A Methodology to Support Product Family Redesign using Genetic Algorithm and Commonality Indices,"

ABSTRACT 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

Product Family Design Knowledge Representation, Aggregation, Reuse, and Analysis

A flexible information model for systematic development and deployment of product families during all phases of the product realization process is crucial for product-oriented organizations. In current practice, information captured while designing products in a family is often incomplete, unstructured, and is mostly proprietary in nature, making it difficult to index, search, refine, reuse, distribute, browse, aggregate, and analyze knowledge across heterogeneous organizational information systems. To this end, we propose a flexible knowledge management framework to capture, reorganize, and convert both linguistic and parametric product family design information into a unified network, which is called a networked bill of material (NBOM) using formal concept analysis (FCA); encode the NBOM as a cyclic, labeled graph using the Web Ontology Language (OWL) that designers can use to explore, search, and aggregate design information across different phases of product design as well as across multiple products in a product family; and analyze the set of products in a product family based on both linguistic and parametric information. As part of the knowledge management framework, a PostgreSQL database schema has been formulated to serve as a central design repository of product design knowledge, capable of housing the instances of the NBOM. Ontologies encoding the NBOM are utilized as a metalayer in the database schema to connect the design artifacts as part of a graph structure. Representing product families by preconceived common ontologies shows promise in promoting component sharing, and assisting designers search, explore, and analyze linguistic and parametric product family design information. An example involving a family of seven one-time-use cameras with different functions that satisfy a variety of customer needs is presented to demonstrate the implementation of the proposed framework

Effect of molybdenum trioxide nanoparticle-mediated seed priming on the productivity of green gram (Vigna radiata L.)

A field experiment was undertaken in the post-Rabi season of 2019-2020 to reveal the response of greengram (Vigna radiata L.) to seed dressing and seed priming with nano molybdenum trioxide (MoO3). The experiment was laid out in randomized block design (RBD) consisting of 10 different treatments i.e., M0 (no seed treatment with Mo); M1 (seed dressing with Sodium molybdate @ 400 ppm); M2, M3, M4, and M5 (seed dressing with nano Molybdenum trioxide-MoO3 @ 50, 100, 200 and 400 ppm, respectively); and M6, M7, M8 and M9 (seed priming with nano MoO3 @ 50, 100, 200 and 400 ppm, respectively). Inoculation of greengram seeds cv. Shreya (IPM 2-14) with Rhizobium sps. was undertaken in all treatments as per the recommended practice, except in M0 (control). The MoO3 nanoparticles (NPs) synthesized from Ammonium molybdate through calcination at 600 0C for 5 hours indicated globular-shaped NPs of 68.55 nm in TEM and XRD. Nanopriming with MoO3 @ 200 ppm (M8) was most promising in recording significantly superior growth and yield attributing parameters and yield, whereas Mo (control) produced the least. Crop height, number of branches, root length, shoot dry matter, pods/plant and seeds/plant and root nodulation at harvest in M8 were 39.4% and 22.6%; 39% and 5.6%; 23% and 9.3%; 43.9%, and 16.3%; 28.2% and 5.3%; 28.1% and 0.8%, and 73.3% and 36.5% higher than M0 (control) and M1 (farmers’ practice), respectively. Superior growth and yield attributing characters in M8 treatment produced the highest grain and stover yield of 0.88 and 3.74 t/ ha that was 32.53% and 8.37%, and 35.5% and 14.7% higher than M0 (control) and M1 (farmers’ practice), respectively. Seed priming with nano MoO3 @ 400 ppm (M9) and seed dressing with nano MoO3 @ 400 ppm (M5) were of second and third order in recording grain and stover yield but M0 recorded the lowest among all the treatments

A UNIFIED INFORMATION MODEL FOR PRODUCT FAMILY DESIGN MANAGEMENT

ABSTRACT 1 A flexible information model for systematic development and deployment of product families during all phases of the product realization process is crucial for product-oriented organizations. In this paper we propose a unified information model to capture, share, and organize product design contents, concepts, and contexts across different phases of the product realization process using a web ontology language (OWL) representation. Representing product families by preconceived common ontologies shows promise in promoting component sharing while facilitating search and exploration of design information over various phases and spanning multiple products in a family. Three distinct types of design information, namely, (1) customer needs, (2) product functions, and (3) product components captured during different phases of the product realization process, are considered in this paper to demonstrate the proposed information model. Product vector and function component mapping matrices along with the common ontologies are utilized for designer-initiated information exploration and aggregation. As a demonstration, six products from a family of power tools are represented in OWL DL (Description Logic) format, capturing distinct information needed during the various phases of product realization

Graduate Research Assistant

Product representation schemes and design repositories have progressed remarkably in the past decade to facilitate platformbased product development and product family design to support mass customization �1�. In engineered products, one of the mos