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  • 1.
    Ericsson, Evelina
    KTH, School of Electrical Engineering (EES), Industrial Information and Control Systems.
    Is there a need for a new process model in product development when implementing DFSS?2013In: 2013 Proceedings of PICMET 2013: Technology Management in the IT-Driven Services, 2013, p. 1618-1624Conference paper (Refereed)
    Abstract [en]

    Design for Six Sigma (DFSS) is a management concept fostering continuous improvement and structuring of organizations' product development processes and their included activities. Traditionally this concept is described based on the three perspectives of processes, roles and product development methods. However, most companies working with product development are not new in the product development field. They have a tradition of developing products and thus, already an existing product development process. Therefore, the question arises whether there is a need for another concept introducing a process structure for the product development field. It is also questionable if the provided process structures in DFSS contribute with something new. This article presents an analysis of seven companies, longtime DFSS adopters as well as non-DFSS organizations, from the perspective of how well their product development process resembles the ones advocated in DFSS with the purpose to find out if there is a need for a development process structure in DFSS or if that is common sense and a pre-requisite that already exists in mature developing organizations.

  • 2.
    Ericsson, Evelina
    et al.
    KTH, School of Electrical Engineering (EES), Industrial Information and Control Systems.
    Andersson, Roy
    Högskolan i Borås.
    Interview Survey of DFSS Adoption in Large Enterprises2010Conference paper (Refereed)
  • 3.
    Ericsson, Evelina
    et al.
    KTH, School of Electrical Engineering (EES), Industrial Information and Control Systems.
    Buschle, Markus
    KTH, School of Electrical Engineering (EES), Industrial Information and Control Systems.
    Lillieskold, Joakim
    KTH, School of Electrical Engineering (EES), Industrial Information and Control Systems.
    Ekstedt, Mathias
    KTH, School of Electrical Engineering (EES), Industrial Information and Control Systems.
    Developing a Design for Six Sigma Framework For the Analysis of Product Development Processes2015In: 2015 PORTLAND INTERNATIONAL CONFERENCE ON MANAGEMENT OF ENGINEERING AND TECHNOLOGY (PICMET'15), IEEE Communications Society, 2015, p. 1549-1561Conference paper (Refereed)
    Abstract [en]

    During the last decades the importance of product development (PD) has become apparent for organizations. A majority of companies' total business results are dependent on the outcome of PD activities, results that crucially depends on new product's success and sales revenue. PD must be evaluated continuously, even without a physical final product accessible to measure. Therefore, in product development there is a need to evaluate the PD organization and project activities. This article presents a product development framework for analysis of organizations' product development performance according to Design for Six Sigma and evaluation of DFSS adopted companies' level of implementation.

  • 4.
    Ericsson, Evelina
    et al.
    KTH, School of Electrical Engineering (EES), Industrial Information and Control Systems.
    Gingnell, Liv
    KTH, School of Electrical Engineering (EES), Industrial Information and Control Systems.
    Lilliesköld, Joakim
    KTH, School of Electrical Engineering (EES), Industrial Information and Control Systems.
    Implementing Design for Six Sigma in large Swedish product developing organisations – an interview study2014In: Total Quality Management and Business Excellence, ISSN 1478-3363, E-ISSN 1478-3371, Vol. 26, no 5/6, p. 648-660Article in journal (Refereed)
    Abstract [en]

    As a result of the organisational evolvement towards increased structure in product development (PD), supporting concepts like Design for Six Sigma (DFSS) have arisen. DFSS provides structuring guidelines as well as suggestions regarding tool and technique implementations for PD. Companies’ need for support and structure from such a concept does, however, not always correspond to the real content of the concept. This article examines the DFSS implementation strategy in four organisations to determine which parts of the DFSS concept are being used by companies. Results show that several of the most difficult activities in PD lack concrete support in DFSS. On the other hand, many of the clearly described actions of the concept are already well-operating methods in today's product developing organisations.

