Recommending a Platform Leveraging Strategy Based on the Homogeneous or Heterogeneous Nature of a Product Line

Author(s):  
Fabrice Alizon ◽  
Steven B. Shooter ◽  
Timothy W. Simpson

Platform-based product development depends on many factors, including technology, cost, competition, and life cycle considerations, and many companies would benefit from knowing more about the nature of their product families and how they impact platform-based product development. We assert that the development of a product platform and its derivative family of products is also impacted by the homogenous/heterogeneous nature of the products being developed, which has received little attention in the engineering literature. The current study introduces an original metric for assessing the homogeneity/heterogeneity in a given family: the Homogeneity versus Heterogeneity Ratio (HHR), which works at two levels of abstraction, namely, family and function. This study focuses on the platform leveraging strategy and takes an interest in two other aspects of platform development: the specification of the family and the necessary differentiation. To support platform design, the HHRfamily and HHRfunction metrics quantify the ratio of homogeneity/heterogeneity in the family to recommend a platform leveraging strategy by highlighting homogeneous functions that support platform leveraging. Reverse engineering helps us to retroactively study three types of families (power tools, single-use cameras, and blue jeans) using HHRfamily and HHRfunction. In particular, we demonstrate: (1) quantification of the homogeneity/heterogeneity of a family of products based on their functions; (2) recommendation of a leveraging strategy based on HHR; (3) a new leveraging strategy, the combined leveraging strategy via cross leveraging; (4) how HHR can help designers to validate the product family specification; and (5) how HHR can highlight needs to differentiate a family of products other than through functions.

Author(s):  
Fabrice Alizon ◽  
Steven B. Shooter ◽  
Timothy W. Simpson

To help guarantee profit and stability in today’s global market, companies must focus on the differentiation of their products. Successfully differentiated products will attract customers, generate revenue and benefit the brand image, whereas a banal product can lose money and leave a bad impression in the market. Many large companies have recently lost significant market share in part due to poor product differentiation. This paper introduces four indices to assess this differentiation at two levels—family and market—based on product function and function attributes. At the family level, the Product Differentiation Index (PDI) assesses the differentiation between a product and other products in the rest of the family and also the differentiation within the family. At the market level, the Family Differentiation Index (FDI), Family Coverage Index (FCI), and Family Un-coverage Index (FUI) assess the differentiation, the coverage, and the un-coverage of a family with another, and/or with the rest of the market, respectively. These indices help designers and marketers evaluate the positioning of their products and support product family planning. A case study involving two competitive single-use camera families is presented.


Author(s):  
Matthew Fledderjohn ◽  
Steven B. Shooter ◽  
Robert B. Stone

A Design Repository has been created in an effort to archive existing products and the components in each product. With this function-based archiving system, designers can retrieve design information on existing products to assist in a new design project. The use of product families has emerged as an approach to exploit commonality for more efficient product development. However, the Design Repository does not contain explicit design information on platforms and modules. This paper describes information for the design of a platform and proposes a new data structure that organizes the information for augmenting the Design Repository. An information flow model for the development of a single product is modified to describe the flow of information needed for product platform design. The information flow model and associated data structure has been shown to be effective in representing three common product families: the Black & Decker Firestorm tool set, Kodak single-use cameras, and the IceDozer family of ice scrapers. With this data structure implemented into the existing repository, designers can find useful information on how to create different products based on the a common platform.


