Manufacturability factor analysis of product design fulfillment

2018 ◽  
Vol 2018 (7) ◽  
pp. 23-26 ◽  
Author(s):  
Борис Базров ◽  
Boris Bazrov ◽  
Александр Троицкий ◽  
Alexandr Troitsky
Keyword(s):  
Factor Analysis ◽  
Product Design

In the paper there is presented a type and characteristic classification of parts based on the variety of product design fulfillment. The analysis of manufacturability coefficients is carried out to which belong coefficients of standardization, unification, repeatability and typification. Their tie with the labour-intensiveness of design-technological pre-production and labour-intensiveness of part machining is defined. There are shown drawbacks of the coefficients considered, for instances, in coefficients of standardization and unification one does not take into account different degrees of influence upon labour-intensiveness of constituents of these coefficients, besides, a repeated account of standard parts takes place. In the coefficients of typification and repeatability both variety of parts and their number in one group of items or one standard representative are not taken into account.

Factor Analysis of Measures of Articulation, Language, Auditory Processing, Reading-Spelling, and Maxillofacial Structure

1977 ◽  
Vol 20 (2) ◽  
pp. 319-324
Author(s):  
Anita F. Johnson ◽  
Ralph L. Shelton ◽  
William B. Arndt ◽  
Montie L. Furr
Keyword(s):  
Factor Analysis ◽  
Clinical Judgment ◽  
Auditory Processing

This study was concerned with the correspondence between the classification of measures by clinical judgment and by factor analysis. Forty-six measures were selected to assess language, auditory processing, reading-spelling, maxillofacial structure, articulation, and other processes. These were applied to 98 misarticulating eight- and nine-year-old children. Factors derived from the analysis corresponded well with categories the measures were selected to represent.

Decoding and designing massive open online courses (MOOCs)

2022 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Archana Shrivastava ◽  
Ashish Shrivastava
Keyword(s):  
Factor Analysis ◽  
Online Education ◽  
Product Design ◽  
Online Courses ◽  
Research Question ◽  
Massive Open Online Courses ◽  
Purchase Decision ◽  
Relative Importance ◽  
Massive Open Online ◽  
Content Type

Purpose This study aims to investigate the attributes of the online programme that are considered and compute their relative importance in the purchase decision. This study aims to identify the most lucrative bundling of these attributes and their levels that can be used by online education companies to craft their product design strategy to attract customers with the most attractive offering. Design/methodology/approach This research paper endeavours to identify the attributes of online education, which customers consider for making a purchase decision. Exploratory factor analysis followed by confirmatory factor analysis was used to identify the key attributes of online education programmes. This paper uses the conjoint analysis technique to identify the most preferred bundling of attributes, which online education companies can package to attract customers. Findings Based on various attributes and their respective levels, it is evident the most lucrative design for attracting customers to buy online education programmes is to provide certification from a reputed international university, which requires an investment to the tune of 3,000–5,000. The duration of four weeks with asynchronous pedagogy and access to course material vial uniform resource locator (URL) is a preferred feature. Access via a mobile application is more preferred over Web access. A phone application is known to be optimised, and most people are using mobile phones to access the internet. Online certification or degrees that are considered as valid employment qualifications were most preferred over other reasons. Originality/value There is a dearth of studies on massive open online courses (MOOCs) from a product design perspective. There is a gap in the context of the features to be included in the MOOCs package so that the customer can find more value in it, and the companies can benefit by expanding their customer base. The research question which this study endeavours to explore is what attributes consumers of MOOCs consider when making a purchase decision. This study will also find the relative importance of these attributes.

The Influencing Factors Analysis of Implementing Green Supply Chain Based on the Investigation Data in Shandong Province of China

2013 ◽  
Vol 671-674 ◽  
pp. 3049-3054
Author(s):  
Cao Qian ◽  
Xi Jian Quan ◽  
Yu Yan Wang
Keyword(s):  
Factor Analysis ◽  
Supply Chain ◽  
Energy Consumption ◽  
Product Design ◽  
Influencing Factors ◽  
Shandong Province ◽  
Raw Material ◽  
Green Supply Chain ◽  
Manufacturing Enterprises ◽  
Factors Analysis

On the basis of investigation and research, we firstly determined factors that impact manufacturing enterprises to implement green supply chain. Then, based on data of Parts of manufacturing enterprises in Shandong Province implementing green supply chain, the influencing factors of manufacturing enterprises implementing green supply chain is analyzed by factor analysis. The conclusion show that the influencing factors mainly concentrates in seven aspects that is raw material purchase, the enterprise internal management, the worn recycling, the product design, the enterprise prestige, the enterprise energy consumption, the reject processes.

Parallel Factor Analysis for Gas Sensor Array Signals

2014 ◽  
Vol 494-495 ◽  
pp. 955-959 ◽  
Author(s):  
Wen Na Zhang ◽  
Guo Jun Qin ◽  
Niao Qing Hu
Keyword(s):  
Factor Analysis ◽  
Gas Sensor ◽  
Sensor Array ◽  
Parallel Factor Analysis ◽  
Time Profile ◽  
Three Dimension ◽  
Gas Sensor Array ◽  
Parallel Factor ◽  
Sample Time

Data from sensor array are often arranged in three-dimension as sample × time × sensor. Traditional methods are mainly used for two-dimension data. When such methods are applied, some time-profile information will lost. To acquire the information of samples, sensors and times more exactly, parallel factor analysis (PARAFAC) is investigated to deal with three-way data array. Through the analysis and classification of three kinds of oil odor samples, the performance of PARAFAC in gas sensor array signal analysis is verified and validated.

scholarly journals Factor analysis about satiety in product design.

2000 ◽  
Vol 1 (2) ◽  
pp. 33-40 ◽  
Author(s):  
Katsuo INOUE ◽  
Mitsuo HIROKAWA
Keyword(s):  
Factor Analysis ◽  
Product Design
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