Analyzing Module Commonality for Platform Design in Functional and Physical Domain

2005 ◽  
Author(s):  
Katja Ho¨ltta¨-Otto
Keyword(s):  
Cost Savings ◽  
Functional Domain ◽  
Physical Domain ◽  
Decision Tool ◽  
Platform Design ◽  
Single Measure ◽  
Product Platforms ◽  
The Common ◽  
Modular Platform ◽  
Common Platform

Product platforms can provide many advantages from cost savings to a large variety of products with less effort than without platforms. The key choice in modular platform design is the choice of common platform modules. We developed an algorithm to aid in this choice. The algorithm is based on calculating the distance between function inputs and outputs, in the functional domain, or component attributes, in the physical domain. Unlike other methods before, this method can identify commonalities from any or mixed degrees of decomposition and it is not limited to a single measure of commonality. In addition we analyze the degree of commonality quantitatively. The common module candidates are clustered to a hierarchical dendrogram that serves as a decision tool for the designer. It is shown how the algorithm identifies common module candidates for a family of sensors in the functional domain and for a family of micro machines in the physical domain.

An Extended Design Platform Identification Method

2010 ◽  
Vol 148-149 ◽  
pp. 611-614
Author(s):  
Kang Lin ◽  
Hui Wang ◽  
Jin Guo Li
Keyword(s):  
Product Design ◽  
Design Process ◽  
Similarity Measure ◽  
Design Method ◽  
Design Stage ◽  
Platform Design ◽  
Module Identification ◽  
Product Design Process ◽  
The Common ◽  
Common Platform

Nowadays a general platform has played an important role in the product design process. As the traditional similarity measure used in module division is to the design stage in which the features and set are static, it is impossible to find the similar components in alterative design stages. For this reason, a new common platform design method on extension-distance is presented. According to build the relative function, the threshold used in the key module identification is easy to generate. Then the tolerance-constraint functions in the customized components division for the common platform generation. Then the adaptability measure is used to find the optimal case in the database. The measure has been used in the gasoline saw common platform design process.

Research on Extended Design Platform Recognition Method

2011 ◽  
Vol 308-310 ◽  
pp. 461-464
Author(s):  
Ji Li He
Keyword(s):  
Product Design ◽  
Design Process ◽  
Design Method ◽  
Design Stage ◽  
Recognition Method ◽  
Constraint Function ◽  
Platform Design ◽  
Product Design Process ◽  
The Common ◽  
Common Platform

Nowadays a general platform has played an important role in the product design process. As the traditional similarity measure used in module division is to the design stage in which the features and set are static, it is impossible to find the similar components in alterative design stages. For this reason, a new common platform design method on extension-distance is presented. According to build the relative function, the threshold used in the key module recognition is easy to generate. Then the tolerance-constraint function in the customized components division for the common platform generation. Then the adaptability measure is used to find the optimal case in the database. The measure has been used in the gasoline saw common platform design process.

Common Platform Identification for Product Family on Extension Clustering Method

2009 ◽  
Vol 69-70 ◽  
pp. 606-610
Author(s):  
Wan Liang Wang ◽  
F.G. Zhao ◽  
Yan Wei Zhao ◽  
N. Su ◽  
F. Zhang
Keyword(s):  
Design Method ◽  
Product Family ◽  
Cluster Method ◽  
Clustering Method ◽  
Constraint Function ◽  
Platform Design ◽  
Product Families ◽  
Adjacent Structure ◽  
The Common ◽  
Common Platform

Common platform design for product families is an important step in the modularity field. It is impossible to find the similar components in alterative design stages for the traditional similarity measure used in module division. So, a new common platform design method on extension-distance is presented. In different design environments, three distance concepts are discussed, namely, feature-to-feature, feature-to-set and set-to-set. The first concept will be employed as the base for extension-cluster method in the platform design on the thought of each structure’ s features between two adjacent structure components, while the second is used to build the tolerance-constraint function in the customized components division for the common platform generation. Last the adaptability measure is used to find the optimal case in the database. The method took the gasoline saw as an example.