  • 5.
    Ericsson, Evelina
    et al.
    KTH, School of Electrical Engineering (EES), Industrial Information and Control Systems.
    Gingnell, Liv
    KTH, School of Electrical Engineering (EES), Industrial Information and Control Systems.
    Lilliesköld, Joakim
    KTH, School of Electrical Engineering (EES), Industrial Information and Control Systems.
    Successful risk management approaches in product development organizations: A case study experience2014In: 2014 Proceedings of PICMET '14: Infrastructure and Service Integration, IEEE , 2014, p. 2243-2253Conference paper (Refereed)
    Abstract [en]

    This article discusses experiences from case studies conducted at product developing departments in four multinational companies. All organizations are outstanding product developing companies with a long and successful historical background within product development. Therefore it is interesting to understand how these companies deal with risks in their product development processes. The aim of the paper is to find out if the Design for Six Sigma (DFSS) concept supports the need of industrial companies to deal with risks in their product development projects. The results show that DFSS promotes the company needs to some extent. There is a great method support in DFSS regarding how to consider technical risks. On the other hand, all companies included in this study would need more support to highlight the holistic perspective concerning cross functional collaborations, increased communication and avoiding sub-optimizations in development project, a requirement that is not sufficiently supported.

  • 6.
    Ericsson, Evelina
    et al.
    KTH, School of Electrical Engineering (EES), Industrial Information and Control Systems.
    Gustafsson, Pia
    KTH, School of Electrical Engineering (EES), Industrial Information and Control Systems.
    Höök, David
    KTH, School of Electrical Engineering (EES), Industrial Information and Control Systems.
    von Würtemberg, Marcks Liv
    KTH, School of Electrical Engineering (EES), Industrial Information and Control Systems.
    Flores, Rocha Waldo
    KTH, School of Electrical Engineering (EES), Industrial Information and Control Systems.
    Process Improvement Framework Evaluation2010In: 2010 International Conference on Management Science and Engineering, ICMSE 2010, NEW YORK: IEEE , 2010, p. 319-326Conference paper (Other academic)
    Abstract [en]

    This paper analyzes and evaluates frameworks used in the IT and business domain. The purpose has been to discuss the characteristics, weaknesses and strengths of the frameworks to illuminate how companies can benefit from using them in synergy. Specific strengths within a specific framework such as maturity models and improvement programs have been identified. Many organizations today also use several different frameworks with partly the same content. Therefore, paper concludes by advocating for cooperation between functions using different frameworks based on the similarities identified within this paper to avoid creation of isolated framework islands. To be able to adopt a holistic approach and improve the entire business at an organization it is necessary to develop common methods for similar actions.

  • 7.
    Ericsson, Evelina
    et al.
    KTH, School of Electrical Engineering (EES), Industrial Information and Control Systems.
    Gustafsson, Pia
    KTH, School of Electrical Engineering (EES), Industrial Information and Control Systems.
    Lilliesköld, Joakim
    KTH, School of Electrical Engineering (EES), Industrial Information and Control Systems.
    Sörqvist, Lars
    KTH, School of Electrical Engineering (EES), Industrial Information and Control Systems.
    DFSS - Evolution or Revolution?: A study of critical effects related to successful implementation of DFSS2009In: Proceedings to International QMOD and Toulon-Verona Conference on Quality and Service Sciences, 2009Conference paper (Refereed)
  • 8.
    Ericsson, Evelina
    et al.
    KTH, School of Electrical Engineering (EES), Industrial Information and Control Systems.
    Lilliesköld, Joakim
    KTH, School of Electrical Engineering (EES), Industrial Information and Control Systems.
    Identifying weaknesses in the design for six sigma concept through a pedagogical structure2012In: 2012 Proceedings of Portland International Center for Management of Engineering and Technology: Technology Management for Emerging Technologies, PICMET'12, IEEE , 2012, p. 3379-3386Conference paper (Refereed)
    Abstract [en]

    All product-developing organizations strive with challenges regarding how to organize and structure their development projects. Faster market changes, increased number of competitors, ambivalent customers, new regulations and standards have made product development become more complex. Due to these challenges organizations need to focus on product development to be able to stay competitive in the market. Therefor several concepts fostering improvement in product development organizations have been developed during the last decades. One such concept is Design for Six Sigma (DFSS) aiming to improve and structure development processes and their included activities. The concept is still considered as new and until today based on a complex structure. This article introduces a pedagogical way to structure the DFSS concept simplifying organizational implementations and benchmarking of the concept. Also remaining gaps in the concept and hypotheses regarding how to counter these gaps are presented in the article.

