Managing knowledge within the manufacturing enterprise: an overview

Baxter, David; Roy, Rajkumar; Gao, James

doi:10.1504/ijmtm.2009.026193

Cited by 10 publications

(4 citation statements)

References 75 publications

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“…In terms of managing and applying knowledge within a manufacturing enterprise, Baxter et al [8] provided an overview of a number of papers related to the topic. The research found that much of manufacturing knowledge is application driven and there is a clear design bias in the literature.…”

Section: Figure 1 Data Information and Knowledge [5]mentioning

confidence: 99%

Intelligent experience based support tools for aerospace manufacturing technology selection

Evans

Lohse

Summers

2012

2012 IEEE Aerospace Conference

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Data, information and knowledge have become an important commodity for manufacturing organizations in recent years. The effective capture and reuse of these 'commodities' can assist world-class organizations in maintaining competitive advantage. In the field of manufacturing technology selection, there is a vast amount of experienced information and knowledge sources supporting each phase of the process. These include documentation, technology catalogues, applied technologies and case studies, as well as a range of informal and formal information developed through discussions and meetings.The effective utilization and application of these information and knowledge commodities can assist organizations in next generation decision-making to ensure they select and invest wisely in optimized systems. This paper presents background literature of knowledge acquisition in manufacturing. The data, information and knowledge generated within the technology selection process are then studied. A conceptual framework to improve expertise transfer is presented for manufacturing technology decision support. The model identifies the link in a manufacturing organization to combine and improve the overall approach to manufacturing technology investment by collating relevant experience.

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Section: Figure 1 Data Information and Knowledge [5]mentioning

confidence: 99%

Intelligent experience based support tools for aerospace manufacturing technology selection

Evans

Lohse

Summers

2012

2012 IEEE Aerospace Conference

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“…However, there is a lack of appropriate techniques that can cost effectively capture and represent process ID for assessing and re-assessing the feasibility of realising further performance improvements at the system or enterprise level. This deficiency in current techniques for attaining a better understanding of internal business processes and knowledge intensive operations is also suggested by Bateman and Rich (2003), and Baxter et al (2009). Therefore, the existing techniques cannot be readily applied to the performance context beyond the operations performance ceiling.…”

Section: Related Researchmentioning

confidence: 99%

Capturing and evaluating process information for high‐performance complex manufacturing operations

Tiwari

Younis

Turner

et al. 2010

Journal of Manufacturing Technology Management

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Purpose -The purpose of this paper is to propose a methodology for rapidly and reliably capturing, representing and analysing process systems to facilitate the potential for operations performance improvement within a complex product design and manufacturing facility operating in a high-performance business environment. Design/methodology/approach -This paper demonstrates the proposed methodology within an electro-mechanical design and manufacturing environment producing complex non-standard products for a global market. The technique has national and international application for a wide spectrum of design and manufacturing facilities. Findings -The authors also demonstrate the effectiveness of the proposed methodology in capturing, representing and analysing processes to assess the feasibility of and identify the issues involved in realising further performance improvements in an existing complex product, high variety, design and manufacturing facility. Practical implications -Through the enhanced level of understanding of business processes and knowledge intensive operations, the design and manufacturing facilities managers can now realise the next level of performance enhancement by fully exploiting the potential of performance improvement initiatives. Since the proposed methodology creates an environment in which risks inherent in new techniques are controlled, the facilities managers can also gain competitive advantage by becoming the early adopters of radical performance enhancement approaches. Originality/value -Most major and many smaller manufacturing companies have adopted the popular performance improvement initiatives. These companies are now striving to achieve the next level of performance enhancement at the system or enterprise level and require a better understanding of their business processes and knowledge intensive operations. This understanding needs to be achieved rapidly, cost effectively and in a readily communicable and quantifiable form to allow analysis and ongoing re-analysis within the volatile industrial environment. The proposed methodology achieves this through the identification, communication, understanding and analysis of the internal and external interactions and dependencies of the facility.

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“…Reviews of manufacturing-related KM [5,6] suggest that the diversity of KM approaches, together with their foci and objectives is comparable to that found in paradigm development. Numerous KM methods are aligned with particular paradigms and other functional aspects of manufacturing organisations, several methods employing ontological approaches to knowledge definition.…”

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confidence: 90%

A dynamic curation method for manufacturing-related knowledge

Wood

2016

International Journal of Production Research

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A method for the dynamic curation of manufacturing-related knowledge is proposed, based on the impact of successive paradigm introduction on the network structure within manufacturing companies. This draws together manufacturing system structure in terms of interacting component network types, the nature and consequences of knowledge silos and the underpinning dichotomous influence of language. The need and opportunities for an objective-rather than subjective paradigm-based view of manufacturing are identified, leading to a curation process in which paradigms and other knowledge specialisms are different viewpoints based on particular models of manufacturing processes and resources. The consequences of this are explored in terms of knowledge silo reduction, improved communication within component social-and information networks, increased operational resilience and better informed decision-making for future business.

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Managing knowledge within the manufacturing enterprise: an overview

Cited by 10 publications

References 75 publications

Intelligent experience based support tools for aerospace manufacturing technology selection

Intelligent experience based support tools for aerospace manufacturing technology selection

Capturing and evaluating process information for high‐performance complex manufacturing operations

A dynamic curation method for manufacturing-related knowledge

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