Optimal Kinematics Design of an Industrial Robot Family

2008 ◽  
Author(s):  
Johan O¨lvander ◽  
Xiaolong Feng ◽  
Bo Holmgren
Keyword(s):  
Mass Customization ◽  
Industrial Robot ◽  
Product Family ◽  
Industrial Robots ◽  
Mathematical Framework ◽  
Product Family Design ◽  
Product Families ◽  
The Common ◽  
Object Of Study ◽  
Common Platform

Product family design is a well recognized method to address the demands of mass customization. A potential drawback of product families is that the performance of individual members are reduced due to the constraints added by the common platform, i.e. parts and components need to be shared by other family members. This paper presents a formal mathematical framework where the product family design problem is stated as an optimization problem and where optimization is used to find an optimal product family. The object of study is kinematics design of a family of industrial robots. The robot is a serial manipulator where different robots share arms from a common platform. The objective is to show the trade-off between the size of the common platform and the kinematics performance of the robot.

Lean offshore platform design

2017 ◽  
Vol 57 (2) ◽  
pp. 635
Author(s):  
Drew Sage ◽  
Michael Bieganski ◽  
Andrew Grant
Keyword(s):  
Design Thinking ◽  
Oil And Gas ◽  
Cost Savings ◽  
Personal Safety ◽  
Significant Cost ◽  
Platform Design ◽  
Potential Benefits ◽  
Design Requirements ◽  
Offshore Oil And Gas ◽  
Offshore Oil

Current industry practices of prescriptive design and duplication of previous work on offshore oil and gas facilities have often caused relatively simple design requirements to be executed as large, maintenance-heavy, expensive platforms. The question of whether equipment is technically justified is rarely asked, and the potential benefits of minimised systems are rarely realised. By adopting lean design thinking, where all equipment must be technically justified as essential to operation before being included on the platform, the benefits are twofold. First, personal safety is improved because less equipment is required to be maintained offshore, meaning fewer offshore man-hours. Second, significant cost savings can be achieved because less offshore equipment means smaller platforms. This paper outlines the design, operating, manning and maintenance philosophies that form the basis for lean design thinking, and the effect this thinking has on both offshore man-hours and facility costs. Two case studies have been undertaken to evaluate the quantifiable differences between conventional platform design and lean platform design. Aker Solutions’ Lean Semi has been compared with a conventional semisubmersible platform to show that substructure weight savings of up to 30% are achievable; in addition, Aker Solutions’ Hybrid Compression Facility has been compared with a conventional compression platform to show that topsides weight savings of more than 50% are achievable.

Exploring Requirement Change Propagation Through the Physical and Functional Domain

2015 ◽  
Author(s):  
Phyo Htet Hein ◽  
Varun Menon ◽  
Beshoy Morkos
Keyword(s):  
Natural Language ◽  
Change Propagation ◽  
Functional Domain ◽  
Physical Domain ◽  
Language Data ◽  
Research Questions ◽  
Requirement Change ◽  
Propagation Prediction ◽  
Requirements Document

Prior research performed by Morkos [1], culminated in the automated requirement change propagation prediction (ARCPP) tool which utilized natural language data in requirements to predict change propagation throughout a requirements document as a result of an initiating requirement change. Whereas the prior research proved requirements can be used to predict change propagation, the purpose of this case study is to understand why. Specifically, what parts of a requirement affect its ability to predict change propagation? This is performed by addressing two key research questions: (1) Is the requirement review depth affected by the number of relators selected to relate requirements and (2) What elements of a requirement are responsible for instigating change propagation, the physical (nouns) or functional (verbs) domain? The results of this study assist in understanding whether the physical or functional domain have a greater effect on the instigation of change propagation. The results indicated that the review depth, an indicator of the performance of the ARCPP tool, is not affected by the number of relators, but rather by the ability of relators in relating the propagating relationships. Further, nouns are found to be more contributing to predicting change propagation in requirements. Therefore, the physical domain is more effective in predicting requirement change propagation than the functional domain.

