James Gao

Open standard, open source and peer-to-peer tools and methods for collaborative product development

This paper reports on a collaborative product development and knowledge management platform for small to medium enterprises. It has been recognised that current product lifecycle management (PLM) implementations are document oriented, have a non-customisable data model and inter-enterprise integration difficulties. To overcome these, an ontological knowledge management methodology utilising the semantic web initiative data formats was added to a PLM and an open source alternative. Shortcomings of centralised architectures are highlighted and a solution using a de-centralised architecture proposed. This is implementable at low cost; the scalability increases in line with user numbers. Ontologies, rules and workflows are reusable and extendable.

Application of product data management technologies for enterprise integration

Product Data Management (PDM) systems and their offspring, Collaborative Product Development and Product Lifecycle Management technologies, aim to bring engineering enterprises together, allowing seamless interoperability between different departments and throughout the extended enterprises. However, there are a number of shortcomings in the current crop of commercially available systems, such as the lack of design knowledge sharing, links with Enterprise Resource Planning systems, knowledge management tools and a generic standard for PDM system implementation. This paper presents a proposed software solution to some of the above problems. In particular, the paper describes methodologies being developed that are aimed at overcoming the lack of analysable product information at the conceptual stage of product design and manufacturing evaluation, along with the integration of such a concept design tool within a distributed environment. A leading PDM system is used to manage all the information and knowledge that is made available to internet/intranet users in a controlled manner. The international standard for exchange of product data model (STEP) is implemented to enable the integration of the design environment with manufacturing and enterprise resource management systems. In addition, the paper also introduces three other recent/ongoing projects, being carried out at Cranfield University, in the application of PDM, knowledge management and STEP standard for integrated manufacturing businesses.

A knowledge management framework to support product-service systems design

This paper presents a framework for knowledge reuse in a product-service systems design scenario. The project aim is to develop a methodology to capture, represent and reuse knowledge to support product development in a collaborative enterprise context. The three core elements are: design knowledge, manufacturing capability knowledge, and service knowledge. There are three principal components of the proposed methodology. The first is a process based design model: defining design according to specific tasks, and associating previous knowledge with those tasks. The second is manufacturing capability knowledge: supporting feature based design and manufacture through representing machining features, best practices in machining and inspection, and machining capability. The third component is service knowledge: ensuring that design takes account of the service requirement. The developing paradigm of product-service systems and the requirement for co-design of products and services has influenced the structure of the knowledge base, as well as outlining specific service related requirements. This paper presents the proposed knowledge base structure along with a detailed case study in which the proposal was developed and validated.

A Web-based Product Service System for aerospace maintenance, repair and overhaul services

Manufacturing enterprises around the world have made significant efforts to provide high value added services in addition to their traditional product development and manufacturing business. A product service system (PSS) is presented in this paper which aims to better integrate product development with maintenance and service operations. This project focuses on the maintenance, repair and overhaul (MRO) services in the aerospace industry. A MRO service model is proposed for the development of the proposed PSS. An ontology-based knowledge representation model is developed for the reuse of knowledge unambiguously in MRO services. An initial attempt has been made to demonstrate the role of PSS in the aerospace industry as a decision support tool for MRO services. Product lifecycle management (PLM) environment and Web-based technologies have been developed to enable the methodology to provide services and support in the aerospace manufacturing and flight operations business.

Developing a service knowledge reuse framework for engineering design

The manufacturing industry is shifting its emphasis from a traditional supplier of products to a supplier of increasingly integrated products and services, or product-service systems (PSSs). The new paradigm of PSS requires new design methodologies and supporting tools for the effective design and delivery of these enhanced services and integrated PSSs. A case study has been carried out to identify and classify service knowledge applied in practice, both in the service operation and in product design. This paper describes the service issues and service knowledge that has an impact on product design. An initial attempt is made to describe the role of service knowledge in design and also to describe in detail how to apply service knowledge in the conceptual design stage based on an existing requirements management framework modified for this context. This research makes an important contribution to the developing knowledge and information requirements of PSS design.

