Modular Product Design, Considering Functions and Properties

2012 ◽  
Author(s):  
Israel Aguilera Navarrete ◽  
Alejandro A. Lozano Guzmán
Keyword(s):  
Product Design ◽  
Data Clustering ◽  
Design Problem ◽  
Modular Design ◽  
Recursive Method ◽  
Clustering Method ◽  
Data Presentation ◽  
Modular Product ◽  
Technical Solutions ◽  
Minimum Vector

In traditional machine, equipment and devices design, technical solutions are practically independent, thus increasing designs cost and complexity. Overcoming this situation has been tackled just using designers experience. In this work, a data clustering method which allows this data presentation in a more systematic way using a matrix arrangement, is shown. From this matrix, data can be reorganized in clusters with a hierarchical structure, in such a way that modular design is now more tractable. Proposed method is based on a Euclidean algorithm which allows finding the shortest vectorial distance among technical solutions. Taking product properties as vector dimensions, a recursive method for moving matrix rows and columns is applied. As a result of this procedure, the minimum vector distances are found thus being possible to identify the best technical solutions for the design problem raised. The proposed modular procedure is shown with a 30 inches oven door design.

DSM-Based Product Representation for Retirement Process-Based Modularity

2009 ◽  
Author(s):  
Xiaoxia Lai ◽  
John K. Gershenson
Keyword(s):  
Product Design ◽  
Modular Design ◽  
Design Method ◽  
Value Added ◽  
Design Methods ◽  
Process Efficiency ◽  
Modular Architecture ◽  
Product Representation ◽  
Modular Product ◽  
Product Modularity

Researchers have expanded the definition of product modularity from function-based modularity to life-cycle process-based modularity. In parallel, measures of product modularity have been developed as well as corresponding modular product design methods. However, a correct modularity measure and modular design method are not enough to realize modular product design. To apply the measure and design method correctly, product representation becomes an important aspect of modular design and imperative for realizing the promised cost savings of modularity. In this paper, a representation for retirement process-based modular design has been developed. Built upon previous representations for assembly and manufacturing-based product design, the representation includes a process similarity matrix and a process dependency matrix. The retirement process-based similarity is based on the similarity in components’ post-life intents (recycling, reuse, disposal), and either the degree of their material compatibility if the components will be recycled, or their disassembly direction or disassembly tools if they need to be disassembled from each other for retirement. Process similarity within a module leads to increased process efficiency (the elimination of non-value added tasks) from the sharing of tooling/equipment. Retirement process-based dependency is developed based on disassembly difficulty, one aspect of the physical interactions between components. Retiring components together as a module to eliminate disassembly and differential processing and reducing the disassembly difficulty between the modules can increase the efficiency of the retirement process. We have first presented which process elements we should consider for defining retirement process similarity and dependency, and then constructed the respective similarity and dependency factors tables. These tables include similarity and dependency factors, which, along with their quantifications, are used to determine a product’s modular architecture to facilitate the retirement process. Finally, a fishing reel is used to illustrate how to apply these factors tables to generate the similarity and dependency matrices that represent a product for retirement-process based modular design. Using these representations as input to the DSM-based modular design methods, we can achieve a design with a modular architecture that improves the retirement process efficiency and reduces retirement costs.

The impact of modular design and innovation on new product performance

2019 ◽  
Vol 31 (2) ◽  
pp. 370-391
Author(s):  
Hongyi Sun ◽  
Antonio Lau
Keyword(s):  
Product Development ◽  
Product Design ◽  
Product Innovation ◽  
Modular Design ◽  
New Product ◽  
Product Performance ◽  
Design System ◽  
Innovation Capability ◽  
Content Type ◽  
Modular Product

Purpose The purpose of this paper is to propose a modular product design system and a product development roadmap (PDR), which can help to improve modular design (MD) and product innovation capabilities, respectively. Their relationships with product newness (PN) and new product performance are also assessed. Design/methodology/approach The proposed model was tested through structural equation modelling using data from a survey of 153 manufacturers in the electronic and electrical appliance industries in China. Findings The findings reveal that the proposed modular product design system and PDR can improve MD and product innovation capabilities. The authors also explore the conflicting relationships of MD and product innovation capability with PN. Research limitations/implications The findings contribute to the literature by showing that MD can constrain PN while product innovation can improve it. The study provides new empirical evidence of these relationships and has strategic implications. In addition, this study identifies two product development techniques that can improve MD and innovation capability, respectively. Originality/value The authors provide new evidence of the relationship between MD and innovation capability at product level, and confirm a side effect of pursuing both in terms of new product development. Through empirical testing, the authors first verify two product development techniques for implementing modular product design and product innovation.

