Systematic Process Selection in Mechanical Design

Author(s):  
Amal M. K. Esawi ◽  
Michael F. Ashby

Abstract There has been a recent awareness of the importance of making the right manufacturing decisions early in the design process before the cost penalty of making changes becomes too high. The selection of the most appropriate manufacturing process — of which there are a very large number — is one such decision. It is commonly based on human-resident experience or on established local practice. As such, some potentially-usable processes may be overlooked. This paper explores ways in which process selection might be made more systematic. It presents a procedure for manufacturing process selection which considers all manufacturing processes and eliminates the ones which cannot satisfy the design requirements. This is achieved using Process Selection Charts in which process capabilities are displayed graphically. A procedure for the ranking of the successful processes based on cost is under development. The systematic selection procedure lends itself well to computer implementation. A database of manufacturing processes and an advanced user interface thus provide ideal support for designers. Cambridge Materials Selector (CMS) software is currently being applied to manufacturing process selection.

2019 ◽  
Vol 2019 ◽  
pp. 1-18 ◽  
Author(s):  
Mohammed M. Mabkhot ◽  
Ali M. Al-Samhan ◽  
Lotfi Hidri

In nowadays industry 4.0 and changeable manufacturing context, designers and manufacturing engineers struggle to determine appropriate quick, accurate (with flawless quality), and cost-effective processes to design highly customized products to meet customer requirements. To determine manufacturing processes, the matching between product features, material characteristics, and process capabilities needs to be optimized. Finding such an optimized matching is usually referred to as manufacturing process selection (MPS), which is not an easy task because of the infinite combinations of product features, numerous material characteristics, and various manufacturing processes. Although problems associated with MPS have received considerable attention, semantic web technologies are still underexplored and their potential is still uncovered. Almost no previous study has considered combining case-based reasoning (CBR) with ontologies, a famous and powerful semantic web enabler, to achieve MPS. In this study, we developed a decision support system (DSS) for MPS based on ontology-enabled CBR. By applying automatic reasoning and similarity retrieving on an industrial case study, we show that ontologies enable process selection by determining competitive matching between product features, material characteristics, and process capabilities and by endorsing effective case retrieval.


1995 ◽  
Vol 3 (2) ◽  
pp. 135-144 ◽  
Author(s):  
Nosa F. O. Evbuomwan ◽  
Sangarappilai Sivaloganathan ◽  
Alan Jebb

2002 ◽  
Vol 14 (1) ◽  
pp. 25-32
Author(s):  
V. S. Liebhold ◽  
D. L. Kimbler ◽  
A. K. Gramopadhye

1982 ◽  
Vol 104 (4) ◽  
pp. 806-812 ◽  
Author(s):  
D. C. Miaw ◽  
W. R. D. Wilson

An interactive computer program to aid a designer in selecting candidate manufacturing process and material combinations for a part is described. The program uses a twelve-digit code to eliminate unsuitable combinations from consideration and to rank the remainder using numerical figures of merit.


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