scholarly journals TOWARDS A FRAMEWORK OF THE SUB-DISCIPLINES OF PRODUCT DESIGN TO ENABLE APPROPRIATE COURSE SELECTION FOR PROSPECTIVE STUDENTS

2020 ◽  
Author(s):  
Paul Russell ◽  
Lyndon Buck
Keyword(s):  
Product Design ◽  
Course Selection ◽  
Prospective Students ◽  
Selection For

Compatibility Analysis of Product Design for Recyclability and Reuse

1994 ◽  
Author(s):  
Patrick Di Marco ◽  
Charles F. Eubanks ◽  
Kos Ishii
Keyword(s):  
Life Cycle ◽  
Cost Function ◽  
Product Design ◽  
Material Selection ◽  
Computer Tool ◽  
Compatibility Analysis ◽  
Life Cycle Design ◽  
Environmentally Responsible ◽  
Qualitative Knowledge ◽  
Selection For

Abstract This paper describes a method for evaluating the compatibility of a product design with respect to end-of-life product retirement issues, particularly recyclability. Designers can affect the ease of recycling in two major areas: 1) ease of disassembly, and 2) material selection for compatibility with recycling methods. The proposed method, called “clumping,” involves specification of the level of disassembly and the compatibility analysis of each remaining clump with the design’s post-life intent; i.e., reuse, remanufacturing, recycling, or disposal. The method uses qualitative knowledge to assign a normalized measure of compatibility to each clump. An empirical cost function maps the measure to an estimated cost to reprocess the product. The method is an integral part of our life-cycle design computer tool that effectively guides engineers to an environmentally responsible product design. A refrigerator in-door ice dispenser serves as an illustrative example.

Interactive Product Design Selection With an Implicit Value Function

2002 ◽  
Author(s):  
K. Maddulapalli ◽  
S. Azarm ◽  
A. Boyars
Keyword(s):  
Product Design ◽  
Decision Maker ◽  
Trial Design ◽  
Value Function ◽  
Automated Method ◽  
Design Alternatives ◽  
Interactive Product ◽  
Electric Drill ◽  
Selection For ◽  
Design Selection

We present an automated method to aid a Decision Maker (DM) in selecting the ‘most preferred’ from a set of design alternatives. The method assumes that the DM’s preferences reflect an implicit value function that is quasi-concave. The method is iterative, using three approaches in sequence to eliminate lower-value alternatives at each trial design. The method is interactive, with the DM stating preferences in the form of attribute tradeoffs at each trial design. We present an approach for finding a new trial design at each iteration. We provide an example, the design selection for a cordless electric drill, to demonstrate the method.

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