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  • 1.
    Berglund, Elisabeth
    et al.
    Jönköping University, School of Engineering.
    Birgersson, Jörgen
    Jönköping University, School of Engineering.
    Cederfeldt, Mikael
    Jönköping University, School of Engineering, JTH, Mechanical Engineering.
    Ten+ Years of Successful Workplace Learning through Host Company Collaboration2008Conference paper (Other academic)
    Abstract [en]

    For a period of more than ten years a very successful Host Company Program has been running at the School of Engineering at Jönköping University (JTH), Sweden. This program enables close collaboration between the university and its staff and the 500 regional host companies (HCs) who support the quality assurance of the engineering education given at the School of Engineering.

    With the introduction of the principles of CDIO at JTH, the host company program and the engineering methodology course was seen as a pre-existing building block of CDIO. This paper will explain in more detail how the HCP is orchestrated at JTH as well as how it is perceived by university staff, the engineering students, and the HCs. Also, how the HCP fits the principles of CDIO will be discussed further together with what is needed to be refined within the HCP.

  • 2.
    Cederfeldt, Mikael
    Jönköping University, School of Engineering, JTH, Mechanical Engineering. Jönköping University, School of Engineering, JTH. Research area Computer Supported Engineering Design.
    Planning Design Automation: A Structured Method and Supporting Tools2007Doctoral thesis, monograph (Other academic)
    Abstract [en]

    The demand for customised products that meet different markets and different customers is steadily increasing. Also, the demand for shorter lead times for the delivery of these customised products puts strains on design departments whose work tends to become increasingly repetitive. At the same time, designing variants takes time from innovative, original design, and/or problem-solving tasks. A powerful tool in the endeavour to cut lead times, workloads, and ultimately costs in order to become more competitive in an increasingly globalised market is Design Automation. Automating tedious and repetitive design tasks will free the designers to focus on the tasks that require skill, creativity, intuition, and cooperation to be solved. Consequently, seeing a need for design automation systems is not difficult. What becomes a lot more difficult is identifying the type, scope, and format of the system implementation, as well as the actual design tasks and activities to support or automate. Therefore, there is a need for structured and systematic approaches for the realisation and implementation of design automation systems. This research work is aimed at presenting such approaches, methods, and aids. It also addresses the importance of identifying the exact tasks to be automated. This has to be done in order to find the method and implementations best suited for solving the tasks, something that is especially important for companies whose human and financial resources might not allow them to invest in a system with functionality that vastly exceeds their actual needs.

    The contribution of this work is a structured method for planning for design automation implementation. First, the design process is discussed from an automation perspective. Following this is a presentation of a framework of design automation. This framework has the purpose of serving as a common base for consensual discussions about design automation. In addition, it supports the setting-up of system specifications. The framework is followed by the introduction of a set of identifiers of system needs and potentials, focusing on the existing processes that need to be broken down and identified in order to specify the tasks to be automated. Following this is a set of criteria of system characteristics, focusing on properties of the intended system implementation. Finally, some realisation and implementation issues are addressed and exemplified through a number of pilot system implementations.

    The presented method for planning design automation, together with the presented framework of design automation, provides implementers with issues to address regarding potential, need, scope, and format of system implementations. Further, it supports the weighing of desired system characteristics in order to find the right balance between system complexity and functionality.

  • 3.
    Cederfeldt, Mikael
    Jönköping University, School of Engineering, JTH, Mechanical Engineering. Jönköping University, School of Engineering, JTH. Research area Computer Supported Engineering Design.
    Planning Design Automation Systems: Criteria and Guidelines2005Licentiate thesis, monograph (Other academic)
    Abstract [en]

    Design automation can be a powerful tool in the continuous endeavour to cut lead times, workloads, and, ultimately, costs in order to become more competitive in an increasingly globalised market. Identifying a need for design automation is, consequently, not difficult. What becomes a lot more difficult is identifying the actual need, i.e. the type, scope, and format of the system implementation, as well as the actual design tasks and activities to be automated.

    There is currently a need for structured and systematic approaches for the realisation and implementation of design automation systems. This research work is aimed at identifying such approaches, methods, and aids. It also addresses the importance of identifying the exact tasks that are to be automated. This has to be done in order to find the tools and implementations that are best suited for solving the tasks, something that is especially important for companies whose resources and economy might not allow them to invest in a system with functionality that vastly exceeds their actual needs.

