Engineering Reconfigurable Product Families - Architecting the Variability Infrastructure of a Product Family On-Chip

Author(s):  
Michel Jaring
2020 ◽  
Vol 11 (1) ◽  
pp. 241
Author(s):  
Juliane Kuhl ◽  
Andreas Ding ◽  
Ngoc Tuan Ngo ◽  
Andres Braschkat ◽  
Jens Fiehler ◽  
...  

Personalized medical devices adapted to the anatomy of the individual promise greater treatment success for patients, thus increasing the individual value of the product. In order to cater to individual adaptations, however, medical device companies need to be able to handle a wide range of internal processes and components. These are here referred to collectively as the personalization workload. Consequently, support is required in order to evaluate how best to target product personalization. Since the approaches presented in the literature are not able to sufficiently meet this demand, this paper introduces a new method that can be used to define an appropriate variety level for a product family taking into account standardized, variant, and personalized attributes. The new method enables the identification and evaluation of personalizable attributes within an existing product family. The method is based on established steps and tools from the field of variant-oriented product design, and is applied using a flow diverter—an implant for the treatment of aneurysm diseases—as an example product. The personalization relevance and adaptation workload for the product characteristics that constitute the differentiating product properties were analyzed and compared in order to determine a tradeoff between customer value and personalization workload. This will consequently help companies to employ targeted, deliberate personalization when designing their product families by enabling them to factor variety-induced complexity and customer value into their thinking at an early stage, thus allowing them to critically evaluate a personalization project.


Author(s):  
Julian Redeker ◽  
Philipp Gebhardt ◽  
Thomas Vietor

Abstract Incremental Manufacturing is a novel manufacturing approach where product variants are manufactured based on a finalization of pre-produced parts through additive and subtractive manufacturing processes. This approach allows a multi-scale production with the possibility to scale product variants as well as the production volume. In order to ensure high economic efficiency of the manufacturing concept, there is a need for pre-produced parts that come as close as possible to the final variant geometries to ensure that only variant-specific features need to be added by additive or subtractive manufacturing steps. Furthermore, to ensure high economies of scale, a high degree of commonality should be ensured for the pre-produced parts manufactured in mass production. In this context, a graph-based method is developed that enables an automated analysis of product families, based on physical and functional attributes, for standardization potentials. The method thus provides support for the strategic definition of pre-produced parts and is embedded in an overall approach for the redesign of products for Incremental Manufacturing. For the demonstration of the approach, which is based on 3D Shape and Graph Matching methods, a first case study is carried out using a guiding bush product family as an example.


Author(s):  
Kwansuk Oh ◽  
Jong Wook Lim ◽  
Seongwon Cho ◽  
Junyeol Ryu ◽  
Yoo S. Hong

AbstractVariety management is a cross-domain issue in product family design. In the real field, the relationships across the domains are so complex for most of the existing product families that they cannot be easily identified without proper reference architecture. This reference architecture should provide the cross- domain mapping mechanisms in an explicit manner and be able to identify the proper units for management. From this perspective of cross-domain framework, this paper introduces development architecture (DA) to describe the relationships between elements in market, design, and production domains and to give insights for the cross-domain variety management in the product development stage. DA has three parts: (1) the arrangement of elements in each domain, (2) the mapping between elements, and (3) the identification of management sets and key interfaces which are the proper units for variety management. The proposed development architecture framework is applied to the case of front chassis family of modules of an automobile.


Author(s):  
Johan O¨lvander ◽  
Xiaolong Feng ◽  
Bo Holmgren

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.


Author(s):  
Patrick K. Lewis ◽  
Christopher A. Mattson ◽  
Vance R. Murray

Reconfigurable products can adapt to new and changing customer needs. One potential, high-impact, area for product reconfiguration is in the design of income-generating products for poverty alleviation. Non-reconfigurable income-generating products such as manual irrigation pumps have helped millions of people sustainably escape poverty. However, millions of other impoverished people are unwilling to invest in these relatively costly products because of the high perceived and actual financial risk involved. As a result, these individuals do not benefit from such technologies. Alternatively, when income-generating products are designed to be reconfigurable, the window of affordability can be expanded to attract more individuals, while simultaneously making the product adaptable to the changing customer needs that accompany an increased income. The method provided in this paper significantly reduces the risks associated with purchasing income-generating products while simultaneously allowing the initial purchase to serve as a foundation for future increases in income. The method presented builds on principles of multiobjective optimization and Pareto optimality, by allowing the product to move from one location on the Pareto frontier to another through the addition of modules and reconfiguration. Elements of product family design are applied as each instantiation of the reconfigurable product is considered in the overall design optimization of the product. The design of a modular irrigation pump for developing nations demonstrates the methodology.


Author(s):  
Margaret Devendorf ◽  
Kemper Lewis

An essential part of designing a successful product family is establishing a recognizable, familiar, product family identity. It is very often the case that consumers first identify products based on their physical embodiment. The Apple iPod, DeWalt power tools, and KitchenAid appliances are all examples of product families that have successfully branded themselves based on physical principles. While physical branding is often the first trait apparent to designers, there are some products that cannot be differentiated based on physical appearance. This is especially common for consumable products. For example, it is impossible to differentiate between diet Coke, Classic Coke, and Pepsi when each is poured into separate glasses. When differentiation is difficult to achieve from a product’s physical characteristics, the product’s package becomes a vital part of establishing branding and communicating membership to a product family while maintaining individual product identity. In this paper, product packaging is investigated with a focus on the graphic packaging components that identify product families. These components include: color, shape, typography, and imagery. Through the application of tools used in facilities layout planning, graph theory, social network theory, and display design theory an approach to determine an optimal arrangement of graphic components is achieved. This approach is validated using a web based survey that tracks user-package interactions across a range of commonly used cereal boxes.


Author(s):  
Amar Pandit ◽  
Zahed Siddique

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.


Author(s):  
Zhengdong Huang ◽  
Derek Yip-Hoi

Parametric modeling has become a widely accepted mechanism for generating data set variants for product families. These data sets that include geometric models and feature-based process plans are created by specifying values for parameters within feasible ranges specified as constraints in the definition. The ranges denote the extent or envelope of the product family. Increasingly, with globalization the inverse problem is becoming important. This takes independently generated product data sets that on observation belong to the same product family and creates a parametric model for that family. This problem is also of relevance to large companies where independent design teams may work on product variants without much collaboration only to attempt consolidation later on to optimize the design of manufacturing processes and systems. In this paper we present a methodology for generating a feature-based part family parametric model through merging independently generated product data sets. We assume that these data sets are feature-based with relationships such as precedences captured using graphs. Since there are typically numerous ways in which these data sets can be merged, we formulate this as an optimization problem and solve using the A* algorithm. The parameter ranges generated by this approach will be used to design appropriate Reconfigurable Machine Tools (RMTs) and systems (RMS) for manufacturing the resulting part family.


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