scholarly journals Modularity and Product Innovation in Digital Markets

2007 ◽  
Vol 6 (2) ◽  
Author(s):  
Marc Bourreau ◽  
Pinar Dogan ◽  
Matthieu Manant
Keyword(s):  
Product Design ◽  
Product Innovation ◽  
Modular Design ◽  
Building Blocks ◽  
Specific Function ◽  
Digital Goods ◽  
Modular Product ◽  
Innovation Strategies ◽  
Integrated Or ◽  
Innovation Competition

Most digital goods have a modular design; that is, they consist of complementary and distinct building blocks, called modules. Modular product design, in contrast to integrated (or integral) design, enables alteration of a specific module that is usually assigned for a specific function without necessarily requiring an entire redesign of the product. This feature facilitates product innovation. The possibility of having common modules embedded in a range of products is likely to affect firms' product innovation strategies and post-innovation competition both in traditional and digital markets. In this paper, we explore such effects with a focus on digital markets.

scholarly journals Independent Tailoring of Dose and Drug Release via a Modularized Product Design Concept for Mass Customization

Pharmaceutics ◽  
2020 ◽  
Vol 12 (8) ◽  
pp. 771
Author(s):  
Rydvikha Govender ◽  
Susanna Abrahmsén-Alami ◽  
Anette Larsson ◽  
Anders Borde ◽  
Alexander Liljeblad ◽  
...  
Keyword(s):  
Drug Release ◽  
Product Design ◽  
Mass Customization ◽  
Dosage Form ◽  
Modular Design ◽  
Release Kinetics ◽  
Product Variety ◽  
Design Concept ◽  
Modular Product ◽  
Release Profiles

Independent individualization of multiple product attributes, such as dose and drug release, is a crucial overarching requirement of pharmaceutical products for individualized therapy as is the unified integration of individualized product design with the processes and production that drive patient access to such therapy. Individualization intrinsically demands a marked increase in the number of product variants to suit smaller, more stratified patient populations. One established design strategy to provide enhanced product variety is product modularization. Despite existing customized and/or modular product design concepts, multifunctional individualization in an integrated manner is still strikingly absent in pharma. Consequently, this study aims to demonstrate multifunctional individualization through a modular product design capable of providing an increased variety of release profiles independent of dose and dosage form size. To further exhibit that increased product variety is attainable even with a low degree of product modularity, the modular design was based upon a fixed target dosage form size of approximately 200 mm3 comprising two modules, approximately 100 mm3 each. Each module contained a melt-extruded and molded formulation of 40% w/w metoprolol succinate in a PEG1500 and Kollidon® VA64 erodible hydrophilic matrix surrounded by polylactic acid and/or polyvinyl acetate as additional release rate-controlling polymers. Drug release testing confirmed the generation of predictable, combined drug release kinetics for dosage forms, independent of dose, based on a product’s constituent modules and enhanced product variety through a minimum of six dosage form release profiles from only three module variants. Based on these initial results, the potential of the reconfigurable modular product design concept is discussed for unified integration into a pharmaceutical mass customization/mass personalization context.

scholarly journals Triple-Helix Structured Model Based on Problem-Knowledge-Solution Co-evolution for Innovative Product Design Process

2020 ◽  
Vol 33 (1) ◽  
Author(s):  
Qian Hui ◽  
Yan Li ◽  
Ye Tao ◽  
Hongwei Liu
Keyword(s):  
Product Design ◽  
Design Process ◽  
Design Problem ◽  
Triple Helix ◽  
Problem Solution ◽  
Innovative Product ◽  
Innovative Design ◽  
Structured Model ◽  
Knowledge Spaces ◽  
Product Design Process

AbstractA design problem with deficient information is generally described as wicked or ill-defined. The information insufficiency leaves designers with loose settings, free environments, and a lack of strict boundaries, which provides them with more opportunities to facilitate innovation. Therefore, to capture the opportunity behind the uncertainty of a design problem, this study models an innovative design as a composite solving process, where the problem is clarified and resolved from fuzziness to satisfying solutions by interplay among design problems, knowledge, and solutions. Additionally, a triple-helix structured model for the innovative product design process is proposed based on the co-evolution of the problem, solution, and knowledge spaces, to provide designers with a distinct design strategy and method for innovative design. The three spaces interact and co-evolve through iterative mappings, including problem structuring, knowledge expansion, and solution generation. The mappings carry the information processing and decision-making activities of the design, and create the path to satisfying solutions. Finally, a case study of a reactor coolant flow distribution device is presented to demonstrate the practicability of this model and the method for innovative product design.

