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The purpose of this paper is to present a methodology that integrates design and assembly planning in an augmented reality (AR) environment. Intuitive bare-hand interactions (BHIs) and a combination of virtual and real objects are used to perform design and assembly tasks. Ergonomics and other assembly factors are analysed during assembly evaluation.

An AR design and assembly (ARDnA) system has been developed to implement the proposed methodology. For design generation, 3D models are created and combined together like building blocks, taking into account the product assembly in the early design stage. Detailed design can be performed on the components and manual assembly process is simulated to evaluate the assembly design.

A case study of the design and assembly of a toy car is conducted to demonstrate the application of the methodology and system.

The system allows the users to consider the assembly of a product when generating the design of the components. BHI allows the users to create and interact with the virtual modes with their hands. Assembly evaluation is more realistic and takes into consideration the ergonomics issues during assembly.

The system synthesizes AR, BHI and a CAD software to provide an integrated approach for design and assembly planning, intuitive and realistic interaction with virtual models and holistic assembly evaluation.

This paper aims to propose and implement an integrated augmented-reality (AR)-aided assembly environment to incorporate the interaction between real and virtual components, so that users can obtain a more immersive experience of the assembly simulation in real time and achieve better assembly design.

A component contact handling strategy is proposed to model all the possible movements of virtual components when they interact with real components. A novel assembly information management approach is proposed to access and modify the information instances dynamically corresponding to user manipulation. To support the interaction between real and virtual components, a hybrid marker-less tracking method is implemented.

A prototype system has been developed, and a case study of an automobile alternator assembly is presented. A set of tests is implemented to validate the feasibility, efficiency, accuracy and intuitiveness of the system.

The prototype system allows the users to manipulate and assemble the designed virtual components to the real components, so that the users can check for possible design errors and modify the original design in the context of their final use and in the real-world scale.

This paper proposes an integrated AR simulation and planning platform based on hybrid-tracking and ontology-based assembly information management. Component contact handling strategy based on collision detection and assembly feature surfaces mating reasoning is proposed to solve component degree of freedom.

The purpose of this paper is to present and develop an ontology-based approach for automatic generation of assembly sequences.

In this approach, an assembly sequence planning ontology is constructed to represent the structure and interrelationship of product geometry information and assembly process information. In the constructed ontology, certain reasoning rules are defined to describe the knowledge and experience. Based on the ontology with reasoning rules, the algorithm for automatically generating assembly sequences is designed and implemented.

The effectiveness of this approach is verified via applying it to generate the assembly sequences of a gear reducer.

The main contribution of the paper is presenting and developing an ontology-based approach for automatically generating assembly sequences. This approach can provide a feasible solution for the issue that mathematics-based assembly sequence generation approaches have great difficulty in explicitly representing assembly experience and knowledge.

Assembly is a necessary and important part of any manufacturing process. Computer aided production engineering allows production engineers to create an on‐screen virtual manufacturing environment which graphically displays and simulates actual manufacturing processes. This is an attempt to analyse the assembly process for a computer mouse, using both the Boothroyd and Dewhurst design for assembly (DFA) and Tecnomatix’s Dynamo software package. A mouse designed in Unigraphics has been the product considered and the assembly process has been analysed. Some of the steps involved in the analysis are explained in detail and the observations and results are discussed along with redesign suggestions. These software systems can help identify some of the technical problems that can possibly be encountered in real life production and can effectively be used to guide the design process. Product assembly, analysis and visualization, which are the prime features of the software in use, enable us to improve the design and enhance the features of products at the conception and design stage itself. This can be a critical factor for maintaining a competitive edge in the fast growing industry today.

The implied assembly constraints of a computer-aided design (CAD) model (e.g. hierarchical constraints, geometric constraints and topological constraints) represent an important basis for product assembly sequence intelligent planning. Assembly prior knowledge contains factual assembly knowledge and experience assembly knowledge, which are important factors for assembly sequence intelligent planning. This paper aims to improve monotonous assembly sequence planning for a rigid product, intelligent planning of product assembly sequences based on spatio-temporal semantic knowledge is proposed.

A spatio-temporal semantic assembly information model is established. The internal data of the CAD model are accessed to extract spatio-temporal semantic assembly information. The knowledge system for assembly sequence intelligent planning is built using an ontology model. The assembly sequence for the sub-assembly and assembly is generated via attribute retrieval and rule reasoning of spatio-temporal semantic knowledge. The optimal assembly sequence is achieved via a fuzzy comprehensive evaluation.

The proposed spatio-temporal semantic information model and knowledge system can simultaneously express CAD model knowledge and prior knowledge for intelligent planning of product assembly sequences. Attribute retrieval and rule reasoning of spatio-temporal semantic knowledge can be used to generate product assembly sequences.