  • 9.
    Ericsson, Evelina
    et al.
    KTH, School of Electrical Engineering (EES), Industrial Information and Control Systems.
    Lilliesköld, Joakim
    KTH, School of Electrical Engineering (EES), Industrial Information and Control Systems.
    Gingnell, Liv
    KTH, School of Electrical Engineering (EES), Industrial Information and Control Systems.
    A Survey of Quality Measurements in Product Development2012In: International Journal of Engineering and Technology, ISSN 1793-8236, E-ISSN 1793-8244, Vol. 4, no 3, p. 258-264Article in journal (Refereed)
    Abstract [en]

    There is a lack of definitions of clear quality measurements within existing product development literature. Several literature sources that mention measurements in product development base their attitude on the triple constraints division into time, costs and functionality/quality. This article summarizes proposed literature definitions of what to include within quality measurements in product development. The article also proposes a statement of different existing viewpoints of quality measurements within some organization’s development process.

  • 10.
    Ericsson, Evelina
    et al.
    KTH, School of Electrical Engineering (EES), Industrial Information and Control Systems.
    Lilliesköld, Joakim
    KTH, School of Electrical Engineering (EES), Industrial Information and Control Systems.
    von Würtemberg, Liv Marcks
    KTH, School of Electrical Engineering (EES), Industrial Information and Control Systems.
    Integrating DFSS and Lean Product Development: Using Project Management Success Factors to Evaluate Product Development Concepts2010In: Proceedings ASQ World conference on quality and Improvement, 2010Conference paper (Refereed)
    Abstract [en]

    In product development, there is a need for quality focused structures that enable connections between the development divvision and other departments within the company. During the last decade, several concepts for product development have arisen. Design for Six Sigma (DFSS) and Lean Product Development (LPD) are now the most well known quality focused concepts for product development. Even though DFSS and LPD share the same objectives, they are most often regarded independent from each other and most companies chose to work with only one of the concepts. This paper compares and analyzes DFSS and LPD in order to investigate if and how the concepts could be integrated with each other. A widened scope and an objective evaluation of both concepts are ensured by using a general project management approach. The analysis of DFSS and LPD is based on the fulfillment of the ten project management success factors as provided by the Standish Group in their of the cited Chaos report. Based on the analysis, this study concludes that an integration of DFSS and LPD is both possible and beneficial. Together, they meet the requirements of the success factors to a much larger extent than what would be the case for a single concept. From the perspective of The Standish Group a combination of DFSS and LPD generates an almost perfect and complete concept for product development. This paper presents a proposal of how to integrate DFSS and LPD combining parts from the LPD philosophy with concrete tools and structures from DFSS for maximal success.

  • 11.
    Ericsson, Evelina
    et al.
    KTH, School of Electrical Engineering (EES), Industrial Information and Control Systems.
    Lilliesköld, Joakim
    KTH, School of Electrical Engineering (EES), Industrial Information and Control Systems.
    Würtemberg, Liv Marcks von
    KTH, School of Electrical Engineering (EES), Industrial Information and Control Systems.
    A Survey of Quality Measurements in Product Development2011In: Proceedings 2011 International Conference on Product Development and Renewable Energy Resources, 2011Conference paper (Refereed)
  • 12.
    Ericsson, Evelina
    et al.
    KTH, School of Electrical Engineering (EES), Industrial Information and Control Systems.
    Lilliesköld, Joakim
    KTH, School of Electrical Engineering (EES), Industrial Information and Control Systems.
    Würtemberg, Liv Marcks von
    KTH, School of Electrical Engineering (EES), Industrial Information and Control Systems.
    Visual Planning Applied in a Research Environment2011In: Proceedings QMOD Conference on Quality and Service Sciences ICQSS, 2011Conference paper (Refereed)
  • 13.
    Ericsson, Evelina
    et al.
    KTH, School of Electrical Engineering (EES), Industrial Information and Control Systems.
    Von Würtemberg, L.M
    KTH, School of Electrical Engineering (EES), Industrial Information and Control Systems.
    Lilliesköld, Joakim
    KTH, School of Electrical Engineering (EES), Industrial Information and Control Systems.
    Who is the DFSS Black Belt?: An investigation of the competence profile of the role in theory and practice2011In: PICMET: Portland International Center for Management of Engineering and Technology, Proceedings , 2011, p. 6017809-Conference paper (Refereed)
    Abstract [en]

