Recent development of knowledge-based systems, methods and tools for One-of-a-Kind Production

Li, B. M.; Xie, Shane; Xu, Xun

doi:10.1016/j.knosys.2011.05.005

Cited by 80 publications

(32 citation statements)

References 116 publications

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“…CBR utilises similarity mechanisms in order to compare past cases stored in the repository and the target case, i.e. a new product, based on case's features or attributes [10]. The most similar cases to the new one are recalled in order to provide recommendations [11].…”

Section: State Of the Artmentioning

confidence: 99%

“…Among AI methods, CBR, which focuses on solving problems by adapting acceptable solutions and comparing differences and similarities between previous and current products, has been utilised for lead time estimation. An approach based on CBR was applied during product development in [35], and it effectively reduced lead time and improved the problem-solving capabilities. The literature review makes apparent that the CBR and the data mining techniques should be further considered for supporting decision supports tools [22], especially in determining machining sequence and processing times.…”

Section: State Of the Artmentioning

confidence: 99%

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A mobile application for knowledge-enriched short-term scheduling of complex products

2016

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The ever-increasing product complexity, especially for the case of engineer-to-order products, highly affects the performance of manufacturing systems. Therefore, a high degree of flexibility is needed during daily decision-making activities, such as production scheduling. For addressing this challenge, this research work proposes a knowledge-enriched short-term job-shop scheduling mechanism, which is implemented into a mobile application. More precisely, it focuses on the short-term scheduling of the resources of the machine shop, through an intelligent algorithm that generates and evaluates alternative assignments of resources to tasks. Based on the requirements of a new order, a similarity mechanism retrieves successfully executed past orders together with a dataset that includes the processing times, the job and task sequence, and the suitable resources. In addition to that, the similarity mechanism is used to calculate the due-date assignments of the orders based on the knowledge stored in past cases. Afterwards, it adapts these parameters to the requirements of the new order so as to evaluate the alternative schedules and identify a good alternative in a timely manner. The deriving schedule can be presented on mobile devices, and it can be manipulated by the planner on-thefly respecting tasks precedence constraints and machine availability. A case study from the mould-making industry is used for validating the proposed method and application.

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Section: State Of the Artmentioning

confidence: 99%

Section: State Of the Artmentioning

confidence: 99%

A mobile application for knowledge-enriched short-term scheduling of complex products

2016

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“…The model for these kinds of knowledge-based Internet systems is known as the Semantic Web [42]. The term is broad, and is used to refer to many kinds of systems; examples include IBM's Watson [43] and the Wolfram Language [44].…”

Section: Impact Of Knowledge Base Development On Knowledge Managementmentioning

confidence: 99%

The Impact of Intelligent Interfaces on the Performance of Knowledge Base Systems

Ajeeli¹

2016

IRA-JTE

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IntroductionKnowledge adaptation is gaining widespread attention as a strategic tool for the competitiveness of organizations both in the management literature and in popular press. A knowledge base (KB) is a technology used to store complex structured and unstructured information used by a computer system. The initial use of the term was in connection with expert systems which were the first knowledgebased systems. However, knowledge creation and management is not simply the capture and storage of information. It also requires the storage and processing of associations (rules) through which meaning can be derived from the items of information and can be stored in explicit and observable form.

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“…It has been a broadly accepted fact that product knowledge can assist OKP companies to increase profit and quality while reducing time spent on new product development, reduces the negative impact of the loss of expertise, and enables agile OKPPD [2,[6][7][8][9]. Therefore, a suitable product knowledge modelling approach is essential for the survival of OKP companies [10].…”

Section: Related Workmentioning

confidence: 99%

“…The characteristics of OKP are defined and discussed in detail in the literature [1][2][3]. This paper focuses on product data exchange and sharing (DES) issues involved in supporting collaborative OKP product development (OKPPD).…”

Section: Introductionmentioning

confidence: 99%

Step-Based Data Sharing and Exchange in One-of-a-Kind Product Collaborative Design for Cloud Manufacturing

Xie

Sang

2013

Advances in Mechanical Engineering

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With the trend for global collaboration, there is a need for collaborative design between geographically distributed teams and companies. In particular, this need is inevitable in the companies doing their business based on one-of-a-kind production (OKP). One important problem is the lack of interoperability and compatibility of data between different CAx systems. This problem is further highlighted in data exchange in cloud manufacturing. To the best of authors' knowledge, current studies have limitations in achieving the interoperability and compatibility of data. In this paper, a STEP-based data model is proposed to represent OKP product data/knowledge, which contains four categories of product knowledge (i.e., customer, product, manufacturing, and resource resp.). A STEP-based data modelling approach is proposed to describe each category of knowledge separately and then connect them to form the final integrated model. Compared with most current product models, this model includes the more complete product data/knowledge involved in OKP product development (OKPPD), and thus it can provide more adequate knowledge support for OKPPD activities. Based on the proposed STEP-based data model, a product data exchange and sharing (DES) framework is proposed and developed to enable DES in collaborative OKPPD in the cloud manufacturing environment. Case studies were carried out to validate the proposed data model and DES framework.

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Recent development of knowledge-based systems, methods and tools for One-of-a-Kind Production

Cited by 80 publications

References 116 publications

A mobile application for knowledge-enriched short-term scheduling of complex products

A mobile application for knowledge-enriched short-term scheduling of complex products

The Impact of Intelligent Interfaces on the Performance of Knowledge Base Systems

Step-Based Data Sharing and Exchange in One-of-a-Kind Product Collaborative Design for Cloud Manufacturing

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