Process planning knowledge representation using an object-oriented data model

Šormaz, Dušan; Khoshnevis, Behrokh

doi:10.1080/095119297131219

Cited by 47 publications

(15 citation statements)

References 8 publications

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“…The model utilizes object-oriented representation [13] which is capable to store the necessary information that is required during process selection, sequencing and scheduling. Feature object model, process object model, manufacturing process model are some of the components of CAPP knowledge model.…”

Section: Rule Based Process Selection (Rbps)mentioning

confidence: 99%

RULE-BASED PROCESS PLANNING AND SETUP PLANNING WITH CONSIDERATIONS OF GD&T REQUIREMENTS

Šormaz

Wakhare

Arafat

2017

IJAQ

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Section: Rule Based Process Selection (Rbps)mentioning

confidence: 99%

RULE-BASED PROCESS PLANNING AND SETUP PLANNING WITH CONSIDERATIONS OF GD&T REQUIREMENTS

Šormaz

Wakhare

Arafat

2017

IJAQ

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“…Many of these systems are severely limited by the types of knowledge currently used in knowledge base and database systems technology (Sormaz and Khoshnevis 1997). The nature, diversity and complexity of knowledge require knowledge representation schemas to be as flexible and robust as possible (Gorti et al 1998).…”

Section: Z31 Knowledge Based Systemsmentioning

confidence: 99%

A manufacturing model to enable knowledge maintenance in decision support systems

Guerra-Zubiaga

Young

2006

Journal of Manufacturing Systems

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DEDICATIONThis thesis is dedicated to:My beloved wife Claudia and son David Alejandro, without whose moral support this work would not have been completed. Your presence in my life has enabled me to achieve all that I have. With all my love to them.To my parents who taught me the merit of education and for the generous love they gave me throughout my life.To my parents-in-law for their love, encouragement and support.To my relatives because they are important in my life.To God, thank you for everything YOU always give me. A very special thanks to Aysin, Dean, Shilpa, Roberto, Alex, Adrian, and their respective families for their hospitality, which helped us to have a second home. Claudia, David Alejandro and myself express our sincere gratitude for your friendship.Thanks to God for letting me get to the end of this journey. IV ABSTRACTThe product development process, within a typical manufacturing company, utilises huge amounts of knowledge related to manufacturing and design activities. Knowledge based systems are increasingly being used to support manufacturing and design decisions. These systems are important tools for obtaining a competitive advantage and leverage using company "know-how". However, it is important to define suitable knowledge structures in the creation of these decision support systems. Due to the significant volume of knowledge generated in the manufacturing and design stage, there is a need to create structures and methods that readily manage and maintain the knowledge in order to a) assure the long-term use of these systems b) improve the company's competitiveness.The research reported in this thesis explores and defines a Manufacturing Facility Information and Knowledge Model (MFIKM) allowing a) the ability to store and manage various types of knowledge, b) the capturing of valuable new knowledge using a knowledge maintenance method. The understanding of an information and knowledge infrastructure using different types of knowledge categorisation has been explored. The major emphasis has been placed on understanding the facility knowledge structure related to processes and resources supporting process planning decisions. Using a knowledge maintenance life cycle as a method to maintain knowledge, it was possible to capture new and valuable machining knowledge using different types of representations. Knowledge models and methods are essential in the definition of structures to support manufacturing decisions allowing knowledge management and maintenance.It has been shown that the knowledge structures defined for the new model can serve as a source and repository for different types of knowledge allowing the support of manufacturing decisions with up-to-date knowledge. The framework defined enables the structuring of facility knowledge, processes, and resources, as super classes; improving the understanding of the relationships and dependencies among them, and allowing accessibility depending on the characteristics of each. A UML tool helped in the creation of new structures detailing attr...

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“…Knowledge-based engineering (KBE) approaches are used in many CAx systems to support decision making, such as functional design, geometric constraint solving, parametric design, assembly oriented design, feature recognition, determining tooling components or layout, and process planning Lee and Kim 1996;Myung and Han 2001;Zhang and Xue 2002;Zha et al 2001a,b;Henderson 1984;Lee et al 1997;Mok et al 2001;Sormaz and Khoshnevis 1997;Park 2003;Chen et al 2006). KBE approaches provide a better way than pure geometric modeling to embed engineering intent during product development processes.…”

Section: Knowledge-based Engineeringmentioning

confidence: 99%

Paradigm shift: unified and associative feature-based concurrent and collaborative engineering

Chen

Thimm

2008

J Intell Manuf

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With widely used concurrent and collaborative engineering technologies, the validity and consistency of product information become important. In order to establish the state of the art, this paper reviews emerging concurrent and collaborative engineering approaches and emphasizes on the integration of different application systems across product life cycle management (PLM) stages. It is revealed that checking product information validity is difficult for the current computer-aided systems because engineering intent is at best partially represented in product models. It is also not easy to maintain the consistency among related product models because information associations are not established. The purpose of this review is to identify and analyze research issues with respect to information integration and sharing for future concurrent and collaborative engineering. A new paradigm of research from the angle of feature unification and association for product modeling and manufacturing is subsequently proposed.Keywords Concurrent and collaborative engineering · Feature-based design and manufacturing · Product life cycle modeling · Information validity and consistency

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Process planning knowledge representation using an object-oriented data model

Cited by 47 publications

References 8 publications

RULE-BASED PROCESS PLANNING AND SETUP PLANNING WITH CONSIDERATIONS OF GD&T REQUIREMENTS

RULE-BASED PROCESS PLANNING AND SETUP PLANNING WITH CONSIDERATIONS OF GD&T REQUIREMENTS

A manufacturing model to enable knowledge maintenance in decision support systems

Paradigm shift: unified and associative feature-based concurrent and collaborative engineering

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