Product Platform Design Through Sensitivity Analysis and Cluster Analysis

2004 ◽  
Author(s):  
Zhihuang Dai ◽  
Michael J. Scott
Keyword(s):  
Cluster Analysis ◽  
Sensitivity Analysis ◽  
Product Family ◽  
Cost Savings ◽  
Vital Role ◽  
Product Platform ◽  
Platform Design ◽  
Efficiency And Effectiveness ◽  
Efficiency Cost ◽  
And Cluster Analysis

Product platform design plays a vital role in determining two important aspects of a products family: efficiency (cost savings due to commonality) and effectiveness (capability to satisfy performance requirements). In this work, sensitivity analysis and cluster analysis are used to improve both efficiency and effectiveness of a product family design. A strategy of commonization is employed to form a platform. An illustrative example is used to demonstrate the merits of the proposed method, and the results are compared with existing results from the literature.

A Tool to Integrate Design for Assembly During Product Platform Design

2008 ◽  
Author(s):  
Amar Pandit ◽  
Zahed Siddique
Keyword(s):  
Product Family ◽  
Product Platform ◽  
Design For Assembly ◽  
Design And Development ◽  
Single Product ◽  
Entire Family ◽  
Platform Design ◽  
Product Families ◽  
Integrate Design

To survive in the current market, many companies are moving toward design and development of product families using a platform approach. To effectively develop a family of products, companies have to consider both component and assembly perspectives. The assembly perspective has many issues associated with it for developing common platforms, which includes assemblability evaluation for the entire family. Application of Design for Assembly techniques to evaluate product family will require modifications to the current single product DFA method. In this paper a product family DFA tool and guidelines are presented. The application of this product family DFA tool is illustrated using Walkman® and Coffeemaker product family.

Adaptable Product Platform-Based Product Family Design of Crane

2013 ◽  
Vol 475-476 ◽  
pp. 1402-1405
Author(s):  
Xian Fu Cheng ◽  
Qi Hang Zhu
Keyword(s):  
Sensitivity Analysis ◽  
Design Method ◽  
Product Family ◽  
Design Parameters ◽  
Design Matrix ◽  
Product Platform ◽  
Bridge Crane ◽  
Functional Requirements ◽  
Product Family Design ◽  
Design Relation

A new design method for product family was presented based on adaptable product platform. Firstly, customer demands were analyzed for bridge crane. Secondly, axiomatic design was utilized as framework to zigzaging mapping between functional requirements and design parameters, and design matrix was established. Then the sensitivity analysis among design parameters and between design parameters and functional requirements was done. The design relation matrix was established and relation degree among design parameters was calculated. Based on above analysis, the platform parameters were identified.

A Cost Model for Optimal Design of Hierarchic Product Platform under Coupled Architecture

2012 ◽  
Vol 452-453 ◽  
pp. 516-520
Author(s):  
Yan Ling Cai ◽  
Zhen Hua Cui
Keyword(s):  
Optimal Design ◽  
Cost Model ◽  
Product Family ◽  
Product Platform ◽  
Product Family Design ◽  
Flexible Design ◽  
Platform Design ◽  
Cost Drivers ◽  
Difficult Decision

Product platform design is essentially a difficult decision to make, thus a hierarchic platform has been proposed to solve the inherent tradeoff for optimization. However, architecture coupling adds on complexity of the platform design. This paper proposes an improved cost model for the optimal design of platform design in the hierarchic manner with the consideration of the architecture coupling. This cost model uniquely treats the architecture couplings and their decoupling interfaces as latent cost drivers to enable the flexible design of product platform and its family. As a support, the underlying tradeoff mechanism of platform-based product family design is also analyzed in this paper.

Scalable Platform Robust Reconfiguration Method with Sensitivity Analysis and Fuzzy Clustering

2011 ◽  
Vol 52-54 ◽  
pp. 1026-1031 ◽  
Author(s):  
Zhong Kai Li ◽  
Xiu Rong Li ◽  
Zhen Cai Zhu
Keyword(s):  
Sensitivity Analysis ◽  
Fuzzy Clustering ◽  
Design Theory ◽  
Product Family ◽  
Preference Aggregation ◽  
Cluster Number ◽  
Constant Multiple ◽  
Efficiency And Effectiveness ◽  
Variable Sensitivity ◽  
Scaling Variables