The assembly sequence intelligent planning example of linear motor highlights the validity of intelligent planning of product assembly sequences based on spatio-temporal semantic knowledge.

The spatio-temporal semantic information model and knowledge system are built to simultaneously express CAD model knowledge and assembly prior knowledge. The generation algorithm via attribute retrieval and rule reasoning of spatio-temporal semantic knowledge is given for intelligent planning of product assembly sequences in this paper. The proposed method is efficient because of the small search space.

The purpose of this paper is to study the design process innovations that enabled the successful delivery of a hybrid, mass-timber high-rise building in Canada, the Brock Commons Tallwood House at the University of British Columbia. It is one of a set of papers examining the project, including companion papers that describe innovations used during the mass timber construction process and the impact of these innovations on construction performance.

A mixed-method, longitudinal case study approach was used in this research project to investigate and document the Tallwood House project over a three-year period. Both quantitative and qualitative data collection and analysis techniques were used. Graduate student researchers were embedded within the project team to observe meetings and decision-making and to conduct periodic interviews.

The research highlights a case of a balanced triple-helix system that provided a context for the successful “clustering” of product and process innovation, which were developed and implemented to flow throughout the project’s lifecycle and across its supply chain to provide benefits at each stage. Four significant process-based innovations were implemented at the design phase of the building project to support radical product innovation: an integrated design process, virtual design and construction, designing for manufacturing and assembling and a rigorous quality control and quality assurance process. The product innovations developed through these process innovations were the structural system and the prefabricated envelope system. The context of innovation was seen to allow this “clustering,” which is believed to be a key condition of success and enabled the efficient and successful delivery of the project. Generally, the approach was successful; however, some factors including the number of stakeholders and good-faith collaboration may limit the replicability of these strategies.

This paper presents an in-depth investigation into the instantiation of an innovation system, identified as a balanced triple-helix system, which enabled and facilitated the design and decision-making process for a radical product innovation. Moreover, this paper describes the deployment of a “cluster” of process innovations that flowed throughout the project’s lifecycle and across the project supply chain. This was seen as a key factor in ensuring the successful delivery of the project.

Time‐to‐market is giving a competitive edge to many companies today. Some of the tools and methods to assist in this process were discussed at two recent conferences. Jack Hollingum reports.

UK User's Sites Sought for FAMOS Products: In continuing its long‐standing support for the FAMOS initiative, the Department of Trade and Industry's Manufacturing Technology Division is actively supporting the formulation of an ambitious project in which UK industry is invited to volunteer existing or new product families to evaluate the automated assembly methods and equipment developed in the four UK FAMOS projects.

Systemic innovations emerge and create value in an inter-organisational context. However, innovation studies rarely investigate the role of value creation and value capture among multiple organisations in successful innovation implementation. This paper aims to understand the role of value creation and value capture in the implementation of systemic innovations in construction which is by nature, an inter-organisational context.

The empirical research focused on the barriers, enablers and opportunities for value creation and value capture of the Finnish construction project parties when trying to implement mechanical, electrical and plumbing (MEP) prefabrication, which is a systemic innovation. Data were collected through interviews, observations and action workshops.

The empirical study identified interaction patterns on how social, political, technical and economic barriers lead to uneven value capturing, lack of value-based procurement and unclear value creation between MEP design and installation. They hinder the implementation of MEP prefabrication. The results point to enablers leading to fairly shared value to all parties, procurement of value and collaborative value creation, thus increasing the usage of MEP prefabrication, a systemic innovation.

The study adds new knowledge by demonstrating that the identification of barriers and their interaction with enablers and opportunities for value creation and capture lay a baseline for suggestions on how to implement a systemic innovation. This study stresses the importance of enabling value creation and capture for all construction project parties when implementing a systemic innovation.

The purpose of this paper is to conceptualize archetypes of engineer-to-order (ETO) to support companies in determining the appropriate degree of design standardization and automation, and as a result achieve superior performance. Products of ETO manufacturers are classified in a 2×2 matrix using annual units sold and engineering complexity as dimensions.

This research adopted a theory refining approach based on multiple case studies. Seven ETO manufacturers from different industry sectors participated in the study. Data collection was primarily based on a series of in-depth interviews supported by observations and archival sources.

The paper proposes four distinct archetypes of ETO (complex, basic, repeatable, and non-competitive) and empirically validates three of them. The organizational structures and processes most suitable for the different archetypes are described, and standardization and automation strategies are linked to the quadrants of the matrix. The matrix can support practitioners in making strategic choices and provides a framework for benchmarking their ETO products and processes.

Existing conceptualizations of ETO consider the company as the primary object of investigation, rather than the product or product family. However, companies often have different product families demanding different strategies. Also, there is little or no focus on the engineering perspective. The authors move the engineering perspective to the center of investigation and identify a set of standardization and automation strategies for different types of ETO products.