Integrating Sustainability in Product Requirements

Watz, Matilda; Hallstedt, Sophie I.

doi:10.21278/idc.2018.0377

Cited by 18 publications

(27 citation statements)

References 54 publications

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“…Participants, in total more than 100 distributed over the sequence of five pilot workshops, represented both academia and industry as well as a range of disciplines covering, for example, sustainability science, product design and development, economics, business modeling, education for sustainability, engineering design and manufacturing, and software development. To ensure that all sustainability dimensions and lifecycle phases as well as a strategic sustainability perspective was included in the sustainability criteria, these were derived using an sustainable product development method [37,38].…”

Section: Case 1 Group Model Building Workhop Methods For Sustainablementioning

confidence: 99%

Using Group Model Building to Foster Learning for Strategic Sustainable Development

Watz

2020

Sustainability

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Capability for strategic planning and decision-making toward sustainability requires both individuals and organizations from different sectors and disciplines to develop necessary skills and competencies. Therefore, a growing discussion has emerged within academia and practice around how pedagogical methods and tools can be utilized for this purpose. This paper seeks to contribute to this discussion by asking ‘in which way may group model building be used to foster learning that leads to competency for strategic sustainable development?’. The potential of the group model building (GMB) process’ steps and associated modeling to foster learning for strategic sustainable development (SSD) was analyzed using four case examples. Theory on learning for sustainability and key sustainability competencies were linked to elements of a process for strategic planning toward sustainability within the framework for strategic sustainable development (FSSD) as a reference model. The results provide a discussion on how GMB can be utilized to foster sustainability competencies and learning for sustainability that can contribute to SSD, hence a basis for continued research and ideas for course and curriculum development.

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Section: Case 1 Group Model Building Workhop Methods For Sustainablementioning

confidence: 99%

Using Group Model Building to Foster Learning for Strategic Sustainable Development

Watz

2020

Sustainability

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“…Researchers often refer to sustainability in general, when in fact they address only one dimension, whereas the triple bottom line (Elkington, 1998) explicitly demands equal attention to all three dimensions (Alhaddi, 2015). Economic sustainability, along with technological and operational concerns and in the recent past also ecological considerations have been frequently addressed in many research projects (Göhlich and Gräbener, 2016;Watz and Hallstedt, 2018). Another, comprehensive approach to address all dimensions of sustainability is "Transforming our world: the 2030 Agenda for Sustainable Development", where 17 sustainable development goals (SDGs) are defined (UN, 2015).…”

Section: The Dimensions Of Sustainable Developmentmentioning

confidence: 99%

Social Sustainability in the Development of Service Robots

Kohl

Schoor

Syré

et al. 2020

Proc. Des. Soc.: Des. Conf.

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We introduce the concept of social sustainability, intertwined with ecological and economic aspects, to the field of service robots and comparable automation technology. It takes a first step towards a comprehensive guideline that operationalizes and applies social sustainability. By applying this guideline to the project MURMEL we offer a concept that collects and rates social key issues to visualize their individual importance. Social sustainability is an important and often overlooked aspect of sustainable technology development which should be considered in the early development phase.

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“…First, the availability of first-hand data is limited because the data that populate VDD and SPD models reside not only within the product definition but also within the product life cycle and usage environment (Gautam & Singh 2008;Curran 2010;Hallstedt, Thompson & Lindahl 2013). Second, the relations between the design variables that have an impact on value and sustainability are difficult to identify (Bertoni et al 2018a;Watz & Hallstedt 2018). Third, value and sustainability models need to be coupled with effective approaches to communicate the results to engineers, who may not be accustomed to this type of information (Bertoni et al 2013).…”

Section: Value and Sustainability Challenges In Aerospace Product Devmentioning

confidence: 99%

Integration of value and sustainability assessment in design space exploration by machine learning: an aerospace application

et al. 2020

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The use of decision-making models in the early stages of the development of complex products and technologies is a well-established practice in industry. Engineers rely on well-established statistical and mathematical models to explore the feasible design space and make early decisions on future design configurations. At the same time, researchers in both value-driven design and sustainable product development areas have stressed the need to expand the design space exploration by encompassing value and sustainability-related considerations. A portfolio of methods and tools for decision support regarding value and sustainability integration has been proposed in literature, but very few have seen an integration in engineering practices. This paper proposes an approach, developed and tested in collaboration with an aerospace subsystem manufacturer, featuring the integration of value-driven design and sustainable product development models in the established practices for design space exploration. The proposed approach uses early simulation results as input for value and sustainability models, automatically computing value and sustainability criteria as an integral part of the design space exploration. Machine learning is applied to deal with the different levels of granularity and maturity of information among early simulations, value models, and sustainability models, as well as for the creation of reliable surrogate models for multidimensional design analysis. The paper describes the logic and rationale of the proposed approach and its application to the case of a turbine rear structure for commercial aircraft engines. Finally, the paper discusses the challenges of the approach implementation and highlights relevant research directions across the value-driven design, sustainable product development, and machine learning research fields.

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Integrating Sustainability in Product Requirements

Cited by 18 publications

References 54 publications

Using Group Model Building to Foster Learning for Strategic Sustainable Development

Using Group Model Building to Foster Learning for Strategic Sustainable Development

Social Sustainability in the Development of Service Robots

Integration of value and sustainability assessment in design space exploration by machine learning: an aerospace application

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