Author(s):  
Elizabeth D. Steva ◽  
Elizabeth N. Rice ◽  
Tucker J. Marion ◽  
Timothy W. Simpson ◽  
Robert B. Stone

As companies are pressured to decrease product development costs concurrently with increasing product variety, the need to develop products based upon common components and platforms is growing. Determining why a platform worked, or alternatively why it did not, is an important step in the successful implementation of product families and product platforms in any industry. Unfortunately, published literature on platform identification and product family analysis using product dissection and reverse engineering methods is surprisingly sparse. This paper introduces two platform identification methodologies that use different combinations of tools that can be readily applied based on information obtained directly from product dissection. The first methodology uses only the Bills-of-Materials and Design Structure Matrices while the second utilizes function diagrams, Function-Component Matrices, Product-Vector Matrices, and Design Structure Matrices to perform a more in-depth analysis of the set of products. Both methodologies are used to identify the platform elements in a set of five single-use cameras available in the market. The proposed methodologies identify the film advance and shutter actuation platform elements of the cameras, which include seven distinct components. The results are discussed in detail along with limitations of these two methodologies.


1998 ◽  
Vol 122 (4) ◽  
pp. 403-410 ◽  
Author(s):  
Sridhar Kota ◽  
Kannan Sethuraman ◽  
Raymond Miller

Many companies develop a market strategy built around a family of products. These companies regularly add new product variations to the family in order to meet changing market needs or to attract a broader customer base. Although the core functionality remains essentially unchanged across the products within a family, new functions, feature combinations and technologies are incorporated into each new product. If allowed to grow unchecked, these component variations, commonly referred to as “complexity”, can result in a loss of productivity or quality. The challenge lies in an effective management of product variations in the design studio and on the manufacturing floor. The key is to minimize non-value added variations across models within a product family without limiting customer choices. In this paper we discuss the factors that contribute to product complexity in general, and present an objective measure, called the Product Line Commonality Index, to capture the level of component commonality in a product family. Through our Walkman case study, we present a simple yet powerful method of benchmarking product families1. This method gauges the family’s ability to share parts effectively (modularity) and to reduce the total number of parts (multi-functionality). [S1050-0472(00)02704-5]


Author(s):  
Henri J. Thevenot ◽  
Jyotirmaya Nanda ◽  
Timothy W. Simpson

Many of today’s manufacturing companies are using platform-based product development to realize families of products with sufficient variety to meet customers’ demands while keeping costs relatively low. The challenge when designing or redesigning a product family is in resolving the tradeoff between product commonality and distinctiveness. Several methodologies have been proposed to redesign existing product families; however, a problem with most of these methods is that they require a considerable amount of information that is not often readily available, and hence their use has been limited. In this research, we propose a methodology to help designers during product family redesign. This methodology is based on the use of a genetic algorithm and commonality indices - metrics to assess the level of commonality within a product family. Unlike most other research in which the redesign of a product family is the result of many human computations, the proposed methodology reduces human intervention and improves accuracy, repeatability, and robustness of the results. Moreover, it is based on data that is relatively easy to acquire. As an example, a family of computer mice is analyzed using the Product Line Commonality Index. Recommendations are given at the product family level (assessment of the overall design of the product family), and at the component level (which components to redesign and how to redesign them). The methodology provides a systematic methodology for product family redesign.


Author(s):  
Xuehong Du ◽  
Mitchell M. Tseng ◽  
Jianxin Jiao

Abstract This paper discusses the issue of product variety modeling, i.e. the means to organize the data of a family of products according to the underpinning logic among them. The targeted product families are characterized by providing user-selectable product features and feature values and achieving variety by combining parameterized functional or physical modules. A graph grammar based (GGB) model is proposed for the purpose of enhancing the comprehensiveness and manipulability of the data of product families for different functional departments in a company in order to facilitate effective order processing as well as direct customer-manufacturer interaction. To deal with variety effectively, both structural and non-structural family data are represented as family graphs whereas order-specific products are represented as variant graphs derived by applying predefined graph rewrite rules to the family graphs. The most important characteristics of the GGB model are three folds. While emphasizing the distinctiveness of the information that different users are concerned about, it provides cross view data transferring mechanisms. It also supports data manipulation for variety generation. Finally, taking advantage of the graph grammar based language of PROGRES, GGB is a model to be easily implemented as a visualized computer system. The specification of an office chair product family illustrates the principles and construction process of GGB models.