    Many companies of today use development concepts like Design for Six Sigma (DFSS) to structure and improve their development processes. An important part of the DFSS concept is the role structure and the role of the Black Belt in particular. That the DFSS Black Belts are given sufficient help to meet the high expectations of the role is therefore of crucial importance for the success of a DFSS initiative. When implementing DFSS in an organization, a training investment related to the role structure is recommended by literature. Little is however said about how this training should be carried out in practice. Interviews on a multinational Swedish organization recognized for its extensive DFSS and Six Sigma program shows that some requirements on DFSS Black Belt competences are not covered by existing literature or by the official descriptions of DFSS Black Belt certification requirements. The purpose of the article is to investigate the gap between what companies whish their DFSS Black Belts to know and what support research and DFSS training companies can offer in this matter. The paper also provides a competence profile for a DFSS Black Belt. The competence profile summarizes recommended knowledge for a DFSS Black Belt derived from literature, DFSS certification companies and practical experience from the case study company.

  • 14.
    Franke, Ulrik
    et al.
    KTH, School of Electrical Engineering (EES), Industrial Information and Control Systems.
    Johnson, Pontus
    KTH, School of Electrical Engineering (EES), Industrial Information and Control Systems.
    Ericsson, Evelina
    KTH, School of Electrical Engineering (EES), Industrial Information and Control Systems.
    Rocha Flores, Waldo
    KTH, School of Electrical Engineering (EES), Industrial Information and Control Systems.
    Zhu, Kun
    KTH, School of Electrical Engineering (EES), Industrial Information and Control Systems.
    Enterprise Architecture analysis using Fault Trees and MODAF2009In: Proceedings of the Forum at the CAiSE 2009 Conference, 2009, Vol. 453, p. 61-66Conference paper (Refereed)
    Abstract [en]

    Analysis of dependencies between information systems, business processes, and strategic goals is an important part of the discipline of Enterprise Architecture (EA). However, EA models typically provide only visual and qualitative decision support. This paper shows how EA frameworks for dependency analysis can be extended into the realm of quantitative methods by the use of techniques from Fault Tree Analysis (FTA). Using MODAF, the UK Ministry of Defence Architecture Framework as an example, we give a list of criteria for the extraction of a metamodel for FTA use, and provide such a metamodel for MODAF. Furthermore, we use this MODAF FTA metamodel to perform dependency analysis on a sample MODAF model.

  • 15.
    Gingnell, Liv
    et al.
    KTH, School of Electrical Engineering (EES), Industrial Information and Control Systems.
    Ericsson, Evelina
    KTH, School of Electrical Engineering (EES), Industrial Information and Control Systems.
    Lilliesköld, Joakim
    KTH, School of Electrical Engineering (EES), Industrial Information and Control Systems.
    Develop products in half the time: Lead time reduction in Swedish organizations2014Conference paper (Refereed)
    Abstract [en]

    This article reports experiences from five Swedish product development organizations,striving to decrease the lead time of the development projects. All companies used different strategies leading to varying results. One of the studied companies managed a50% lead time reduction, another have similar results within reach. The other approaches has not, or not yet, shown satisfying results. The two winning strategies both required a high degree of top management support, however in different ways. Either the courage to make drastic changes or persistence to continue with an initiative over time seems be necessary.

    Download full text (pdf)
    fulltext
  • 16.
    Gingnell, Liv
    et al.
    KTH, School of Electrical Engineering (EES), Industrial Information and Control Systems.
    Ericsson, Evelina
    KTH, School of Electrical Engineering (EES), Industrial Information and Control Systems.
    Lilliesköld, Joakim
    KTH, School of Electrical Engineering (EES), Industrial Information and Control Systems.
    IMPROVED VISUAL PLANNING IN A RESEARCH ENVIRONMENT2012Conference paper (Refereed)
    Abstract [en]

    Purpose- The purpose of the study is to investigate whether scrum can be of use in a visualplanning system in a research environment with no connection to software development.Design/Methodology/Approach- A cyclical action research approach was used, implyingthat the researchers took part in the design and development of the studied visual planningsystem.Findings- The scrum influences brought increased structure and efficiency to the studiedresearch process and increased the quality of the cooperation and communication betweenthe researchers. To function well in the non-software environment, the scrum techniqueshad to be complemented with visual long term planning.

