Increasing resource efficiency with an engineering decision support system for comparison of product design variants

Buchert, Tom; Ko, Nathanael; Graf, Roberta; Vollmer, Thomas; Alkhayat, Moritz; Brandenburg, Elisabeth; Stark, Rainer; Klocke, Fritz; Leistner, Philip; Schleifenbaum, Johannes Henrich

doi:10.1016/j.jclepro.2018.11.104

Cited by 16 publications

(6 citation statements)

References 6 publications

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“…Tracking each step of a supply chain and carrying out sustainability assessments entail considerable time, data and effort (Belaud, Prioux, Vialle, & Sablayrolles, 2019). Also, using sustainability assessment results for developing sustainable products is not always a straightforward task and can be seen as a "multi-criteria decision problem" which inter alia needs increased transparency of design solutions to allow for better-informed decision making (Buchert et al, 2019).…”

Section: Sustainable Product Managementmentioning

confidence: 99%

Application of digital technologies for sustainable product management in a circular economy – a review

Rusch¹,

Schöggl²,

Baumgartner³

2021

Preprint

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Digital technologies (DTs), such as the internet of things, big data, artificial intelligence or blockchain, are considered as enablers for a more sustainable and circular economy. So far, literature on these topics has mostly focused on specific DTs and sub-areas of sustainable product management (SPM). The aim of this paper is to provide a more comprehensive overview of current and potential examples of DT applications in SPM (e.g., product design/assessment, supply chain management, business models). The collected examples (n=146) were analyzed based on a systematic literature review, using quantitative and qualitative content analysis. Deductive and inductive analyses of the examples revealed the potential of DTs in terms of their useability along the product life cycle, their role as enablers for circular economy strategies and in specific SPM activities. DT application often entails only incremental improvements, e.g., increased efficiency of existing processes, with more radical forms of improvement remaining relatively scarce. There is clear room for greater adoption and optimization of DTs, in various areas of SPM, so as to accelerate the transition towards a more sustainable and circular economy.

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Section: Sustainable Product Managementmentioning

confidence: 99%

Application of digital technologies for sustainable product management in a circular economy – a review

Rusch¹,

Schöggl²,

Baumgartner³

2021

Preprint

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“…In AM, NASA-TLX was used as a determining criterion for the choice of a new assembly method, in which the mental load was a critical factor of the operator's performance (Al-ahmari, Ameen, & Haider, 2018). In many cases of manufacture and health procedures, NASA-TLX has been used to determine workload in repetitive activities using the analysis to improve the tasks reducing the level of workload during their execution (Buchert et al, 2019, Dodou, Fan, Sc, Jelı, & Breedveld, 2015.…”

Section: Discussionmentioning

confidence: 99%

Application of NASA-TLX and SHERPA in Setting Up Fused Filament Fabrication Equipment

2019

Proceedings of the Human Factors and Ergonomics Society Annual

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The use of new technologies in productive processes nowadays poses a challenge to the users, mainly because those technologies create them a necessity for learning and adaptation. This study focused on the assessment and analysis of mental workload and human error as experienced by users of Fused Filament Fabrication (FFF) printers, which is the most recent development in a series of technologies known as Additive Manufacturing (AM). Eight subjects were asked to complete the setting up of three commercial FFF equipment. Hierarchical Task Analysis (HTA) was used to describe the tasks. NASA-TLX method was used to assess the mental workload involved, and SHERPA method was applied to identify human errors while completing the task. The results of HTA show that leveling the printing bed is the most demanding activity on the subject's concentration. NASA-TLX shows that Mental Demand subscale had the highest average punctuation with 78.75 points, followed by Temporal Demand with an average of 61 points. As for SHERPA analysis, 59 human errors were identified in that particular task. In detail, 54.2% were action errors, 22.0% were selection errors, and 18.6% were checking errors. The combination of HTA, NASA-TLX and SHERPA techniques, permitted a complete analysis of the interaction between humans and this technology, opening the way to improvements in the design of FFT equipment which possibly might prevent future effects on user’s health.

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“…In addition to that, to increase the effectiveness of a DSM, it is implemented into a DSS. This caters to decision-makers at different managerial levels (Buchert et al, 2019). Since a DSS is a useful tool in different stages of a project, it is widely applied in the early stages of a project, especially during the project selection and risk management stage (Celent et al, 2022).…”

Section: Decision Support Models and Systemsmentioning

confidence: 99%

Proposal of a Decision Support System and Model to Mitigate Scope Variability for New Product Development

Sundram¹,

Lew

Chin

2022

International Journal of Decision Support System Technology

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This paper proposes a decision support model (DSM) to be used by project managers (PM) in the research of new products within multinational companies to select the right option to mitigate scope variability during critical junctures like project continuity. On-the-shelf DSM are leveraged to overcome their shortcomings with more effective and relevant solutions. The proposed DSM is a consolidation of on-the-shelf DSM and methodologies such as balanced scorecard; quality function deployment; analytic hierarchy process; strengths, weaknesses, opportunities, and threats; and agile methodology, leading to an application in a decision support system (DSS) using progressive web applications. Feedback and input were collected through interviews with experienced PMs. Performance indicators were then developed to be reviewed by the PM to verify their applicability. Based on the feedback obtained, the developed model contributes to the engineering research industry as it mitigates common challenges that PMs face by efficiently providing a solution-seeking guideline.

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Increasing resource efficiency with an engineering decision support system for comparison of product design variants

Cited by 16 publications

References 6 publications

Application of digital technologies for sustainable product management in a circular economy – a review

Application of digital technologies for sustainable product management in a circular economy – a review

Application of NASA-TLX and SHERPA in Setting Up Fused Filament Fabrication Equipment

Proposal of a Decision Support System and Model to Mitigate Scope Variability for New Product Development

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