Author(s):  
Timo Laakko ◽  
Martti Mäntylä

Abstract A feature-based product modeling system is introduced where the user can incrementally create and modify product families. Product family and feature descriptions are coded in a special definition language and can be easily added and modified by the user. The descriptions include dynamically maintained constraints. The definition language description of a new family can be automatically created on the basis of a recognized prototypical instance. A stored design history can be used for generating the geometry definition of the family.


Author(s):  
Mitchell M. Tseng ◽  
Jianxin Jiao

Abstract Mass customization is becoming an important agenda in industry and academia alike. This paper deals with mass customization from a product development perspective. A framework of design for mass customization (DFMC) by developing product family architecture (PFA) is presented. To deal with tradeoffs between diversity of customer requirements and reusability of design and process capabilities, DFMC advocates shifting product development from designing individual products to designing product families. As the core of DFMC, the concept of PFA is developed to assist different functional departments within a manufacturing enterprise to work together cohesively. A PFA describes variety and product families and performs as a generic product platform for product differentiation in which individual customer requirements can be satisfied through systematic decisions of developing product variants. Based on such a PFA, the DFMC framework provides a unifying integration platform for synchronizing market positioning, soliciting customer requirements, increasing reusability, and enhancing manufacturing scale of economy across the entire product realization process.


Author(s):  
Fabrice Alizon ◽  
Steven B. Shooter ◽  
Timothy W. Simpson

At a time when product differentiation is a major indicator of success in the global market, each company is looking to offer competitive and highly differentiated products. This differentiation issue is restricted by the design of platform-based products that share modules and/or components. It is not easy to differentiate products in a market that is often overwhelmed by numerous options. A platform-based approach can be risky because competition in the global market can become an internal competition among similar products within the family if there is not enough differentiation in the family. Thus, the goal for the product platform is to share elements for common functions and to differentiate each product in the family by satisfying different targeted needs. To assess commonality in the family, numerous indices have been proposed in the literature. Nevertheless, existing indices focus on commonality and reflect an increase in value when commonality increases but do not positively reflect an increase in the value as a result of diversity; hence, the Commonality versus Diversity Index (CDI) is introduced in this paper to assess the commonality and diversity within a family of products or across families. The CDI has variable levels of depth analysis to help designers design or improve the product family. Two case studies using single-use cameras and power tool families highlight the usefulness of this new index.


Author(s):  
Zhila Pirmoradi ◽  
G. Gary Wang

Increase of demand on product variety has pushed companies to think about offering more and more product variants in order to take more market shares. However, product variation can lead to cost increase for design and production, as well as the lead time for new variants. As a result, a proper tradeoff is required between cost-effectiveness of manufacturing and satisfying diverse demands. Such tradeoff has been shown to be manageable effectively by exploiting product family design (PFD) and platform-based product development. These strategies have been widely studied during the past decades, and a large number of approaches have been proposed for covering different issues and steps related to design and development of product families and platforms. Verification and performance of such approaches have also been traced through practical case studies applied to several industries. This paper focuses on a review of the research in this field and efforts to classify the recent advancements relevant to product family design and platform development issues. A comprehensive review on the state-of-the-art research in this field was done by Jiao et al. in 2007; therefore the main focus of this paper is on the research activities from 2006 to present. Mainly, the effort of this paper is to identify new achievements in regard with different aspects of product family design such as customer involvement in design, market driven studies, new indices and metrics for assessing families and developing the desired platforms, issues relevant to product family optimization (i.e., new algorithms and optimization approaches applied to different PFD problems along with their benefits and limitations in comparison to previously developed approaches), issues relevant to development of platforms (i.e., platform configuration approaches, joint platform design and optimization, and factors effective on forming proper platform types), and issues relevant to knowledge management and modeling of families and platforms for facilitating and supporting future design efforts. Through a comparison with previous research, new achievements are discussed and the remaining challenges and potential new research areas in this field are addressed.


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