    In this work, the design process is discussed from an automation perspective. Following this is a presentation of a framework of design automation. This framework has the purpose of serving as a common base for discussions about design automation as well as support in the setting up of initial system specifications. This is followed by the introduction of a set of criteria of design system characteristics, to be used for planning for design automation. These criteria, and descriptions of their use for system implementation and evaluation, constitute the main results of this work. The contribution of the set of criteria is a systematic approach to identifying design automation needs and setting up final system specifications. It provides implementers with general questions to answer about potential, need, scope, and format of system implementations. Further, it leads to weighing desired system characteristics in order to find the right balance between system complexity and functionality. Finally, some realisation and implementation issues are addressed. The set of criteria is complemented by guidelines for system implementation supporting some of the criteria.

    A design automation system based on the presented criteria and design automation framework is also presented. This system is evaluated by its users who give their views of systems performance related to the criteria’s level of fulfilment.

    The main conclusion of this work is that the set of criteria is a powerful tool for planning and evaluating design automation systems. Together with the presented framework, they also provide a structured and systematic approach to identifying the actual needs of design automation and setting up system specifications.

  • 4.
    Cederfeldt, Mikael
    Jönköping University, School of Engineering, JTH, Mechanical Engineering. Jönköping University, School of Engineering, JTH. Research area Computer Supported Engineering Design.
    Towards a Strategy for Mapping of Design Problems to Suitable Solutions: A Case of Design Automation Using CBR2006In: Proceedings of the DESIGN 2006: 9th International Design Conference, 2006, p. 471-478Conference paper (Refereed)
    Abstract [en]

    In order to make the designing of product variants more effective and efficient by automating the process, there is a need to break down and analyse the design process. In doing so, a clearer picture of the actual process will emerge. From this, a problem definition and a system specification can be outlined. This paper presents one such case of breaking down a design problem, defining its process character and capturing its inherent domain knowledge. This is then mapped to suitable tools and computer implementations. One of the tools chosen in this work, Case Based Reasoning, is further addressed, together with some implementation issues concerning CBR. Finally, advantages of a variant design approach to setting up CBR indexing templates are presented.

  • 5.
    Cederfeldt, Mikael
    Jönköping University, School of Engineering, JTH, Mechanical Engineering. Jönköping University, School of Engineering, JTH. Research area Computer Supported Engineering Design.
    Towards a Strategy for Mapping of Design Problems to Suitable Solutions: A Case of Design Automation using CBR2007In: Strojarstvo, ISSN 0562-1887, Vol. 49, no 1, p. 17-24Article in journal (Refereed)
    Abstract [en]

    In order to make the designing of product variants more efficient and effective there often exists the possibility of automating the process, or at least implementing some form of computer support to aid the designers. Designing though, is often not a simple and single task. Instead, it often consists of several interlinked sub-tasks that have to be performed either in some previously known order, iteratively, or perhaps even by inference. Furthermore, the levels of knowledge and task formalisation and process maturity may vary from known and clearly documented tasks (explicit), to known but undocumented tasks (implicit), or even unclear and unstructured tasks (ad-hoc).

    In doing so a clearer picture of the actual design process will emerge and a problem definition and/or system specification can be outlined [Cederfeldt 2005]. This will in turn give rise to new questions that needs to be answered in parallel with setting up of a final system specification. Some of these questions address the choice of solution approach related to the design process and its inherent knowledge. This paper presents one such attempt at breaking down a design problem, defining its process character and capturing its inherent domain knowledge. This is then mapped to suitable tools, and computer implementations. One of the tools chosen in this work, Cased Based Reasoning (CBR), will be addressed further and some implementation issues of CBR as well as the advantages of a variant design approach to setting up of CBR indexing templates are discussed in more detail.

