Visual Communication Methods and Tools for Sustainability Performance Assessment: Linking Academic and Industry Perspectives

Abstract Effective decision-making based on quantitative analysis is limited by analysts’ abilities to visualize and interpret data and information, a critical challenge in sustainability performance assessment. Non-experts, including students and marketing/finance professionals, often lack experience in interpreting complex data and results, increasing the difficulty of evaluating product sustainability performance. A lack of robust and clear visualization frameworks represents a barrier in advancing the efficacy of sustainability analyses, the tools used for such analyses, and the decisions based on them, exacerbated by the gap between research and industry practice. Emerging and ongoing efforts are investigated by reviewing the research literature on the visual communication of quantitative sustainability performance information and by collecting direct input from sustainability assessment practitioners. While the communication of complicated and uncertain results is an active area of research, prior visualization tool development efforts in support of sustainable product, process, and supply chain design decision-making have found little commercial application. Viewed as a thorny challenge by practitioners, our analysis did not find universal guidance for visualization, but it did uncover best practices for presenting actionable sustainability analysis results that could provide a starting point. Based on the intersection of the literature analysis and primary source interviews, we provide a snapshot of the current state in the field and present potential research avenues.

[1]  David R. Purkey,et al.  Exploring scientific information for policy making under deep uncertainty , 2016, Environ. Model. Softw..

[2]  Qinghua Zhu,et al.  Evaluating green supplier development programs at a telecommunications systems provider , 2012 .

[3]  Clara Rosalía Álvarez-Chávez,et al.  Sustainability of bio-based plastics: general comparative analysis and recommendations for improvement , 2012 .

[4]  Kyoung-Yun Kim,et al.  Enabling Non-expert Sustainable Manufacturing Process and Supply Chain Analysis During the Early Product Design Phase , 2017 .

[5]  Srikanth Devanathan,et al.  Integration of Sustainability Into Early Design Through the Function Impact Matrix , 2010 .

[6]  Fumihiko Kimura,et al.  Efficient information visualization in LCA: Application and practice , 2004 .

[7]  D. E. Koulouriotis,et al.  Robot evaluation and selection Part B: a comparative analysis , 2014 .

[8]  Miguel Ortega-Mier,et al.  A grey-DEcision-MAking Trial and Evaluation Laboratory (DEMATEL) analysis on the barriers between environmentally friendly products and consumers: practitioners' viewpoints on the European automobile industry , 2016 .

[9]  Joseph H. A. Guillaume,et al.  An iterative method for discovering feasible management interventions and targets conjointly using uncertainty visualizations , 2015, Environ. Model. Softw..

[10]  F. Colijn,et al.  A quantitative method for description & assessment of ecosystems: The AMOEBA-approach , 1991 .

[11]  Márcio Minto Fabricio,et al.  Life cycle assessment and environmental-based choices at the early design stages: an application using building information modelling , 2018 .

[12]  Qinghua Zhu,et al.  Barriers to environmentally-friendly clothing production among Chinese apparel companies , 2011 .

[13]  Sami Kara,et al.  Toward integrated product and process life cycle planning—An environmental perspective , 2012 .

[14]  Yasushi Umeda,et al.  Generating design alternatives for increasing recyclability of products , 2013 .

[15]  Wei Chen,et al.  Predicting product co-consideration and market competitions for technology-driven product design: a network-based approach , 2018, Design Science.

[16]  Kyoung-Yun Kim,et al.  A cyberlearning platform for enhancing undergraduate engineering education in sustainable product design , 2019, Journal of Cleaner Production.

[17]  Ning Chen,et al.  Visually enhanced situation awareness for complex manufacturing facility monitoring in smart factories , 2018, J. Vis. Lang. Comput..

[18]  Helwig Hauser,et al.  Visualization and Visual Analysis of Multifaceted Scientific Data: A Survey , 2013, IEEE Transactions on Visualization and Computer Graphics.

[19]  Luigi De Napoli,et al.  An integrated model for the environmental assessment of industrial products during the design process , 2017, Concurr. Eng. Res. Appl..

[20]  Yuan Liu,et al.  A Stochastic ANP-GCE Approach for Vulnerability Assessment in the Water Supply System With Uncertainties , 2016, IEEE Transactions on Engineering Management.

[21]  Karthik Ramani,et al.  Prioritizing Design for Environment Strategies Using a Stochastic Analytic Hierarchy Process , 2014 .

[22]  Sean P. Willems,et al.  Data Set - Real-World Multiechelon Supply Chains Used for Inventory Optimization , 2008, Manuf. Serv. Oper. Manag..

[23]  Niklas Elmqvist,et al.  Mutually Coordinated Visualization of Product and Supply Chain Metadata for Sustainable Design , 2015 .

[24]  Alena Kocmanová,et al.  Corporate Sustainability Measurement and Assessment of Czech Manufacturing Companies Using a Composite Indicator , 2017 .

[25]  Irem Y. Tumer,et al.  Integrating Life Cycle Assessment Into the Conceptual Phase of Design Using a Design Repository , 2010 .

[26]  H. Scott Matthews,et al.  Representing and visualizing data uncertainty in input-output life cycle assessment models , 2018, Resources, Conservation and Recycling.

[27]  Tamara Munzner,et al.  Vismon: Facilitating Analysis of Trade‐Offs, Uncertainty, and Sensitivity In Fisheries Management Decision Making , 2012, Comput. Graph. Forum.

[28]  Wei-Wen Wu,et al.  Developing global managers' competencies using the fuzzy DEMATEL method , 2007, Expert Syst. Appl..

[29]  Karl R. Haapala,et al.  Synergizing Product Design Information and Unit Manufacturing Process Analysis to Support Sustainable Engineering Education , 2019 .

[30]  Guillaume Habert,et al.  LCA and BIM: Visualization of environmental potentials in building construction at early design stages , 2018, Building and Environment.

[31]  Joaquim Ciurana,et al.  Industry and university cooperation to enhance manufacturing education , 2005 .