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Research Papers

Generating Contextual Design for Environment Principles in Sustainable Manufacturing Using Visual Analytics

[+] Author and Article Information
Devarajan Ramanujan

Department of Engineering,
Aarhus University,
Aarhus C 8000, Denmark
e-mail: devr@eng.au.dk

William Z. Bernstein

Systems Integration Division,
National Institute of Standards and Technology,
Gaithersburg, MD 20899

Maria Aurrekoetxea Totorikaguena, Charlotte Frølund Ilvig, Klaus Bonde Ørskov

Danish Advanced Manufacturing
Research Center,
Herning 7400, Denmark

1Corresponding author.

Manuscript received May 5, 2018; final manuscript received October 22, 2018; published online December 24, 2018. Assoc. Editor: Karl R. Haapala. This work is in part a work of the US Government. ASME disclaims all interest in the U.S. Government's contributions.

J. Manuf. Sci. Eng 141(2), 021016 (Dec 24, 2018) (12 pages) Paper No: MANU-18-1302; doi: 10.1115/1.4041835 History: Received May 05, 2018; Revised October 22, 2018

Design for environment (DfE) principles are helpful for integrating manufacturing-specific environmental sustainability considerations into product and process design. However, such principles are often overly general, static, and disconnected from production contexts. This paper proposes a visual analytics (VA)-based framework for generating DfE principles that are contextualized to specific production setups. These principles are generated through interactive visual exploration of design and process parameters as well as manufacturing process performance metrics corresponding to the production setup. We also develop a formal schema for aiding storage, updating, and reuse of the generated DfE principles. In this schema, each DfE principle is associated with corresponding product lifecycle data and the evidence that led to the generation of that principle. We demonstrate the proposed VA framework using data from an industry-led experiment that compared dry ice (DI)-based and oil-based milling for a specific production setup.

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Figures

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Fig. 1

Conceptual overview of the VA-based approach for generating contextual DfE principles in sustainable manufacturing

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Fig. 2

Overview of the methodology for generating contextual DfE principles in sustainable manufacturing using VESPER. As shown, the tasks involved can be divided into three steps: (i) data gathering and preprocessing, (ii) interactive visual exploration, and (iii) DfE principle(s) generation.

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Fig. 3

Examples of categorical and numerical characteristics for both Assembly and Part elements. KPIs refer to any performance characteristic.

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Fig. 4

Unified modeling language conceptual diagram describing the formal schema for a DfE principles within VESPER

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Fig. 5

Analysts interact with the visual interface by exploring part data, similarity and performance metrics, as well as the selected DfE principles. Contextual DfE principles are generated by the analysts by exploring these data. The visual interface also facilities export of the generated DfE principles and analysts' interaction data. The dotted line in the figure represents analysts' interactions with the tool, while the solid lines represent automated operations.

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Fig. 6

Process plans for the cylinder and cube geometry. The machining depth for each operation (shown in the Z axis) was the same for both geometries.

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Fig. 7

Contextual DfE subprinciples added by the PE under the minimize material waste DfE principle

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Fig. 8

Screen capture of the prototype visual interface implemented for the case study. Note data related to process and performance parameters are boxed out due to confidentiality requirements. Elements present in the interface are detailed in Sec.4.3.

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Fig. 9

(a) DfE database populated with contextual DfE principles generated in the case study. (b) DfE principles exported to a spreadsheet.

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