Distributed design of product oriented manufacturing systems

Manufacturing leanness and agility are requirements of today’s manufacturing systems. Leanness call for a best fit of the manufacturing systems to products, therefore requiring product oriented manufacturing systems (POMS). Manufacturing agility can be achieved through easy systems reconfiguration to fit changing manufacturing requirements, which may mean dynamically configuring POMS. For this a suitable design system is required. Due to complexity of this design, and to the need for using suitable design methods, which may not be available locally, distributed sources of design services can be used. This paper presents and describes a prototype of a Distributed Design system for POMS based on a POMS design methodology and distributed suppliers of design services

Identifying component modules

A computer-based system for modelling component dependencies and identifying component modules is presented. A variation of the Dependency Structure Matrix (DSM) representation was used to model component dependencies. The system utilises a two-stage approach towards facilitating the identification of a hierarchical modular structure. The first stage calculates a value for a clustering criterion that may be used to group component dependencies together. A Genetic Algorithm is described to optimise the order of the components within the DSM with the focus of minimising the value of the clustering criterion to identify the most significant component groupings (modules) within the product structure. The second stage utilises a 'Module Strength Indicator' (MSI) function to determine a value representative of the degree of modularity of the component groupings. The application of this function to the DSM produces a 'Module Structure Matrix' (MSM) depicting the relative modularity of available component groupings within it. The approach enabled the identification of hierarchical modularity in the product structure without the requirement for any additional domain specific knowledge within the system. The system supports design by providing mechanisms to explicitly represent and utilise component and dependency knowledge to facilitate the nontrivial task of determining near-optimal component modules and representing product modularity

Computational framework for interactive architecting of complex systems

Presented is a novel framework for interactive systems architecture definition at early design stages. It incorporates graph‐theoretic data structures, entity relationships, and algorithms that enable the systems architect to operate interactively and simultaneously in different domains. It explicitly captures the “zigzagging” of the functional reasoning process, including not only allocated, but also the derived functions. A prototype software tool, AirCADia Architect, was implemented, which allowed the framework to be demonstrated to and tried hands‐on by practicing aircraft systems architects. The tool enables architects to effectively express their ideas when interactively synthesizing new architectures, while still retaining control over the process. The proposed approach was especially acknowledged as the way forward for rationale capture

On Abduction in Design

The mechanism of design reasoning from function to form is addressed by examining the possibility of explaining it as abduction. We propose a new interpretation to some definitions of innovative abduction, to show first that the concept, idea, as the basis for solution must be present in the inference, and second, that the reasoning from function to form is best modeled as a two-step inference, both of the innovative abduction pattern. This double-abductive reasoning is shown also to be the main form of reasoning in the empirically-derived “parameter analysis” method of conceptual design. Finally, the introduction of abduction into design theory is critically assessed, and in so doing, topics for future research are suggested

Requirement Analysis for the Design of Smart Logistics in SMEs

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Modelling Semiosis of Design

This paper addresses the modelling of the cognitive and evolutionary aspects of engineering design in support of two broad goals: the better understanding of product life cycle processes, and the development of relevant information infrastructure services. The modelling elements are derived from the Framework of Industrial Semiosis. The semiosis of evolutionary design is explained, and general principles of the evolution of the product concept are formulated

Exploring specific features of Transport Interchange Hubs (TIH) design, taking into account the climatic conditions of the Russian Arctic

This paper provides a more detailed analysis of the context of designing Transport Interchange Hubs (TIHs) in the Arctic Zone of the Russian Federation (AZRF). It uses a design framework proposed by another paper also presented in this conference by the same authors [1] to discuss how green spaces can be inte-grated to TIHs in extreme climates to enhance the qualities of different types of spaces inside terminals considering implications of these in the overall assess-ment of building performance. It also discusses, the way pedestrian flow and movement is modelled and simulated in Russia in relation to the different simula-tion techniques used in other countries (mainly the West) and what are the ad-vantages these different models offer in the assessment of design decisions for TIHs in the AZRF considering how these could potentially be integrated with parametric design tools, finishing by highlighting complexities involved in de-signing compact buildings, a necessary requirement to reduce heat losses and the impact of building footprint on the permafrost. As the AZRF is now experiencing unprecedented economic development and completely lacks transport integrated facilities (TIHs) this paper attempts to review and discuss specific features of these buildings so new developments currently planned for the Russian Arctic can be better designed and assessed mainly in relation to pedestrian flow and their integration with opportunity spaces to improve the quality of passengers’ waiting time