  • 6.
    Cederfeldt, Mikael
    et al.
    Jönköping University, School of Engineering, JTH, Mechanical Engineering. Jönköping University, School of Engineering, JTH. Research area Computer Supported Engineering Design.
    Elgh, Fredrik
    Jönköping University, School of Engineering, JTH, Mechanical Engineering. Jönköping University, School of Engineering, JTH. Research area Computer Supported Engineering Design.
    Design Automation Systems in SMEs: Current State, Potential, Need and Requirements2005In: Engineering Design and the Global Economy: Proceedings of the 15th International Conference on Engineering Design, August 15-18, 2005, Melbourne, Australia., 2005Conference paper (Refereed)
    Abstract [en]

    To ensure and improve the competitiveness of SMEs acting in an environment of distributed engineering and globalisation, four important factors are low cost, short lead-time, improved product performance, and the possibility to adapt products to different costumer specifications. One way of gaining these competitive advantages is to adopt an approach where products are based on prepared design. If some of the work related to these products and design tasks are automated, the design process can become more effective and efficient. This allows for shortened lead-time of product designs, cost estimates (Elgh and Sunnersjö, 2003), more optimised product designs, and customer tailoring, while giving the designers more time for creative problem solving. Companies have to consider the advantages of design automation, its realisation and implementation, as well as its applicability. Other issues of importance are: scope of implementation, how far to push the automation level, procedure for development, identification of information needed, definition of information models (Elgh, 2004), strategy and procedure for handling and storing design process information (Cederfeldt, 2004), selection of suitable application software (Amen et al, 1999), initial cost, maintenance cost, and the use of internal and external expertise. To support companies in choosing appropriate type and level of design automation, there is a need to address the important questions about potential, wishes, requirements, constraints and actual need of design automation. This paper addresses these questions from a SME standpoint. Other issues addressed are the current state of design automation in industry and the companies’ views regarding some important aspects and criteria of design automation characteristics, realisation and implementation.

  • 7.
    Cederfeldt, Mikael
    et al.
    Jönköping University, School of Engineering, JTH, Mechanical Engineering. Jönköping University, School of Engineering, JTH. Research area Computer Supported Engineering Design.
    Sunnersjö, Staffan
    Jönköping University, School of Engineering, JTH, Mechanical Engineering. Jönköping University, School of Engineering, JTH. Research area Computer Supported Engineering Design.
    Solid Modelling with Dimensional and Topological Variability2003In: Research for Practice - Innovations in Products, Processes and Organisations: Proceedings of the 14th International Conference on Engineering Design, August 19 - 21, 2003, Stockholm, Sweden., Glasgow: The Design Society , 2003Conference paper (Refereed)
    Abstract [en]

    With the advent of commercial solid modelling systems some fifteen years ago, the opportunity for three-dimensional parametric geometry was opened to industry. Today solid modelling systems are the dominating CAD tool among advanced engineering companies, but despite the time and money saving implications, industry has been slow to exploit the parametric capabilities of these systems (Amen and Sunnersjö, 1996).

    One reason for the slow adoption of parametric modelling is that originally many solid modellers suffered from lack of stability under parametric changes. This situation is now changed and if a model in a modern CAD system collapses, this is usually due to modelling deficiencies rather than numerical failures. Straightforward dimensional variations rarely cause any problems. However, to fully exploit the parametric capability for complex features with a variable topology, there is a need for a systematic approach to build stable and purposeful parametric models.

    The purpose of this work is to discuss how different modelling approaches relate to the ease of use and robustness of the CAD model in terms of creating variants and product families. We use the term Design for Variability, DFV, for a modelling approach that ensures that parametric models are well suited for variation design.

  • 8.
    Elgh, Fredrik
    et al.
    Jönköping University, School of Engineering, JTH, Mechanical Engineering. Jönköping University, School of Engineering, JTH. Research area Computer Supported Engineering Design.
    Cederfeldt, Mikael
    Jönköping University, School of Engineering, JTH, Mechanical Engineering. Jönköping University, School of Engineering, JTH. Research area Computer Supported Engineering Design.
    A Design Automation System Supporting Design for Cost: Underlying Method, System Applicability and User Experiences2005In: Next generation concurrent engineering - Smart and Concurrent Intergration of Product Data, Sevices, and Control Strategies: Proceedings of the 12th ISPE International Conference on Concurrent Engineering: Research and Applications, 25 - 29 July, 2005, Ft. Worth/Dallas, Texas, USA., New York: International Society for Productivity Enhancement , 2005, p. 619-627Conference paper (Refereed)
    Abstract [en]

    The fact that application software are getting more and more adaptable extends the possibility of in-house developed design systems supporting design for cost. This calls for systematic methods for system development that ensure system functionality, quality and longevity.

