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

Abstract The development of sustainable and resource-efficient products requires consideration of multiple design targets concerning the whole product life cycle. Taking these factors into account leads to complex decision situations with conflicting targets and trade-offs. To support design engineers in these situations an Engineering Decision Support System (EDSS) has been developed. In this article, the overall concept of the EDSS is presented. Furthermore, one function of the EDSS to assist a systematic comparison of product variants is introduced in detail. It is based on combining an existing PLM solutions (in particular Siemens Teamcenter 11/Siemens NX9) and software for Life Cycle Assessment (GaBi 7). Beyond a proof of concept for information exchange between both systems a methodology is presented which enables design engineers to systematically assess and select multiple product variants based on their resource utilization. The approach is complemented with a comprehensive case study for different design options of a core slide. In the scope of this study, variations of geometry (solid vs. hollow design), materials (hot-working steel vs. nickel-based superalloy) and manufacturing processes (laser metal deposition vs. milling) were considered. Furthermore, a usability study of the decision support tool is shown.

[1]  Rainer Stark,et al.  Multi-criteria Decision Making as a Tool for Sustainable Product Development – Benefits and Obstacles , 2015 .

[2]  S. Hart,et al.  Development of NASA-TLX (Task Load Index): Results of Empirical and Theoretical Research , 1988 .

[3]  Martin Eigner,et al.  Sustainable Product Lifecycle Management: A Lifecycle based Conception of Monitoring a Sustainable Product Development , 2011 .

[4]  Fred D. Davis.  Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology , 1989, MIS Q..

[5]  Marcus Kim,et al.  Resource Optimized Product Design – Assessment of a Product's Life Cycle Resource Efficiency by Combining LCA and PLM in the Product Development , 2016 .

[6]  Albert Albers,et al.  Produktgenerationsentwicklung - Bedeutung und Herausforderungen aus einer entwicklungsmethodischen Perspektive , 2015 .

[7]  N. Nakicenovic,et al.  Climate change 2007: Mitigation. Contribution of Working Group III to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. Summary for Policymakers. , 2007 .

[8]  Reiner Anderl,et al.  Techniques for the integration of expert knowledge into the development of environmentally sound products , 2004 .

[9]  Matthias Ehrgott,et al.  Multicriteria Optimization , 2005 .

[10]  Rainer Stark,et al.  Model-based sustainable product development , 2016 .

[11]  Michele Germani,et al.  Review of ecodesign methods and tools. Barriers and strategies for an effective implementation in industrial companies , 2016 .

[12]  Oleksandr Romanko,et al.  Normalization and Other Topics in Multi­Objective Optimization , 2006 .

[13]  Moritz Alkhayat,et al.  E3-Produktion , 2016 .

[14]  Fritz Klocke,et al.  Investigation and Assessment of Resource Consumption of Process Chains , 2015 .

[15]  Detlef Gerhard,et al.  Integrating LCA into PDM for Ecodesign , 2011 .