    Download full text (pdf)
    Gingnell et al_Improved Visual Planning in a Research Environment
  • 17.
    Gingnell, Liv
    et al.
    KTH, School of Electrical Engineering (EES), Industrial Information and Control Systems.
    Ericsson, Evelina
    KTH, School of Electrical Engineering (EES), Industrial Information and Control Systems.
    Lilliesköld, Joakim
    KTH, School of Electrical Engineering (EES), Industrial Information and Control Systems.
    Lagerström, Robert
    KTH, School of Electrical Engineering (EES), Industrial Information and Control Systems.
    A Case Study on Product Development Performance Measurement2012In: Proceedings of The 2012 International Conference on Innovation, Management and Technology, 2012Conference paper (Refereed)
    Abstract [en]

    This paper presents a case study that evaluates the performance of the product development performance measurement system used in a Swedish company that is a part of a global corporate group. The study is based on internal documentation and eighteen indepth interviews with stakeholders involved in the product development process. The results from the case study include a description of what metrics that are in use, how these are employed, and its effect on the quality of the performance measurement system. Especially, the importance of having a well-defined process proved to have a major impact on the quality of the performance measurement system in this particular case.

  • 18.
    Gingnell, Liv
    et al.
    KTH, School of Electrical Engineering (EES), Industrial Information and Control Systems.
    Ericsson, Evelina
    KTH, School of Electrical Engineering (EES), Industrial Information and Control Systems.
    Lilliesköld, Joakim
    KTH, School of Electrical Engineering (EES), Industrial Information and Control Systems.
    Lagerström, Robert
    KTH, School of Electrical Engineering (EES), Industrial Information and Control Systems.
    STRATEGIC PERFORMANCE MEASUREMENT IN PRODUCT DEVELOPMENT: A case study on a Swedish company2012Conference paper (Refereed)
    Abstract [en]

    Performance evaluation of product development processes is becoming increasingly important as many companies experience tougher competition and shorter product life cycles. This article, based on a case study on a Swedish company investigates the needs and requirements that the company have on a future performance measurement system for product development. The requirements were found to mostly consider cooperation between functions, co-worker motivation and cost-efficient product solutions. These focus areas are common problems in product development since they are addressed in development concepts like Lean Product Development and Design for Six Sigma. Therefore, more research about how they can be supported by performance measurement system for product development would be of interest.

    Download full text (pdf)
    Gingnell et al_Strategic performance measurement in product development
  • 19.
    Gingnell, Liv
    et al.
    KTH, School of Electrical Engineering (EES), Industrial Information and Control Systems.
    Ericsson, Evelina
    KTH, School of Electrical Engineering (EES), Industrial Information and Control Systems.
    Sörqvist, Lars
    KTH, School of Electrical Engineering (EES), Industrial Information and Control Systems.
    Swedish Lean Product Development Implementation2012Conference paper (Refereed)
    Abstract [en]

    Lean Product Development is based on the same philosophy as Lean, applied in a research and development environment. The concept aims to create flow, quality and resource efficiency in the product development process. This paper investigates the implementation strategies of three Swedish companies that have been working with the concept for several years. The results from this study indicates that concrete methods like visual planning are good starting points for Lean Product Development implementation, but that the real results start to show first when the organizations work with methods and principles in parallel. Also, it may not necessarily be an advantage to have an experience of Lean in production environment before starting implement LPD.

