Agile Beyond Software - A Study of a Large Scale Agile Initiative

Lindlöf, Ludvig; Furuhjelm, Jörgen

doi:10.21278/idc.2018.0411

Cited by 8 publications

(2 citation statements)

References 13 publications

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“…Traditional management principles like standardized State-Gate process (Cooper 2008) with a waterfall approach try to minimize ECRs with a structured processes (Sommer et al 2015), but still many ECRs are managed in complex development projects (Giffin et al 2009). Currently Agile processes (Beck et al 2001) are becoming more accepted, as research shows performance improvement within companies who rely more on frequent iterative intensive processes like Agile or Agile/Stage-Gate Hybrids (Sommer et al 2015;Lindlöf & Furuhjelm 2018;Söderqvist, Lindlöf & Trygg 2019).…”

Section: Discussionmentioning

confidence: 99%

Modeling industrial engineering change processes using the design structure matrix for sequence analysis: a comparison of multiple projects

et al. 2020

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The problem at hand is that vast amount of data on industrial changes is captured and stored; yet the present challenge is to systematically retrieve and use them in a purposeful way. This paper presents an industrial case study where complex product development processes are modeled using the design structure matrix (DSM) to analyze engineering change requests sequences. Engineering change requests are documents used to initiate a change process to enhance a product. Due to the amount of changes made in different projects, engineers want to be able to analyze these change processes to identify patterns and propose the best practices. The previous work has not specifically explored modeling engineering change requests in a DSM to holistically analyze sequences. This case study analyzes engineering change request sequences from four recent industrial product development projects and compares patterns among them. In the end, this research can help to identify and guide process improvement work within projects.

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Section: Discussionmentioning

confidence: 99%

Modeling industrial engineering change processes using the design structure matrix for sequence analysis: a comparison of multiple projects

et al. 2020

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“…Agile processes are characterized by a sequence of iterative sprints, in which parallelized activities are undertaken. At the end of each sprint, an incremental prototype of the product or various subsystems is created so that during the entire process the degree of maturity of the product is continuously and successively increased (Lindlöf and Furuhjelm, 2018). Each incremental prototype increases the functionality or features or confidence of the previous prototype generation.…”

Section: Agile Product Developmentmentioning

confidence: 99%

Munich Agile MBSE Concept (MAGIC)

Salehi¹,

Wang²

2019

Proc. Int. Conf. Eng. Des.

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Model-based systems engineering (MBSE) is well-known in gaining the control over the complexity of systems and the development processes, while agile is a project management methodology originally from software development that uses short development cycles to focus on continuous improvement in the development of a product or service. In this paper, we adopt the concept of agile into MBSE and then proposed the new approach - Munich Agile MBSE Concept (MAGIC). The highlights of the MAGIC approach can be concluded as 1) the requirements which have been defined in the first stage will be examined and traced at each following stages; 2) communication between every 2 stages always exists in order to have a close connection during each system development phase; 3) the idea of Industry 4.0 has been included and reflected to achieve automation and data exchange with manufacturing technologies; 4) the concept of IOT (Internet of Things) is also considered when it comes to the usage and service of the system to satisfy the customer's needs; 5) the whole spirit of agile is reflected as the iterative and incremental design and development

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Applying Behavioral Science to Agile Practice Evolution

Rosser¹,

Ganus²

2021

INSIGHT

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Early agile practices developed by trial and error and are retained “because they work.” The fact that certain approaches work well in agile realization of products and services is not accidental – it is rooted in the study of psychology, sociology, and human performance. For example, the “ideal agile team size” of 7 plus or minus 2 not only works but is supported by psycho‐social theories such as the Ringleman effect, social channel capacity and short‐term memory limitations. Examples of similar relations between behavioral science and agile patterns abound – preferred planning horizons, methods of estimating effort and approaches to scaling agile all relate to our understanding of human behavior individually and in groups. This article will explore such relationships with the intent to provide agile practitioners with information about the underpinning of practices, and social scientists with examples of how their work contributes to the improvement of agile practices.

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Agile Beyond Software - A Study of a Large Scale Agile Initiative

Cited by 8 publications

References 13 publications

Modeling industrial engineering change processes using the design structure matrix for sequence analysis: a comparison of multiple projects

Modeling industrial engineering change processes using the design structure matrix for sequence analysis: a comparison of multiple projects

Munich Agile MBSE Concept (MAGIC)

Applying Behavioral Science to Agile Practice Evolution

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