Design for Manufacture and Maintenance

2005 ◽  
pp. 321-342
Keyword(s):  
Design For Manufacture

Lossless Photon management – Optical design for manufacture at different length scales - NOLOSS - H2020

Impact ◽  
2018 ◽  
Vol 2018 (1) ◽  
pp. 48-50
Author(s):  
Toralf Scharf ◽  
Paul Urbach ◽  
Carsten Rockstuhl ◽  
Frank Setzpfand
Keyword(s):  
Optical Design ◽  
Length Scales ◽  
Design For Manufacture ◽  
Photon Management

Design for manufacture

IEEE Spectrum ◽  
1993 ◽  
Vol 30 (9) ◽  
pp. 51-53 ◽  
Author(s):  
T.P. Pennino ◽  
J. Potechin
Keyword(s):  
Design For Manufacture

Augmenting Tools for Reverse Engineering Methods

2006 ◽  
Author(s):  
Mark Snider ◽  
Sudhakar Teegavarapu ◽  
D. Scott Hesser ◽  
Joshua D. Summers
Keyword(s):  
Reverse Engineering ◽  
Black Box ◽  
House Of Quality ◽  
Engineering Process ◽  
Design Efficiency ◽  
Design For Manufacture ◽  
The Past ◽  
Cad Models ◽  
Product And Process ◽  
A Company

Reverse engineering has gained importance over the past few years due to an intense competitive market aiding in the survivability of a company. This paper examines the reverse engineering process and what, how, and why it can assist in making a better design. Two well known reverse engineering methodologies are explored, the first by Otto and Wood and the second by Ingle. Each methodology is compared and contrasted according to the protocols and tools used. Among some of the reverse engineering tools detailed and illustrated are: Black box, Fishbone, Function Structure, Bill of Material, Exploded CAD models, Morphological Matrix, Subtract and Operate Procedure (SOP), House of Quality matrix, and FMEA. Even though both methodologies have highly valued tools, some of the areas in reverse engineering need additional robust tooling. This paper presents new and expanded tooling to augment the existing methods in hopes of furthering the understanding of the product, and process. Tools like Reverse Failure Mode and Effects Analysis (RFMEA), Connectivity graphs, and inter-relation matrix increase the design efficiency, quality, and the understanding of the reverse engineering process. These tools have been employed in two industry projects and one demonstrative purpose for a Design for Manufacture Class. In both of these scenarios, industry and academic, the users found that the augmented tools were useful in capturing and revealing information not previously realized.

Product Variability Risks and Robust Design

1994 ◽  
Vol 208 (1) ◽  
pp. 9-19 ◽  
Author(s):  
K G Swift ◽  
A J Allen
Keyword(s):  
Quality Control ◽  
Robust Design ◽  
General Model ◽  
Best Practice ◽  
Quality Evaluation ◽  
Evaluation Methodology ◽  
Design For Manufacture ◽  
And Performance ◽  
Competitive Products

The design of a product largely predetermines its cost and quality, and there are therefore limits to the benefits that can be obtained by the application of best practice in manufacturing and quality control. The paper introduces a general model of design for quality and describes a systematic quality evaluation methodology to aid the development of quality competitive products. The application and performance of the methodology are described and its integration with techniques in design for manufacture and assembly is discussed.

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