    Download full text (pdf)
    Gingnell et al_Swedish Lean Product Development Implementation
  • 20.
    Gingnell, Liv
    et al.
    KTH, School of Electrical Engineering (EES), Industrial Information and Control Systems.
    Franke, Ulrik
    KTH, School of Electrical Engineering (EES), Industrial Information and Control Systems.
    Lagerström, Robert
    KTH, School of Electrical Engineering (EES), Industrial Information and Control Systems.
    Ericsson, Evelina
    KTH, School of Electrical Engineering (EES), Industrial Information and Control Systems.
    Lilliesköld, Joakim
    KTH, School of Electrical Engineering (EES), Industrial Information and Control Systems.
    Quantifying Success Factors for IT Projects-An Expert-Based Bayesian Model2014In: Information systems management, ISSN 1058-0530, E-ISSN 1934-8703, Vol. 31, no 1, p. 21-36Article in journal (Refereed)
    Abstract [en]

    Large investments are made annually to develop and maintain IT systems. Successful outcome of IT projects is therefore crucial for the economy. Yet, many IT projects fail completely or are delayed or over budget, or they end up with less functionality than planned. This article describes a Bayesian decision-support model. The model is based on expert elicited data from 51 experts. Using this model, the effect management decisions have upon projects can be estimated beforehand, thus providing decision support for the improvement of IT project performance.

    Download full text (pdf)
    fulltext
  • 21.
    Gustafsson, Pia
    et al.
    KTH, School of Electrical Engineering (EES), Industrial Information and Control Systems.
    Höök, David
    KTH, School of Electrical Engineering (EES), Industrial Information and Control Systems.
    Ericsson, Evelina
    KTH, School of Electrical Engineering (EES), Industrial Information and Control Systems.
    Lilliesköld, Joakim
    KTH, School of Electrical Engineering (EES), Industrial Information and Control Systems.
    Analyzing IT Impact on Organizational Structure: A Case Study2009In: PROCEEDINGS OF PICMET 09: TECHNOLOGY MANAGEMENT IN THE AGE OF FUNDAMENTAL CHANGE, NEW YORK: IEEE , 2009, p. 3113-3126Conference paper (Refereed)
    Abstract [en]

    Each year companies spend millions of dollars on IT investments hoping they will lead to higher profits. There are many methods for analyzing what these investments actually bring back to the companies, but unfortunately they are not stringent enough to make the analysis repeatable. This means that different investments cannot be compared to each other. The management paradigm of Enterprise Architecture (EA) is commonly used to structure a company from a holistic perspective. In this paper, an EA framework for assessing IT-systems' impact on an organization's business value through changes in its structure is validated. The foundation of the framework is a Bayesian inference engine allowing quantified analysis. For practical usage, this analysis framework is also expressed through modeling the organization with a metamodel. Together they form a structured method for quantitative analysis of the IT impact on organizations. An IT system for maintenance management within a European electric power utility has been used as a case study to validate the method. The organization and IT support have been modeled using the proposed metamodel and thereafter analyzed with the Bayesian network. The study has been conducted using guided interviews and a survey. The results from this study of how the business value has been influenced are compared to the user's perceptions on how the business values have changed are also presented in this paper.

  • 22. Holschke, Oliver
    et al.
    Närman, Per
    KTH, School of Electrical Engineering (EES), Industrial Information and Control Systems.
    Rocha Flores, Waldo
    KTH, School of Electrical Engineering (EES), Industrial Information and Control Systems.
    Ericsson, Evelina
    KTH, School of Electrical Engineering (EES), Industrial Information and Control Systems.
    Schönherr, Marten
    Using Enterprise Architecture Models and Bayesian Belief Networks for Failure Impact Analysis2010In: Journal of Enterprise Architecture, ISSN 2166-6768, Vol. 6, no 2Article in journal (Refereed)
    Abstract [en]

    The increasing complexity of enterprise information systems makes it very difficult to prevent local failures from causing ripple effects with serious repercussions to other systems. This article proposes the use of Enterprise Architecture models coupled with Bayesian Belief Networks to facilitate Failure Impact Analysis. By extending the Enterprise Architecture models with the Bayesian Belief Networks we are able to show not only the architectural components and their interconnections but also the causal influence the availabilities of the architectural elements have on each other. Furthermore, by using the Diagnosis algorithm implemented in the Bayesian Belief Network tool GeNIe, we are able to use the network as a Decision Support System and rank architectural components with their respect to criticality for the functioning of a business process. An example featuring a car rental agency demonstrates the approach.

