Ontology-Based Representation of Meta-Design in Designing Decision Workflows

Abstract

Utilizing the enterprise capital related the knowledge of design processes has become crucial to improve enterprise agility and respond to shifts or changes in markets. The complexity and uncertainty of design raise the challenge of capturing tacit knowledge and the ability to aid in designing design processes. In this paper, ontology is proposed for capturing, representing, and documenting the knowledge related to hierarchical decision workflows in the meta-design of complex engineered systems. The ontology is developed in the context of decision support problem technique (DSPT), considering the requirements being able to guide assistance in designing design workflows, and integrating problem, product, and process information in a design decision-making process. Then, the approach for building procedure of process templates is presented to facilitate the reuse of the populated template instances in future design. Finally, the meta-design of the heat exchanger in a small thermal system is presented as an example to illustrate the effectiveness of this approach.

A twin data-driven approach for user-experience based design innovation

“…In terms of the design information, the representation methods can be summarized into three different approaches, including logic-based representation, matrix-based representation, and graph-based representation (Wang R, 2018). In the logic-based representation, concepts and explicit relationships are described using first-order logic, description logic, production rule, and so forth (Witherell et al, 2010).…”

“…Meanwhile, regarding the representation and archiving of design information, the conventional approaches are typically centred on structuring function-related design information (Hu et al, 2022). For example, user needs are translated into functional-related statements and design information is represented in functional aspects, such as function and behaviour, and structural aspects, such as component and solution Wang R, 2018).…”

Conceptualization of Industry 4.0 technology for the production of tailor-made furniture – a case study

“…Wynn and Clarkson [35] emphasize the importance of integration, interoperability and sustainability across the product lifecycle for increasing business agility. Wang et al [36] suggest using a strategic approach based on product lifecycle management (PLM), considering product data and information as part of design activities and core business processes. In the context of I4.0, processing intellectual capital is increasingly valued as the key to improving business agility and realizing the benefits of smart manufacturing.…”

Production Rule Ontology of Automatized Smart Emergency Dispatching Support of the Power System

“…In [10] interprets an ontology model as general formalism for scientific knowledge systematization. Problems and tasks solved in ontological information systems are focused upon.…”