Manufacturing knowledge verification in design support systems

Cochrane, Sean D.; Young, Robert I. M.; Case, Keith; Harding, Jennifer; Gao, James; Dani, Samir; Baxter, David

doi:10.1080/00207540701802452

Cited by 16 publications

(11 citation statements)

References 50 publications

(59 reference statements)

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“…Ontology (Cochrane et al 2009;Chen 2010Chen , 2011Chen, Chen, and Wu 2010), cognitive map (CM) (Noh et al 2000), case-based reasoning (CBR) (Wang and Hsu 2004;Dias 2007) and social network analysis (SNA) (Kim, Suh, and Jun 2011) are the main methods for tacit knowledge acquisition. Automatic or semi-automatic acquisition systems, such as TTKM (Team Tacit Knowledge Measure for software developer) (Ryan and O'Connor 2009), TKAI (Tacit Knowledge Acquisition Info-Structure for physician) (Abidi, Cheah, and Curran 2005), MediKES (Medical Knowledge Elicitation System for physician) (Ting et al 2011) and KOATING (Knowledge discovery and data mining integrated framework for project team members) (Choudhary et al 2011) have been developed and validated.…”

Section: Related Work 21 Tacit Knowledge Acquisition Methodsmentioning

confidence: 99%

“…Engineering-based techniques and methods, especially artificial intelligence (AI) approaches, such as Ontology (Cochrane et al 2009;Chen 2010Chen , 2011Chen and Wu 2010), case-based reasoning (CBR) (Wang and Hsu 2004;Dias 2007) and cognitive map (CM) (Noh et al 2000), are widely used to model and acquire tacit knowledge. The application fields of these knowledge acquisition approaches include manufacturing (Zhou 2004), project management (Koskinen, Pihlanto, and Vanharanta 2003), health care (Abidi, Cheah, and Curran 2005;Ting et al 2011) and decision-making (Noh et al 2000).…”

Section: Two-stage Methods and Other Engineering-based Approachesmentioning

confidence: 99%

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A novel two-stage method for acquiring engineering-oriented empirical tacit knowledge

Liu

Jiang

Song

2014

International Journal of Production Research

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Engineering-oriented empirical tacit knowledge (ETK) is a kind of tacit knowledge originated from domain expert's experience combined with practice cases and scenarios. It is an important source of organisation knowledge. However, due to operational and technical obstacles, this kind of knowledge is not sufficiently harnessed and put into practical use. To deal with this problem, a novel two-stage acquisition method is proposed in this paper. The acquisition method consists of two phases, the stage from ETK in the mind of expert to ETK in initial state, and the stage from ETK in initial state to structured ETK. It constructs a complete tacit knowledge acquisition process from the domain expert's experience to the structured tacit knowledge. The objective is achieved by taking the following procedures: Firstly, present the concept of engineering-oriented ETK and a five-dimension representation model of ETK. Secondly, construct a two-stage ETK acquisition framework. Finally, describe an engineering decision case to validate the feasibility of the proposed approach. Satisfactory results are reached for the study.

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Section: Related Work 21 Tacit Knowledge Acquisition Methodsmentioning

confidence: 99%

Section: Two-stage Methods and Other Engineering-based Approachesmentioning

confidence: 99%

A novel two-stage method for acquiring engineering-oriented empirical tacit knowledge

Liu

Jiang

Song

2014

International Journal of Production Research

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“…The issues related to the data structures required for verifying manufacturing knowledge were discussed and standard based framework were proposed by Cochrane et al (2009). Mervyn et al (2006) developed an information model describing fixture design knowledge and specification to improve the product quality and reduce product lead-time.…”

Section: Fixture Information Modelling Approachesmentioning

confidence: 99%

Unified representation of fixtures: clamping, locating and supporting elements in CNC manufacture

Vichare

Nassehi

Newman

2011

International Journal of Production Research

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A CNC machining operation is the outcome of the application of the integrated capabilities of various resources within the CNC machining centre. Part fixtures, clamping and other location mechanisms are essential subsets of CNC machining resources. Today, various fixturing techniques and attachments available in the market allow manufacturers to enhance their production capability without buying expensive machine tools. This technology-rich fixturing domain is detached while representing and exchanging machine tool resource information for making manufacturing decisions. The research work in this article utilises the STEP-NC compliant unified manufacturing resource model (UMRM) for representing fixtures in conjunction with the parent CNC machining centre. Thus, UMRM is enhanced in this context to represent various fixtures such as universal vises, chucks, pallets and auxiliary rotary tables among others. The major contribution of this article is the application of the extension of the UMRM approach for representing fixturing domain, which allows generic modelling of fixtures and loading devices in addition to machine workpiece and process modelling. This would enable the stage of automated process planning and manufacturing. The universal approach in representing resource information allows the data to be utilised for making a wide variety of manufacturing decisions.

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“…Over the past few years there has been an emphasis placed upon the study and development of knowledge based systems to enable better knowledge management and reuse of that knowledge within manufacturing environments (Cochrane et al 2009;Gunendran and Young 2010;Chungoora et al 2013). There are some drawbacks to these approaches in that they can consume inordinate amounts of time to create a knowledge base and test it before they are even implemented within a commercial environment (Mohammed, May and Alavi 2008).…”

Section: Introductionmentioning

confidence: 99%

“…The opposite end of the spectrum for information and knowledge engineering presents approaches which focus upon the development and application of formal ontologies and knowledge based systems to support design decisions by supplying manufacturing knowledge Cochrane et al 2008Cochrane et al , 2009Gunendran and Young 2010;Chungoora et al 2013). All of these approaches aim to ameliorate the representation and supply of manufacturing knowledge to facilitate quicker and better design decision making and therefore enable reuse.…”

Section: Introductionmentioning

confidence: 99%

The reuse of machining knowledge to improve designer awareness through the configuration of knowledge libraries in PLM

Urwin

Young

2013

International Journal of Production Research

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Manufacturing knowledge verification in design support systems

Cited by 16 publications

References 50 publications

A novel two-stage method for acquiring engineering-oriented empirical tacit knowledge

A novel two-stage method for acquiring engineering-oriented empirical tacit knowledge

Unified representation of fixtures: clamping, locating and supporting elements in CNC manufacture

The reuse of machining knowledge to improve designer awareness through the configuration of knowledge libraries in PLM

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