For improving the quick responses and instances quality in platform based product family design, a scalable platform reconfiguration method using sensitivity analysis and fuzzy clustering is proposed with robust design theory. The possible platform constants and scaling variables sets are divided by design variable sensitivity analysis firstly, during which multiple performances are aggregated by preference aggregation to ease the sensitivity for total product. Then the performance preference, robust deviation and constraint violation changes caused by constant sharing are clustered by fuzzy c-means algorithm (FCM) to reasonably plan the constant multiple platforms sharing strategy. A fuzzy percentage index is introduced in FCM to determine the optimal cluster number in fuzzy clustering. Finally the instances deviated from platform are optimized to set scaling variables. The efficiency and effectiveness of proposed method is illustrated by the optimization of scalable capacitor-run single-phase induction motor families, and the results are compared against previous work.

scholarly journals Morphometrics of the tribe Merremieae Austin (Convolvulacae) from India

2014 ◽  
Vol 21 (2) ◽  
pp. 121-128
Author(s):  
S. A. Deshmukh ◽  
Vinod B. Shimpale
Keyword(s):  
Principal Component Analysis ◽  
Cluster Analysis ◽  
Principal Component ◽  
Vital Role ◽  
Leaf Length ◽  
Petiole Length ◽  
Quantitative Characters ◽  
Plant Taxon ◽  
And Cluster Analysis ◽  
The Relationship

Sixteen species of the tribe Merremieae Austin (Convolvulaceae) from India were morphometrically analyzed with the help of Principal component analysis (PCA) and cluster analysis to explain the relationship between them. PCA showed that quantitative characters like corolla breadth, fruit breadth and length of paracot leaf play important role in bringing together all the species in the same tribe while the characters like leaf length, leaf breadth, petiole length, pedicel length, calyx length and calyx breadth play vital role in the delimitation of taxa within the tribe Merremieae. Cluster analysis and dendrogram revealed that, the genus Operculina S. Manso is segregated from Merremia Denns. ex Endlich.; genus Hewittia Wight. & Arn. is very close to Merremia, probably originated from M. aegyptia (L.) Urban and M. dissecta (Jacq.) Hall. f. cluster and genus Xenostegia Austin & Staples is isolated in the separate cluster.DOI: http://dx.doi.org/10.3329/bjpt.v21i2.21350Bangladesh J. Plant Taxon. 21(2): 121-128, 2014 (December)

Application of Cloud Counting in Product Platform Design Services Research

2014 ◽  
Vol 513-517 ◽  
pp. 1765-1768
Author(s):  
Dan Dan He ◽  
Fang Qin ◽  
Can Wang
Keyword(s):  
Cloud Computing ◽  
High Efficiency ◽  
Product Family ◽  
Product Platform ◽  
Cloud Data Center ◽  
Services Research ◽  
Service Architecture ◽  
Platform Design ◽  
Cloud Data ◽  
Development Costs

Product platform is a key theory in mass customization method, and it can satisfy diversely customer needs at high efficiency service and reduce enterprise product development costs. This dissertation explores the product platform development routing and design ability service and resources virtualization and other key technologies in the migration process of product platform to cloud platform in the background of computing clouds technology and product platform theory. It proposes the product platform design service architecture based on cloud computing and its design service modes and the related key technology to the study, including product platform resources virtualization in cloud computing environment and product family design ability services technology and product platform cloud data center retrieval technology, etc.

Product Platform Design and Optimization: Status and Promise

2003 ◽  
Author(s):  
Timothy W. Simpson
Keyword(s):  
Design Research ◽  
Product Family ◽  
Optimization Techniques ◽  
Lead Times ◽  
Product Platform ◽  
Research Activity ◽  
Global Marketplace ◽  
Platform Design ◽  
Product Families ◽  
Design And Optimization

In an effort to improve customization for today’s highly competitive global marketplace, many companies are utilizing product families to increase variety, shorten lead-times, and reduce costs. The key to a successful product family is the product platform from which it is derived either by adding, removing, or substituting one or more modules to the platform or by scaling the platform in one or more dimensions to target specific market niches. This nascent field of engineering design research has matured rapidly in the past decade, and this paper provides an extensive review of the research activity that has occurred during that time to facilitate product platform design and optimization. Techniques for identifying platform leveraging strategies within a product family are reviewed along with optimization-based approaches to help automate the design of a product platform and its corresponding family of products. Examples from both industry and academia are presented throughout the paper to highlight the benefits of platform-based product development, and the paper concludes with a discussion of promising research directions to help bridge the gap between planning and managing families of products and designing and manufacturing them.

Sign in / Sign up

Export Citation Format

Share Document