scholarly journals IDENTIFICATION OF TECHNOLOGY INTEGRATION CHALLENGES AT TWO GLOBAL AUTOMOTIVE OEMS

2020 ◽  
Vol 1 ◽  
pp. 2245-2254
Author(s):  
I. Alonso Fernández ◽  
M. Panarotto ◽  
O. Isaksson
Keyword(s):  
Technology Integration ◽  
Automotive Industry ◽  
New Technologies ◽  
Emerging Technologies ◽  
Cost Effective ◽  
Product Variety ◽  
Technological Innovations ◽  
Platform Design ◽  
Product Platforms

AbstractPlatform design has been firmly established in the automotive industry as a strategy to provide wider product variety while maintaining cost effective production. But this strategy can struggle to keep up with the pace and nature of emerging technologies. This paper reviews the existing approaches to modelling product platforms, and showcases the challenges at OEMs introducing new technological innovations in their platforms. A gap is identified in the methods to assess the ability of existing platforms to integrate new technologies whenever they become available.

Introduction of a Product Family Penalty Function Using Physical Programming

2002 ◽  
Vol 124 (2) ◽  
pp. 164-172 ◽  
Author(s):  
Achille Messac ◽  
Michael P. Martinez ◽  
Timothy W. Simpson
Keyword(s):  
Penalty Function ◽  
Product Family ◽  
Product Variety ◽  
Product Platform ◽  
Product Families ◽  
Physical Programming ◽  
Product Platforms ◽  
Scaling Parameters ◽  
The Common ◽  
Selection Of

In an effort to increase customization for today’s highly competitive global markets, many companies are looking to product families to increase product variety and shorten product lead-times while reducing costs. The key to a successful product family is the common product platform around which the product family is derived. Building on our previous work in product family design, we introduce a product family penalty function (PFPF) in this paper to aid in the selection of common and scaling parameters for families of products derived from scalable product platforms. The implementation of the PFPF utilizes the powerful physical programming paradigm to formulate the problem in terms of physically meaningful parameters. To demonstrate the proposed approach, a family of electric motors is developed and compared against previous results. We find that the PFPF enables us to properly balance commonality and performance within the product family through the judicious selection of the common parameters that constitute the product platform and the scaling parameters used to instantiate the product family.

A Product Dissection-Based Methodology to Benchmark Product Family Design Alternatives

2009 ◽  
Vol 131 (4) ◽  
Author(s):  
Henri J. Thevenot ◽  
Timothy W. Simpson
Keyword(s):  
Product Family ◽  
Cost Savings ◽  
Production Costs ◽  
Manufacturing Cost ◽  
Successful Implementation ◽  
Product Family Design ◽  
Potential Cost ◽  
Product Families ◽  
Product Platforms ◽  
Design Alternatives

Today’s companies are pressured to develop platform-based product families to increase variety, while keeping production costs low. Determining why a platform works, and alternatively why it does not, is an important step in the successful implementation of product families and product platforms in any industry. Internal and competitive benchmarking is essential to obtain knowledge of how successful product families are implemented, thus avoiding potential pitfalls of a poor product platform design strategy. While the two fields of product family design and benchmarking have been growing rapidly lately, we have found few tools that combine the two for product family benchmarking. To address this emerging need, we introduce the product family benchmarking method (PFbenchmark) to assess product family design alternatives (PFDAs) based on commonality/variety tradeoff and cost analysis. The proposed method is based on product family dissection, and utilizes the Comprehensive Metric for Commonality developed in previous work to assess the level of commonality and variety in each PFDA, as well as the corresponding manufacturing cost. The method compares not only (1) existing PFDAs but also (2) the potential cost savings and commonality/variety improvement after redesign using two plots—the commonality/variety plot and the cost plot—enabling more effective comparisons across PFDAs. An example of benchmarking of two families of valves is presented to demonstrate the proposed method.

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