qi Wang ◽  
Leilei Yin
Keyword(s):  
Product Family ◽  
Design Structure Matrix ◽  
Change Propagation ◽  
Effective Change ◽  
Design Structure ◽  
Design Changes ◽  
Requirements Change ◽  
Change Impact ◽  
Design Requirements

Product family (PF) design is a widely used strategy in the industry, as it allows meeting diverse design requirements. Change propagation in any PF is difficult to predict. Consequently, while numerous design change management methodologies presently exist, their application is restricted to a single artifact. This issue is overcome in the present study. The proposed framework explores effective change propagation paths (CPPs) by considering the risks associated with design changes in the PF with the aim of minimizing the overall redesign cost. The propagated risk, which would result in rework, is quantified in terms of change impact and propagation likelihood. Moreover, a design structure matrix (DSM) based mathematical model and an algorithm for its implementation are proposed to investigate the change propagation across the PF. Finally, to demonstrate their effectiveness, a PF of electric kettles is examined in a case study. The study findings confirm that the proposed technique is appropriate for evaluating different CPPs in PF.

A Data Mining Approach to Forming Generic Bills of Materials in Support of Variant Design Activities

2004 ◽  
Vol 4 (4) ◽  
pp. 316-328 ◽  
Author(s):  
Carol J. Romanowski , ◽  
Rakesh Nagi
Keyword(s):  
Data Mining ◽  
Product Family ◽  
Research Direction ◽  
Design Constraints ◽  
Variant Design ◽  
Data Mining Approach ◽  
Design Activities ◽  
Using Data ◽  
New Research

In variant design, the proliferation of bills of materials makes it difficult for designers to find previous designs that would aid in completing a new design task. This research presents a novel, data mining approach to forming generic bills of materials (GBOMs), entities that represent the different variants in a product family and facilitate the search for similar designs and configuration of new variants. The technical difficulties include: (i) developing families or categories for products, assemblies, and component parts; (ii) generalizing purchased parts and quantifying their similarity; (iii) performing tree union; and (iv) establishing design constraints. These challenges are met through data mining methods such as text and tree mining, a new tree union procedure, and embodying the GBOM and design constraints in constrained XML. The paper concludes with a case study, using data from a manufacturer of nurse call devices, and identifies a new research direction for data mining motivated by the domains of engineering design and information.

A Market-Based Design Strategy for a Universal Product Family

2012 ◽  
Vol 134 (11) ◽  
Author(s):  
Seung Ki Moon ◽  
Daniel A. McAdams
Keyword(s):  
Mass Customization ◽  
Universal Design ◽  
Product Family ◽  
Cost Effective ◽  
Differentiated Products ◽  
Product Family Design ◽  
Design Strategies ◽  
Market Segments ◽  
Light Duty

Companies that generate a variety of products and services are creating, and increasing research on, mass-customized products in order to satisfy customers’ specific needs. Currently, the majority of effort is focused on consumers who are without disabilities. The research presented here is motivated by the need to provide a basis of product design methods for users with some disability—often called universal design (UD). Product family design is a way to achieve cost-effective mass customization by allowing highly differentiated products serving distinct market segments to be developed from a common platform. By extending concepts from product family design and mass customization to universal design, we propose a method for developing and evaluating a universal product family within uncertain market environments. We will model design strategies for a universal product family as a market economy where product family platform configurations are generated through market segments based on a product platform and customers’ preferences. A coalitional game is employed to evaluate which design strategies provide more benefit when included in the platform based on the marginal profit contribution of each strategy. To demonstrate an implementation of the proposed method, we use a case study involving a family of light-duty trucks.

A Product Variety Tradeoff Evaluation Method for a Family of Cordless Drill Transmissions

1999 ◽  
Author(s):  
Carolyn G. Conner ◽  
Joseph P. De Kroon ◽  
Farrokh Mistree
Keyword(s):  
Evaluation Method ◽  
Product Family ◽  
Product Variety ◽  
Product Performance ◽  
Product Platform ◽  
Product Platforms ◽  
Individual Product ◽  
Alternative Product ◽  
Per Se

Abstract In this paper we present the Product Variety Tradeoff Evaluation Method for assessment of alternative product platforms in product family design. The Product Variety Tradeoff Evaluation Method is an attention-directing tool for evaluating tradeoffs between commonality and individual product performance for product platform alternatives with differing levels of commonality. We apply the Product Variety Tradeoff Evaluation Method to a case study in transmission redesign for a family of cordless drills. The emphasis in this paper is placed on the method rather than on the results, per se.

scholarly journals Analysis of Demand Disruption on Product Availability in the Retail Industry

2021 ◽  
Vol 5 (1) ◽  
pp. 12-20
Author(s):  
Nuarania Nadif ◽  
Iwan Vanany
Keyword(s):  
Risk Assessment ◽  
Relevant Literature ◽  
Product Family ◽  
Customer Behavior ◽  
Shopping Behavior ◽  
Powerful Method ◽  
Product Availability ◽  
New Evidence ◽  
Business Sectors

The customer behavior in shopping were changing the demand disruptions when the COVID-19 pandemic attacked the countries. Retail industries are one of business sectors which were directly impacted the availability of item products. The purpose of this study is to understand the level of demand disruptions of COVID-19 pandemic using Bayesian Network (BN). BN method is powerful method to assess and decide the uncertainly of demand and risk. Based on relevant literature and interviews, the hierarchy of BN were developed and stock out data to represent the product of availability in 5 case study were collected in case study. Finally, the analysis to understand the level of demand disruptions each item products, product family and categories have been performed. This paper provides a new evidence by changing of shopping behavior when the COVID-19 pandemic attached in Indonesia and presents the BN application could be used to handle risk assessment based on stock out data systematically and comprehensively.

Prioritization of Design Requirements for Quality Engineering Education

2015 ◽  
pp. 774-797
Author(s):  
K. Venkatasubbaiah ◽  
N. Chandra Shekhar ◽  
Narayana Rao Kandukuri
Keyword(s):  
Engineering Education ◽  
Quality Function Deployment ◽  
Educational Institutions ◽  
Quality Engineering ◽  
Total Quality ◽  
Customer Needs ◽  
Customer Group ◽  
Design Requirements ◽  
Voice Of Customer

The educational institutions must strive to impart quality education and have to create greater satisfaction in their customer group. Quality Function Deployment (QFD) which is a customer driven tool in implementing Total Quality Management (TQM) helps to accomplish this task. One of the phases in QFD methodology is known as House of Quality (HoQ), which is concerned with translating the voice of customer into design requirements by stakeholders. Design requirements will determine how the customer needs are to be fulfilled. This paper presents an integrated methodology (HoQ-ANP) to translate Voices of Customer (VoC) or customer needs (CNs) into design requirements (DRs) and to determine the importance weights of DRs by considering the complex dependency relationships between and within Customer needs and DRs for total quality in engineering education. In order to deal with the vagueness, uncertainty and diversity in dependency relationships fuzzy set theory and group decision-making technique are used to determine the priority structure of CNs, inner dependence among Customer Needs (CNs), Inner dependence among DRs and inter-relationship between CNs & DRs. Prioritization of design requirements for quality engineering education is determined through a case study by employing HoQ-ANP methodology.

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