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1 – 10 of over 274000Examines the conceptual design of robotic assembly systems inconjunction with the analysis and optimization of the product and processdesign. Explains how an integral assembly…
Abstract
Examines the conceptual design of robotic assembly systems in conjunction with the analysis and optimization of the product and process design. Explains how an integral assembly model is utilised to study the relationships between assembly variables which play a role in each stage of the design process. Outlines the characteristics and benefits of the concentric design process and explains the total productivity concept. Concludes that the integral assembly model, which underlies the concentric design process, provides the opportunity to store product, process and system data and can therefore be considered as a reference model for product development and process planning as well as for the design and analysis of assembly systems.
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Yuan Fu Qiu, Yoon Ping Chui and Martin G. Helander
The purpose of this research is to aim to improve the cognitive understanding of knowledge processing and provide a cognitive knowledge modeling method in product design.
Abstract
Purpose
The purpose of this research is to aim to improve the cognitive understanding of knowledge processing and provide a cognitive knowledge modeling method in product design.
Design/methodology/approach
In this paper, a cognitive model of knowledge processing is described. A cognitive knowledge modeling method is presented. Suggestions on cognitive support for knowledge based systems are provided.
Findings
There is often a fundamental mismatch between the way human process knowledge and the way it is processed by technology for supporting product design. It is necessary to develop tools, methods and technology which integrate seamlessly with the design process. This study focuses on the internal human activities and explores knowledge management research from a human factors perspective. Cognitive knowledge modeling will result in a natural integration of knowledge‐based systems into the design process.
Research limitations/implications
This study uses an experimental approach and hopefully the research can therefore be generalized to other situations.
Practical implications
This study provides guidelines for cognitive support for knowledge‐based systems.
Originality/value
Cognitive knowledge processing is described and a cognitive knowledge modeling method is presented. The paper explores knowledge management research by analyzing human activities, in combination with the study of management and engineering technologies.
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Johan Lilja and Daniel Richardsson
Appreciative inquiry (AI) is an inquiry into the “best of” what already exists in a system. Applying AI at the start of a design process gives a process that is very different…
Abstract
Purpose
Appreciative inquiry (AI) is an inquiry into the “best of” what already exists in a system. Applying AI at the start of a design process gives a process that is very different from traditional design approaches, in other words “appreciative design” is achieved. The overall purpose of this paper is to explore and contribute to a process of putting appreciative design into practice.
Design/methodology/approach
The researchers have, in their role as educational leaders, developed and applied a process for appreciative design within the context of the entrepreneurial educational program “Skarp Åre, Business and product development” at Mid Sweden University.
Findings
The process introduced is referred to as Appreciative Course Evaluation and Design (ACED). The benefits of ACED, found in comparison to conventional practice, include higher commitment by the course participants, lower risk in the design process, and increased student involvement in the evaluation and design process.
Originality/value
The paper contributes in general to increasing the understanding of how the strengths and principles of appreciative inquiry can be incorporated into design processes. It is hoped that the insights presented will inspire future research and application of appreciative design, not only to the evaluation and design of higher education, but also to the evaluation and design of products, services, organizations and society.
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This paper presents a research study conducted for evaluating the effectiveness of a conceptual model of a distributed process management environment in the establishment of a…
Abstract
This paper presents a research study conducted for evaluating the effectiveness of a conceptual model of a distributed process management environment in the establishment of a collaborative building design. At the highest level, the conceptual model of the distributed process management environment have the following features: (a) enables description of a plan of a design process, (b) enables enactment of a process according to its plan, and (c) enables control and management of the enactment of a design process. The paper also presents the findings of a verification and validation (V & V) study conducted for evaluating the fit between the needs and expectations of collaborating design groups and the solution provided by the conceptual model of the distributed process management environment.
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The purpose of this paper is to examine the successful design and management of high performance work‐based lifelong learning processes.
Abstract
Purpose
The purpose of this paper is to examine the successful design and management of high performance work‐based lifelong learning processes.
Design
The paper summarises the process management practices and contextual parameters that are being applied in the successful design and management of high performance work based lifelong learning processes.
Findings
The paper finds that innovations in lifelong learning process design and development are restricted by traditional pedagogical thinking and administrative practices, an over emphasis on e‐learning and insufficient consideration of the holistic contextual factors. Design solutions are dynamically based on the idea of a timeless organic order or meta‐planning.
Research limitations
This paper is an outline summary of extensive lifelong learning process design best practice work with client organisations. As with many innovations taking place at the leading edge of work‐based learning management there is a limited supply of reliable published information.
Originality/value
Satisfying the important questions relating to the achievement of more substantial learning relevance in programme curriculum, the coherence of processes for validating non‐formal and informal learning and the effective value of e‐learning systems, are currently key areas of debate and policy making in Europe in particular. Where public and private sector companies are finding local global solutions these results are of considerable value in informing quality design and the way forward.
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Niels Lohse, Svetan Ratchev and George Valtchanov
The development of reconfigurable modular production systems is one of the crucial factors for manufacturers to sustain their competitive advantage in areas such as precision…
Abstract
The development of reconfigurable modular production systems is one of the crucial factors for manufacturers to sustain their competitive advantage in areas such as precision assembly. To ensure the effective and cost efficient configuration and successive reconfigurations it is of critical importance to involve all stakeholders in the decision‐making process. The reported research is targeting the development of an integrated Web‐enabled decision‐making environment that supports some of the key assembly system engineering stages from user requirement specification to system implementation. The focus is on the design of assembly workstations based on detailed process requirements with a target of developing highly efficient and cost‐effective solutions. The paper presents an application framework for collaborative distributed design supported by domain ontologies and is illustrated using an industrial case study.