A methodology to facilitate knowledge sharing in the new product development process

This paper describes the findings of an exploratory case study to investigate knowledge sharing problems in the new product development (NPD) process of a multi-national manufacturing company, and classifies the problems into three categories, i.e. (a) the lack of an explicit definition and prioritization of information about the knowledge used in the NPD process, (b) the challenges raised by, and lack of tools to support, knowledge sharing in a multilingual, multidisciplinary environment, and (c) the dissemination of information about the task and process knowledge to process users. An ontology-based methodology has been proposed, and a pilot study has been carried out to solve these problems. The pilot study includes the selection of suitable candidate tasks (or sub-processes) for the study, the elicitation of information about the selected task knowledge, the development of task knowledge ontology, and a mechanism to visualize and disseminate the ontology to process users. Early implementation and tests have shown that the proposed methodology may be used to facilitate knowledge sharing in the new product development process. The project was sponsored by a leading heating system manufacturer and further tests will be carried out with real industrial problems.

A methodology for best practice knowledge management

Abstract Capturing and reusing knowledge of best practices has been identified as one of the requirements for next-generation product development. Knowledge identification is therefore already being done to some degree in many organizations, through instruction manuals or ‘how to’ guidelines. However, this is only a first step, as to fully exploit valuable knowledge, best practices must be identified and shared. A detailed review of previous research in best practice knowledge management shows that the method of modelling best practice knowledge and the resulting model structure are critically important for the successful reuse of best practice knowledge. Yet, to date, only limited research has been focused on these aspects. This paper therefore presents research into a methodology to determine ways for better communication, sharing, and reuse of best/good practice knowledge. The proposed methodology has been divided into two parts: firstly, the identification of best practices for product development, and secondly, the structuring of best practice knowledge for effective sharing and reuse. This methodology encourages the adoption of best practices by providing knowledge about both process and implementation elements. This makes the explicit knowledge easier to find and reuse. Once a best practice is found to suit current requirements and circumstances, an expert who has identified and used the best practice can also be contacted to gain additional knowledge/information. This helps to address the challenges posed by ‘tacit’ knowledge, which cannot easily be shared within the knowledge base.

A method for engineering design change analysis using system modelling and knowledge management techniques

Engineering design change management is very important to the success of engineering product development. It has been recognised that the earlier change issues are addressed, the greater product lifecycle costs can be saved. However, in practice, most engineering changes happen in the manufacturing phase, the later phase of product development. Change issues happening in the design phase, especially between the functional and the structural domains, have been a research focus in recent years, and thus there is significant research work that has been carried out to resolve early engineering change issues from different perspectives. This article presents a novel methodology that has been developed to help designers trace, analyse and evaluate engineering changes occurring in the product design phase. A modelling method is employed to enhance the traceability of potential design changes occurred between the functional and structural domains of design. Based on functional and physical models, a matrix-based method is developed to analyse change propagations between components and help find out design conflicts arising from design changes. A knowledge-based method has been proposed to resolve design conflicts by reusing previous design change knowledge. An industrial example about changes of a wind turbine cooling system has been used to help understand the methodology and prove its usefulness.

A knowledge system to support manufacturing knowledge during preliminary design

The integration of manufacturing knowledge into the product introduction process is presented as a knowledge management problem. Concurrent engineering techniques are highly effective in sharing manufacturing knowledge, particularly for the re-use of knowledge at the detail design stage when the geometry has been developed. This research considers the use of manufacturing knowledge in the earlier, preliminary stage of design where the geometry is not so developed and where development of manufacturing technology may be required. An exploratory case study was carried out with a manufacturer of gas turbine engines for the civil aviation market. Semi-structured interviews were carried out to investigate the manufacturing knowledge required and its format. Using a data-driven analysis, a thematic code was developed and three themes emerged: manufacturing impact, expressions of impact and knowledge type. These themes indicate the requirement for a hybrid social-technical system to support both the tacit and explicit elements of manufacturing knowledge. An indication of the maturity of the manufacturing process also emerged as a major requirement in order to synchronize manufacturing technology developments with future product requirements. A prototype knowledge system is now being developed to meet the requirements identified through the coding analysis. The specification of the system, which uses a combination of information and social systems, is discussed.

A progressive design and manufacturing evaluation system incorporating STEP AP224

Most of the important cost related design decisions are taken in the early design stages. More often than not, designers have little or no knowledge of the manufacturing difficulties. Therefore, a design engineer typically designs components without consideration for manufacturing difficulties. This paper describes a product data management (PDM) based system for manufacturing evaluation and analysis in the early design stages. The system is based on a process planning system and an embedded expert system to resolve the abstract data usually associated with the early design stages. The system will allow early measurement of design in terms of time, manufacturing cost and resources. Early measurement of design would be especially helpful in supporting new design techniques like simultaneous design and concurrent engineering. The system is being developed in industrial collaboration with LSC Group, UK, which is a pioneering company in the field of automated process planning using STEP (standard for exchange of product data) AP224 standard.