    In this work, a method supporting the development of automated systems for product design, process planning and cost estimation is introduced. The method has been the foundation on which an automated system for variant design has been developed. The system applicability as a means of gaining cost effective design is presented through studies of: multi-objective optimisation, what-if scenarios and sensitivity analyses. The work is completed by an evaluation of the three types of studies. This is followed by an evaluation of the variant design system and its underlying method (that supports in-house development of automated systems), with respect to a number of presented underlying general criteria supporting realisation of systems meeting companies’ needs.

  • 9.
    Elgh, Fredrik
    et al.
    Jönköping University, School of Engineering, JTH, Mechanical Engineering. Jönköping University, School of Engineering, JTH. Research area Computer Supported Engineering Design.
    Cederfeldt, Mikael
    Jönköping University, School of Engineering, JTH, Mechanical Engineering. Jönköping University, School of Engineering, JTH. Research area Computer Supported Engineering Design.
    Concurrent Cost Estimation as a Tool for Enhanced Producibility: System Development and Applicability for Producibility Studies2007In: International Journal of Production Economics, ISSN 0925-5273, E-ISSN 1873-7579, Vol. 109, no 1-2, p. 12-26Article in journal (Refereed)
    Abstract [en]

    The paper aims at presenting the thoughts behind concurrent cost estimation as a tool for engineering companies to obtain enhanced producibility for their products by the possibility of performing producibility studies. The two main parts of the paper are: the presentation of a method for system development, focusing on a number of general criteria of system development; and how such a system can act as a support in the product development process by providing the possibility of performing different types of producibility studies.

  • 10.
    Elgh, Fredrik
    et al.
    Jönköping University, School of Engineering, JTH, Mechanical Engineering. Jönköping University, School of Engineering, JTH. Research area Computer Supported Engineering Design.
    Cederfeldt, Mikael
    Jönköping University, School of Engineering, JTH, Mechanical Engineering. Jönköping University, School of Engineering, JTH. Research area Computer Supported Engineering Design.
    Cost-based Producibility Assessment: Analysis and Synthesis Approaches through Design Automation2008In: Journal of engineering design (Print), ISSN 0954-4828, E-ISSN 1466-1837, Vol. 19, no 2, p. 113-130Article in journal (Refereed)
    Abstract [en]

    The demand on high levels of reliability and accuracy of cost estimation increases in a competitive environment and as the products are getting more optimised. When different courses of action are to be evaluated, changes in customer requirements, design features and parameters, and production properties have to be handled with caution. Even small changes can imply: low level of conformability with the production system, highly increased cost, and extended manufacturing lead-time. It is of paramount importance for the product success and the company’s profit that a system for automated producibility assessment is sensitive and can reflect these effects. Two central tasks in the development of such a system are the definition of a cost model and the modelling of producibility rules. Each organisation is very different and therefore has to define their individual cost model and set of producibility rules. This work presents an approach that provides a framework for the development of company specific automated producibility estimation systems. Further, the concepts of analysis driven and synthesis driven producibility estimations are described and some examples of their use are given.

  • 11.
    Elgh, Fredrik
    et al.
    Jönköping University, School of Engineering, JTH, Mechanical Engineering. Jönköping University, School of Engineering, JTH. Research area Computer Supported Engineering Design.
    Cederfeldt, Mikael
    Jönköping University, School of Engineering, JTH, Mechanical Engineering. Jönköping University, School of Engineering, JTH. Research area Computer Supported Engineering Design.
    Documentation and Management of Product Knowledge in Systems for Automated Variant Design: A Case Study2010In: New World Situation - New Directions in Concurrent Engineering: Proceedings of the 17th ISPE International Conference on Concurrent Engineering, 6 - 10 September, 2010, Cracow, Poland, 2010, 2010, p. 213-220Conference paper (Refereed)
    Abstract [en]

    A business strategy based on customized products with a high level of variety requires systems for efficient generation of product variants. The development of a system for automated variant design is a significant investment in time and money. To maintain the system’s usefulness over time, frequent updating of design rules and execution control will normally become a necessity. Significant efforts are required for maintenance and adapting an established system to changes in product technology, new product knowledge, production practices, new customers and so forth. Another important aspect that has been identified, is the reuse of the system encapsulated generic product family descriptions, for example design rules, when developing a new product family. In this paper a case study is presented with the objectives to provide an understanding and an insight into a real industrial case. A focus is put on the documentation and management of product related knowledge for the purpose of revealing problems related to the current state of practice at the company to identify areas for improvements. The results are based on the experiences from a case study at a company with long experience of systems for automated variant design.