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One of the critical reasons for the nonacceptance of additive manufacturing (AM) processes is the lack of understanding and structured knowledge of design for additive…
Abstract
Purpose
One of the critical reasons for the nonacceptance of additive manufacturing (AM) processes is the lack of understanding and structured knowledge of design for additive manufacturing (DfAM). This paper aims to assist designers to select the appropriate AM technology for product development or redesign. Using the suggestion provided by the design assist tool, the user’s design alterations depend on their ability to interpret the suggestion into the design without affecting the design’s primary objective.
Design/methodology/approach
This research reports the development of a tool that evaluates the efficacy values for all seven major standard AM processes by considering design parameters, benchmark standards within the processes and their material efficacies. In this research, the tool provides analytical and visual approaches to suggestion and assistance. Seventeen design parameters and seven benchmarking standards are used to evaluate the proposed product and design quality value. The full factorial design approach has been used to evaluate the DfAM aspects, design quality and design complexity.
Findings
The outcome is evaluated by the product and design quality value, material suit and material-product-design (MPD) value proposed in this work for a comparative assessment of the AM processes for a design. The higher the MPD value, the better the process. The visual aspect of the evaluation uses spider diagrams, which are evaluated analytically to confirm the results’ appropriateness with the proposed methodology.
Originality/value
The data used in the database is assumed to make the study comprehensive. The output aims to help opt for the best process out of the seven AM techniques for better and optimized manufacturing. This, as per the authors’ knowledge, is not available yet.
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Hicham Barrar and Rocio Ruiz-Benitez
Manufacturing firms (MFs) nowadays are struggling to design and maintain an integrated product-service offer. This paper aims to explore the role of the supply chain (SC) in the…
Abstract
Purpose
Manufacturing firms (MFs) nowadays are struggling to design and maintain an integrated product-service offer. This paper aims to explore the role of the supply chain (SC) in the design of the Product-Service System (PSS). In particular, the study focuses on the Design for Supply Chain (DfSC) approach in order to understand its role and contribution to the Design for Product Service Supportability (DfPSSu) approach in supporting PSS design.
Design/methodology/approach
Based on the multiple-case study approach, this paper used in-depth-interviews method to collect primary data from four multinational car manufacturers and two academic researchers.
Findings
The study reveals how a better design of the SC is required for the development of a service supportability approach that, in turn, facilitates the design of the PSS. Additionally, Internet of Things (IoT) technologies support MFs to analyse the ongoing development of the PSS business model. Finally, a better design of PSS is essential for strengthening the integration of Product and Service Offerings.
Practical implications
This study suggests that MFs can build dynamic SC capabilities to deal with fundamental changes that occurred when adopting servitization.
Originality/value
This paper is among the first attempts to study the design process of the PSS business model in a real business context taking into account different design strategies.
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Anna Trubetskaya, Olivia McDermott and Anthony Ryan
This paper outlines how Design for Lean Six Sigma methods aided a medical device manufacturing company in developing a new strategic space management and approval process for its…
Abstract
Purpose
This paper outlines how Design for Lean Six Sigma methods aided a medical device manufacturing company in developing a new strategic space management and approval process for its manufacturing site.
Design/methodology/approach
The project demonstrates the application of the Design for Lean Six Sigma and structured Define, Measure, Analyse, Design, and Verify methodology in designing and implementing a process that enables the case study manufacturing site to improve its space utilisation and free up space.
Findings
The project was validated in one manufacturing department, and the Design for Lean Six Sigma methodology resulted in creating 15% new space for that area, with opportunities identified to free up 44.7% of the total manufacturing floor space and realise over €2.2 million cost savings as well as start to manufacture new products launched.
Research limitations/implications
The manuscript highlights for the first time how the Design for Lean Six Sigma methodology can be utilised for space utilisation and can be leveraged by other manufacturers. The current study's limitations are that it is a single-site case study application. Future longitudinal case studies on Design for Lean Six Sigma application in more manufacturing space utilisation projects would be useful. This study has implications for identifying best practices for Design for Lean Six Sigma methodology application in the device industry, thus improving the state of the art for introducing new manufacturing lines.
Originality/value
This is the first published work to utilise Design for Lean Six Sigma methodology for space utilisation in a medical device company. This review will provide medical devices and other manufacturing organisations with recommendations on utilising Design for Lean Six Sigma and design for improved space utilisation to reduce costs.
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Åsne Stige, Efpraxia D. Zamani, Patrick Mikalef and Yuzhen Zhu
The aim of this article is to map the use of AI in the user experience (UX) design process. Disrupting the UX process by introducing novel digital tools such as artificial…
Abstract
Purpose
The aim of this article is to map the use of AI in the user experience (UX) design process. Disrupting the UX process by introducing novel digital tools such as artificial intelligence (AI) has the potential to improve efficiency and accuracy, while creating more innovative and creative solutions. Thus, understanding how AI can be leveraged for UX has important research and practical implications.
Design/methodology/approach
This article builds on a systematic literature review approach and aims to understand how AI is used in UX design today, as well as uncover some prominent themes for future research. Through a process of selection and filtering, 46 research articles are analysed, with findings synthesized based on a user-centred design and development process.
Findings
The authors’ analysis shows how AI is leveraged in the UX design process at different key areas. Namely, these include understanding the context of use, uncovering user requirements, aiding solution design, and evaluating design, and for assisting development of solutions. The authors also highlight the ways in which AI is changing the UX design process through illustrative examples.
Originality/value
While there is increased interest in the use of AI in organizations, there is still limited work on how AI can be introduced into processes that depend heavily on human creativity and input. Thus, the authors show the ways in which AI can enhance such activities and assume tasks that have been typically performed by humans.
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