Change prediction using interface data

Hamraz, Bahram; Hisarciklilar, Onur; Rahmani, Keyvan; Wynn, David C.; Thomson, Vince; Clarkson, P. John

doi:10.1177/1063293x13482473

Cited by 33 publications

(19 citation statements)

References 35 publications

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“…In a PSS platform, there are three kinds of interface, the interface between product modules, the interface between service modules, and the interface between product and service modules. The interface between product modules has been fully discussed by many scholars [14,15]. This article concentrates on the interface between service modules and the interface between product and service modules.…”

Section: Phase 2 Modularize Pssmentioning

confidence: 99%

Applying Platform Design to Improve Product-Service Systems Collaborative Development

Chen

Chu

2014

Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications

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Part 3: Product-Service SystemsInternational audienceThe promise of Product-Service Systems (PSS) is that it might revolutionize the consumer experience, increase the manufacture’s profits and reduce environmental impacts by providing comprehensive solutions instead of pure physical products or services. However, most of the existing researches and applications on PSS are focus on the new PSS development (NPD) which could increase the customer satisfaction but could not enhance the profits of an enterprise effectively. Therefore, the platform design theory is adopted to support collaborative development of PSS. The customer requirements are forecasted by Kano model. Instead of completely innovation design, existing products and services are analyzed by function decomposition methods and the modular technology to support the PSS development. Finally, a case study of the crane machine PSS portfolios shows the effectiveness of the proposed approach

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Section: Phase 2 Modularize Pssmentioning

confidence: 99%

Applying Platform Design to Improve Product-Service Systems Collaborative Development

Chen

Chu

2014

Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications

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“…Pimmler & Eppinger (1994) used static DSMs to identify and examine alternative product architectures and described four types of interactions referred as spatial (S), material (M), energy (E), and information (I) between the decomposed entities along with the quantification scheme that facilitated weighing interactions amongst them, as shown in Figure 4a. Many researchers (Otto & Wood, 2001;Rahmani & Thomson, 2012;Hamraz et al, 2013;Uddin et al, 2015) have adopted and (Sosa et al, 2003;Jarratt et al, 2004) extended this four-interaction taxonomy. For example, Sosa et al (2003) extended the four-exchange taxonomy with an introduction of fifth type as 'structural' (P) that indicated the requirements related to transferring loads or containment between two interfacing entities.…”

Section: Structural Modellingmentioning

confidence: 99%

A framework for complex product architecture analysis using an integrated approach

Uddin

Khan

Campean

et al. 2016

Concurrent Engineering

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Contemporary design decomposition and synthesis analytical tasks at the conceptual design stage reply on functional and structural modelling approaches. There is a wide diversity of elements used by various modelling approaches for information and representation of product architecture, which incurs difficulties for multidisciplinary engineers working across different phases of design in capturing, visualising, sharing and tracing consistent yet common knowledge and elements across the function and structure domains. This prompts for fixation of detail and common modelling knowledge across both functional and structural analytical approaches which is also critical from automatized software perspective. A limitation of existing approaches is that they tend to focus more on 'what' and less on 'how' (and vice versa). This paper proposes an integrated conceptual product architecting approach that combines and expands the functional and structural modelling approaches, enabling capturing and tracing knowledge coherently through a common binding domain. This is underpinned by the view that most interaction requirements amongst the physical components during structural modelling can be derived from functional modelling. The proposed integrated approach is underpinned by the critical analysis and synthesis of existing approaches in literature dealing with functional and structural architecture analysis, integrated within a Multiple Domain Matrix (MDM) to fuse the knowledge of both solution independent (functional) and dependent (structural) analyses. The proposed framework is illustrated with a case study of solar robot toy, followed by discussion and suggestions for future work.

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“…Koh changes at a time. Several developments have been presented to the basic CPM (Hamraz et al, 2012;Hamraz et al, 2013b;Ahmad et al, 2013) to enrich the method with a better prediction and change propagation measurements. The most recent extension links the CPM with a function-behavior-structure (FBS) linkage method (Hamraz and Clarkson, 2015).…”

Section: Change Propagation Approachesmentioning

confidence: 99%

Design Optimization for Sustainable Products Under Users' Preference Changes

Afshari

Peng

2016

Journal of Computing and Information Science in Engineering

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Decisions made in the early design phase enormously contribute to the performance of a product during its life cycle. Since users' preferences may change over time, a product design should be revised under the preference change. Providing accurate data for designers ensures an optimal decision for product design; this research presents a new method to assess effects of the quantified changes on product cost and development time. In addition, two models to optimize design under unexpected disturbances are proposed. Normally, optimal parameters require several search iterations in design process before finalizing a product. The design time in terms of number of iterations can be reduced by adding resources in each iteration using modern control engineering methods. However, adding resources will increase the design cost. The proposed method in this research minimizes the total product design cost and environmental impacts under changes of users' preferences. The method is validated using an example of the smartphone design. The research novelty is a method of applying quantified changes of external disturbances (such as changes in users' preferences) in the design process, addressing a real problem in industry, and proposing optimal models of products for reduced cost and environmental impacts.

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Change prediction using interface data

Cited by 33 publications

References 35 publications

Applying Platform Design to Improve Product-Service Systems Collaborative Development

Applying Platform Design to Improve Product-Service Systems Collaborative Development

A framework for complex product architecture analysis using an integrated approach

Design Optimization for Sustainable Products Under Users' Preference Changes

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