  • 12.
    Elgh, Fredrik
    et al.
    Jönköping University, School of Engineering, JTH, Mechanical Engineering. Jönköping University, School of Engineering, JTH. Research area Computer Supported Engineering Design.
    Cederfeldt, Mikael
    Jönköping University, School of Engineering, JTH, Mechanical Engineering. Jönköping University, School of Engineering, JTH. Research area Computer Supported Engineering Design.
    Producibility Awareness as a Base for Design Automation Development: Analysis and Synthesis Approach to Cost Estimation2006In: Leading the Web in Concurrent Engineering - Next Generation Concurrent Engineering: Proceedings of the 13th ISPE International Conference on Concurrent Engineering: Research and Applications, 18 - 22 September, 2006, Antibes, France, 2006, p. 715-728Conference paper (Refereed)
    Abstract [en]

    The demand on the level of reliability and accuracy of cost estimation increases in a competitive environment and as the products are getting more and more optimised. When different courses of action are to be evaluated small changes in customer requirements, design features and parameters, and production properties has to be handled with caution. Small changes can imply: low level of conformability with the production system, highly increased cost, and extended manufacturing lead-time. It is of paramount importance for the product success and the company’s profit that a system for automated cost estimation is sensitive and can reflect these effects. Design automation system incorporating producibility and cost estimations support either analysis driven or synthesis driven producibility estimation, or both. The later is an approach that allows for decreased recourse and time demand as the system only generates design proposals which the company can produce with its manufacturing resources. This work presents some of the views on which a design automation incorporating producibility and cost estimations should by developed. It also presents the concepts of analysis driven and synthesis driven producibility estimation and gives some examples of there use.

  • 13.
    Johansson, Glenn
    et al.
    Jönköping University, School of Engineering, JTH. Research area Industrial Production.
    Cederfeldt, Mikael
    Jönköping University, School of Engineering, JTH. Research area Product Development - Computer supported engineering design.
    The role of decentralized purchasing to ensure supplier involvement in geographically dispersed new product projects2011In: Proceedings of The 4th International Swedish Production Symposium, SPS11 / [ed] Jan-Eric Ståhl, The Swedish Production Academy , 2011, p. 322-328Conference paper (Refereed)
  • 14.
    Johansson, Joel
    et al.
    Jönköping University, School of Engineering, JTH, Mechanical Engineering. Jönköping University, School of Engineering, JTH. Research area Product Development - Computer supported engineering design.
    Cederfeldt, Mikael
    Jönköping University, School of Engineering, JTH, Mechanical Engineering. Jönköping University, School of Engineering, JTH. Research area Product Development - Computer supported engineering design.
    Interactive Case Based Reasoning through Visual Representation: Supporting the Reuse of Components in variant-rich products2012In: Proceedings of DESIGN 2012, the 12th International Design Conference, Dubrovnik, Croatia / [ed] D. Marjanovic, M. Storga, N. Pavkovic & N. Bojcetic, The Design Society, 2012, p. 1477-1485Conference paper (Refereed)
  • 15.
    Lundin, Rolf
    et al.
    Jönköping University, School of Engineering, JTH, Industrial Engineering and Management.
    Cederfeldt, Mikael
    Jönköping University, School of Engineering, JTH, Mechanical Engineering. Jönköping University, School of Engineering, JTH. Research area Computer Supported Engineering Design.
    Product development-Production interface in a geographically dispersed setting2008In: The 17th International Conference on Management of Technology, IAMOT 2008, Dubai. UAE, 2008Conference paper (Refereed)
    Abstract [en]

    It has become more and more common for companies to move part of their production to low cost countries and/or closer to important markets. However, quite often the product development is not moved. The result is an increased distance between product development and production. The interface between the two departments is important to lead time, cost and quality and therefore the cooperation must work smoothly. To achieve this, most literature recommends early and tight cooperation. However this can be complicated by expensive and time consuming travels and/or usage of less rich communication such as emails and phone calls.

