The Impact of Granule Density on Tabletting and Pharmaceutical Product Performance

2017 ◽  
Vol 34 (5) ◽  
pp. 1002-1011 ◽  
Author(s):  
Sander van den Ban ◽  
Daniel J. Goodwin
Keyword(s):  
Pharmaceutical Product ◽  
Product Performance ◽  
Granule Density ◽  
The Impact

Assessment of Uncertainty for Structural and Mechatronics Engineering Applications

2011 ◽  
Vol 104 ◽  
pp. 145-159
Author(s):  
Stijn Donders ◽  
Laszlo Farkas ◽  
Michael Hack ◽  
Herman Van der Auweraer ◽  
Roberto d’Ippolito ◽  
...  
Keyword(s):  
Structural Dynamics ◽  
Adaptive Systems ◽  
Product Performance ◽  
Actual Behavior ◽  
Actual Problem ◽  
Design Assessment ◽  
And Performance ◽  
Detailed Computer ◽  
Virtual Modeling ◽  
The Impact

Nowadays, mechanical industries operate in a highly competitive environment, therefore the process of developing a component from concept through detailed Computer-Aided Engineering (CAE) and performance validation is optimized for reduced development time and increased product performance. To continuously improve the product design and performance and reduce the costs and time to market, the design and performance engineering is shifted more and more towards virtual modeling and simulation processes from the expensive test-based design evaluations. Secondly, the booming introduction of active and adaptive systems in mechanical structures leads to a ‘mechatronics systems’ revolution, which further improves the product performance at the expense of increased system complexity. It is noted that the potential of structural dynamics test and analysis methods for addressing a structural dynamics design assessment or design optimization depends largely on the confidence that one can have in the results. That is, the results must be accurate, characteristic for the actual problem (and not be the result of testing artifacts) and representative for the actual behavior of the investigated structure. In this context, a key aspect is to be aware of the key sources of uncertainty in the designed product, and the impact thereof on the product performance in terms of structural dynamics, crashworthiness and/or acoustics. This paper reviews the main elements of test data and modal modeling uncertainty and assesses the impact of the uncertainty on some typical modeling problems taken from automotive and aerospace industry.

2 New Product Performance: What Distinguishes the Star Products

2000 ◽  
Vol 25 (1) ◽  
pp. 17-46 ◽  
Author(s):  
Robert G. Cooper ◽  
Elko J. Kleinschmidt
Keyword(s):  
Three Dimensional ◽  
New Product ◽  
Product Performance ◽  
Risk Level ◽  
Star Products ◽  
Performance Space ◽  
New Product Performance ◽  
Performance Group ◽  
Managerial Implications ◽  
The Impact

Better new product performance is important for the survival of the firm. Based on a three-dimensional performance space, 110 new products launched from 55 Australian firms are grouped into five performance clusters. Performance groups from ‘Stars’—the winning group to—‘Dogs’—the worst performance group. The five groups could be well explained by the impact constructs. ‘Stars’; did what one expects for winning projects (product advantage, homework, cross-functional team, reasonable risk level, etc.), ‘Dogs’ were identified as doing nearly everything wrong. The Australian results were tested against international findings and concurred fully. Managerial implications are detailed.

Customer involvement and new product performance

2016 ◽  
Vol 116 (8) ◽  
pp. 1700-1718 ◽  
Author(s):  
Taiwen Feng ◽  
Di Cai ◽  
Zhenglin Zhang ◽  
Bing Liu
Keyword(s):  
Design Methodology ◽  
New Product ◽  
Product Performance ◽  
Content Type ◽  
Performance Effect ◽  
Customer Involvement ◽  
New Product Performance ◽  
Joint Influence ◽  
The Impact ◽  
The Relationship

Purpose The purpose of this paper is to examine the joint influence of technological newness (TN) and market newness (MN) on the relationship between customer involvement (CI) and new product performance. Design/methodology/approach The authors employed hierarchical moderated regression analysis to test the hypothesized relationships using survey data collected from 214 Chinese manufacturing firms. Findings The authors found that the impact of CI on new product performance varies across the different configurations of TN and MN. Specifically, the performance effect of CI is most positive under low TN and high MN, while the performance effect is least positive under low TN and low MN. Originality/value This study enriches CI research by identifying different configurations of product innovativeness that augment or limit the value of CI.

scholarly journals Non-Destructive Evaluation Techniques and What They Tell Us about Wood Property Variation

Forests ◽  
2019 ◽  
Vol 10 (9) ◽  
pp. 728 ◽  
Author(s):  
Laurence Schimleck ◽  
Joseph Dahlen ◽  
Luis A. Apiolaza ◽  
Geoff Downes ◽  
Grant Emms ◽  
...  
Keyword(s):  
Multiple Scales ◽  
Wood Property ◽  
Wood Properties ◽  
Product Performance ◽  
Detailed Knowledge ◽  
Field Equipment ◽  
Property Variation ◽  
Non Destructive Evaluation ◽  
The Impact ◽  
Non Destructive

To maximize utilization of our forest resources, detailed knowledge of wood property variation and the impacts this has on end-product performance is required at multiple scales (within and among trees, regionally). As many wood properties are difficult and time-consuming to measure our knowledge regarding their variation is often inadequate as is our understanding of their responses to genetic and silvicultural manipulation. The emergence of many non-destructive evaluation (NDE) methodologies offers the potential to greatly enhance our understanding of the forest resource; however, it is critical to recognize that any technique has its limitations and it is important to select the appropriate technique for a given application. In this review, we will discuss the following technologies for assessing wood properties both in the field: acoustics, Pilodyn, Resistograph and Rigidimeter and the lab: computer tomography (CT) scanning, DiscBot, near infrared (NIR) spectroscopy, radial sample acoustics and SilviScan. We will discuss these techniques, explore their utilization, and list applications that best suit each methodology. As an end goal, NDE technologies will help researchers worldwide characterize wood properties, develop accurate models for prediction, and utilize field equipment that can validate the predictions. The continued advancement of NDE technologies will also allow researchers to better understand the impact on wood properties on product performance.

Design of Hierarchic Platforms for Customizable Products

2002 ◽  
Author(s):  
Gabriel Hernandez ◽  
Janet K. Allen ◽  
Farrokh Mistree
Keyword(s):  
Product Family ◽  
Product Performance ◽  
Product Platform ◽  
Electric Motors ◽  
Product Platforms ◽  
Individual Product ◽  
Geometric Space ◽  
Multiple Levels ◽  
The Impact ◽  
Different Levels

The objective in product platform design is to synthesize a set of components that will be shared by a number of product variants considering potential sacrifices in individual product performance that result from parts sharing. A good platform strategy should allow us to specify different levels of commonality for the various features and components of the product family in order to reduce the impact of commonality on performance. In this paper, we formulate the design of platforms for customizable products as a problem of optimization of access in a geometric space. This approach allows us to develop systematically hierarchic product platforms with multiple levels of commonality. We illustrate the proposed approach with a case example: the design of a product platform for a line of customizable electric motors.

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