  • 23. Holscke, Oliver
    et al.
    Närman, Per
    KTH, School of Electrical Engineering (EES), Industrial Information and Control Systems.
    Rocha Flores, Waldo
    KTH, School of Electrical Engineering (EES), Industrial Information and Control Systems.
    Eriksson, Evelina
    KTH, School of Electrical Engineering (EES), Industrial Information and Control Systems.
    Schönherr, Marten
    Using Enterprise Architecture Models and Bayesian Belief Networks for Failure Impact Analysis2009In: Lecture Notes in Computer Science: Service-Oriented Computing, 2009, p. 339-350Conference paper (Refereed)
    Abstract [en]

    The increasing complexity of enterprise information systems makes it very difficult to prevent local failures from causing ripple effects with serious repercussions to other systems. This paper proposes the use of Enterprise Architecture models coupled with Bayesian Belief Networks to facilitate Failure Impact Analysis. By extending the Enterprise Architecture models with the Bayesian Belief Networks we are able to show not only the architectural components and their interconnections but also the causal influence the availabilities of the architectural elements have on each other. Furthermore, by using the Diagnosis algorithm implemented in the Bayesian Belief Network tool GeNIe, we are able to use the network as a Decision Support System and rank architectural components with their respect to criticality for the functioning of a business process. An example featuring a car rental agency demonstrates the approach.

  • 24.
    Machado, Marcelo
    et al.
    Kwantlen Polytechnic University, Canada .
    Ericsson, Evelina
    KTH, School of Electrical Engineering (EES), Industrial Information and Control Systems.
    Verghese, George
    Kwantlen Polytechnic University, Canada .
    New Product Development Effectiveness: A Pathway to Sustainable Competitive Advantage2014In: PICMET 2014 - Portland International Center for Management of Engineering and Technology, Proceedings: Infrastructure and Service Integration, IEEE , 2014, p. 2111-2117Conference paper (Refereed)
    Abstract [en]

    New Product Development - NDP is a major source of competitive advantage to companies. Decades of quality research lead to substantial developments. Time-to-market was substantially reduced. The elimination of non-value-adding activities and a controlled, almost error-free flow from idea to launch resulted in substantial reduction of NPD expenditures yet improvements in project quality. Considering how increasingly challenging it is to launch successful products in the market, the question becomes is that enough? This study aims at discussing the idea of a greater emphasis on creativity may lead to a more effective NPD process. A more effective NPD process will in turn generate development of outstanding products; consequently increase revenues, profitability, brand value, stock performance and ultimately sustainable competitive advantages. In terms of organization, firstly this study will contain a literature review about pertinent NPD. Secondly, a conceptual model of NPD enabling both creativity and efficiency, consequently NPD effectiveness will be proposed. Finally, conclusions, limitations, and opportunities for future research will be discussed.

  • 25.
    Marcks von Würtemberg, Liv
    et al.
    KTH, School of Electrical Engineering (EES), Industrial Information and Control Systems.
    Ericsson, Evelina
    KTH, School of Electrical Engineering (EES), Industrial Information and Control Systems.
    Sörqvist, Lars
    KTH, School of Electrical Engineering (EES), Industrial Information and Control Systems.
    Effects of Advanced Terminology in Quality Management: A survey investigation from Swedish organizations2011Conference paper (Refereed)
    Abstract [en]

    To survive in the competitive market, most organizations of today work with quality improvement of some kind in their business. Many organizations use concepts like Six Sigma and Lean, either applied as the structure for the entire improvement work, or as inspiration where elements of the concepts are used in the business development. Within Lean and Lean Product Development (LPD) literature, Japanese terms are frequently used, something that companies have applied to different extents. In Six Sigma and Design for Six Sigma (DFSS) abbreviations are equally common. Furthermore, in non-English speaking countries the frequent use of English terms sometimes obstructs the understanding of the constructs. Altogether, independent of which quality improvement concept an organization chooses to work with, the possibilities of using advanced terminology in some form are numerous.

    The present study investigates possible consequences of using advanced terminology of any kind in quality management, using experience and examples from large Swedish organizations. The paper thoroughly discusses advantages and disadvantages with usage of specialist language, indicating both increased benchmarking opportunities that come with a common use of terms between companies and the risk that too advanced denominations leads to misunderstandings within an organization. Conclusively, the paper emphasizes the importance of making a distinction between terms that are constructs used in the quality management field as a profession and at the everyday work in an organization and to make intentionally conceived choices of what terms that are used within the organization.