    It is difficult to make the transition in general from product development to production and the possible problems increase with the distance. The PD-P interface consists of several components and how a problem in one component is affected by problems in other components is not explicitly discussed in literature. The purpose in this paper is to explore if there are such connections i.e. connections between an observable problem and other components in the PD-P interface in a geographically dispersed setting. The paper does so by merging the distributed work literature and the PD-P interface literature.

    The analysis is based on four PD-P interface components; technological, organizational, scope and task. The analysis indicates that observable problems as e.g. low frequency of communication can be the symptom of one or a combination of problems. Connections between the components in the PD-P interface are exemplified in a geographically dispersed setting. Furthermore the underlying causes to the problems connected to the geographically dispersed setting in the PD-P interface are elucidated. In the case of low frequency of communication, it could be the technical system hindering communication and the different time zones disrupt it even more. Hence one symptom could be caused by different underlying problems. Each problem needs to be broken down to find the cause and the solution could be found in any of the four interface components.

    The results indicate that the actual distance is not the biggest problem but uncertainties (e.g. new collaborations) and differences (culture and work methods) which increase lead time. We have also seen that single underling problems can cause problem in several of the PD-P interface components. This indicates that if these underlying problems can be solved the project results can be vastly improved. For example, trust issues occur in the scope component (affects the willingness to share information) and in the organizational interface component (both competence trust and goodwill trust affects involvement and commitment to the project). Consequently, if problems like this can be solved many other problems will become minor problems and project objectives will be more likely to be obtained. However trust is difficult to achieve with a geographical distance between product development and production. The analysis also indicates that due to the distance more attention is paid to the PD-P interface, e.g. more experienced team members are appointed. This can be contributing to a smoother PD-P interface than expected.

  • 16.
    Sunnersjö, Staffan
    et al.
    Jönköping University, School of Engineering, JTH, Mechanical Engineering. Jönköping University, School of Engineering, JTH. Research area Computer Supported Engineering Design.
    Cederfeldt, Mikael
    Jönköping University, School of Engineering, JTH, Mechanical Engineering. Jönköping University, School of Engineering, JTH. Research area Computer Supported Engineering Design.
    Elgh, Fredrik
    Jönköping University, School of Engineering, JTH, Mechanical Engineering. Jönköping University, School of Engineering, JTH. Research area Computer Supported Engineering Design.
    Rask, Ingvar
    A Transparent Design System for Iterative Product Development2006In: Journal of Computing and Information Science in Engineering, ISSN 1530-9827, E-ISSN 1944-7078, Vol. 6, no 3, p. 300-307Article in journal (Refereed)
    Abstract [en]

    Automated systems for variant design can be used for design iterations in order to guide the designer towards solutions that are optimized with respect to weight, cost, lead time, or other vital properties. In this work such a system for computational design problems is presented together with examples of its application. The system performs design computations, computed aided design model configuration, production process planning, and cost estimation. The design rules and algorithms are captured in knowledge "chunks," which are human readable as well as computer executable. The workflow governing the execution of these rules and algorithms is created using a dependency structure matrix (DSM) which is included in the system. Particular attention has been given to the need for transparency, modularity, and longevity of the system, which is a prerequisite for such a system to become a viable tool in industrial applications. Experiences from the proposed system indicate that the DSM workflow manager in combination with a human readable and modularized knowledge base provides clarity and transparency for both developer and user of the system.

  • 17.
    Wlazlak, Paraskeva
    et al.
    Jönköping University, School of Engineering, JTH. Research area Industrial Production.
    Johansson, Glenn
    Jönköping University, School of Engineering, JTH. Research area Industrial Production.
    Cederfeldt, Mikael
    Jönköping University, School of Engineering, JTH. Research area Product Development - Computer supported engineering design.
    A study of the R&D-Manufacturing interface in distributed settings: Experiences from a Chinese manufacturing site.2012Conference paper (Other academic)
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