scholarly journals KOMPARASI METODE CLUSTERING K-MEANS DAN K-MEDOIDS DENGAN MODEL FUZZY RFM UNTUK PENGELOMPOKAN PELANGGAN

2018 ◽  
Vol 6 (2) ◽  
Author(s):  
Elly Muningsih - AMIK BSI Yogyakarta
Keyword(s):  
Data Clustering ◽  
Small Data ◽  
Clustering Methods ◽  
Monetary Model ◽  
Clustering Method ◽  
Online Sales ◽  
Rfm Model ◽  
Potential Customers ◽  
Cluster 2 ◽  
Better Than

Abstract ~ The K-Means method is one of the clustering methods that is widely used in data clustering research. While the K-Medoids method is an efficient method used for processing small data. This study aims to compare two clustering methods by grouping customers into 3 clusters according to their characteristics, namely very potential (loyal) customers, potential customers and non potential customers. The method used in this study is the K-Means clustering method and the K-Medoids method. The data used is online sales transaction. The clustering method testing is done by using a Fuzzy RFM (Recency, Frequenty and Monetary) model where the average (mean) of the third value is taken. From the data testing is known that the K-Means method is better than the K-Medoids method with an accuracy value of 90.47%. Whereas from the data processing carried out is known that cluster 1 has 16 members (customers), cluster 2 has 11 members and cluster 3 has 15 members. Keywords : clustering, K-Means method, K-Medoids method, customer, Fuzzy RFM model. Abstrak ~ Metode K-Means merupakan salah satu metode clustering yang banyak digunakan dalam penelitian pengelompokan data. Sedangkan metode K-Medoids merupakan metode yang efisien digunakan untuk pengolahan data yang kecil. Penelitian ini bertujuan untuk membandingkan atau mengkomparasi dua metode clustering dengan cara mengelompokkan pelanggan menjadi 3 cluster sesuai dengan karakteristiknya, yaitu pelanggan sangat potensial (loyal), pelanggan potensial dan pelanggan kurang (tidak) potensial. Metode yang digunakan dalam penelitian ini adalah metode clustering K-Means dan metode K-Medoids. Data yang digunakan adalah data transaksi penjualan online. Pengujian metode clustering yang dilakukan adalah dengan menggunakan model Fuzzy RFM (Recency, Frequenty dan Monetary) dimana diambil rata-rata (mean) dari nilai ketiga tersebut. Dari pengujian data diketahui bahwa metode K-Means lebih baik dari metode K-Medoids dengan nilai akurasi 90,47%. Sedangkan dari pengolahan data yang dilakukan diketahui bahwa cluster 1 memiliki 16 anggota (pelanggan), cluster 2 memiliki 11 anggota dan cluster 3 memiliki 15 anggota. Kata kunci : clustering, metode K-Means, metode K-Medoids, pelanggan, model Fuzzy RFM.

scholarly journals A Max-Min clustering method for $k$-means algorithm of data clustering

2012 ◽  
Vol 8 (3) ◽  
pp. 565-575 ◽  
Author(s):  
Yubo Yuan ◽  
Wanjun Zhang ◽  
Baolan Yuan
Keyword(s):  
Data Clustering ◽  
Clustering Method

scholarly journals FUZZY CLUSTERING MEANS (FCM) DALAM PENENTUAN LOKASI PENERTIBAN PENYAKIT MASYARAKAT PADA KEGIATAN PEMBINAAN SOSIAL SATPOL-PP WILAYAH SUMATRA-BARAT

Petir ◽  
2018 ◽  
Vol 10 (1) ◽  
Author(s):  
Redaksi Tim Jurnal
Keyword(s):  
Fuzzy Clustering ◽  
Community Policing ◽  
Sex Workers ◽  
Data Clustering ◽  
Behavior Patterns ◽  
Clustering Method ◽  
Street Vendors ◽  
West Sumatra ◽  
Municipal Police ◽  
Disease Community

Based on the data summary disease community policing activities by municipal police pp city of West Sumatra in January 2010 to December 2014, there were as many as 1660 cases of approximately 20 locations enforcement. Each location policing there are various types of activities are classified as a disease of society. Based on data obtained are activities that have curbed such as street vendors, illegal buildings, street children, street, commercial sex workers (CSWs) and others. Number of activities at each point different locations each year, thus requiring data clustering method to facilitate the investigation team in determining the behavior patterns of disease activity as a description of the location community policing a priority next year. The method used in this data clustering method is to use Fuzzy Clustering Means (FCM)

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