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  • 26.
    Narman, Pia
    et al.
    KTH, School of Electrical Engineering (EES), Industrial Information and Control Systems.
    Ericsson, Evelina
    KTH, School of Electrical Engineering (EES), Industrial Information and Control Systems.
    Case study: Merging Technology Management Methods2011In: 2011 PROCEEDINGS OF PICMET 11: TECHNOLOGY MANAGEMENT IN THE ENERGY-SMART WORLD (PICMET) / [ed] Kocaoglu, DF; Anderson, TR; Daim, TU, NEW YORK: IEEE , 2011Conference paper (Refereed)
    Abstract [en]

    Nowadays IT functions are integrated part of organizations' business. One way to manage this integration is to make sure that both parties use similar words with the same meaning to everybody. A way to achieve this common vocabulary is to share methods and measurements to govern the activities. Unfortunately, many of these methods and frameworks are customized for a specific niche, especially the ones that are related to technology management. The decision of which framework to use is more often a result of culture or standard within the business category than of an analysis of which framework that would be the most beneficial for the company as a whole. This paper describes the process of the Swedish public agency working on the implementation of a common process for business improvement from the three perspectives of project management, quality improvement and enterprise architecture. Using action research within an implementation project at the organization, difficulties during the merging process were identified. The studied project deals with methods for technology management and consequently this is the base for the article.

  • 27.
    Von Würtemberg, Liv Marcks
    et al.
    KTH, School of Electrical Engineering (EES), Industrial Information and Control Systems.
    Franke, Ulrik
    KTH, School of Electrical Engineering (EES), Industrial Information and Control Systems.
    Nordström, Lars
    KTH, School of Electrical Engineering (EES), Industrial Information and Control Systems.
    Ericsson, Evelina
    KTH, School of Electrical Engineering (EES), Industrial Information and Control Systems.
    Lilliesköld, Joakim
    KTH, School of Electrical Engineering (EES), Industrial Information and Control Systems.
    Lagerström, Robert
    KTH, School of Electrical Engineering (EES), Industrial Information and Control Systems.
    IT project success factors: An experience report2011In: Portland International Center for Management of Engineering and Technology: Technology Management in the Energy-Smart World, 2011Conference paper (Refereed)
    Abstract [en]

    Large investments are made annually for development and maintenance ofITsystems, systems that support the core business of all types of companies and organizations. Successful outcome ofITprojectsis therefore a crucial issue for the economy at large, yet a majority of theITprojectscarried out today fail whenitcomes to finishing on time, within budget and with the desired quality. The contribution of this paper is theexperiencefrom 28ITprojects. The influence ofITprojectsuccessfactors, derived from previous research, were assessed by theprojectmanagers and compared with theprojectsoutcome in terms of time, budget and quality. Though the dataset is too small to allow generalization, thesuccessfactorsRisk analysis, User involvement and Top management support turned out to be of particular importance for the reviewedprojects.

  • 28.
    Von Würtemberg, Liv Marcks
    et al.
    KTH, School of Electrical Engineering (EES), Industrial Information and Control Systems.
    Lilliesköld, Joakim
    KTH, School of Electrical Engineering (EES), Industrial Information and Control Systems.
    Ericsson, Evelina
    KTH, School of Electrical Engineering (EES), Industrial Information and Control Systems.
    Abstract model of LPD: A critical review of the Lean Product Development concept2011In: PICMET: Portland International Center for Management of Engineering and Technology: Technology Management in the Energy-Smart World, 2011Conference paper (Refereed)
    Abstract [en]

    Many companies that have been working success- fully withLeanfor some years are now implementingLeanProduct Development,LPD. Even though much has been written about theLPDconcept,amain body of theLPDliterature is promoting the concept without objections. Accordingly, criticism towardsLPDtends to be undividedly negative to the concept. The contribution of the present study is twofold. First, it summarizes previous research about theLPDconcept inamodelin accordance with Enterprise Architecture terminology. This section also includesastructured breakdown of tools mentioned inLPDliterature. Second, the paper discusses both advantages and disadvantages with the concept, aiming to present an unfeigned picture ofLPD, using examples from Swedish industries. Thereby, the study clarifies which expectations thatacompany starting to implementLPDreasonably can have on the concept.

1 - 28 of 28
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